Longitudinal Assortative Mating Results: Transition to Parenthood

library(here)        # for file directory
library(tidyr)       # for pivot_wider
library(rio)         # to load in data
library(dplyr)       # general wrangling
library(rempsyc)     # simple slopes analysis
library(Hmisc)       # correlation matrix
library(psych)       # fisher's z transformation
library(lme4)        # linear mixed model   
library(lmerTest)    # linear mixed model significance test
library(lavaan)      # RI-CLPM
library(semPlot)     # semPaths
library(kableExtra)  # for styling and scroll_box

# source the helper file
source("00_helpers.R")

Meta Data

This is the analytic report for the Transition to Parenthood dataset.

• Online access: This analytic report is published on RPubs.
• Preregistration document: RPubs.
• Descriptives and exploratory data analysis on the Transition to Parenthood analytic dataset: RPubs.

# load in data
data_ttp <- rio::import(paste0(here(), "/data/cleaned_data_ttp.RDS"))

# example data
head(data_ttp) %>% 
  knitr::kable(
    caption = "Example first 6 rows of the Transition to Parenthood dataset"
  ) %>% 
  kableExtra::kable_styling() %>%
  scroll_box(height = "300px")

Example first 6 rows of the Transition to Parenthood dataset

couple	time	P1Aage_1	P1Aage_2	P1Arace_1	P1Arace_2	P1Aeducate_1	P1Aeducate_2	P1Aincome_1	P1Aincome_2	bfi_e_1	bfi_e_2	bfi_a_1	bfi_a_2	bfi_c_1	bfi_c_2	bfi_n_1	bfi_n_2	bfi_o_1	bfi_o_2	ecr_avoid_1	ecr_avoid_2	ecr_anx_1	ecr_anx_2	ss_partner_1	ss_partner_2	ss_self_1	ss_self_2	sp_partner_1	sp_partner_2	sp_self_1	sp_self_2	ks_prox_partner_1	ks_prox_partner_2	ks_sens_partner_1	ks_sens_partner_2	ks_coop_partner_1	ks_coop_partner_2	ks_comp_partner_1	ks_comp_partner_2	ks_prox_self_1	ks_prox_self_2	ks_sens_self_1	ks_sens_self_2	ks_coop_self_1	ks_coop_self_2	ks_comp_self_1	ks_comp_self_2	con_collab_partner_1	con_collab_partner_2	con_capit_partner_1	con_capit_partner_2	con_stale_partner_1	con_stale_partner_2	con_verba_partner_1	con_verba_partner_2	con_collab_self_1	con_collab_self_2	con_capit_self_1	con_capit_self_2	con_stale_self_1	con_stale_self_2	con_verba_self_1	con_verba_self_2	P1Amyears_1	P1Amyears_2	P1Ammonths_1	P1Ammonths_2	P1Amtotalmo_1	P1Amtotalmo_2	P1Altyears_1	P1Altyears_2	P1Altmon1_1	P1Altmon1_2	P1Altotalmo_1	P1Altotalmo_2	das_satis_1	das_satis_2	das_coh_1	das_coh_2
1	0	25	24	1	1	5	6	2	2	2.000000	3.857143	2.857143	3.428571	3.714286	3.714286	2.714286	2.285714	1.857143	2.714286	2.888889	2.888889	3.944444	3.166667	4.857143	5.714286	5.857143	6.000000	0.9285714	1.0000000	1.0000000	1.0000000	5.625	5.250	3.125	5.000	3.25	4.750	4.750	4.750	5.375	5.500	3.250	4.750	3.500	3.750	4.625	3.125	4.000	2.750	3.142857	2.285714	2.4	2.0	3.625	1.750	3.125	3.250	3.714286	1.714286	2.6	1.2	4.250	2.000	2	2	1	2	25	26	NA	NA	NA	NA	NA	NA	42	41	16	18
1	7	25	24	1	1	5	6	2	2	2.000000	3.857143	2.857143	3.428571	3.714286	3.714286	2.714286	2.285714	1.857143	2.714286	3.555556	2.000000	3.666667	2.833333	6.857143	5.428571	5.857143	5.857143	1.0000000	0.8571429	1.0000000	0.9285714	5.000	4.500	4.375	4.875	2.75	4.250	5.750	4.125	4.750	6.375	4.125	5.625	3.875	4.125	5.500	3.750	5.375	4.125	2.571429	2.428571	1.4	2.2	3.375	3.125	5.000	4.875	3.571429	2.428571	2.2	1.0	3.125	2.500	2	2	1	2	25	26	NA	NA	NA	NA	NA	NA	40	46	20	20
1	13	25	24	1	1	5	6	2	2	2.000000	3.857143	2.857143	3.428571	3.714286	3.714286	2.714286	2.285714	1.857143	2.714286	3.388889	1.611111	3.444444	2.777778	4.714286	5.857143	5.000000	5.000000	1.0000000	1.0000000	1.0000000	0.7857143	5.625	6.000	2.750	4.625	3.25	5.375	5.500	4.625	5.000	5.875	2.750	5.000	3.750	3.750	5.875	3.750	3.125	4.250	2.714286	2.285714	1.6	1.2	3.125	1.000	3.000	4.750	2.000000	2.714286	1.2	1.0	2.500	2.000	2	2	1	2	25	26	NA	NA	NA	NA	NA	NA	40	44	19	20
1	19	25	24	1	1	5	6	2	2	2.000000	3.857143	2.857143	3.428571	3.714286	3.714286	2.714286	2.285714	1.857143	2.714286	3.888889	2.000000	3.555556	3.058823	5.142857	5.428571	5.142857	5.857143	1.0000000	1.0000000	1.0000000	0.7857143	5.250	5.625	4.500	3.750	2.75	4.125	4.500	3.750	4.375	5.125	3.375	4.125	4.000	3.750	5.375	3.375	4.250	3.750	4.000000	3.714286	1.8	1.2	3.750	2.000	4.000	5.000	3.000000	2.714286	2.4	1.6	4.500	3.000	2	2	1	2	25	26	NA	NA	NA	NA	NA	NA	45	46	22	21
1	25	25	24	1	1	5	6	2	2	2.000000	3.857143	2.857143	3.428571	3.714286	3.714286	2.714286	2.285714	1.857143	2.714286	3.722222	1.388889	3.277778	1.555556	5.000000	5.285714	5.857143	5.000000	1.0000000	1.0000000	1.0000000	0.7857143	5.500	5.375	4.000	5.125	3.25	4.875	5.375	3.750	4.375	5.250	4.875	4.750	3.750	3.875	5.375	3.750	4.500	5.500	2.714286	3.142857	2.4	1.6	2.750	1.375	4.375	3.500	2.571429	1.714286	2.2	1.4	2.625	2.125	2	2	1	2	25	26	NA	NA	NA	NA	NA	NA	40	42	21	21
2	0	25	26	1	1	5	4	3	3	3.142857	2.714286	4.571429	4.428571	3.142857	3.571429	1.142857	2.714286	3.285714	3.285714	2.444444	1.944444	2.222222	1.500000	6.285714	6.714286	6.000000	7.000000	0.6428571	0.8571429	0.4285714	0.8461538	6.750	5.625	4.375	6.375	5.25	6.250	5.750	4.375	3.750	6.875	5.250	5.750	5.375	6.000	6.000	5.375	3.875	4.125	1.285714	2.571429	2.0	1.2	1.625	1.500	5.000	1.125	1.571429	1.428571	1.0	1.0	1.250	1.250	4	4	6	6	54	54	NA	NA	NA	NA	NA	NA	44	42	18	18

Missingness Analysis

miss_analysis(ID = "couple", var = c("ecr_avoid_1", "ecr_avoid_2"), 
              var_demo = c("P1Aage_1", "P1Aage_2", "P1Arace_1", "P1Arace_2",
                           "P1Aeducate_1", "P1Aeducate_2",
                           "P1Aincome_1", "P1Aincome_2",
                           "P1Altotalmo_1", "P1Altotalmo_2",
                           "bfi_o_1", "bfi_c_1", "bfi_e_1", "bfi_a_1", "bfi_n_1",
                           "bfi_o_2", "bfi_c_2", "bfi_e_2", "bfi_a_2", "bfi_n_2"), 
              var_rela = paste0(rep(c("das_satis_", "das_coh_",
                                      "ecr_avoid_", "ecr_anx_",
                                      "ss_self_", "sp_self_",
                                      "ks_prox_self_", "ks_sens_self_",
                                      "ks_coop_self_", "ks_comp_self_",
                                      "con_collab_self_", "con_capit_self_", 
                                      "con_stale_self_", "con_verba_self_"), each = 2),
                                rep(c(1,2), times = 14)),
              data = data_ttp)

P1Aage_1 predicting missingness

	Estimate	Std. Error	z value	Pr(>|z|)
(Intercept)	1.4644745	1.2091298	1.211181	0.2258262
P1Aage_1	-0.0862611	0.0454682	-1.897173	0.0578051

P1Aage_2 predicting missingness

	Estimate	Std. Error	z value	Pr(>|z|)
(Intercept)	2.1186901	1.2263589	1.727626	0.0840552
P1Aage_2	-0.1058112	0.0438839	-2.411164	0.0159017

P1Arace_1 predicting missingness

	Estimate	Std. Error	z value	Pr(>|z|)
(Intercept)	-0.8056252	0.1856012	-4.3406254	0.0000142
P1Arace_13	-0.9861343	0.7859904	-1.2546391	0.2096098
P1Arace_14	0.4001601	0.5587715	0.7161426	0.4739033

P1Arace_2 predicting missingness

	Estimate	Std. Error	z value	Pr(>|z|)
(Intercept)	-0.8611389	0.1862781	-4.6228677	0.0000038
P1Arace_22	-13.7049289	882.7433948	-0.0155254	0.9876130
P1Arace_23	-0.6429385	0.8036234	-0.8000494	0.4236822
P1Arace_24	0.7069882	0.5867055	1.2050138	0.2281980

P1Aeducate_1 predicting missingness

	Estimate	Std. Error	z value	Pr(>|z|)
(Intercept)	14.56607	882.7434	0.0165009	0.9868348
P1Aeducate_12	-14.34292	882.7436	-0.0162481	0.9870364
P1Aeducate_13	-15.00139	882.7435	-0.0169940	0.9864414
P1Aeducate_14	-15.81883	882.7437	-0.0179201	0.9857026
P1Aeducate_15	-15.68121	882.7434	-0.0177642	0.9858270
P1Aeducate_16	-15.45989	882.7435	-0.0175135	0.9860270
P1Aeducate_17	-15.25921	882.7437	-0.0172861	0.9862084

P1Aeducate_2 predicting missingness

	Estimate	Std. Error	z value	Pr(>|z|)
(Intercept)	-0.4054651	0.9128709	-0.4441648	0.6569235
P1Aeducate_23	0.5996211	0.9816239	0.6108461	0.5413015
P1Aeducate_24	-1.9924297	1.3868427	-1.4366660	0.1508129
P1Aeducate_25	-0.5203044	0.9485885	-0.5485037	0.5833461
P1Aeducate_26	-0.8266786	1.0088889	-0.8193950	0.4125611
P1Aeducate_27	-0.8938179	1.1214167	-0.7970435	0.4254258

P1Aincome_1 predicting missingness

	Estimate	Std. Error	z value	Pr(>|z|)
(Intercept)	-0.8109302	0.4249181	-1.9084388	0.0563345
P1Aincome_12	0.8754687	0.5565268	1.5730936	0.1156971
P1Aincome_13	-0.1923719	0.5520848	-0.3484463	0.7275051
P1Aincome_14	-0.2388919	0.6110746	-0.3909374	0.6958435
P1Aincome_15	-0.4418328	0.6283636	-0.7031482	0.4819634
P1Aincome_16	0.1177830	1.2963622	0.0908566	0.9276065
P1Aincome_17	-1.4916548	1.1314173	-1.3183949	0.1873715

P1Aincome_2 predicting missingness

	Estimate	Std. Error	z value	Pr(>|z|)
(Intercept)	-0.9808293	0.4787132	-2.0488871	0.0404732
P1Aincome_22	0.7576857	0.6157648	1.2304790	0.2185178
P1Aincome_23	0.4502010	0.5554980	0.8104457	0.4176841
P1Aincome_24	-0.3184537	0.6642946	-0.4793863	0.6316638
P1Aincome_25	-0.4660897	0.7334779	-0.6354517	0.5251339
P1Aincome_26	0.0645385	0.9639323	0.0669534	0.9466188
P1Aincome_27	-1.0986123	1.1636632	-0.9440982	0.3451195

P1Altotalmo_1 predicting missingness

	Estimate	Std. Error	z value	Pr(>|z|)
(Intercept)	-0.8099961	1.0196464	-0.7943893	0.4269688
P1Altotalmo_1	0.0270668	0.0257986	1.0491585	0.2941052

P1Altotalmo_2 predicting missingness

	Estimate	Std. Error	z value	Pr(>|z|)
(Intercept)	-0.5343934	0.8953796	-0.5968344	0.5506179
P1Altotalmo_2	0.0028091	0.0156669	0.1793019	0.8577007

bfi_o_1 predicting missingness

	Estimate	Std. Error	z value	Pr(>|z|)
(Intercept)	-1.6669144	0.8675926	-1.9213102	0.0546926
bfi_o_1	0.2447962	0.2474466	0.9892888	0.3225219

bfi_c_1 predicting missingness

	Estimate	Std. Error	z value	Pr(>|z|)
(Intercept)	1.3322387	1.1062512	1.204282	0.2284805
bfi_c_1	-0.5683683	0.2902269	-1.958358	0.0501880

bfi_e_1 predicting missingness

	Estimate	Std. Error	z value	Pr(>|z|)
(Intercept)	-2.2247335	0.6932902	-3.208950	0.0013322
bfi_e_1	0.4171777	0.1973099	2.114327	0.0344873

bfi_a_1 predicting missingness

	Estimate	Std. Error	z value	Pr(>|z|)
(Intercept)	-3.7472220	1.2260622	-3.056306	0.0022408
bfi_a_1	0.7610768	0.3126017	2.434654	0.0149061

bfi_n_1 predicting missingness

	Estimate	Std. Error	z value	Pr(>|z|)
(Intercept)	-1.0012251	0.6149238	-1.6282101	0.1034803
bfi_n_1	0.0606367	0.2093549	0.2896359	0.7720948

bfi_o_2 predicting missingness

	Estimate	Std. Error	z value	Pr(>|z|)
(Intercept)	-2.3001850	1.042909	-2.205547	0.0274157
bfi_o_2	0.3995451	0.277520	1.439698	0.1499527

bfi_c_2 predicting missingness

	Estimate	Std. Error	z value	Pr(>|z|)
(Intercept)	0.7230642	1.0519357	0.6873654	0.4918525
bfi_c_2	-0.4352266	0.2931718	-1.4845448	0.1376645

bfi_e_2 predicting missingness

	Estimate	Std. Error	z value	Pr(>|z|)
(Intercept)	-1.0385631	0.7702799	-1.3482930	0.1775642
bfi_e_2	0.0612628	0.2207386	0.2775353	0.7813691

bfi_a_2 predicting missingness

	Estimate	Std. Error	z value	Pr(>|z|)
(Intercept)	1.2546324	1.1657782	1.076219	0.2818294
bfi_a_2	-0.5520069	0.3078019	-1.793384	0.0729115

bfi_n_2 predicting missingness

	Estimate	Std. Error	z value	Pr(>|z|)
(Intercept)	-0.0037854	0.5944746	-0.0063676	0.9949195
bfi_n_2	-0.3829615	0.2680635	-1.4286227	0.1531127

das_satis_1 predicting missingness

	Estimate	Std. Error	z value	Pr(>|z|)
(Intercept)	0.7782651	1.6403525	0.4744499	0.6351791
das_satis_1	-0.0373406	0.0379722	-0.9833662	0.3254272

das_satis_2 predicting missingness

	Estimate	Std. Error	z value	Pr(>|z|)
(Intercept)	0.3283081	1.464205	0.2242228	0.8225840
das_satis_2	-0.0272578	0.034300	-0.7946875	0.4267953

das_coh_1 predicting missingness

	Estimate	Std. Error	z value	Pr(>|z|)
(Intercept)	0.8178154	1.2183125	0.671269	0.5020492
das_coh_1	-0.0888283	0.0654061	-1.358103	0.1744310

das_coh_2 predicting missingness

	Estimate	Std. Error	z value	Pr(>|z|)
(Intercept)	-1.0941997	0.9943540	-1.1004127	0.2711524
das_coh_2	0.0144633	0.0536402	0.2696356	0.7874406

ecr_avoid_1 predicting missingness

	Estimate	Std. Error	z value	Pr(>|z|)
(Intercept)	-1.2316112	0.4626930	-2.6618326	0.0077717
ecr_avoid_1	0.1713429	0.1821044	0.9409047	0.3467537

ecr_avoid_2 predicting missingness

	Estimate	Std. Error	z value	Pr(>|z|)
(Intercept)	-0.8434932	0.4955876	-1.7020062	0.0887542
ecr_avoid_2	0.0054038	0.1916387	0.0281981	0.9775042

ecr_anx_1 predicting missingness

	Estimate	Std. Error	z value	Pr(>|z|)
(Intercept)	-0.9936425	0.562366	-1.7668966	0.0772455
ecr_anx_1	0.0494199	0.161931	0.3051911	0.7602206

ecr_anx_2 predicting missingness

	Estimate	Std. Error	z value	Pr(>|z|)
(Intercept)	-1.0129800	0.5436546	-1.8632787	0.0624231
ecr_anx_2	0.0671484	0.1894146	0.3545049	0.7229606

ss_self_1 predicting missingness

	Estimate	Std. Error	z value	Pr(>|z|)
(Intercept)	1.4159221	1.6634342	0.8512042	0.3946559
ss_self_1	-0.3557075	0.2630084	-1.3524567	0.1762293

ss_self_2 predicting missingness

	Estimate	Std. Error	z value	Pr(>|z|)
(Intercept)	-1.1729892	1.6617424	-0.7058791	0.4802633
ss_self_2	0.0549257	0.2648289	0.2074008	0.8356968

sp_self_1 predicting missingness

	Estimate	Std. Error	z value	Pr(>|z|)
(Intercept)	-0.7780703	0.8221997	-0.9463277	0.3439815
sp_self_1	-0.0634084	0.9766955	-0.0649213	0.9482366

sp_self_2 predicting missingness

	Estimate	Std. Error	z value	Pr(>|z|)
(Intercept)	-0.8498744	0.8314981	-1.0221003	0.3067334
sp_self_2	0.0238449	0.9943561	0.0239802	0.9808684

ks_prox_self_1 predicting missingness

	Estimate	Std. Error	z value	Pr(>|z|)
(Intercept)	0.7118876	1.6393682	0.4342451	0.6641105
ks_prox_self_1	-0.2362974	0.2504811	-0.9433740	0.3454896

ks_prox_self_2 predicting missingness

	Estimate	Std. Error	z value	Pr(>|z|)
(Intercept)	0.0162234	1.2138645	0.0133651	0.9893365
ks_prox_self_2	-0.1431524	0.1992118	-0.7185942	0.4723910

ks_sens_self_1 predicting missingness

	Estimate	Std. Error	z value	Pr(>|z|)
(Intercept)	-0.0980587	0.8701092	-0.1126970	0.9102708
ks_sens_self_1	-0.1382830	0.1620521	-0.8533245	0.3934794

ks_sens_self_2 predicting missingness

	Estimate	Std. Error	z value	Pr(>|z|)
(Intercept)	-0.7790323	0.8523120	-0.9140225	0.3607050
ks_sens_self_2	-0.0139314	0.1637409	-0.0850820	0.9321962

ks_coop_self_1 predicting missingness

	Estimate	Std. Error	z value	Pr(>|z|)
(Intercept)	-1.137497	0.8316461	-1.3677653	0.1713855
ks_coop_self_1	0.058861	0.1556871	0.3780722	0.7053770

ks_coop_self_2 predicting missingness

	Estimate	Std. Error	z value	Pr(>|z|)
(Intercept)	0.1385322	0.8208173	0.1687735	0.8659748
ks_coop_self_2	-0.1968667	0.1645467	-1.1964185	0.2315333

ks_comp_self_1 predicting missingness

	Estimate	Std. Error	z value	Pr(>|z|)
(Intercept)	-1.2455861	0.6719674	-1.8536405	0.0637906
ks_comp_self_1	0.0915759	0.1426821	0.6418176	0.5209916

ks_comp_self_2 predicting missingness

	Estimate	Std. Error	z value	Pr(>|z|)
(Intercept)	-0.4933757	0.8817872	-0.5595179	0.5758083
ks_comp_self_2	-0.0705304	0.1816323	-0.3883144	0.6977834

con_collab_self_1 predicting missingness

	Estimate	Std. Error	z value	Pr(>|z|)
(Intercept)	-0.5940694	0.7763268	-0.7652311	0.4441339
con_collab_self_1	-0.0461909	0.1484982	-0.3110536	0.7557598

con_collab_self_2 predicting missingness

	Estimate	Std. Error	z value	Pr(>|z|)
(Intercept)	-0.9589302	0.6399068	-1.4985468	0.1339913
con_collab_self_2	0.0269350	0.1291063	0.2086266	0.8347398

con_capit_self_1 predicting missingness

	Estimate	Std. Error	z value	Pr(>|z|)
(Intercept)	-0.6543162	0.3967507	-1.6491870	0.0991093
con_capit_self_1	-0.0957258	0.1970993	-0.4856728	0.6271992

con_capit_self_2 predicting missingness

	Estimate	Std. Error	z value	Pr(>|z|)
(Intercept)	-1.4113703	0.4212961	-3.350067	0.0008079
con_capit_self_2	0.2494446	0.1626608	1.533527	0.1251461

con_stale_self_1 predicting missingness

	Estimate	Std. Error	z value	Pr(>|z|)
(Intercept)	-0.7894114	0.3860791	-2.0446881	0.0408856
con_stale_self_1	-0.0254639	0.2167002	-0.1175074	0.9064580

con_stale_self_2 predicting missingness

	Estimate	Std. Error	z value	Pr(>|z|)
(Intercept)	-1.2150469	0.4121598	-2.947999	0.0031984
con_stale_self_2	0.2643013	0.2556979	1.033647	0.3013013

con_verba_self_1 predicting missingness

	Estimate	Std. Error	z value	Pr(>|z|)
(Intercept)	-0.9040002	0.3872155	-2.3346179	0.0195634
con_verba_self_1	0.0361663	0.1707967	0.2117507	0.8323015

con_verba_self_2 predicting missingness

	Estimate	Std. Error	z value	Pr(>|z|)
(Intercept)	-1.3692105	0.4427271	-3.092674	0.0019836
con_verba_self_2	0.2605414	0.1950176	1.335989	0.1815529

Research Question 1. Evidence of Assortative Mating

H1. Baseline similarity

At baseline, romantic partners are similar in their personality such that their scale scores are significantly and positively correlated

var_list <- c(
  # traits
  "bfi_e", "bfi_a", "bfi_c", "bfi_n", "bfi_o",
  
  # CA
  "ecr_avoid", "ecr_anx", 
  "ss_self", "ss_partner", "sp_self", "sp_partner",
  "ks_prox_self", "ks_prox_partner", "ks_sens_self", "ks_sens_partner",
  "ks_coop_self", "ks_coop_partner", "ks_comp_self", "ks_comp_partner",
  "con_collab_self", "con_collab_partner", "con_capit_self", "con_capit_partner",
  "con_stale_self", "con_stale_partner", "con_verba_self", "con_verba_partner",
  
  # relationship quality - not for hypothesis testing, just for slope later
  "das_satis", "das_coh"
)

prof_traits_list <- data.frame(
  bigfive = c("bfi_e", "bfi_a", "bfi_c", "bfi_n", "bfi_o")
  
)
prof_ca_list <- data.frame(
  conflict = c("con_collab_self", "con_collab_partner", 
               "con_capit_self", "con_capit_partner",
               "con_stale_self", "con_stale_partner", 
               "con_verba_self", "con_verba_partner"),
  care = c("ks_prox_self", "ks_prox_partner", "ks_sens_self", "ks_sens_partner",
           "ks_coop_self", "ks_coop_partner", "ks_comp_self", "ks_comp_partner")
)

# run function for h1
h1_bivar <- h1_function(var_list = var_list, prof_list = NULL, 
                        df = data_ttp, time = 0)
h1_prof_traits <- h1_function(var_list = NULL, prof_list = prof_traits_list,
                              df = data_ttp[which(data_ttp$time == 0),])
h1_prof_ca <- h1_function(var_list = NULL, prof_list = prof_ca_list,
                          df = data_ttp)

# results
h1_bivar$bivariate %>% 
  filter(!grepl("das_", variable)) %>%
  knitr::kable(caption = "Bivariate between-partner correlation") %>% 
  kableExtra::kable_styling() %>%
  scroll_box(height = "300px")

Bivariate between-partner correlation

variable	n	correlation	p_value	LL	UL
bfi_e	168	-0.001	0.987	-0.153	0.150
bfi_a	168	0.124	0.109	-0.028	0.271
bfi_c	168	0.065	0.405	-0.088	0.214
bfi_n	168	0.004	0.961	-0.148	0.155
bfi_o	168	0.159	0.039	0.008	0.303
ecr_avoid	168	0.175	0.023	0.024	0.318
ecr_anx	168	0.195	0.011	0.045	0.336
ss_self	168	0.084	0.278	-0.068	0.233
ss_partner	167	0.294	0.000	0.149	0.427
sp_self	168	0.311	0.000	0.168	0.442
sp_partner	166	0.510	0.000	0.388	0.615
ks_prox_self	167	0.057	0.463	-0.095	0.207
ks_prox_partner	168	0.304	0.000	0.160	0.435
ks_sens_self	167	0.267	0.000	0.120	0.402
ks_sens_partner	168	0.367	0.000	0.228	0.491
ks_coop_self	168	0.073	0.346	-0.079	0.222
ks_coop_partner	168	0.257	0.001	0.109	0.393
ks_comp_self	168	0.043	0.581	-0.109	0.193
ks_comp_partner	168	0.140	0.070	-0.011	0.286
con_collab_self	168	0.246	0.001	0.098	0.383
con_collab_partner	168	0.314	0.000	0.171	0.444
con_capit_self	168	0.219	0.004	0.070	0.358
con_capit_partner	168	0.167	0.031	0.016	0.310
con_stale_self	168	0.206	0.008	0.056	0.346
con_stale_partner	168	0.211	0.006	0.061	0.351
con_verba_self	168	0.421	0.000	0.288	0.538
con_verba_partner	168	0.320	0.000	0.177	0.450

h1_prof_traits$profile %>% 
  knitr::kable(caption = "Proportion of signficant between-partner profile correlations in traits") %>% 
  kableExtra::kable_styling()

Proportion of signficant between-partner profile correlations in traits

time	profile	raw	centered	standardized
0	bigfive	0.14371	0.05357	0.04167

h1_prof_ca$profile %>% 
  knitr::kable(caption = "Proportion of signficant between-partner profile correlations in CAs") %>% 
  kableExtra::kable_styling()

Proportion of signficant between-partner profile correlations in CAs

time	profile	raw	centered	standardized
0	conflict	0.76829	0.21429	0.19048
7	conflict	0.77333	0.27097	0.24516
13	conflict	0.65734	0.25517	0.24138
19	conflict	0.68085	0.27972	0.26573
25	conflict	0.68217	0.28462	0.20769
0	care	0.19162	0.07143	0.08929
7	care	0.13158	0.05161	0.05161
13	care	0.14583	0.06897	0.06207
19	care	0.16901	0.09091	0.0979
25	care	0.11538	0.06154	0.08462

data_ttp <- merge(data_ttp, h1_prof_traits$profile_df, all = TRUE)
data_ttp <- merge(data_ttp, h1_prof_ca$profile_df, all = TRUE)
data_ttp <- merge(data_ttp, h1_prof_ca$profile_df, all = TRUE)

summary(data_ttp %>%
          filter(time == 0) %>%
          select(starts_with("bigfive"))) %>% 
  knitr::kable(caption = "Descriptive summary of trait profile correlations at baseline") %>% 
  kableExtra::kable_styling()

Descriptive summary of trait profile correlations at baseline

	bigfive_raw_r	bigfive_centered_r	bigfive_std_r
	Min. :-0.82422	Min. :-0.98271	Min. :-0.97213
	1st Qu.:-0.03117	1st Qu.:-0.35001	1st Qu.:-0.40538
	Median : 0.45383	Median : 0.14551	Median : 0.13562
	Mean : 0.33639	Mean : 0.05825	Mean : 0.06775
	3rd Qu.: 0.73439	3rd Qu.: 0.47506	3rd Qu.: 0.46267
	Max. : 0.98762	Max. : 0.95708	Max. : 0.95469
	NA’s :1	NA	NA

for(timepoint in sort(unique(data_ttp$time))) {
  summary(data_ttp %>%
            filter(time == timepoint) %>%
            select(starts_with(c("conflict", "care")))) %>% 
    knitr::kable(caption = paste("Descriptive summary of CA profile correlations at time =", timepoint)) %>% 
    kableExtra::kable_styling() %>%
    print()
}

Descriptive summary of CA profile correlations at time = 0

	conflict_raw_r	conflict_centered_r	conflict_std_r	care_raw_r	care_centered_r	care_std_r
	Min. :-0.3715	Min. :-0.8698	Min. :-0.91007	Min. :-0.7586	Min. :-0.86870	Min. :-0.86672
	1st Qu.: 0.7174	1st Qu.:-0.1388	1st Qu.:-0.07413	1st Qu.: 0.1214	1st Qu.:-0.32584	1st Qu.:-0.32255
	Median : 0.8579	Median : 0.2816	Median : 0.25112	Median : 0.4021	Median :-0.05387	Median :-0.07480
	Mean : 0.7926	Mean : 0.2261	Mean : 0.21812	Mean : 0.3468	Mean :-0.01775	Mean :-0.02681
	3rd Qu.: 0.9488	3rd Qu.: 0.5942	3rd Qu.: 0.57206	3rd Qu.: 0.6100	3rd Qu.: 0.29739	3rd Qu.: 0.26636
	Max. : 0.9981	Max. : 0.9562	Max. : 0.95810	Max. : 0.9774	Max. : 0.88782	Max. : 0.83179
	NA’s :4	NA	NA	NA’s :1	NA	NA

Descriptive summary of CA profile correlations at time = 7

	conflict_raw_r	conflict_centered_r	conflict_std_r	care_raw_r	care_centered_r	care_std_r
	Min. :-0.7195	Min. :-0.9467	Min. :-0.8960	Min. :-0.88600	Min. :-0.750310	Min. :-0.83452
	1st Qu.: 0.7168	1st Qu.:-0.2130	1st Qu.:-0.2033	1st Qu.: 0.01715	1st Qu.:-0.298829	1st Qu.:-0.32402
	Median : 0.8816	Median : 0.2673	Median : 0.2726	Median : 0.29824	Median :-0.010240	Median :-0.05429
	Mean : 0.7606	Mean : 0.2086	Mean : 0.2048	Mean : 0.26837	Mean :-0.000843	Mean :-0.02287
	3rd Qu.: 0.9674	3rd Qu.: 0.6400	3rd Qu.: 0.6014	3rd Qu.: 0.53522	3rd Qu.: 0.294779	3rd Qu.: 0.23996
	Max. : 0.9991	Max. : 0.9933	Max. : 0.9929	Max. : 0.97712	Max. : 0.965253	Max. : 0.93501
	NA’s :18	NA’s :13	NA’s :13	NA’s :16	NA’s :13	NA’s :13

Descriptive summary of CA profile correlations at time = 13

	conflict_raw_r	conflict_centered_r	conflict_std_r	care_raw_r	care_centered_r	care_std_r
	Min. :-0.4964	Min. :-0.9398	Min. :-0.9048	Min. :-0.8565	Min. :-0.86758	Min. :-0.87296
	1st Qu.: 0.5967	1st Qu.:-0.1723	1st Qu.:-0.2245	1st Qu.:-0.0306	1st Qu.:-0.26601	1st Qu.:-0.26105
	Median : 0.8481	Median : 0.2580	Median : 0.1842	Median : 0.3246	Median : 0.03522	Median : 0.04153
	Mean : 0.7102	Mean : 0.1885	Mean : 0.1774	Mean : 0.2600	Mean : 0.03433	Mean : 0.02635
	3rd Qu.: 0.9518	3rd Qu.: 0.6133	3rd Qu.: 0.6640	3rd Qu.: 0.6037	3rd Qu.: 0.33630	3rd Qu.: 0.29348
	Max. : 0.9976	Max. : 0.9775	Max. : 0.9839	Max. : 0.8918	Max. : 0.87729	Max. : 0.89499
	NA’s :25	NA’s :23	NA’s :23	NA’s :24	NA’s :23	NA’s :23

Descriptive summary of CA profile correlations at time = 19

	conflict_raw_r	conflict_centered_r	conflict_std_r	care_raw_r	care_centered_r	care_std_r
	Min. :-0.5203	Min. :-0.9263	Min. :-0.9456	Min. :-0.80639	Min. :-0.75583	Min. :-0.74240
	1st Qu.: 0.6611	1st Qu.:-0.4202	1st Qu.:-0.3069	1st Qu.: 0.01665	1st Qu.:-0.28660	1st Qu.:-0.28248
	Median : 0.8634	Median : 0.1702	Median : 0.1392	Median : 0.32715	Median : 0.08338	Median : 0.04280
	Mean : 0.7455	Mean : 0.1321	Mean : 0.1410	Mean : 0.28941	Mean : 0.06214	Mean : 0.04917
	3rd Qu.: 0.9372	3rd Qu.: 0.6366	3rd Qu.: 0.6252	3rd Qu.: 0.59309	3rd Qu.: 0.35195	3rd Qu.: 0.37874
	Max. : 0.9990	Max. : 0.9892	Max. : 0.9929	Max. : 0.96056	Max. : 0.96849	Max. : 0.96433
	NA’s :27	NA’s :25	NA’s :25	NA’s :26	NA’s :25	NA’s :25

Descriptive summary of CA profile correlations at time = 25

	conflict_raw_r	conflict_centered_r	conflict_std_r	care_raw_r	care_centered_r	care_std_r
	Min. :-0.7372	Min. :-0.97269	Min. :-0.94606	Min. :-0.98136	Min. :-0.86805	Min. :-0.88136
	1st Qu.: 0.5677	1st Qu.:-0.44425	1st Qu.:-0.34741	1st Qu.:-0.02962	1st Qu.:-0.37208	1st Qu.:-0.37743
	Median : 0.8610	Median : 0.11522	Median :-0.01662	Median : 0.22648	Median :-0.04885	Median :-0.09057
	Mean : 0.7205	Mean : 0.07341	Mean : 0.06590	Mean : 0.18920	Mean :-0.03193	Mean :-0.04243
	3rd Qu.: 0.9516	3rd Qu.: 0.54579	3rd Qu.: 0.52850	3rd Qu.: 0.48926	3rd Qu.: 0.32956	3rd Qu.: 0.30929
	Max. : 0.9982	Max. : 0.96742	Max. : 0.98293	Max. : 0.89749	Max. : 0.79949	Max. : 0.84064
	NA’s :39	NA’s :38	NA’s :38	NA’s :38	NA’s :38	NA’s :38

H2. Difference in correlations

At baseline, romantic partners are more similar in their characteristic adaptations than in their personality traits.

# run function on simulated data
h2_function(cor_tab = h1_bivar$bivariate) %>% 
  filter(!grepl("das_", V1) & !grepl("das_", V2)) %>%
  arrange(desc(abs(z_stat))) %>%
  knitr::kable(caption = "Comparisons of bivariate correlations of personality traits vs CAs") %>% 
  kableExtra::kable_styling() %>%
  scroll_box(height = "300px")

Comparisons of bivariate correlations of personality traits vs CAs

V1	V2	V1_cor	V2_cor	z_stat	sig
bfi_e	sp_partner	-0.001 [-0.153 - 0.15]	0.51 [0.388 - 0.615]	-5.105	TRUE
bfi_n	sp_partner	0.004 [-0.148 - 0.155]	0.51 [0.388 - 0.615]	-5.059	TRUE
sp_partner	ks_comp_self	0.51 [0.388 - 0.615]	0.043 [-0.109 - 0.193]	4.706	TRUE
sp_partner	ks_prox_self	0.51 [0.388 - 0.615]	0.057 [-0.095 - 0.207]	4.572	TRUE
bfi_c	sp_partner	0.065 [-0.088 - 0.214]	0.51 [0.388 - 0.615]	-4.506	TRUE
sp_partner	ks_coop_self	0.51 [0.388 - 0.615]	0.073 [-0.079 - 0.222]	4.433	TRUE
ss_self	sp_partner	0.084 [-0.068 - 0.233]	0.51 [0.388 - 0.615]	-4.333	TRUE
bfi_e	con_verba_self	-0.001 [-0.153 - 0.15]	0.421 [0.288 - 0.538]	-4.086	TRUE
bfi_n	con_verba_self	0.004 [-0.148 - 0.155]	0.421 [0.288 - 0.538]	-4.041	TRUE
bfi_a	sp_partner	0.124 [-0.028 - 0.271]	0.51 [0.388 - 0.615]	-3.967	TRUE
sp_partner	ks_comp_partner	0.51 [0.388 - 0.615]	0.14 [-0.011 - 0.286]	3.820	TRUE
ks_comp_self	con_verba_self	0.043 [-0.109 - 0.193]	0.421 [0.288 - 0.538]	-3.687	TRUE
bfi_o	sp_partner	0.159 [0.008 - 0.303]	0.51 [0.388 - 0.615]	-3.644	TRUE
sp_partner	con_capit_partner	0.51 [0.388 - 0.615]	0.167 [0.016 - 0.31]	3.569	TRUE
ks_prox_self	con_verba_self	0.057 [-0.095 - 0.207]	0.421 [0.288 - 0.538]	-3.554	TRUE
bfi_e	ks_sens_partner	-0.001 [-0.153 - 0.15]	0.367 [0.228 - 0.491]	-3.506	TRUE
ecr_avoid	sp_partner	0.175 [0.024 - 0.318]	0.51 [0.388 - 0.615]	-3.494	TRUE
bfi_c	con_verba_self	0.065 [-0.088 - 0.214]	0.421 [0.288 - 0.538]	-3.486	TRUE
bfi_n	ks_sens_partner	0.004 [-0.148 - 0.155]	0.367 [0.228 - 0.491]	-3.460	TRUE
ks_coop_self	con_verba_self	0.073 [-0.079 - 0.222]	0.421 [0.288 - 0.538]	-3.413	TRUE
ss_self	con_verba_self	0.084 [-0.068 - 0.233]	0.421 [0.288 - 0.538]	-3.313	TRUE
ecr_anx	sp_partner	0.195 [0.045 - 0.336]	0.51 [0.388 - 0.615]	-3.307	TRUE
sp_partner	con_stale_self	0.51 [0.388 - 0.615]	0.206 [0.056 - 0.346]	3.203	TRUE
sp_partner	con_stale_partner	0.51 [0.388 - 0.615]	0.211 [0.061 - 0.351]	3.156	TRUE
ks_sens_partner	ks_comp_self	0.367 [0.228 - 0.491]	0.043 [-0.109 - 0.193]	3.106	TRUE
sp_partner	con_capit_self	0.51 [0.388 - 0.615]	0.219 [0.07 - 0.358]	3.080	TRUE
bfi_e	con_verba_partner	-0.001 [-0.153 - 0.15]	0.32 [0.177 - 0.45]	-3.021	TRUE
bfi_n	con_verba_partner	0.004 [-0.148 - 0.155]	0.32 [0.177 - 0.45]	-2.976	TRUE
ks_prox_self	ks_sens_partner	0.057 [-0.095 - 0.207]	0.367 [0.228 - 0.491]	-2.974	TRUE
bfi_e	con_collab_partner	-0.001 [-0.153 - 0.15]	0.314 [0.171 - 0.444]	-2.961	TRUE
bfi_a	con_verba_self	0.124 [-0.028 - 0.271]	0.421 [0.288 - 0.538]	-2.945	TRUE
bfi_e	sp_self	-0.001 [-0.153 - 0.15]	0.311 [0.168 - 0.442]	-2.931	TRUE
bfi_n	con_collab_partner	0.004 [-0.148 - 0.155]	0.314 [0.171 - 0.444]	-2.915	TRUE
bfi_c	ks_sens_partner	0.065 [-0.088 - 0.214]	0.367 [0.228 - 0.491]	-2.905	TRUE
bfi_n	sp_self	0.004 [-0.148 - 0.155]	0.311 [0.168 - 0.442]	-2.885	TRUE
bfi_e	ks_prox_partner	-0.001 [-0.153 - 0.15]	0.304 [0.16 - 0.435]	-2.860	TRUE
ks_sens_partner	ks_coop_self	0.367 [0.228 - 0.491]	0.073 [-0.079 - 0.222]	2.832	TRUE
sp_partner	con_collab_self	0.51 [0.388 - 0.615]	0.246 [0.098 - 0.383]	2.821	TRUE
bfi_n	ks_prox_partner	0.004 [-0.148 - 0.155]	0.304 [0.16 - 0.435]	-2.815	TRUE
ks_comp_partner	con_verba_self	0.14 [-0.011 - 0.286]	0.421 [0.288 - 0.538]	-2.797	TRUE
bfi_e	ss_partner	-0.001 [-0.153 - 0.15]	0.294 [0.149 - 0.427]	-2.756	TRUE
ss_self	ks_sens_partner	0.084 [-0.068 - 0.233]	0.367 [0.228 - 0.491]	-2.732	TRUE
sp_partner	ks_coop_partner	0.51 [0.388 - 0.615]	0.257 [0.109 - 0.393]	2.715	TRUE
bfi_n	ss_partner	0.004 [-0.148 - 0.155]	0.294 [0.149 - 0.427]	-2.711	TRUE
ks_comp_self	con_verba_partner	0.043 [-0.109 - 0.193]	0.32 [0.177 - 0.45]	-2.622	TRUE
bfi_o	con_verba_self	0.159 [0.008 - 0.303]	0.421 [0.288 - 0.538]	-2.621	TRUE
sp_partner	ks_sens_self	0.51 [0.388 - 0.615]	0.267 [0.12 - 0.402]	2.614	TRUE
ks_comp_self	con_collab_partner	0.043 [-0.109 - 0.193]	0.314 [0.171 - 0.444]	-2.561	TRUE
con_capit_partner	con_verba_self	0.167 [0.016 - 0.31]	0.421 [0.288 - 0.538]	-2.546	TRUE
sp_self	ks_comp_self	0.311 [0.168 - 0.442]	0.043 [-0.109 - 0.193]	2.531	TRUE
bfi_e	ks_sens_self	-0.001 [-0.153 - 0.15]	0.267 [0.12 - 0.402]	-2.491	TRUE
ks_prox_self	con_verba_partner	0.057 [-0.095 - 0.207]	0.32 [0.177 - 0.45]	-2.490	TRUE
ecr_avoid	con_verba_self	0.175 [0.024 - 0.318]	0.421 [0.288 - 0.538]	-2.471	TRUE
ks_prox_partner	ks_comp_self	0.304 [0.16 - 0.435]	0.043 [-0.109 - 0.193]	2.461	TRUE
bfi_n	ks_sens_self	0.004 [-0.148 - 0.155]	0.267 [0.12 - 0.402]	-2.445	TRUE
ks_prox_self	con_collab_partner	0.057 [-0.095 - 0.207]	0.314 [0.171 - 0.444]	-2.430	TRUE
bfi_c	con_verba_partner	0.065 [-0.088 - 0.214]	0.32 [0.177 - 0.45]	-2.421	TRUE
sp_self	ks_prox_self	0.311 [0.168 - 0.442]	0.057 [-0.095 - 0.207]	2.400	TRUE
bfi_e	ks_coop_partner	-0.001 [-0.153 - 0.15]	0.257 [0.109 - 0.393]	-2.397	TRUE
bfi_a	ks_sens_partner	0.124 [-0.028 - 0.271]	0.367 [0.228 - 0.491]	-2.364	TRUE
bfi_c	con_collab_partner	0.065 [-0.088 - 0.214]	0.314 [0.171 - 0.444]	-2.361	TRUE
ss_partner	ks_comp_self	0.294 [0.149 - 0.427]	0.043 [-0.109 - 0.193]	2.357	TRUE
bfi_n	ks_coop_partner	0.004 [-0.148 - 0.155]	0.257 [0.109 - 0.393]	-2.352	TRUE
ss_partner	sp_partner	0.294 [0.149 - 0.427]	0.51 [0.388 - 0.615]	-2.349	TRUE
ks_coop_self	con_verba_partner	0.073 [-0.079 - 0.222]	0.32 [0.177 - 0.45]	-2.348	TRUE
bfi_c	sp_self	0.065 [-0.088 - 0.214]	0.311 [0.168 - 0.442]	-2.330	TRUE
ks_prox_self	ks_prox_partner	0.057 [-0.095 - 0.207]	0.304 [0.16 - 0.435]	-2.329	TRUE
bfi_e	con_collab_self	-0.001 [-0.153 - 0.15]	0.246 [0.098 - 0.383]	-2.290	TRUE
ks_coop_self	con_collab_partner	0.073 [-0.079 - 0.222]	0.314 [0.171 - 0.444]	-2.288	TRUE
ecr_anx	con_verba_self	0.195 [0.045 - 0.336]	0.421 [0.288 - 0.538]	-2.283	TRUE
bfi_c	ks_prox_partner	0.065 [-0.088 - 0.214]	0.304 [0.16 - 0.435]	-2.260	TRUE
sp_self	ks_coop_self	0.311 [0.168 - 0.442]	0.073 [-0.079 - 0.222]	2.257	TRUE
sp_partner	ks_prox_partner	0.51 [0.388 - 0.615]	0.304 [0.16 - 0.435]	2.253	TRUE
ss_self	con_verba_partner	0.084 [-0.068 - 0.233]	0.32 [0.177 - 0.45]	-2.248	TRUE
bfi_n	con_collab_self	0.004 [-0.148 - 0.155]	0.246 [0.098 - 0.383]	-2.245	TRUE
ss_partner	ks_prox_self	0.294 [0.149 - 0.427]	0.057 [-0.095 - 0.207]	2.227	TRUE
ks_sens_partner	ks_comp_partner	0.367 [0.228 - 0.491]	0.14 [-0.011 - 0.286]	2.216	TRUE
ss_self	con_collab_partner	0.084 [-0.068 - 0.233]	0.314 [0.171 - 0.444]	-2.187	TRUE
ks_prox_partner	ks_coop_self	0.304 [0.16 - 0.435]	0.073 [-0.079 - 0.222]	2.187	TRUE
sp_self	sp_partner	0.311 [0.168 - 0.442]	0.51 [0.388 - 0.615]	-2.183	TRUE
con_stale_self	con_verba_self	0.206 [0.056 - 0.346]	0.421 [0.288 - 0.538]	-2.179	TRUE
bfi_c	ss_partner	0.065 [-0.088 - 0.214]	0.294 [0.149 - 0.427]	-2.157	TRUE
ss_self	sp_self	0.084 [-0.068 - 0.233]	0.311 [0.168 - 0.442]	-2.157	TRUE
sp_partner	con_collab_partner	0.51 [0.388 - 0.615]	0.314 [0.171 - 0.444]	2.153	TRUE
con_stale_partner	con_verba_self	0.211 [0.061 - 0.351]	0.421 [0.288 - 0.538]	-2.132	TRUE
sp_partner	con_verba_partner	0.51 [0.388 - 0.615]	0.32 [0.177 - 0.45]	2.093	TRUE
ks_sens_self	ks_comp_self	0.267 [0.12 - 0.402]	0.043 [-0.109 - 0.193]	2.091	TRUE
ss_self	ks_prox_partner	0.084 [-0.068 - 0.233]	0.304 [0.16 - 0.435]	-2.087	TRUE
ss_partner	ks_coop_self	0.294 [0.149 - 0.427]	0.073 [-0.079 - 0.222]	2.084	TRUE
con_capit_self	con_verba_self	0.219 [0.07 - 0.358]	0.421 [0.288 - 0.538]	-2.055	TRUE
bfi_o	ks_sens_partner	0.159 [0.008 - 0.303]	0.367 [0.228 - 0.491]	-2.040	TRUE
bfi_e	con_capit_self	-0.001 [-0.153 - 0.15]	0.219 [0.07 - 0.358]	-2.031	TRUE
ks_coop_partner	ks_comp_self	0.257 [0.109 - 0.393]	0.043 [-0.109 - 0.193]	1.997	TRUE
bfi_n	con_capit_self	0.004 [-0.148 - 0.155]	0.219 [0.07 - 0.358]	-1.986	TRUE
ss_self	ss_partner	0.084 [-0.068 - 0.233]	0.294 [0.149 - 0.427]	-1.984	TRUE
ks_sens_partner	con_capit_partner	0.367 [0.228 - 0.491]	0.167 [0.016 - 0.31]	1.965	TRUE
ks_prox_self	ks_sens_self	0.057 [-0.095 - 0.207]	0.267 [0.12 - 0.402]	-1.961	TRUE
bfi_e	con_stale_partner	-0.001 [-0.153 - 0.15]	0.211 [0.061 - 0.351]	-1.955	FALSE
bfi_n	con_stale_partner	0.004 [-0.148 - 0.155]	0.211 [0.061 - 0.351]	-1.909	FALSE
bfi_e	con_stale_self	-0.001 [-0.153 - 0.15]	0.206 [0.056 - 0.346]	-1.907	FALSE
bfi_c	ks_sens_self	0.065 [-0.088 - 0.214]	0.267 [0.12 - 0.402]	-1.891	FALSE
ecr_avoid	ks_sens_partner	0.175 [0.024 - 0.318]	0.367 [0.228 - 0.491]	-1.890	FALSE
ks_comp_self	con_collab_self	0.043 [-0.109 - 0.193]	0.246 [0.098 - 0.383]	-1.890	FALSE
bfi_a	con_verba_partner	0.124 [-0.028 - 0.271]	0.32 [0.177 - 0.45]	-1.880	FALSE
ks_prox_self	ks_coop_partner	0.057 [-0.095 - 0.207]	0.257 [0.109 - 0.393]	-1.867	FALSE
bfi_n	con_stale_self	0.004 [-0.148 - 0.155]	0.206 [0.056 - 0.346]	-1.862	FALSE
bfi_a	con_collab_partner	0.124 [-0.028 - 0.271]	0.314 [0.171 - 0.444]	-1.820	FALSE
ks_sens_self	ks_coop_self	0.267 [0.12 - 0.402]	0.073 [-0.079 - 0.222]	1.818	FALSE
bfi_e	ecr_anx	-0.001 [-0.153 - 0.15]	0.195 [0.045 - 0.336]	-1.803	FALSE
bfi_c	ks_coop_partner	0.065 [-0.088 - 0.214]	0.257 [0.109 - 0.393]	-1.797	FALSE
con_collab_self	con_verba_self	0.246 [0.098 - 0.383]	0.421 [0.288 - 0.538]	-1.796	FALSE
bfi_a	sp_self	0.124 [-0.028 - 0.271]	0.311 [0.168 - 0.442]	-1.789	FALSE
ks_prox_self	con_collab_self	0.057 [-0.095 - 0.207]	0.246 [0.098 - 0.383]	-1.760	FALSE
bfi_n	ecr_anx	0.004 [-0.148 - 0.155]	0.195 [0.045 - 0.336]	-1.758	FALSE
ks_comp_partner	con_verba_partner	0.14 [-0.011 - 0.286]	0.32 [0.177 - 0.45]	-1.732	FALSE
ks_coop_self	ks_coop_partner	0.073 [-0.079 - 0.222]	0.257 [0.109 - 0.393]	-1.724	FALSE
bfi_a	ks_prox_partner	0.124 [-0.028 - 0.271]	0.304 [0.16 - 0.435]	-1.719	FALSE
ss_self	ks_sens_self	0.084 [-0.068 - 0.233]	0.267 [0.12 - 0.402]	-1.718	FALSE
ecr_anx	ks_sens_partner	0.195 [0.045 - 0.336]	0.367 [0.228 - 0.491]	-1.702	FALSE
bfi_c	con_collab_self	0.065 [-0.088 - 0.214]	0.246 [0.098 - 0.383]	-1.690	FALSE
ks_coop_partner	con_verba_self	0.257 [0.109 - 0.393]	0.421 [0.288 - 0.538]	-1.690	FALSE
ks_comp_partner	con_collab_partner	0.14 [-0.011 - 0.286]	0.314 [0.171 - 0.444]	-1.672	FALSE
sp_self	ks_comp_partner	0.311 [0.168 - 0.442]	0.14 [-0.011 - 0.286]	1.642	FALSE
ks_comp_self	con_capit_self	0.043 [-0.109 - 0.193]	0.219 [0.07 - 0.358]	-1.631	FALSE
ss_self	ks_coop_partner	0.084 [-0.068 - 0.233]	0.257 [0.109 - 0.393]	-1.623	FALSE
bfi_a	ss_partner	0.124 [-0.028 - 0.271]	0.294 [0.149 - 0.427]	-1.617	FALSE
ks_coop_self	con_collab_self	0.073 [-0.079 - 0.222]	0.246 [0.098 - 0.383]	-1.617	FALSE
bfi_e	ecr_avoid	-0.001 [-0.153 - 0.15]	0.175 [0.024 - 0.318]	-1.615	FALSE
sp_partner	ks_sens_partner	0.51 [0.388 - 0.615]	0.367 [0.228 - 0.491]	1.610	FALSE
ks_sens_partner	con_stale_self	0.367 [0.228 - 0.491]	0.206 [0.056 - 0.346]	1.598	FALSE
ks_sens_self	con_verba_self	0.267 [0.12 - 0.402]	0.421 [0.288 - 0.538]	-1.590	FALSE
ks_prox_partner	ks_comp_partner	0.304 [0.16 - 0.435]	0.14 [-0.011 - 0.286]	1.571	FALSE
bfi_n	ecr_avoid	0.004 [-0.148 - 0.155]	0.175 [0.024 - 0.318]	-1.570	FALSE
bfi_o	con_verba_partner	0.159 [0.008 - 0.303]	0.32 [0.177 - 0.45]	-1.556	FALSE
ks_comp_self	con_stale_partner	0.043 [-0.109 - 0.193]	0.211 [0.061 - 0.351]	-1.555	FALSE
ks_sens_partner	con_stale_partner	0.367 [0.228 - 0.491]	0.211 [0.061 - 0.351]	1.551	FALSE
bfi_e	con_capit_partner	-0.001 [-0.153 - 0.15]	0.167 [0.016 - 0.31]	-1.540	FALSE
ss_self	con_collab_self	0.084 [-0.068 - 0.233]	0.246 [0.098 - 0.383]	-1.516	FALSE
ks_comp_self	con_stale_self	0.043 [-0.109 - 0.193]	0.206 [0.056 - 0.346]	-1.507	FALSE
ks_prox_self	con_capit_self	0.057 [-0.095 - 0.207]	0.219 [0.07 - 0.358]	-1.501	FALSE
bfi_n	con_capit_partner	0.004 [-0.148 - 0.155]	0.167 [0.016 - 0.31]	-1.495	FALSE
bfi_o	con_collab_partner	0.159 [0.008 - 0.303]	0.314 [0.171 - 0.444]	-1.495	FALSE
con_capit_partner	con_verba_partner	0.167 [0.016 - 0.31]	0.32 [0.177 - 0.45]	-1.481	FALSE
ks_sens_partner	con_capit_self	0.367 [0.228 - 0.491]	0.219 [0.07 - 0.358]	1.475	FALSE
ss_partner	ks_comp_partner	0.294 [0.149 - 0.427]	0.14 [-0.011 - 0.286]	1.469	FALSE
bfi_e	bfi_o	-0.001 [-0.153 - 0.15]	0.159 [0.008 - 0.303]	-1.466	FALSE
bfi_o	sp_self	0.159 [0.008 - 0.303]	0.311 [0.168 - 0.442]	-1.465	FALSE
bfi_c	con_capit_self	0.065 [-0.088 - 0.214]	0.219 [0.07 - 0.358]	-1.431	FALSE
ks_prox_self	con_stale_partner	0.057 [-0.095 - 0.207]	0.211 [0.061 - 0.351]	-1.425	FALSE
con_collab_partner	con_capit_partner	0.314 [0.171 - 0.444]	0.167 [0.016 - 0.31]	1.421	FALSE
bfi_n	bfi_o	0.004 [-0.148 - 0.155]	0.159 [0.008 - 0.303]	-1.420	FALSE
ecr_avoid	con_verba_partner	0.175 [0.024 - 0.318]	0.32 [0.177 - 0.45]	-1.406	FALSE
ecr_anx	ks_comp_self	0.195 [0.045 - 0.336]	0.043 [-0.109 - 0.193]	1.403	FALSE
bfi_o	ks_prox_partner	0.159 [0.008 - 0.303]	0.304 [0.16 - 0.435]	-1.395	FALSE
sp_self	con_capit_partner	0.311 [0.168 - 0.442]	0.167 [0.016 - 0.31]	1.390	FALSE
ks_prox_self	con_stale_self	0.057 [-0.095 - 0.207]	0.206 [0.056 - 0.346]	-1.378	FALSE
ks_coop_self	con_capit_self	0.073 [-0.079 - 0.222]	0.219 [0.07 - 0.358]	-1.358	FALSE
bfi_c	con_stale_partner	0.065 [-0.088 - 0.214]	0.211 [0.061 - 0.351]	-1.355	FALSE
bfi_a	ks_sens_self	0.124 [-0.028 - 0.271]	0.267 [0.12 - 0.402]	-1.351	FALSE
ecr_avoid	con_collab_partner	0.175 [0.024 - 0.318]	0.314 [0.171 - 0.444]	-1.346	FALSE
ss_partner	con_verba_self	0.294 [0.149 - 0.427]	0.421 [0.288 - 0.538]	-1.324	FALSE
ks_prox_partner	con_capit_partner	0.304 [0.16 - 0.435]	0.167 [0.016 - 0.31]	1.320	FALSE
ecr_avoid	sp_self	0.175 [0.024 - 0.318]	0.311 [0.168 - 0.442]	-1.316	FALSE
bfi_c	con_stale_self	0.065 [-0.088 - 0.214]	0.206 [0.056 - 0.346]	-1.307	FALSE
bfi_o	ss_partner	0.159 [0.008 - 0.303]	0.294 [0.149 - 0.427]	-1.293	FALSE
bfi_e	ks_comp_partner	-0.001 [-0.153 - 0.15]	0.14 [-0.011 - 0.286]	-1.289	FALSE
ks_coop_self	con_stale_partner	0.073 [-0.079 - 0.222]	0.211 [0.061 - 0.351]	-1.281	FALSE
ecr_anx	ks_prox_self	0.195 [0.045 - 0.336]	0.057 [-0.095 - 0.207]	1.274	FALSE
ss_self	con_capit_self	0.084 [-0.068 - 0.233]	0.219 [0.07 - 0.358]	-1.257	FALSE
bfi_a	ks_coop_partner	0.124 [-0.028 - 0.271]	0.257 [0.109 - 0.393]	-1.256	FALSE
ecr_avoid	ks_prox_partner	0.175 [0.024 - 0.318]	0.304 [0.16 - 0.435]	-1.245	FALSE
bfi_n	ks_comp_partner	0.004 [-0.148 - 0.155]	0.14 [-0.011 - 0.286]	-1.244	FALSE
ks_coop_self	con_stale_self	0.073 [-0.079 - 0.222]	0.206 [0.056 - 0.346]	-1.234	FALSE
ks_prox_partner	con_verba_self	0.304 [0.16 - 0.435]	0.421 [0.288 - 0.538]	-1.226	FALSE
ss_partner	con_capit_partner	0.294 [0.149 - 0.427]	0.167 [0.016 - 0.31]	1.219	FALSE
ecr_anx	con_verba_partner	0.195 [0.045 - 0.336]	0.32 [0.177 - 0.45]	-1.218	FALSE
ecr_avoid	ks_comp_self	0.175 [0.024 - 0.318]	0.043 [-0.109 - 0.193]	1.215	FALSE
ks_sens_partner	con_collab_self	0.367 [0.228 - 0.491]	0.246 [0.098 - 0.383]	1.215	FALSE
ks_sens_self	ks_comp_partner	0.267 [0.12 - 0.402]	0.14 [-0.011 - 0.286]	1.204	FALSE
bfi_c	ecr_anx	0.065 [-0.088 - 0.214]	0.195 [0.045 - 0.336]	-1.203	FALSE
ss_self	con_stale_partner	0.084 [-0.068 - 0.233]	0.211 [0.061 - 0.351]	-1.181	FALSE
ecr_anx	con_collab_partner	0.195 [0.045 - 0.336]	0.314 [0.171 - 0.444]	-1.158	FALSE
sp_self	con_verba_self	0.311 [0.168 - 0.442]	0.421 [0.288 - 0.538]	-1.156	FALSE
bfi_a	con_collab_self	0.124 [-0.028 - 0.271]	0.246 [0.098 - 0.383]	-1.149	FALSE
ecr_avoid	ss_partner	0.175 [0.024 - 0.318]	0.294 [0.149 - 0.427]	-1.144	FALSE
bfi_e	bfi_a	-0.001 [-0.153 - 0.15]	0.124 [-0.028 - 0.271]	-1.141	FALSE
ks_comp_self	con_capit_partner	0.043 [-0.109 - 0.193]	0.167 [0.016 - 0.31]	-1.140	FALSE
ss_self	con_stale_self	0.084 [-0.068 - 0.233]	0.206 [0.056 - 0.346]	-1.133	FALSE
ecr_anx	ks_coop_self	0.195 [0.045 - 0.336]	0.073 [-0.079 - 0.222]	1.130	FALSE
ecr_anx	sp_self	0.195 [0.045 - 0.336]	0.311 [0.168 - 0.442]	-1.127	FALSE
con_collab_partner	con_verba_self	0.314 [0.171 - 0.444]	0.421 [0.288 - 0.538]	-1.126	FALSE
con_stale_self	con_verba_partner	0.206 [0.056 - 0.346]	0.32 [0.177 - 0.45]	-1.114	FALSE
ks_sens_partner	ks_coop_partner	0.367 [0.228 - 0.491]	0.257 [0.109 - 0.393]	1.109	FALSE
ks_coop_partner	ks_comp_partner	0.257 [0.109 - 0.393]	0.14 [-0.011 - 0.286]	1.108	FALSE
bfi_a	bfi_n	0.124 [-0.028 - 0.271]	0.004 [-0.148 - 0.155]	1.096	FALSE
ecr_avoid	ks_prox_self	0.175 [0.024 - 0.318]	0.057 [-0.095 - 0.207]	1.086	FALSE
con_stale_partner	con_verba_partner	0.211 [0.061 - 0.351]	0.32 [0.177 - 0.45]	-1.067	FALSE
bfi_o	ks_comp_self	0.159 [0.008 - 0.303]	0.043 [-0.109 - 0.193]	1.066	FALSE
con_verba_self	con_verba_partner	0.421 [0.288 - 0.538]	0.32 [0.177 - 0.45]	1.065	FALSE
ecr_anx	ks_prox_partner	0.195 [0.045 - 0.336]	0.304 [0.16 - 0.435]	-1.057	FALSE
con_collab_partner	con_stale_self	0.314 [0.171 - 0.444]	0.206 [0.056 - 0.346]	1.053	FALSE
sp_partner	con_verba_self	0.51 [0.388 - 0.615]	0.421 [0.288 - 0.538]	1.031	FALSE
ecr_anx	ss_self	0.195 [0.045 - 0.336]	0.084 [-0.068 - 0.233]	1.029	FALSE
bfi_o	ks_sens_self	0.159 [0.008 - 0.303]	0.267 [0.12 - 0.402]	-1.027	FALSE
sp_self	con_stale_self	0.311 [0.168 - 0.442]	0.206 [0.056 - 0.346]	1.023	FALSE
bfi_c	ecr_avoid	0.065 [-0.088 - 0.214]	0.175 [0.024 - 0.318]	-1.015	FALSE
ks_prox_self	con_capit_partner	0.057 [-0.095 - 0.207]	0.167 [0.016 - 0.31]	-1.011	FALSE
ks_sens_self	ks_sens_partner	0.267 [0.12 - 0.402]	0.367 [0.228 - 0.491]	-1.010	FALSE
con_collab_partner	con_stale_partner	0.314 [0.171 - 0.444]	0.211 [0.061 - 0.351]	1.006	FALSE
ks_comp_partner	con_collab_self	0.14 [-0.011 - 0.286]	0.246 [0.098 - 0.383]	-1.001	FALSE
con_capit_self	con_verba_partner	0.219 [0.07 - 0.358]	0.32 [0.177 - 0.45]	-0.990	FALSE
sp_self	con_stale_partner	0.311 [0.168 - 0.442]	0.211 [0.061 - 0.351]	0.976	FALSE
ecr_anx	ss_partner	0.195 [0.045 - 0.336]	0.294 [0.149 - 0.427]	-0.956	FALSE
ks_prox_partner	con_stale_self	0.304 [0.16 - 0.435]	0.206 [0.056 - 0.346]	0.953	FALSE
ks_sens_self	con_capit_partner	0.267 [0.12 - 0.402]	0.167 [0.016 - 0.31]	0.953	FALSE
ecr_avoid	ks_coop_self	0.175 [0.024 - 0.318]	0.073 [-0.079 - 0.222]	0.942	FALSE
bfi_c	con_capit_partner	0.065 [-0.088 - 0.214]	0.167 [0.016 - 0.31]	-0.940	FALSE
bfi_o	ks_prox_self	0.159 [0.008 - 0.303]	0.057 [-0.095 - 0.207]	0.937	FALSE
bfi_o	ks_coop_partner	0.159 [0.008 - 0.303]	0.257 [0.109 - 0.393]	-0.931	FALSE
con_collab_partner	con_capit_self	0.314 [0.171 - 0.444]	0.219 [0.07 - 0.358]	0.930	FALSE
ks_prox_partner	con_stale_partner	0.304 [0.16 - 0.435]	0.211 [0.061 - 0.351]	0.906	FALSE
sp_self	con_capit_self	0.311 [0.168 - 0.442]	0.219 [0.07 - 0.358]	0.900	FALSE
bfi_a	con_capit_self	0.124 [-0.028 - 0.271]	0.219 [0.07 - 0.358]	-0.890	FALSE
ks_comp_self	ks_comp_partner	0.043 [-0.109 - 0.193]	0.14 [-0.011 - 0.286]	-0.889	FALSE
ecr_avoid	ks_sens_self	0.175 [0.024 - 0.318]	0.267 [0.12 - 0.402]	-0.878	FALSE
ks_coop_self	con_capit_partner	0.073 [-0.079 - 0.222]	0.167 [0.016 - 0.31]	-0.867	FALSE
bfi_c	bfi_o	0.065 [-0.088 - 0.214]	0.159 [0.008 - 0.303]	-0.865	FALSE
ks_coop_partner	con_capit_partner	0.257 [0.109 - 0.393]	0.167 [0.016 - 0.31]	0.857	FALSE
ss_partner	con_stale_self	0.294 [0.149 - 0.427]	0.206 [0.056 - 0.346]	0.852	FALSE
ecr_avoid	ss_self	0.175 [0.024 - 0.318]	0.084 [-0.068 - 0.233]	0.841	FALSE
ks_prox_partner	con_capit_self	0.304 [0.16 - 0.435]	0.219 [0.07 - 0.358]	0.829	FALSE
bfi_o	con_collab_self	0.159 [0.008 - 0.303]	0.246 [0.098 - 0.383]	-0.825	FALSE
bfi_a	con_stale_partner	0.124 [-0.028 - 0.271]	0.211 [0.061 - 0.351]	-0.814	FALSE
ss_partner	con_stale_partner	0.294 [0.149 - 0.427]	0.211 [0.061 - 0.351]	0.805	FALSE
bfi_o	ks_coop_self	0.159 [0.008 - 0.303]	0.073 [-0.079 - 0.222]	0.792	FALSE
ecr_avoid	ks_coop_partner	0.175 [0.024 - 0.318]	0.257 [0.109 - 0.393]	-0.782	FALSE
bfi_e	ss_self	-0.001 [-0.153 - 0.15]	0.084 [-0.068 - 0.233]	-0.774	FALSE
bfi_a	con_stale_self	0.124 [-0.028 - 0.271]	0.206 [0.056 - 0.346]	-0.766	FALSE
ss_self	con_capit_partner	0.084 [-0.068 - 0.233]	0.167 [0.016 - 0.31]	-0.766	FALSE
ks_prox_self	ks_comp_partner	0.057 [-0.095 - 0.207]	0.14 [-0.011 - 0.286]	-0.761	FALSE
con_collab_self	con_capit_partner	0.246 [0.098 - 0.383]	0.167 [0.016 - 0.31]	0.750	FALSE
ss_partner	ks_sens_partner	0.294 [0.149 - 0.427]	0.367 [0.228 - 0.491]	-0.744	FALSE
ks_comp_partner	con_capit_self	0.14 [-0.011 - 0.286]	0.219 [0.07 - 0.358]	-0.742	FALSE
bfi_a	ks_comp_self	0.124 [-0.028 - 0.271]	0.043 [-0.109 - 0.193]	0.741	FALSE
con_collab_self	con_verba_partner	0.246 [0.098 - 0.383]	0.32 [0.177 - 0.45]	-0.731	FALSE
ss_partner	con_capit_self	0.294 [0.149 - 0.427]	0.219 [0.07 - 0.358]	0.729	FALSE
bfi_n	ss_self	0.004 [-0.148 - 0.155]	0.084 [-0.068 - 0.233]	-0.728	FALSE
bfi_o	ss_self	0.159 [0.008 - 0.303]	0.084 [-0.068 - 0.233]	0.692	FALSE
ecr_anx	ks_sens_self	0.195 [0.045 - 0.336]	0.267 [0.12 - 0.402]	-0.690	FALSE
bfi_c	ks_comp_partner	0.065 [-0.088 - 0.214]	0.14 [-0.011 - 0.286]	-0.689	FALSE
ecr_avoid	con_collab_self	0.175 [0.024 - 0.318]	0.246 [0.098 - 0.383]	-0.675	FALSE
bfi_e	ks_coop_self	-0.001 [-0.153 - 0.15]	0.073 [-0.079 - 0.222]	-0.673	FALSE
con_collab_self	con_collab_partner	0.246 [0.098 - 0.383]	0.314 [0.171 - 0.444]	-0.671	FALSE
ks_comp_partner	con_stale_partner	0.14 [-0.011 - 0.286]	0.211 [0.061 - 0.351]	-0.666	FALSE
bfi_a	ecr_anx	0.124 [-0.028 - 0.271]	0.195 [0.045 - 0.336]	-0.662	FALSE
ks_prox_partner	ks_sens_partner	0.304 [0.16 - 0.435]	0.367 [0.228 - 0.491]	-0.645	FALSE
sp_self	con_collab_self	0.311 [0.168 - 0.442]	0.246 [0.098 - 0.383]	0.640	FALSE
bfi_n	ks_coop_self	0.004 [-0.148 - 0.155]	0.073 [-0.079 - 0.222]	-0.628	FALSE
ks_coop_partner	con_verba_partner	0.257 [0.109 - 0.393]	0.32 [0.177 - 0.45]	-0.624	FALSE
ks_comp_partner	con_stale_self	0.14 [-0.011 - 0.286]	0.206 [0.056 - 0.346]	-0.618	FALSE
ks_coop_self	ks_comp_partner	0.073 [-0.079 - 0.222]	0.14 [-0.011 - 0.286]	-0.616	FALSE
bfi_a	ks_prox_self	0.124 [-0.028 - 0.271]	0.057 [-0.095 - 0.207]	0.613	FALSE
bfi_e	bfi_c	-0.001 [-0.153 - 0.15]	0.065 [-0.088 - 0.214]	-0.600	FALSE
ecr_anx	ks_coop_partner	0.195 [0.045 - 0.336]	0.257 [0.109 - 0.393]	-0.594	FALSE
ks_sens_self	con_stale_self	0.267 [0.12 - 0.402]	0.206 [0.056 - 0.346]	0.586	FALSE
ks_sens_partner	con_verba_self	0.367 [0.228 - 0.491]	0.421 [0.288 - 0.538]	-0.581	FALSE
sp_self	ks_sens_partner	0.311 [0.168 - 0.442]	0.367 [0.228 - 0.491]	-0.575	FALSE
ks_prox_partner	con_collab_self	0.304 [0.16 - 0.435]	0.246 [0.098 - 0.383]	0.570	FALSE
bfi_o	con_capit_self	0.159 [0.008 - 0.303]	0.219 [0.07 - 0.358]	-0.565	FALSE
ks_coop_partner	con_collab_partner	0.257 [0.109 - 0.393]	0.314 [0.171 - 0.444]	-0.564	FALSE
bfi_c	bfi_n	0.065 [-0.088 - 0.214]	0.004 [-0.148 - 0.155]	0.555	FALSE
ks_sens_partner	con_collab_partner	0.367 [0.228 - 0.491]	0.314 [0.171 - 0.444]	0.545	FALSE
bfi_a	bfi_c	0.124 [-0.028 - 0.271]	0.065 [-0.088 - 0.214]	0.541	FALSE
ks_sens_self	con_stale_partner	0.267 [0.12 - 0.402]	0.211 [0.061 - 0.351]	0.539	FALSE
sp_self	ks_coop_partner	0.311 [0.168 - 0.442]	0.257 [0.109 - 0.393]	0.534	FALSE
bfi_e	ks_prox_self	-0.001 [-0.153 - 0.15]	0.057 [-0.095 - 0.207]	-0.527	FALSE
ks_sens_self	con_verba_partner	0.267 [0.12 - 0.402]	0.32 [0.177 - 0.45]	-0.526	FALSE
ss_self	ks_comp_partner	0.084 [-0.068 - 0.233]	0.14 [-0.011 - 0.286]	-0.515	FALSE
ecr_anx	ks_comp_partner	0.195 [0.045 - 0.336]	0.14 [-0.011 - 0.286]	0.514	FALSE
con_capit_self	con_capit_partner	0.219 [0.07 - 0.358]	0.167 [0.016 - 0.31]	0.491	FALSE
ks_coop_partner	con_stale_self	0.257 [0.109 - 0.393]	0.206 [0.056 - 0.346]	0.490	FALSE
bfi_o	con_stale_partner	0.159 [0.008 - 0.303]	0.211 [0.061 - 0.351]	-0.489	FALSE
ecr_anx	con_collab_self	0.195 [0.045 - 0.336]	0.246 [0.098 - 0.383]	-0.487	FALSE
ks_sens_partner	con_verba_partner	0.367 [0.228 - 0.491]	0.32 [0.177 - 0.45]	0.484	FALSE
bfi_n	ks_prox_self	0.004 [-0.148 - 0.155]	0.057 [-0.095 - 0.207]	-0.481	FALSE
bfi_a	ecr_avoid	0.124 [-0.028 - 0.271]	0.175 [0.024 - 0.318]	-0.474	FALSE
ss_partner	con_collab_self	0.294 [0.149 - 0.427]	0.246 [0.098 - 0.383]	0.470	FALSE
bfi_a	ks_coop_self	0.124 [-0.028 - 0.271]	0.073 [-0.079 - 0.222]	0.468	FALSE
ks_sens_self	con_collab_partner	0.267 [0.12 - 0.402]	0.314 [0.171 - 0.444]	-0.466	FALSE
ks_prox_partner	ks_coop_partner	0.304 [0.16 - 0.435]	0.257 [0.109 - 0.393]	0.463	FALSE
ks_sens_self	con_capit_self	0.267 [0.12 - 0.402]	0.219 [0.07 - 0.358]	0.463	FALSE
bfi_o	con_stale_self	0.159 [0.008 - 0.303]	0.206 [0.056 - 0.346]	-0.442	FALSE
ks_coop_partner	con_stale_partner	0.257 [0.109 - 0.393]	0.211 [0.061 - 0.351]	0.442	FALSE
sp_self	ks_sens_self	0.311 [0.168 - 0.442]	0.267 [0.12 - 0.402]	0.436	FALSE
ecr_avoid	con_capit_self	0.175 [0.024 - 0.318]	0.219 [0.07 - 0.358]	-0.416	FALSE
con_capit_partner	con_stale_partner	0.167 [0.016 - 0.31]	0.211 [0.061 - 0.351]	-0.415	FALSE
bfi_e	ks_comp_self	-0.001 [-0.153 - 0.15]	0.043 [-0.109 - 0.193]	-0.400	FALSE
bfi_a	con_capit_partner	0.124 [-0.028 - 0.271]	0.167 [0.016 - 0.31]	-0.399	FALSE
con_collab_self	con_stale_self	0.246 [0.098 - 0.383]	0.206 [0.056 - 0.346]	0.383	FALSE
ss_self	ks_comp_self	0.084 [-0.068 - 0.233]	0.043 [-0.109 - 0.193]	0.374	FALSE
bfi_a	ss_self	0.124 [-0.028 - 0.271]	0.084 [-0.068 - 0.233]	0.367	FALSE
con_capit_partner	con_stale_self	0.167 [0.016 - 0.31]	0.206 [0.056 - 0.346]	-0.367	FALSE
ks_coop_partner	con_capit_self	0.257 [0.109 - 0.393]	0.219 [0.07 - 0.358]	0.366	FALSE
ks_prox_partner	ks_sens_self	0.304 [0.16 - 0.435]	0.267 [0.12 - 0.402]	0.365	FALSE
ss_partner	ks_coop_partner	0.294 [0.149 - 0.427]	0.257 [0.109 - 0.393]	0.363	FALSE
bfi_n	ks_comp_self	0.004 [-0.148 - 0.155]	0.043 [-0.109 - 0.193]	-0.354	FALSE
ecr_avoid	con_stale_partner	0.175 [0.024 - 0.318]	0.211 [0.061 - 0.351]	-0.340	FALSE
bfi_o	ecr_anx	0.159 [0.008 - 0.303]	0.195 [0.045 - 0.336]	-0.338	FALSE
con_collab_self	con_stale_partner	0.246 [0.098 - 0.383]	0.211 [0.061 - 0.351]	0.335	FALSE
ecr_avoid	ks_comp_partner	0.175 [0.024 - 0.318]	0.14 [-0.011 - 0.286]	0.326	FALSE
bfi_a	bfi_o	0.124 [-0.028 - 0.271]	0.159 [0.008 - 0.303]	-0.324	FALSE
ecr_avoid	con_stale_self	0.175 [0.024 - 0.318]	0.206 [0.056 - 0.346]	-0.292	FALSE
ks_coop_self	ks_comp_self	0.073 [-0.079 - 0.222]	0.043 [-0.109 - 0.193]	0.273	FALSE
ss_partner	ks_sens_self	0.294 [0.149 - 0.427]	0.267 [0.12 - 0.402]	0.265	FALSE
ecr_anx	con_capit_partner	0.195 [0.045 - 0.336]	0.167 [0.016 - 0.31]	0.263	FALSE
ss_partner	con_verba_partner	0.294 [0.149 - 0.427]	0.32 [0.177 - 0.45]	-0.260	FALSE
con_collab_self	con_capit_self	0.246 [0.098 - 0.383]	0.219 [0.07 - 0.358]	0.259	FALSE
ks_comp_partner	con_capit_partner	0.14 [-0.011 - 0.286]	0.167 [0.016 - 0.31]	-0.251	FALSE
ss_self	ks_prox_self	0.084 [-0.068 - 0.233]	0.057 [-0.095 - 0.207]	0.246	FALSE
ecr_anx	con_capit_self	0.195 [0.045 - 0.336]	0.219 [0.07 - 0.358]	-0.228	FALSE
ks_sens_self	con_collab_self	0.267 [0.12 - 0.402]	0.246 [0.098 - 0.383]	0.204	FALSE
bfi_c	ks_comp_self	0.065 [-0.088 - 0.214]	0.043 [-0.109 - 0.193]	0.200	FALSE
ss_partner	con_collab_partner	0.294 [0.149 - 0.427]	0.314 [0.171 - 0.444]	-0.200	FALSE
ecr_avoid	ecr_anx	0.175 [0.024 - 0.318]	0.195 [0.045 - 0.336]	-0.188	FALSE
bfi_o	ks_comp_partner	0.159 [0.008 - 0.303]	0.14 [-0.011 - 0.286]	0.177	FALSE
bfi_c	ss_self	0.065 [-0.088 - 0.214]	0.084 [-0.068 - 0.233]	-0.174	FALSE
ss_partner	sp_self	0.294 [0.149 - 0.427]	0.311 [0.168 - 0.442]	-0.170	FALSE
ks_prox_partner	con_verba_partner	0.304 [0.16 - 0.435]	0.32 [0.177 - 0.45]	-0.161	FALSE
ecr_anx	con_stale_partner	0.195 [0.045 - 0.336]	0.211 [0.061 - 0.351]	-0.152	FALSE
bfi_o	ecr_avoid	0.159 [0.008 - 0.303]	0.175 [0.024 - 0.318]	-0.150	FALSE
bfi_a	ks_comp_partner	0.124 [-0.028 - 0.271]	0.14 [-0.011 - 0.286]	-0.148	FALSE
ks_prox_self	ks_coop_self	0.057 [-0.095 - 0.207]	0.073 [-0.079 - 0.222]	-0.146	FALSE
ks_prox_self	ks_comp_self	0.057 [-0.095 - 0.207]	0.043 [-0.109 - 0.193]	0.127	FALSE
con_capit_self	con_stale_self	0.219 [0.07 - 0.358]	0.206 [0.056 - 0.346]	0.124	FALSE
ks_coop_partner	con_collab_self	0.257 [0.109 - 0.393]	0.246 [0.098 - 0.383]	0.107	FALSE
ecr_anx	con_stale_self	0.195 [0.045 - 0.336]	0.206 [0.056 - 0.346]	-0.104	FALSE
ss_self	ks_coop_self	0.084 [-0.068 - 0.233]	0.073 [-0.079 - 0.222]	0.101	FALSE
ss_partner	ks_prox_partner	0.294 [0.149 - 0.427]	0.304 [0.16 - 0.435]	-0.100	FALSE
ks_prox_partner	con_collab_partner	0.304 [0.16 - 0.435]	0.314 [0.171 - 0.444]	-0.100	FALSE
ks_sens_self	ks_coop_partner	0.267 [0.12 - 0.402]	0.257 [0.109 - 0.393]	0.097	FALSE
sp_self	con_verba_partner	0.311 [0.168 - 0.442]	0.32 [0.177 - 0.45]	-0.091	FALSE
con_capit_self	con_stale_partner	0.219 [0.07 - 0.358]	0.211 [0.061 - 0.351]	0.076	FALSE
bfi_o	con_capit_partner	0.159 [0.008 - 0.303]	0.167 [0.016 - 0.31]	-0.075	FALSE
ecr_avoid	con_capit_partner	0.175 [0.024 - 0.318]	0.167 [0.016 - 0.31]	0.075	FALSE
bfi_c	ks_prox_self	0.065 [-0.088 - 0.214]	0.057 [-0.095 - 0.207]	0.073	FALSE
bfi_c	ks_coop_self	0.065 [-0.088 - 0.214]	0.073 [-0.079 - 0.222]	-0.073	FALSE
sp_self	ks_prox_partner	0.311 [0.168 - 0.442]	0.304 [0.16 - 0.435]	0.070	FALSE
con_collab_partner	con_verba_partner	0.314 [0.171 - 0.444]	0.32 [0.177 - 0.45]	-0.061	FALSE
con_stale_self	con_stale_partner	0.206 [0.056 - 0.346]	0.211 [0.061 - 0.351]	-0.047	FALSE
bfi_e	bfi_n	-0.001 [-0.153 - 0.15]	0.004 [-0.148 - 0.155]	-0.045	FALSE
sp_self	con_collab_partner	0.311 [0.168 - 0.442]	0.314 [0.171 - 0.444]	-0.030	FALSE

H3. Longitudinal similarity

Longitudinally, romantic partners show a similar change trajectory in self-reported personality across the first two years of parenthood such that their slopes are significantly and positively correlated.

var_list <- c("ecr_avoid", "ecr_anx",
              "ss_self", "ss_partner", "sp_self", "sp_partner",
              "ks_prox_self", "ks_prox_partner", "ks_sens_self", "ks_sens_partner",
              "ks_coop_self", "ks_coop_partner", "ks_comp_self", "ks_comp_partner",
              "con_collab_self", "con_collab_partner", "con_capit_self", "con_capit_partner",
              "con_stale_self", "con_stale_partner", "con_verba_self", "con_verba_partner",
              "das_satis", "das_coh"
)

# run function
h3_results <- h3_function(var_list = var_list, baseline = 0, df = data_ttp)

# view longitudinal trends
h3_results$slopes_tab %>% 
  filter(!grepl("das_", variable)) %>%
  knitr::kable(caption = "Longitudinal trends in personality variables") %>% 
  kableExtra::kable_styling() %>%
  scroll_box(height = "300px")

Longitudinal trends in personality variables

gender	variable	slope	SE	df	t_value	p_value
female	ecr_avoid	0.002	0.003	147.816	0.733	0.465
male	ecr_avoid	-0.003	0.003	152.09	-1.137	0.257
female	ecr_anx	-0.011	0.003	151.512	-3.973	0
male	ecr_anx	-0.008	0.003	158.013	-2.763	0.006
female	ss_self	-0.005	0.002	156.361	-2.429	0.016
male	ss_self	-0.01	0.003	150.567	-3.092	0.002
female	ss_partner	-0.012	0.003	142.385	-4.347	0
male	ss_partner	-0.012	0.003	140.084	-3.77	0
female	sp_self	-0.004	0.001	150.182	-4.66	0
male	sp_self	-0.005	0.001	136.039	-5.729	0
female	sp_partner	-0.005	0.001	153.373	-5.533	0
male	sp_partner	-0.005	0.001	148.743	-4.837	0
female	ks_prox_self	-0.013	0.003	150.411	-5.149	0
male	ks_prox_self	-0.006	0.003	152.352	-1.85	0.066
female	ks_prox_partner	-0.012	0.003	151.026	-4.062	0
male	ks_prox_partner	-0.017	0.003	144.667	-5.392	0
female	ks_sens_self	-0.006	0.003	155.455	-2.011	0.046
male	ks_sens_self	-0.005	0.004	139.603	-1.409	0.161
female	ks_sens_partner	-0.015	0.004	152.437	-3.748	0
male	ks_sens_partner	-0.008	0.004	146.294	-2.094	0.038
female	ks_coop_self	-0.002	0.003	141.753	-0.774	0.44
male	ks_coop_self	0.002	0.003	145.596	0.762	0.448
female	ks_coop_partner	-0.013	0.003	149.75	-3.796	0
male	ks_coop_partner	-0.009	0.003	144.375	-2.516	0.013
female	ks_comp_self	0.01	0.004	152.134	2.606	0.01
male	ks_comp_self	0.005	0.003	140.066	1.83	0.069
female	ks_comp_partner	-0.004	0.003	147.835	-1.463	0.146
male	ks_comp_partner	0.001	0.003	146.248	0.314	0.754
female	con_collab_self	-0.019	0.004	153.341	-5.121	0
male	con_collab_self	-0.013	0.004	563.059	-3.702	0
female	con_collab_partner	-0.024	0.004	149.083	-5.452	0
male	con_collab_partner	-0.014	0.004	144.709	-3.574	0
female	con_capit_self	-0.001	0.002	155.601	-0.555	0.58
male	con_capit_self	-0.007	0.003	140.254	-2.101	0.037
female	con_capit_partner	-0.001	0.003	147.63	-0.266	0.791
male	con_capit_partner	-0.003	0.003	147.02	-1.098	0.274
female	con_stale_self	0.002	0.002	158.793	0.798	0.426
male	con_stale_self	0.004	0.002	151.971	1.905	0.059
female	con_stale_partner	0.008	0.002	146.031	3.924	0
male	con_stale_partner	0.006	0.003	149.65	1.92	0.057
female	con_verba_self	0.001	0.003	150.22	0.191	0.849
male	con_verba_self	0.001	0.003	131.588	0.445	0.657
female	con_verba_partner	0.007	0.003	150.258	2.502	0.013
male	con_verba_partner	0.006	0.003	138.16	1.62	0.108

# view longitudinal similarity 
h3_results$cor_tab %>% 
  filter(!grepl("das_", variable)) %>%
  knitr::kable(caption = "Bivariate between-partner slope correlations") %>% 
  kableExtra::kable_styling() %>%
  scroll_box(height = "300px")

Bivariate between-partner slope correlations

variable	n	correlation	p_value	LL	UL
ecr_avoid	168	0.007	0.92986	-0.145	0.158
ecr_anx	168	-0.095	0.22072	-0.243	0.057
ss_self	168	0.205	0.00760	0.056	0.346
ss_partner	168	0.399	0.00000	0.263	0.519
sp_self	168	0.456	0.00000	0.327	0.568
sp_partner	168	0.478	0.00000	0.352	0.587
ks_prox_self	168	0.113	0.14558	-0.039	0.260
ks_prox_partner	168	0.329	0.00001	0.187	0.457
ks_sens_self	168	-0.070	0.36625	-0.219	0.082
ks_sens_partner	168	0.203	0.00819	0.054	0.344
ks_coop_self	168	0.057	0.46608	-0.096	0.206
ks_coop_partner	168	0.258	0.00073	0.111	0.394
ks_comp_self	168	0.087	0.26137	-0.065	0.235
ks_comp_partner	168	0.090	0.24457	-0.062	0.238
con_collab_self	168	0.117	0.13170	-0.035	0.264
con_collab_partner	168	0.148	0.05533	-0.003	0.293
con_capit_self	168	0.052	0.50357	-0.100	0.202
con_capit_partner	168	0.253	0.00094	0.106	0.389
con_stale_self	168	0.097	0.21185	-0.055	0.245
con_stale_partner	168	0.427	0.00000	0.295	0.543
con_verba_self	168	0.212	0.00571	0.063	0.352
con_verba_partner	168	0.229	0.00285	0.080	0.368

# store slopes for later analyses in main dataframe
data_ttp <- merge(data_ttp, h3_results$slope_df, all.x = TRUE)

Research Question 2. Benefit of Assortative Mating

H4. Baseline benefit

At baseline, partner similarity in self-reported personality is associated with enhanced relationship quality.

var_list <- c(
  # traits
  "bfi_e", "bfi_a", "bfi_c", "bfi_n", "bfi_o",
  
  # CA
  "ecr_avoid", "ecr_anx", 
  "ss_self", "ss_partner", "sp_self", "sp_partner",
  "ks_prox_self", "ks_prox_partner", "ks_sens_self", "ks_sens_partner",
  "ks_coop_self", "ks_coop_partner", "ks_comp_self", "ks_comp_partner",
  "con_collab_self", "con_collab_partner", "con_capit_self", "con_capit_partner",
  "con_stale_self", "con_stale_partner", "con_verba_self", "con_verba_partner"
)

prof_list <- c("bigfive", "conflict", "care")

quality_list <- c("das_satis", "das_coh")

# run function
h4_results <- h4_function(var_list = var_list, 
                          quality_list = quality_list, 
                          prof_list = prof_list,
                          time = 0,
                          df = data_ttp)

h4_results$interaction_tab %>% 
  arrange(int_pval) %>%
  knitr::kable(
    caption = "Multiple regression results with interaction terms predicting relationship quality"
  ) %>% 
  kableExtra::kable_styling() %>%
  scroll_box(height = "300px")

Multiple regression results with interaction terms predicting relationship quality

quality	personality	gender	actor_est	actor_tval	actor_pval	partner_est	partner_tval	partner_pval	int_est	int_tval	int_pval
das_satis	con_verba_partner	male	-3.657	-4.995	0	-4.051	-4.71	0	1.186	3.693	0
das_satis	ks_sens_partner	female	5.331	4.533	0	4.76	4.008	0	-0.747	-3.372	0.001
das_coh	con_verba_partner	male	-1.75	-3.294	0.001	-2.125	-3.404	0.001	0.734	3.148	0.002
das_satis	ks_sens_partner	male	5.128	3.797	0	4.956	3.706	0	-0.722	-2.865	0.005
das_satis	ss_partner	female	8.064	3.823	0	7.616	3.35	0.001	-1.002	-2.732	0.007
das_satis	sp_partner	male	22.461	4.871	0	14.627	3.714	0	-14.697	-2.681	0.008
das_coh	ks_comp_partner	female	-3.794	-2.513	0.013	-3.922	-2.371	0.019	0.77	2.601	0.01
das_satis	sp_self	male	31.821	4.169	0	21.117	2.721	0.007	-23.595	-2.49	0.014
das_coh	bfi_o	male	-3.522	-1.75	0.082	-5.117	-2.415	0.017	1.368	2.398	0.018
das_satis	bfi_o	male	-6.47	-2.081	0.039	-6.959	-2.126	0.035	1.979	2.246	0.026
das_coh	ks_coop_self	male	-1.858	-1.627	0.106	-1.929	-1.732	0.085	0.471	2.169	0.032
das_coh	ks_prox_self	female	-4.031	-1.558	0.121	-4.857	-1.758	0.081	0.86	2.072	0.04
das_satis	sp_self	female	21.218	2.848	0.005	20.807	2.841	0.005	-18.358	-2.018	0.045
das_satis	ks_sens_self	male	4.619	2.554	0.012	4.286	2.512	0.013	-0.66	-2.021	0.045
das_coh	con_stale_partner	male	-2.471	-2.493	0.014	-3.008	-2.408	0.017	1.298	1.95	0.053
das_coh	con_verba_partner	female	-1.621	-3.224	0.002	-0.938	-2.192	0.03	0.366	1.952	0.053
das_satis	bfi_o	female	-5.612	-1.887	0.061	-4.969	-1.759	0.08	1.537	1.92	0.057
das_satis	ks_comp_self	female	3.955	2.394	0.018	2.994	1.865	0.064	-0.605	-1.818	0.071
das_satis	con_stale_partner	male	-3.998	-3.106	0.002	-6.285	-3.875	0	1.563	1.808	0.072
das_satis	ks_comp_partner	male	-4.242	-1.4	0.163	-5.074	-1.835	0.068	0.968	1.786	0.076
das_satis	ks_coop_partner	female	4.247	2.94	0.004	3.421	2.167	0.032	-0.474	-1.751	0.082
das_coh	ss_self	male	-4.475	-1.208	0.229	-5.485	-1.568	0.119	0.979	1.718	0.088
das_satis	bfi_n	male	-4.637	-2.098	0.037	-3.83	-2.417	0.017	1.204	1.693	0.092
das_coh	bfi_c	male	5.382	2.142	0.034	3.67	1.543	0.125	-1.079	-1.688	0.093
das_coh	con_stale_partner	female	-3.051	-3.103	0.002	-1.424	-1.825	0.07	0.87	1.66	0.099
das_coh	bfi_n	female	-1.698	-1.916	0.057	-1.752	-1.418	0.158	0.63	1.583	0.115
das_coh	ks_comp_self	male	2.209	1.855	0.065	2.507	2.046	0.042	-0.386	-1.563	0.12
das_coh	ks_sens_partner	male	2.267	2.344	0.02	2.015	2.105	0.037	-0.277	-1.535	0.127
das_coh	con_collab_partner	male	-0.258	-0.345	0.73	-0.511	-0.765	0.445	0.232	1.521	0.13
das_coh	ks_prox_partner	male	-1.498	-0.857	0.393	-1.864	-1.131	0.26	0.42	1.511	0.133
das_satis	ks_sens_self	female	3.462	2.272	0.024	3.064	1.897	0.06	-0.435	-1.491	0.138
das_satis	ks_coop_self	male	3.362	1.951	0.053	3.127	1.861	0.065	-0.483	-1.473	0.143
das_satis	ks_prox_partner	female	4.817	2.393	0.018	4.159	1.948	0.053	-0.493	-1.451	0.149
das_satis	con_capit_partner	female	-3.206	-3.199	0.002	-1.393	-1.458	0.147	0.605	1.409	0.161
das_coh	ks_coop_partner	female	-0.564	-0.604	0.546	-0.866	-0.85	0.397	0.24	1.375	0.171
das_satis	con_verba_partner	female	-2.943	-3.848	0	-1.362	-2.093	0.038	0.363	1.271	0.205
das_coh	ks_prox_self	male	-3.309	-0.932	0.353	-3.321	-0.999	0.319	0.668	1.252	0.212
das_coh	ss_self	female	-2.235	-0.768	0.444	-3.253	-1.055	0.293	0.587	1.238	0.217
das_satis	bfi_e	female	-1.841	-1.027	0.306	-1.598	-0.917	0.361	0.629	1.236	0.218
das_satis	sp_partner	female	10.138	2.644	0.009	10.712	2.386	0.018	-6.041	-1.132	0.259
das_satis	con_verba_self	female	-2.644	-3.076	0.002	-0.871	-0.97	0.333	0.386	1.126	0.262
das_satis	bfi_c	male	6.462	1.751	0.082	4.55	1.303	0.194	-1.043	-1.111	0.268
das_coh	sp_self	female	8.148	1.754	0.081	8.549	1.872	0.063	-6.273	-1.106	0.27
das_coh	sp_partner	female	5.09	2.062	0.041	5.359	1.854	0.066	-3.651	-1.063	0.29
das_satis	ecr_avoid	female	-0.299	-0.263	0.793	0.549	0.522	0.602	-0.449	-1.059	0.291
das_satis	ss_self	male	-1.761	-0.337	0.736	-3.434	-0.696	0.487	0.803	1	0.319
das_satis	con_capit_self	female	-1.293	-1.441	0.151	0.195	0.282	0.778	-0.326	-0.985	0.326
das_satis	ks_coop_self	female	2.46	1.641	0.103	2.124	1.381	0.169	-0.287	-0.981	0.328
das_satis	ss_partner	male	4.681	1.756	0.081	4.072	1.645	0.102	-0.414	-0.963	0.337
das_coh	ecr_anx	female	-1.355	-1.958	0.052	-0.458	-0.526	0.6	0.251	0.956	0.34
das_satis	con_collab_self	female	-0.604	-0.549	0.584	-1.245	-0.975	0.331	0.227	0.936	0.351
das_satis	ecr_avoid	male	-0.545	-0.466	0.642	0.394	0.312	0.755	-0.412	-0.875	0.383
das_coh	con_capit_self	female	-0.972	-1.631	0.105	-0.595	-1.3	0.195	0.192	0.871	0.385
das_satis	bfi_a	female	4.983	1.285	0.201	3.259	0.869	0.386	-0.861	-0.868	0.387
das_coh	con_capit_partner	female	-1.09	-1.694	0.092	-0.393	-0.64	0.523	0.239	0.867	0.387
das_coh	con_stale_self	male	-2.353	-2.269	0.025	-1.229	-1.562	0.12	0.439	0.861	0.391
das_satis	ecr_anx	female	-1.845	-1.574	0.117	-1.314	-0.891	0.374	0.377	0.848	0.398
das_coh	ks_sens_self	male	1.757	1.476	0.142	1.649	1.468	0.144	-0.181	-0.84	0.402
das_coh	con_collab_partner	female	0.559	1.077	0.283	-0.118	-0.203	0.839	0.096	0.806	0.421
das_coh	bfi_n	male	-1.593	-1.045	0.297	-0.621	-0.569	0.57	0.388	0.791	0.43
das_coh	ss_partner	female	2.227	1.528	0.128	1.659	1.057	0.292	-0.197	-0.777	0.438
das_coh	con_verba_self	male	-0.822	-1.155	0.25	-0.822	-1.206	0.23	0.202	0.743	0.459
das_satis	con_stale_self	male	-3.226	-2.117	0.036	-2.232	-1.93	0.055	0.547	0.73	0.467
das_satis	ks_prox_partner	male	3.523	1.491	0.138	3.448	1.548	0.124	-0.271	-0.722	0.471
das_satis	ks_coop_partner	male	0.719	0.395	0.693	-0.559	-0.336	0.737	0.216	0.691	0.491
das_coh	ss_partner	male	2.697	1.404	0.162	1.498	0.84	0.402	-0.21	-0.677	0.499
das_satis	ks_comp_partner	female	2.734	1.098	0.274	2.024	0.742	0.459	-0.292	-0.598	0.551
das_coh	bfi_a	female	1.934	0.813	0.417	1.001	0.435	0.664	-0.363	-0.597	0.551
das_coh	ks_coop_self	female	0.149	0.163	0.871	-0.431	-0.458	0.647	0.093	0.52	0.604
das_coh	bfi_c	female	1.443	0.726	0.469	1.46	0.695	0.488	-0.275	-0.514	0.608
das_coh	ecr_avoid	male	-0.521	-0.657	0.512	0.159	0.185	0.853	-0.163	-0.508	0.612
das_coh	ks_sens_partner	female	1.13	1.45	0.149	0.677	0.86	0.391	-0.07	-0.479	0.633
das_satis	ss_self	female	5.078	1.126	0.262	3.821	0.8	0.425	-0.351	-0.477	0.634
das_satis	bfi_n	female	-1.826	-1.269	0.206	-1.835	-0.915	0.362	0.295	0.456	0.649
das_satis	bfi_c	female	-0.455	-0.139	0.89	-0.628	-0.182	0.856	0.399	0.453	0.651
das_coh	bfi_a	male	1.148	0.404	0.687	0.85	0.29	0.773	-0.313	-0.417	0.677
das_satis	con_verba_self	male	-1.392	-1.342	0.181	-1.22	-1.228	0.221	0.165	0.416	0.678
das_coh	con_verba_self	female	-0.726	-1.313	0.191	-0.323	-0.56	0.576	0.091	0.414	0.68
das_satis	con_capit_partner	male	-0.494	-0.456	0.649	-1.153	-1.014	0.312	-0.192	-0.395	0.694
das_satis	ks_prox_self	female	4.418	1.027	0.306	2.594	0.565	0.573	-0.266	-0.385	0.7
das_coh	bfi_e	female	-0.026	-0.024	0.981	-0.126	-0.12	0.904	0.112	0.365	0.716
das_satis	con_stale_self	female	-2.26	-2.304	0.022	-0.584	-0.452	0.652	-0.224	-0.352	0.726
das_coh	con_capit_partner	male	-0.591	-0.798	0.426	-1.083	-1.394	0.165	0.115	0.344	0.731
das_coh	ks_prox_partner	female	1.34	1.037	0.301	1.092	0.797	0.427	-0.071	-0.324	0.747
das_satis	con_collab_self	male	-0.22	-0.155	0.877	-0.142	-0.117	0.907	0.081	0.3	0.764
das_coh	sp_partner	male	7.592	2.134	0.034	0.156	0.051	0.959	-1.23	-0.291	0.771
das_satis	bfi_a	male	1.344	0.316	0.752	1.983	0.451	0.653	-0.325	-0.289	0.773
das_satis	ks_prox_self	male	1.465	0.302	0.763	-0.291	-0.064	0.949	0.21	0.288	0.774
das_satis	con_collab_partner	female	1.085	1.121	0.264	0.534	0.493	0.622	-0.063	-0.284	0.777
das_satis	con_stale_partner	female	-3.015	-2.006	0.046	-0.932	-0.781	0.436	-0.207	-0.258	0.797
das_satis	con_capit_self	male	-1.039	-1.298	0.196	-0.923	-0.886	0.377	-0.099	-0.257	0.798
das_coh	bfi_o	female	1.014	0.569	0.57	0.489	0.289	0.773	-0.101	-0.21	0.834
das_satis	ecr_anx	male	0.377	0.235	0.815	-1.06	-0.829	0.408	-0.099	-0.203	0.839
das_coh	ecr_avoid	female	-0.757	-1.067	0.288	-0.212	-0.323	0.747	0.049	0.184	0.854
das_coh	ks_comp_partner	male	0.147	0.071	0.943	-0.119	-0.063	0.95	0.061	0.167	0.868
das_coh	ks_comp_self	female	0.761	0.758	0.449	0.147	0.151	0.88	-0.032	-0.159	0.874
das_coh	con_collab_self	male	0.612	0.694	0.489	0.255	0.335	0.738	0.026	0.157	0.875
das_coh	sp_self	male	5.168	0.918	0.36	0.979	0.171	0.864	0.982	0.141	0.888
das_coh	ks_coop_partner	male	1.014	0.792	0.43	0.629	0.537	0.592	-0.031	-0.141	0.888
das_coh	con_stale_self	female	-0.963	-1.452	0.148	-0.337	-0.386	0.7	0.059	0.138	0.89
das_coh	bfi_e	male	0.465	0.363	0.717	-0.192	-0.146	0.884	0.051	0.136	0.892
das_satis	ks_comp_self	male	0.653	0.361	0.718	1.161	0.624	0.534	-0.049	-0.132	0.895
das_coh	ecr_anx	male	-0.432	-0.394	0.694	-0.532	-0.611	0.542	0.031	0.093	0.926
das_coh	con_collab_self	female	0.778	1.272	0.205	0.131	0.185	0.854	0.012	0.092	0.927
das_coh	con_capit_self	male	-0.585	-1.056	0.292	-0.477	-0.663	0.508	-0.019	-0.072	0.942
das_satis	bfi_e	male	0.573	0.295	0.768	0.002	0.001	0.999	-0.025	-0.044	0.965
das_coh	ks_sens_self	female	1.183	1.347	0.18	0.126	0.135	0.893	-0.004	-0.024	0.981
das_satis	con_collab_partner	male	0.116	0.098	0.922	1.123	1.059	0.291	0	0	1

h4_results$difference_tab %>% 
  arrange(diff_pval) %>%
  knitr::kable(
    caption = "Simple regression results with difference scores predicting relationship quality"
  ) %>% 
  kableExtra::kable_styling() %>%
  scroll_box(height = "300px")

Simple regression results with difference scores predicting relationship quality

quality	personality	gender	diff_est	diff_tval	diff_pval
das_satis	ss_self	male	-2.892	-4.742	0
das_satis	ss_partner	male	-2.356	-4.456	0
das_satis	sp_partner	female	-11.232	-4.779	0
das_satis	sp_partner	male	-12.232	-4.674	0
das_satis	ks_prox_self	male	-2.776	-6.595	0
das_satis	ks_prox_partner	female	-2.359	-5.676	0
das_satis	ks_prox_partner	male	-2.906	-6.472	0
das_satis	con_stale_self	female	-2.077	-4.758	0
das_satis	con_stale_partner	female	-2.146	-4.448	0
das_satis	con_stale_partner	male	-3.456	-6.952	0
das_satis	con_verba_partner	male	-2.296	-5.293	0
das_coh	ss_self	male	-1.599	-3.857	0
das_coh	ks_prox_self	female	-1.02	-4.159	0
das_coh	ks_prox_self	male	-1.268	-4.233	0
das_coh	ks_prox_partner	male	-1.451	-4.606	0
das_coh	con_stale_partner	male	-1.306	-3.605	0
das_coh	con_verba_partner	female	-0.913	-3.726	0
das_satis	con_stale_self	male	-1.645	-3.297	0.001
das_coh	sp_partner	male	-6.144	-3.434	0.001
das_coh	ks_prox_partner	female	-0.914	-3.463	0.001
das_satis	con_verba_self	female	-1.563	-3.094	0.002
das_coh	con_stale_self	male	-1.018	-3.052	0.003
das_coh	con_stale_partner	female	-0.913	-3.054	0.003
das_satis	con_verba_partner	female	-1.205	-2.914	0.004
das_satis	ks_coop_partner	male	-1.348	-2.865	0.005
das_coh	sp_partner	female	-4.22	-2.869	0.005
das_satis	ks_prox_self	female	-1.163	-2.782	0.006
das_coh	sp_self	male	-4.599	-2.715	0.007
das_coh	con_verba_partner	male	-0.838	-2.743	0.007
das_coh	ecr_anx	female	-0.658	-2.695	0.008
das_coh	ss_self	female	-0.917	-2.649	0.009
das_satis	sp_self	male	-6.482	-2.542	0.012
das_coh	con_stale_self	female	-0.68	-2.472	0.014
das_satis	ss_self	female	-1.389	-2.405	0.017
das_satis	con_capit_self	male	-1.02	-2.412	0.017
das_satis	ecr_anx	male	-1.066	-2.361	0.019
das_coh	ss_partner	male	-0.861	-2.345	0.02
das_satis	ss_partner	female	-1.162	-2.331	0.021
das_coh	sp_self	female	-3.239	-2.328	0.021
das_coh	con_verba_self	male	-0.851	-2.258	0.025
das_satis	sp_self	female	-5.136	-2.218	0.028
das_satis	con_capit_partner	male	-1.177	-2.206	0.029
das_satis	ks_coop_self	male	0.942	2.183	0.03
das_coh	ks_coop_partner	female	-0.516	-1.991	0.048
das_coh	con_capit_self	male	-0.551	-1.944	0.054
das_satis	ks_comp_partner	male	-0.997	-1.93	0.055
das_coh	ks_sens_partner	male	-0.552	-1.911	0.058
das_coh	con_verba_self	female	-0.586	-1.894	0.06
das_satis	con_capit_partner	female	-0.905	-1.868	0.064
das_coh	bfi_n	female	-0.487	-1.8	0.074
das_coh	ss_partner	female	-0.533	-1.762	0.08
das_coh	con_capit_partner	male	-0.616	-1.722	0.087
das_satis	ks_coop_self	female	0.662	1.689	0.093
das_satis	con_collab_self	male	0.611	1.657	0.099
das_coh	ks_coop_partner	male	-0.524	-1.648	0.101
das_coh	bfi_e	female	-0.438	-1.51	0.133
das_coh	ks_sens_partner	female	-0.356	-1.502	0.135
das_satis	con_capit_self	female	-0.568	-1.47	0.143
das_satis	ecr_anx	female	-0.604	-1.466	0.144
das_satis	con_collab_self	female	0.474	1.419	0.158
das_coh	con_capit_self	female	-0.326	-1.403	0.163
das_coh	con_collab_self	female	0.275	1.366	0.174
das_coh	con_collab_partner	male	-0.375	-1.346	0.18
das_coh	ks_coop_self	male	-0.382	-1.316	0.19
das_satis	con_verba_self	male	-0.746	-1.305	0.194
das_coh	con_capit_partner	female	-0.369	-1.258	0.21
das_satis	bfi_n	male	-0.625	-1.248	0.214
das_satis	bfi_n	female	-0.556	-1.23	0.22
das_coh	ks_comp_partner	female	-0.34	-1.202	0.231
das_coh	ks_sens_self	female	-0.311	-1.174	0.242
das_coh	con_collab_partner	female	-0.249	-1.093	0.276
das_satis	bfi_e	female	-0.519	-1.072	0.285
das_coh	bfi_a	male	0.552	1.07	0.286
das_satis	ks_sens_self	male	0.48	0.988	0.325
das_satis	bfi_c	female	-0.622	-0.98	0.329
das_coh	bfi_o	female	0.361	0.967	0.335
das_coh	ecr_avoid	male	-0.328	-0.964	0.336
das_satis	bfi_e	male	-0.5	-0.932	0.353
das_coh	bfi_c	male	0.429	0.917	0.361
das_coh	ks_comp_self	male	0.235	0.877	0.382
das_satis	ks_sens_partner	male	-0.371	-0.846	0.399
das_satis	ks_sens_partner	female	-0.298	-0.751	0.454
das_coh	ks_comp_self	female	-0.161	-0.735	0.463
das_coh	ks_comp_partner	male	0.211	0.608	0.544
das_satis	con_collab_partner	male	0.245	0.584	0.56
das_satis	bfi_a	female	-0.383	-0.546	0.586
das_satis	bfi_o	male	-0.366	-0.532	0.595
das_coh	con_collab_self	male	-0.124	-0.501	0.617
das_satis	ks_sens_self	female	0.215	0.487	0.627
das_satis	con_collab_partner	female	-0.179	-0.473	0.637
das_coh	bfi_c	female	0.177	0.462	0.645
das_coh	bfi_n	male	0.12	0.358	0.721
das_satis	ks_comp_self	male	-0.135	-0.335	0.738
das_satis	bfi_o	female	0.193	0.311	0.756
das_coh	bfi_o	male	-0.135	-0.296	0.768
das_coh	bfi_e	male	-0.103	-0.289	0.773
das_satis	bfi_a	male	0.202	0.26	0.795
das_coh	ks_sens_self	male	0.082	0.252	0.802
das_coh	bfi_a	female	0.105	0.248	0.804
das_satis	ks_coop_partner	female	-0.107	-0.246	0.806
das_satis	ks_comp_self	female	-0.087	-0.239	0.811
das_satis	ecr_avoid	female	0.095	0.206	0.837
das_coh	ks_coop_self	female	0.046	0.194	0.846
das_satis	ks_comp_partner	female	0.087	0.184	0.854
das_satis	bfi_c	male	0.112	0.159	0.874
das_coh	ecr_anx	male	-0.047	-0.153	0.879
das_satis	ecr_avoid	male	-0.047	-0.091	0.927
das_coh	ecr_avoid	female	-0.018	-0.064	0.949

h4_results$profile_tab %>% 
  knitr::kable(
    caption = "Simple regression results with profile correlations predicting relationship quality"
  ) %>% 
  kableExtra::kable_styling()

Simple regression results with profile correlations predicting relationship quality

quality	profile	gender	raw_est	raw_tval	raw_pval	cen_est	cen_tval	cen_pval	std_est	std_tval	std_pval
das_satis	bigfive	female	1.776	4.016	0	0.955	2.019	0.045	0.894	1.838	0.068
das_satis	bigfive	male	1.534	3.24	0.001	0.971	1.851	0.066	0.891	1.652	0.1
das_satis	conflict	female	2.267	5.01	0	0.19	0.357	0.722	0.181	0.325	0.745
das_satis	conflict	male	2.371	4.97	0	0.138	0.234	0.815	0.456	0.744	0.458
das_satis	care	female	0.961	1.451	0.149	-0.663	-0.987	0.325	-0.229	-0.342	0.733
das_satis	care	male	2.274	3.345	0.001	0.447	0.6	0.549	0.584	0.791	0.43
das_coh	bigfive	female	0.457	1.662	0.098	0.275	0.957	0.34	0.176	0.596	0.552
das_coh	bigfive	male	0.046	0.135	0.893	0.331	0.939	0.349	0.297	0.822	0.412
das_coh	conflict	female	1.418	5.268	0	0.266	0.831	0.407	0.393	1.182	0.239
das_coh	conflict	male	1.723	5.219	0	0.736	1.893	0.06	0.704	1.737	0.084
das_coh	care	female	1.015	2.598	0.01	0.357	0.883	0.379	0.522	1.303	0.194
das_coh	care	male	0.54	1.109	0.269	0.093	0.188	0.851	0.358	0.728	0.468

Simple slope analysis for significant interaction effects

# social provision - male satisfaction
nice_slopes(
  data = data_ttp[data_ttp$time == 0,],
  response = "das_satis_2",
  predictor = "sp_self_2",
  moderator = "sp_self_1") %>%
  knitr::kable(
    caption = "Simple slope analysis"
  ) %>% 
  kableExtra::kable_styling()

Simple slope analysis

Dependent Variable	Predictor (+/-1 SD)	df	B	t	p	sr2	CI_lower	CI_upper
das_satis_2	sp_self_2 (LOW-sp_self_1)	164	0.5851125	7.200195	0.0000000	0.2245181	0.1167630	0.3322731
das_satis_2	sp_self_2 (MEAN-sp_self_1)	164	0.4405084	6.206541	0.0000000	0.1668253	0.0701704	0.2634802
das_satis_2	sp_self_2 (HIGH-sp_self_1)	164	0.2959042	2.927366	0.0039044	0.0371122	0.0003711	0.0856220

H5. Baseline benefit with longitudinal predictors

Longitudinally, partner similarity in change trajectories of self-reported personality is associated with enhanced relationship quality at baseline.

var_list <- c(
  "ecr_avoid", "ecr_anx", 
  "ss_self", "ss_partner", "sp_self", "sp_partner",
  "ks_prox_self", "ks_prox_partner", "ks_sens_self", "ks_sens_partner",
  "ks_coop_self", "ks_coop_partner", "ks_comp_self", "ks_comp_partner",
  "con_collab_self", "con_collab_partner", "con_capit_self", "con_capit_partner",
  "con_stale_self", "con_stale_partner", "con_verba_self", "con_verba_partner"
)

quality_list <- c("das_satis", "das_coh")

# run function
h5_results <- h5_function(var_list = var_list, 
                          quality_list = quality_list, 
                          time = 0,
                          df = data_ttp) 
h5_results$interaction_tab %>% 
  arrange(int_pval) %>%
  knitr::kable(
    caption = "Longitudinal predictors: Multiple regression results with interaction terms of predicting relationship quality"
  ) %>% 
  kableExtra::kable_styling() %>%
  scroll_box(height = "300px")

Longitudinal predictors: Multiple regression results with interaction terms of predicting relationship quality

quality	personality_slope	gender	actor_est	actor_tval	actor_pval	partner_est	partner_tval	partner_pval	int_est	int_tval	int_pval
das_satis	ss_partner	female	190.546	5.161	0	94.703	2.919	0.004	4002.085	3.116	0.002
das_satis	con_stale_partner	female	-195.228	-3.555	0	-78.679	-2.927	0.004	4205.746	2.758	0.006
das_coh	con_stale_self	male	20.583	0.526	0.6	101.996	1.787	0.076	-13652.257	-2.756	0.007
das_satis	sp_partner	female	280.573	3.744	0	125.917	2.334	0.021	9478.078	2.664	0.008
das_satis	ss_self	female	90.889	1.818	0.071	71.032	3.224	0.002	4688.694	2.462	0.015
das_satis	ks_prox_partner	female	37.41	1.291	0.198	99.215	3.891	0	1820	2.287	0.023
das_coh	con_stale_self	female	141.993	3.089	0.002	-43.578	-1.382	0.169	-9045.003	-2.268	0.025
das_coh	ks_prox_partner	male	14.459	0.763	0.447	-42.896	-1.992	0.048	-1323.172	-2.237	0.027
das_satis	con_stale_partner	male	-90.488	-3.021	0.003	-163.392	-2.67	0.008	3308.927	1.947	0.053
das_satis	ks_prox_self	female	57.485	2.461	0.015	52.264	2.189	0.03	1989.945	1.92	0.057
das_satis	con_capit_partner	female	-92.915	-1.853	0.066	-28.131	-0.999	0.319	6472.022	1.756	0.081
das_satis	ss_self	male	30.226	1.215	0.226	111.64	1.977	0.05	3768.602	1.752	0.082
das_satis	ecr_avoid	female	-67.487	-2.619	0.01	-9.42	-0.658	0.511	-1688.377	-1.684	0.094
das_satis	ks_comp_partner	female	17.154	0.706	0.481	55.416	1.791	0.075	3189.267	1.619	0.107
das_satis	ks_comp_self	female	-66.65	-2.187	0.03	92.942	1.023	0.308	6589.064	1.601	0.111
das_coh	ks_sens_partner	male	48.006	2.212	0.028	1.91	0.113	0.91	1285.807	1.524	0.129
das_satis	ks_coop_partner	female	12.66	0.614	0.54	62.662	2.229	0.027	1320.036	1.495	0.137
das_coh	con_capit_partner	male	-22.869	-1.085	0.28	7.568	0.201	0.841	-4128.447	-1.495	0.137
das_satis	ks_prox_self	male	21.858	0.812	0.418	35.732	1.356	0.177	1584.649	1.355	0.177
das_satis	ks_sens_partner	female	19.069	0.825	0.411	42.927	1.447	0.15	1561.544	1.355	0.177
das_coh	ecr_anx	female	11.308	0.496	0.621	15.786	0.857	0.393	1431.343	1.352	0.178
das_satis	sp_self	female	93.485	1.139	0.256	187.663	2.648	0.009	6846.801	1.314	0.191
das_coh	ks_prox_partner	female	-14.604	-0.824	0.411	19.492	1.25	0.213	-636.202	-1.307	0.193
das_satis	sp_partner	male	119.472	1.965	0.051	200.409	2.374	0.019	5048.439	1.259	0.21
das_satis	ecr_anx	female	-6.332	-0.167	0.868	28.233	0.922	0.358	1997.203	1.135	0.258
das_satis	ks_comp_partner	male	85.135	2.495	0.014	0.373	0.014	0.989	2433.42	1.121	0.264
das_satis	con_capit_self	male	-3.5	-0.128	0.898	-0.957	-0.009	0.993	8674.893	1.116	0.266
das_coh	ks_coop_partner	female	-12.755	-1.039	0.3	24.821	1.483	0.14	-577.829	-1.099	0.273
das_coh	ks_coop_self	male	-39.236	-1.045	0.298	-17.276	-0.831	0.407	-2987.304	-1.083	0.28
das_coh	con_collab_partner	female	-8.128	-0.433	0.666	-11.587	-0.315	0.753	-1124.528	-1.075	0.284
das_coh	con_collab_self	female	-93.024	-0.82	0.413	131.647	0.584	0.56	-8409.914	-1.005	0.316
das_coh	ecr_anx	male	-1.62	-0.072	0.943	12.42	0.446	0.656	-1282.139	-0.993	0.322
das_coh	ecr_avoid	female	-16.166	-1.033	0.303	-15.403	-1.773	0.078	-587.458	-0.965	0.336
das_satis	con_capit_self	female	53.471	0.564	0.573	-1.066	-0.043	0.966	6641.075	0.944	0.347
das_coh	con_verba_self	male	8.139	0.408	0.683	-8.403	-0.086	0.932	-6234.922	-0.933	0.352
das_satis	ks_coop_self	male	-50.332	-0.888	0.376	12.951	0.413	0.68	-3560.204	-0.855	0.394
das_satis	con_collab_self	male	542.931	1.286	0.2	216.613	1.02	0.309	13355.822	0.852	0.395
das_satis	ks_prox_partner	male	57.979	2.002	0.047	34.126	1.037	0.301	724.124	0.801	0.424
das_coh	con_stale_partner	male	-7.586	-0.365	0.715	-21.276	-0.501	0.617	-935.284	-0.794	0.428
das_coh	con_verba_self	female	29.875	0.373	0.71	-4.333	-0.266	0.79	4300.641	0.787	0.432
das_coh	con_capit_self	female	38.047	0.672	0.503	-18.908	-1.275	0.204	3182.008	0.756	0.451
das_coh	ks_prox_self	female	20.307	1.427	0.155	23.886	1.643	0.102	423.908	0.671	0.503
das_coh	ss_partner	female	35.622	1.503	0.135	48.43	2.326	0.021	549.149	0.666	0.506
das_coh	con_verba_partner	male	-0.986	-0.046	0.964	-13.364	-0.345	0.731	-1378.781	-0.667	0.506
das_satis	ks_comp_self	male	53.257	0.522	0.602	-41.851	-1.223	0.223	3007.67	0.651	0.516
das_coh	ks_comp_partner	female	-17.272	-1.182	0.239	38.096	2.046	0.042	727.274	0.614	0.54
das_coh	con_capit_partner	female	-20.421	-0.672	0.502	-36.756	-2.156	0.033	1370.45	0.614	0.54
das_satis	sp_self	male	221.621	2.852	0.005	53.045	0.589	0.556	3264.182	0.571	0.569
das_satis	ks_sens_self	female	-86.247	-1.249	0.214	20.872	0.559	0.577	2571.408	0.532	0.595
das_coh	ks_coop_partner	male	44.371	2.176	0.031	-22.137	-1.481	0.141	-313.541	-0.49	0.625
das_satis	ks_sens_self	male	-14.371	-0.346	0.73	23.182	0.302	0.763	2581.662	0.481	0.631
das_satis	con_collab_self	female	-77.263	-0.399	0.69	-60.096	-0.156	0.876	-6694.381	-0.469	0.64
das_satis	ss_partner	male	65.05	1.736	0.084	60.233	1.413	0.16	-622.088	-0.419	0.675
das_coh	ss_self	male	13.389	0.799	0.425	24.247	0.638	0.524	607.481	0.42	0.675
das_satis	ecr_avoid	male	2.163	0.134	0.893	-29.558	-1.018	0.31	469.285	0.415	0.678
das_coh	ss_partner	male	42.546	1.655	0.1	12.291	0.42	0.675	-408.86	-0.402	0.688
das_satis	con_stale_self	female	7.304	0.093	0.926	-109.197	-2.034	0.044	2703.526	0.398	0.691
das_coh	ks_sens_self	male	-17.234	-0.623	0.534	-38.73	-0.757	0.45	-1315.388	-0.367	0.714
das_satis	con_verba_self	male	-48.882	-1.656	0.1	-195.592	-1.346	0.18	3542.158	0.358	0.721
das_satis	ks_coop_self	female	-36.932	-1.304	0.194	23.913	0.468	0.641	1329.243	0.354	0.724
das_coh	con_collab_partner	male	103.31	2.341	0.02	9.148	0.406	0.686	443.133	0.353	0.725
das_coh	sp_self	female	32.206	0.649	0.517	81.87	1.91	0.058	799.463	0.254	0.8
das_coh	ks_sens_self	female	-143.263	-3.566	0	2.312	0.106	0.915	-687.904	-0.245	0.807
das_satis	con_collab_partner	male	42.017	0.635	0.526	58.661	1.734	0.085	448.844	0.238	0.812
das_coh	ks_comp_self	female	-25.195	-1.374	0.171	-21.635	-0.396	0.693	-581.098	-0.235	0.815
das_satis	con_capit_partner	male	-58.249	-1.851	0.066	-49.422	-0.882	0.379	870.136	0.211	0.833
das_coh	ss_self	female	24.533	0.799	0.425	21.681	1.603	0.111	226.446	0.194	0.847
das_satis	ks_sens_partner	male	34.338	1.051	0.295	32.394	1.272	0.205	221.459	0.174	0.862
das_satis	con_collab_partner	female	8.245	0.263	0.793	26.077	0.425	0.671	-296.801	-0.17	0.865
das_satis	ks_coop_partner	male	70.057	2.281	0.024	12.533	0.556	0.579	144.192	0.149	0.881
das_coh	ks_comp_self	male	54.27	0.805	0.422	-26.298	-1.163	0.247	-419.006	-0.137	0.891
das_satis	con_verba_partner	male	-28.176	-0.877	0.382	-84.745	-1.472	0.143	-400.816	-0.131	0.896
das_satis	con_verba_self	female	-377.072	-2.931	0.004	-30.787	-1.178	0.241	-1131.841	-0.129	0.897
das_coh	ks_coop_self	female	-35.761	-2.116	0.036	-1.173	-0.038	0.969	278.222	0.124	0.901
das_coh	con_collab_self	male	801.43	3.061	0.003	-8.057	-0.061	0.951	1214.577	0.125	0.901
das_coh	ks_comp_partner	male	32.721	1.431	0.154	-28.293	-1.577	0.117	-177.949	-0.122	0.903
das_satis	con_verba_partner	female	-134.92	-2.619	0.01	-7.133	-0.248	0.804	300.069	0.109	0.913
das_coh	sp_self	male	115.338	2.194	0.03	-12.305	-0.202	0.84	341.321	0.088	0.93
das_satis	ecr_anx	male	8.922	0.264	0.792	-62.362	-1.493	0.137	166.752	0.086	0.932
das_coh	sp_partner	male	65.735	1.591	0.114	26.603	0.464	0.644	234.249	0.086	0.932
das_satis	con_stale_self	male	-103.932	-1.753	0.081	-73.768	-0.854	0.395	500.773	0.067	0.947
das_coh	ecr_avoid	male	3.816	0.354	0.724	3.432	0.177	0.86	-48.309	-0.064	0.949
das_coh	sp_partner	female	43.658	0.945	0.346	55.529	1.669	0.097	-125.058	-0.057	0.955
das_coh	con_stale_partner	female	-21.446	-0.615	0.54	-12.902	-0.756	0.451	-40.984	-0.042	0.966
das_coh	ks_prox_self	male	6.625	0.367	0.714	5.769	0.327	0.744	31.683	0.04	0.968
das_coh	con_capit_self	male	16.028	0.877	0.382	13.665	0.196	0.845	-185.501	-0.036	0.972
das_coh	con_verba_partner	female	18.605	0.588	0.557	-20.074	-1.138	0.257	18.706	0.011	0.991
das_coh	ks_sens_partner	female	0.444	0.032	0.975	22.943	1.288	0.2	-1.934	-0.003	0.998

h5_results$difference_tab %>% 
  arrange(diff_pval) %>%
  knitr::kable(
    caption = "Longitudinal predictors: Simple regression results with difference-slope scores predicting relationship quality"
  ) %>% 
  kableExtra::kable_styling() %>%
  scroll_box(height = "300px")

Longitudinal predictors: Simple regression results with difference-slope scores predicting relationship quality

quality	personality_slope	gender	diff_est	diff_tval	diff_pval
das_satis	con_stale_self	female	-183.329	-3.885	0
das_satis	ks_prox_self	female	-62.592	-3.038	0.003
das_satis	sp_partner	female	-178.011	-2.938	0.004
das_coh	ks_prox_self	female	-34.607	-2.78	0.006
das_satis	sp_self	female	-197.528	-2.559	0.011
das_coh	sp_self	female	-117.436	-2.527	0.012
das_coh	ks_prox_self	male	-35.402	-2.306	0.022
das_coh	ks_sens_partner	male	-41.412	-2.296	0.023
das_satis	ks_prox_partner	female	-54.779	-2.217	0.028
das_satis	ks_prox_self	male	-49.57	-2.146	0.033
das_satis	con_stale_self	male	-110.769	-2.057	0.041
das_satis	con_collab_partner	female	43.347	1.877	0.062
das_satis	ks_sens_partner	male	-50.387	-1.85	0.066
das_coh	sp_self	male	-102.58	-1.786	0.076
das_coh	ss_self	female	-26.345	-1.779	0.077
das_coh	ks_coop_self	male	46.455	1.641	0.103
das_satis	con_stale_partner	male	-60.545	-1.636	0.104
das_coh	ks_coop_self	female	37.571	1.625	0.106
das_coh	con_collab_self	female	-37.71	-1.599	0.112
das_satis	sp_self	male	-128.752	-1.488	0.139
das_coh	con_capit_self	male	-36.056	-1.443	0.151
das_satis	ks_prox_partner	male	-38.951	-1.413	0.16
das_coh	ks_comp_partner	male	30.039	1.336	0.183
das_coh	con_verba_partner	male	32.083	1.32	0.189
das_satis	ks_comp_self	male	42.003	1.304	0.194
das_coh	ecr_anx	male	20.122	1.287	0.2
das_satis	ss_partner	female	-44.008	-1.247	0.214
das_satis	ecr_anx	male	26.828	1.141	0.255
das_coh	con_capit_self	female	23.367	1.142	0.255
das_coh	ss_self	male	-20.721	-1.136	0.257
das_satis	con_capit_partner	male	-50.248	-1.127	0.261
das_satis	con_capit_self	male	-40.07	-1.065	0.289
das_satis	ss_self	female	-26.264	-1.061	0.29
das_satis	con_stale_partner	female	-34.534	-1.027	0.306
das_satis	ks_coop_self	male	42.036	0.983	0.327
das_coh	con_collab_partner	male	16.823	0.981	0.328
das_satis	con_collab_self	female	37.006	0.939	0.349
das_coh	con_collab_partner	female	12.921	0.923	0.358
das_coh	ks_coop_partner	female	13.329	0.877	0.382
das_satis	ks_sens_partner	female	-20.141	-0.812	0.418
das_coh	con_verba_partner	female	15.867	0.796	0.427
das_coh	con_capit_partner	male	23.127	0.778	0.438
das_coh	ss_partner	male	19.596	0.751	0.453
das_satis	ecr_anx	female	15.864	0.745	0.457
das_coh	ecr_avoid	female	7.506	0.738	0.462
das_satis	con_collab_partner	male	-18.09	-0.702	0.484
das_satis	ss_self	male	-19.131	-0.697	0.487
das_satis	ks_sens_self	male	-25.921	-0.671	0.503
das_satis	ecr_avoid	female	11.179	0.661	0.51
das_satis	ks_coop_partner	male	18.301	0.654	0.514
das_satis	con_verba_partner	female	-21.344	-0.644	0.52
das_coh	ks_prox_partner	male	-11.583	-0.628	0.531
das_coh	ks_comp_partner	female	10.42	0.565	0.573
das_coh	con_verba_self	male	15.438	0.556	0.579
das_satis	ks_comp_self	female	15.932	0.545	0.586
das_satis	sp_partner	male	-36.519	-0.532	0.596
das_satis	ks_comp_partner	male	17.804	0.525	0.6
das_satis	con_verba_self	male	-21.628	-0.519	0.604
das_satis	con_capit_partner	female	-20.027	-0.496	0.621
das_coh	ks_comp_self	male	-10.499	-0.487	0.627
das_coh	con_collab_self	male	13.859	0.477	0.634
das_coh	ks_sens_self	female	-9.939	-0.473	0.637
das_satis	con_collab_self	male	-20.576	-0.471	0.638
das_satis	ss_partner	male	-18.421	-0.47	0.639
das_coh	con_verba_self	female	10.108	0.446	0.656
das_satis	con_capit_self	female	13.862	0.406	0.685
das_coh	ks_comp_self	female	-6.966	-0.396	0.693
das_coh	ks_sens_self	male	-9.432	-0.367	0.714
das_coh	sp_partner	female	-13.06	-0.349	0.727
das_coh	con_stale_self	male	-12.555	-0.346	0.73
das_coh	sp_partner	male	-15.524	-0.339	0.735
das_coh	ks_sens_partner	female	-4.775	-0.319	0.75
das_satis	con_verba_self	female	11.7	0.311	0.757
das_satis	ks_coop_partner	female	-7.414	-0.293	0.77
das_satis	ks_coop_self	female	10.816	0.279	0.78
das_coh	con_stale_partner	female	-5.498	-0.271	0.787
das_coh	ecr_anx	female	-3.082	-0.24	0.81
das_coh	con_stale_self	female	-6.989	-0.236	0.814
das_coh	con_stale_partner	male	-5.86	-0.236	0.814
das_satis	con_verba_partner	male	-8.491	-0.231	0.817
das_coh	ks_coop_partner	male	-3.339	-0.179	0.858
das_satis	ecr_avoid	male	-2.589	-0.138	0.89
das_satis	ks_comp_partner	female	2.922	0.095	0.924
das_satis	ks_sens_self	female	-3.035	-0.087	0.931
das_coh	ecr_avoid	male	-0.57	-0.046	0.964
das_coh	ss_partner	female	0.764	0.036	0.971
das_coh	con_capit_partner	female	0.47	0.019	0.985
das_coh	ks_prox_partner	female	-0.147	-0.01	0.992

Simple slope analysis for significant interaction effects

# stalemate - male cohesion
nice_slopes(
  data = data_ttp[data_ttp$time == 0,],
  response = "das_coh_2",
  predictor = "slope_con_stale_self_2",
  moderator = "slope_con_stale_self_1") %>%
  knitr::kable(
    caption = "Simple slope analysis"
  ) %>% 
  kableExtra::kable_styling()

Simple slope analysis

Dependent Variable	Predictor (+/-1 SD)	df	B	t	p	sr2	CI_lower	CI_upper
das_coh_2	slope_con_stale_self_2 (LOW-slope_con_stale_self_1)	164	0.1597784	1.6304329	0.1049291	0.0154820	0	0.0519815
das_coh_2	slope_con_stale_self_2 (MEAN-slope_con_stale_self_1)	164	-0.0090814	-0.1184395	0.9058643	0.0000817	0	0.0027531
das_coh_2	slope_con_stale_self_2 (HIGH-slope_con_stale_self_1)	164	-0.1779413	-1.8102626	0.0720857	0.0190856	0	0.0595374

H6. Longitudinal benefit

Longitudinally, partner similarity in change trajectories of self-reported personality is associated with an increase in relationship quality

var_list <- c(
  "ecr_avoid", "ecr_anx", 
  "ss_self", "ss_partner", "sp_self", "sp_partner",
  "ks_prox_self", "ks_prox_partner", "ks_sens_self", "ks_sens_partner",
  "ks_coop_self", "ks_coop_partner", "ks_comp_self", "ks_comp_partner",
  "con_collab_self", "con_collab_partner", "con_capit_self", "con_capit_partner",
  "con_stale_self", "con_stale_partner", "con_verba_self", "con_verba_partner"
)

quality_list <- c("das_satis", "das_coh")

# run function
h6_results <- h6_function(var_list = var_list, 
                          quality_list = quality_list, 
                          baseline = 0,
                          df = data_ttp) 
h6_results$interaction_tab %>% 
  arrange(int_pval) %>%
  knitr::kable(
    caption = "Longitudinal predictors: Multiple regression results with interaction terms predicting longitudinal relationship quality"
  ) %>% kableExtra::kable_styling() %>%
  scroll_box(height = "300px")

Longitudinal predictors: Multiple regression results with interaction terms predicting longitudinal relationship quality

quality_slope	personality_slope	gender	actor_est	actor_tval	actor_pval	partner_est	partner_tval	partner_pval	int_est	int_tval	int_pval
das_satis	sp_self	female	5.84	2.775	0.006	-0.128	-0.07	0.944	-553.308	-4.141	0
das_satis	sp_self	male	12.586	7.52	0	-1.14	-0.588	0.557	-448.918	-3.648	0
das_satis	sp_partner	female	5.136	2.726	0.007	0.591	0.436	0.664	-420.449	-4.699	0
das_satis	ks_coop_partner	female	1.05	1.748	0.082	0.539	0.659	0.511	-91.408	-3.555	0
das_satis	con_capit_partner	male	-5.232	-6.599	0	-6.173	-4.37	0	-366.024	-3.526	0.001
das_satis	con_collab_partner	male	1.956	1.028	0.306	-1.44	-1.48	0.141	-169.778	-3.133	0.002
das_satis	ks_coop_partner	male	4.221	5.566	0	0.029	0.053	0.958	-68.457	-2.874	0.005
das_satis	ss_self	male	5.086	9.93	0	0.077	0.067	0.947	-124.397	-2.81	0.006
das_satis	ecr_anx	male	-0.505	-0.517	0.606	2.256	1.865	0.064	154.094	2.745	0.007
das_coh	ks_coop_partner	female	0.364	1.238	0.218	0.342	0.854	0.394	-33.205	-2.639	0.009
das_coh	con_collab_partner	male	2.578	2.921	0.004	-0.724	-1.604	0.111	-65.355	-2.6	0.01
das_satis	con_collab_self	male	-15.049	-1.176	0.241	-14.741	-2.289	0.023	-1204.579	-2.536	0.012
das_satis	con_capit_self	female	-10.964	-3.875	0	-0.312	-0.421	0.674	517.028	2.46	0.015
das_coh	ks_coop_partner	male	1.451	3.495	0.001	-0.214	-0.705	0.482	-31.085	-2.384	0.018
das_satis	sp_partner	male	9.003	6.614	0	0.754	0.399	0.691	-211.154	-2.352	0.02
das_coh	con_stale_self	female	0.786	0.697	0.487	-2.879	-3.723	0	-206.827	-2.114	0.036
das_coh	ecr_anx	male	-0.286	-0.592	0.555	1.001	1.671	0.097	56.646	2.037	0.043
das_coh	con_capit_self	female	-1.96	-1.398	0.164	-0.346	-0.944	0.347	210.318	2.02	0.045
das_coh	con_capit_partner	male	-1.582	-3.552	0	-1.736	-2.188	0.03	-111.79	-1.917	0.057
das_satis	ss_self	female	4.87	3.337	0.001	1.067	1.659	0.099	-105.118	-1.891	0.06
das_coh	ecr_anx	female	-0.158	-0.276	0.783	0.264	0.572	0.568	49.108	1.852	0.066
das_coh	con_verba_self	male	-1.682	-3.964	0	-2.882	-1.38	0.17	261.833	1.839	0.068
das_satis	con_stale_self	male	-14.938	-11.039	0	0.526	0.266	0.79	-310.972	-1.817	0.071
das_satis	ss_partner	female	3.037	2.696	0.008	1.172	1.184	0.238	-68.039	-1.736	0.084
das_satis	ks_sens_partner	female	1.883	2.698	0.008	1.264	1.412	0.16	-55.798	-1.603	0.111
das_satis	con_collab_self	female	-7.658	-1.234	0.219	-10.569	-0.857	0.393	-727.791	-1.59	0.114
das_coh	ks_comp_partner	male	1.018	2.009	0.046	0.383	0.964	0.336	-48.01	-1.489	0.138
das_coh	ks_sens_partner	male	0.816	1.773	0.078	0.593	1.651	0.101	-26.31	-1.47	0.143
das_satis	con_verba_self	female	-20.536	-5.066	0	-0.321	-0.39	0.697	368.396	1.333	0.184
das_coh	sp_self	male	4.771	4.639	0	0.289	0.243	0.808	-95.762	-1.266	0.207
das_satis	ecr_avoid	female	-1.737	-2.039	0.043	-0.391	-0.827	0.41	-41.538	-1.253	0.212
das_satis	ks_comp_partner	male	3.173	3.129	0.002	1.961	2.464	0.015	-79.296	-1.229	0.221
das_coh	ecr_avoid	female	-0.569	-1.446	0.15	-0.506	-2.312	0.022	-18.015	-1.176	0.241
das_satis	ks_sens_self	female	7.185	3.39	0.001	1.472	1.285	0.201	-173.71	-1.172	0.243
das_coh	ks_sens_self	male	2.278	4.244	0	-0.631	-0.636	0.526	-80.394	-1.158	0.249
das_satis	ecr_anx	female	0.186	0.152	0.88	-0.384	-0.387	0.699	65.102	1.142	0.255
das_coh	ks_coop_self	female	0.331	0.765	0.445	0.484	0.62	0.536	63.895	1.114	0.267
das_coh	ss_self	female	1.278	1.745	0.083	0.716	2.217	0.028	-30.682	-1.1	0.273
das_coh	con_verba_self	female	-5.412	-2.739	0.007	-0.585	-1.457	0.147	147.579	1.096	0.275
das_coh	con_collab_self	female	-1.498	-0.526	0.599	-3.6	-0.637	0.525	-229.308	-1.092	0.276
das_coh	con_verba_partner	male	-1.911	-4.214	0	-1.532	-1.886	0.061	47.281	1.092	0.277
das_satis	ks_prox_partner	male	4.587	6.475	0	0.56	0.695	0.488	-23.074	-1.044	0.298
das_satis	ks_comp_partner	female	1.65	2.071	0.04	-0.222	-0.219	0.827	59.848	0.926	0.356
das_satis	con_verba_partner	female	-7.367	-4.691	0	-0.137	-0.156	0.876	-76.839	-0.918	0.36
das_satis	ks_sens_partner	male	3.263	3.621	0	1.536	2.186	0.03	-31.96	-0.912	0.363
das_satis	con_capit_self	male	-4.854	-6.648	0	-5.557	-1.993	0.048	180.246	0.87	0.386
das_satis	con_stale_self	female	-7.409	-3.219	0.002	-4.5	-2.85	0.005	-171.813	-0.86	0.391
das_coh	con_stale_partner	female	-1.786	-2.155	0.033	-0.486	-1.197	0.233	-19.553	-0.849	0.397
das_coh	con_capit_self	male	-1.703	-4.445	0	-1.04	-0.711	0.478	89.268	0.821	0.413
das_coh	con_collab_self	male	4.466	0.719	0.473	-1.888	-0.604	0.547	-188.682	-0.818	0.414
das_satis	con_verba_self	male	-5.491	-7.007	0	-10.838	-2.81	0.006	215.06	0.818	0.415
das_satis	con_collab_partner	female	0.695	0.699	0.486	1.443	0.742	0.459	-44.83	-0.809	0.42
das_satis	ks_prox_self	female	3.171	4.437	0	2.137	2.925	0.004	25.614	0.807	0.421
das_satis	ks_prox_self	male	5.301	8.321	0	0.618	0.992	0.323	-21.848	-0.79	0.431
das_coh	ks_prox_self	male	2.389	6.995	0	0.461	1.379	0.17	11.699	0.789	0.431
das_satis	ks_prox_partner	female	1.936	2.212	0.028	1.887	2.448	0.015	-18.404	-0.765	0.445
das_coh	ks_prox_partner	female	0.835	1.978	0.05	0.652	1.754	0.081	-8.702	-0.751	0.454
das_coh	con_verba_partner	female	-2.175	-2.808	0.006	-0.13	-0.301	0.764	-30.693	-0.743	0.458
das_satis	ks_sens_self	male	6.168	5.512	0	2.089	1.009	0.315	94.79	0.655	0.514
das_satis	con_capit_partner	female	-9.226	-6.158	0	-0.695	-0.826	0.41	-70.635	-0.641	0.522
das_coh	ss_partner	male	3.034	5.829	0	-0.119	-0.2	0.841	12.384	0.601	0.549
das_coh	ks_sens_partner	female	0.98	2.913	0.004	0.523	1.213	0.227	-10.003	-0.597	0.552
das_coh	ss_self	male	2.243	7.489	0	0.497	0.731	0.466	-15.292	-0.591	0.555
das_coh	sp_self	female	3.987	3.66	0	1.941	2.063	0.041	-40.177	-0.581	0.562
das_coh	con_capit_partner	female	-2.832	-3.811	0	-0.558	-1.338	0.183	-29.31	-0.537	0.592
das_coh	ks_sens_self	female	1.326	1.27	0.206	0.617	1.093	0.276	-35.643	-0.488	0.626
das_satis	ss_partner	male	7.378	8.013	0	1.525	1.456	0.147	16.994	0.466	0.642
das_coh	ks_prox_self	female	1.028	2.957	0.004	0.825	2.322	0.021	6.033	0.391	0.696
das_coh	ks_comp_self	female	-0.351	-0.739	0.461	0.877	0.619	0.537	24.736	0.386	0.7
das_coh	con_stale_self	male	-5.29	-6.725	0	-0.407	-0.355	0.723	-37.856	-0.38	0.704
das_coh	con_stale_partner	male	-1.718	-3.984	0	-0.181	-0.205	0.838	-8.735	-0.357	0.721
das_coh	ks_comp_partner	female	0.963	2.609	0.01	0.267	0.568	0.571	10.672	0.356	0.722
das_satis	ks_coop_self	female	2.026	2.221	0.028	2.44	1.481	0.141	41.667	0.344	0.731
das_satis	con_verba_partner	male	-5.753	-7.079	0	-3.677	-2.524	0.013	20.846	0.268	0.789
das_coh	ecr_avoid	male	-1.285	-5.802	0	0.112	0.28	0.78	3.902	0.252	0.802
das_coh	ks_comp_self	male	2.488	1.629	0.105	-0.004	-0.008	0.993	-16.743	-0.242	0.809
das_satis	ks_comp_self	male	11.07	3.616	0	0.048	0.047	0.963	-32.127	-0.232	0.817
das_coh	sp_partner	male	3.91	4.821	0	0.719	0.638	0.524	-12.221	-0.229	0.82
das_coh	ks_coop_self	male	3.075	3.794	0	0.472	1.053	0.294	-13.004	-0.219	0.827
das_coh	sp_partner	female	4.138	4.046	0	1.623	2.204	0.029	-10.376	-0.214	0.831
das_satis	ecr_avoid	male	-2.815	-6.222	0	-0.166	-0.204	0.839	-5.205	-0.164	0.87
das_coh	con_collab_partner	female	1.069	2.435	0.016	1.44	1.676	0.096	-2.741	-0.112	0.911
das_satis	ks_coop_self	male	8.257	5.123	0	1.618	1.813	0.072	-8.942	-0.076	0.94
das_coh	ss_partner	female	1.673	2.954	0.004	0.914	1.836	0.068	1.489	0.076	0.94
das_satis	ks_comp_self	female	-0.07	-0.068	0.946	1.801	0.592	0.555	7.697	0.056	0.956
das_satis	con_stale_partner	male	-6.04	-8.603	0	-2.274	-1.585	0.115	1.937	0.049	0.961
das_satis	con_stale_partner	female	-8.768	-5.39	0	-0.591	-0.742	0.459	1.139	0.025	0.98
das_coh	ks_prox_partner	male	2.004	5.238	0	0.314	0.723	0.471	-0.189	-0.016	0.987

h6_results$difference_tab %>% 
  arrange(diff_pval) %>%
  knitr::kable(
    caption = "Longitudinal predictors: Simple regression results with difference scores predicting longitudinal relationship quality"
  ) %>% kableExtra::kable_styling() %>%
  scroll_box(height = "300px")

Longitudinal predictors: Simple regression results with difference scores predicting longitudinal relationship quality

quality_slope	personality_slope	gender	diff_est	diff_tval	diff_pval
das_satis	ecr_anx	male	-3.412	-4.991	0
das_satis	ss_self	male	-5.202	-6.911	0
das_satis	ss_partner	male	-6.56	-5.924	0
das_satis	sp_self	male	-13.18	-5.263	0
das_satis	sp_partner	male	-10.23	-5.159	0
das_satis	ks_prox_partner	male	-4.031	-5.021	0
das_satis	con_stale_self	male	-7.844	-4.961	0
das_satis	con_stale_partner	male	-4.919	-4.494	0
das_satis	con_verba_self	male	-7.027	-5.979	0
das_satis	con_verba_partner	male	-6.583	-6.458	0
das_coh	ecr_anx	male	-1.356	-4.015	0
das_coh	ss_self	male	-1.891	-4.91	0
das_coh	ss_partner	male	-2.386	-4.275	0
das_coh	sp_self	male	-5.518	-4.474	0
das_coh	sp_partner	male	-3.951	-4.015	0
das_coh	ks_prox_self	female	-1.129	-3.622	0
das_coh	ks_prox_partner	male	-1.824	-4.664	0
das_coh	con_stale_partner	male	-1.981	-3.684	0
das_coh	con_verba_partner	male	-2.188	-4.181	0
das_coh	con_verba_self	male	-2.123	-3.519	0.001
das_satis	ks_prox_self	female	-2.116	-3.138	0.002
das_satis	ks_prox_partner	female	-2.538	-3.18	0.002
das_coh	con_stale_self	male	-2.536	-3.197	0.002
das_satis	ss_partner	female	-3.453	-3.052	0.003
das_coh	sp_partner	female	-2.834	-3.064	0.003
das_satis	ks_sens_partner	female	-2.27	-2.851	0.005
das_satis	con_capit_self	male	-3.224	-2.813	0.005
das_coh	con_stale_self	female	-2.066	-2.804	0.006
das_satis	ks_prox_self	male	-1.861	-2.61	0.01
das_satis	sp_partner	female	-4.724	-2.357	0.02
das_coh	con_collab_self	female	-1.395	-2.346	0.02
das_coh	ks_sens_partner	female	-0.857	-2.289	0.023
das_coh	sp_self	female	-2.674	-2.255	0.025
das_satis	con_capit_self	female	-2.396	-2.171	0.031
das_satis	con_verba_partner	female	-2.297	-2.14	0.034
das_coh	ss_self	female	-0.794	-2.118	0.036
das_satis	con_collab_self	female	-2.662	-2.082	0.039
das_satis	ecr_avoid	male	-1.167	-2.03	0.044
das_coh	ks_prox_partner	female	-0.673	-1.771	0.078
das_satis	sp_self	female	-4.498	-1.759	0.08
das_satis	con_collab_partner	female	-1.319	-1.739	0.084
das_coh	ecr_avoid	male	-0.481	-1.729	0.086
das_satis	ks_sens_self	female	-1.941	-1.709	0.089
das_coh	ecr_anx	female	-0.543	-1.68	0.095
das_coh	ks_sens_self	female	-0.886	-1.671	0.097
das_coh	ks_prox_self	male	-0.554	-1.588	0.114
das_satis	ks_sens_partner	male	-1.328	-1.565	0.12
das_coh	con_capit_self	female	-0.763	-1.47	0.144
das_satis	ecr_anx	female	-0.966	-1.39	0.166
das_satis	ks_sens_self	male	-1.653	-1.384	0.168
das_coh	ss_partner	female	-0.745	-1.381	0.169
das_coh	con_verba_partner	female	-0.682	-1.351	0.179
das_satis	con_verba_self	female	-1.631	-1.327	0.186
das_coh	ks_comp_self	male	-0.611	-1.264	0.208
das_coh	ks_coop_partner	male	0.499	1.192	0.235
das_coh	con_collab_partner	male	0.457	1.185	0.238
das_coh	ks_sens_partner	male	-0.484	-1.178	0.241
das_coh	ks_comp_self	female	0.523	1.174	0.242
das_satis	ks_comp_self	female	1.118	1.17	0.243
das_coh	con_stale_partner	female	-0.57	-1.108	0.27
das_coh	ks_coop_self	male	0.671	1.047	0.297
das_coh	con_collab_self	male	-0.679	-1.041	0.3
das_satis	con_capit_partner	male	-1.393	-1.005	0.316
das_coh	con_verba_self	female	-0.577	-1.003	0.317
das_satis	con_collab_self	male	-1.313	-0.97	0.334
das_satis	ss_self	female	-0.737	-0.906	0.366
das_coh	ks_coop_partner	female	-0.309	-0.798	0.426
das_coh	con_capit_partner	female	-0.488	-0.791	0.43
das_satis	ks_comp_partner	female	-0.702	-0.699	0.485
das_satis	ks_coop_partner	female	-0.548	-0.661	0.51
das_satis	ks_coop_self	female	0.792	0.624	0.533
das_satis	con_stale_self	female	-0.836	-0.518	0.605
das_coh	con_capit_partner	male	0.32	0.477	0.634
das_coh	con_capit_self	male	-0.252	-0.446	0.656
das_coh	ks_comp_partner	male	0.226	0.444	0.658
das_coh	ks_coop_self	female	-0.26	-0.439	0.662
das_coh	ks_comp_partner	female	-0.199	-0.425	0.672
das_coh	con_collab_partner	female	-0.15	-0.421	0.675
das_satis	ks_coop_partner	male	0.343	0.395	0.694
das_coh	ecr_avoid	female	-0.066	-0.254	0.8
das_satis	ks_coop_self	male	0.282	0.211	0.833
das_satis	ecr_avoid	female	-0.046	-0.083	0.934
das_satis	ks_comp_self	male	-0.07	-0.07	0.944
das_satis	ks_comp_partner	male	-0.066	-0.063	0.95
das_satis	con_collab_partner	male	0.048	0.06	0.952
das_coh	ks_sens_self	male	0.022	0.037	0.97
das_satis	con_capit_partner	female	-0.039	-0.029	0.977
das_satis	con_stale_partner	female	-0.025	-0.022	0.982

Simple slope analysis for significant interaction effects

# anxiety - male satisfaction
nice_slopes(
  data = data_ttp[data_ttp$time == 0,],
  response = "slope_das_satis_2",
  predictor = "slope_ecr_anx_2",
  moderator = "slope_ecr_anx_1") %>%
  knitr::kable(
    caption = "Simple slope analysis"
  ) %>% 
  kableExtra::kable_styling()

Simple slope analysis

Dependent Variable	Predictor (+/-1 SD)	df	B	t	p	sr2	CI_lower	CI_upper
slope_das_satis_2	slope_ecr_anx_2 (LOW-slope_ecr_anx_1)	164	-0.4552628	-5.2327371	0.0000005	0.1421811	0.0446553	0.2397068
slope_das_satis_2	slope_ecr_anx_2 (MEAN-slope_ecr_anx_1)	164	-0.2665969	-3.5439862	0.0005136	0.0652181	0.0006522	0.1343616
slope_das_satis_2	slope_ecr_anx_2 (HIGH-slope_ecr_anx_1)	164	-0.0779309	-0.6783746	0.4984903	0.0023896	0.0000000	0.0160187

# collaboration - male satisfaction
nice_slopes(
  data = data_ttp[data_ttp$time == 0,],
  response = "slope_das_satis_2",
  predictor = "slope_con_collab_self_2",
  moderator = "slope_con_collab_self_1") %>%
  knitr::kable(
    caption = "Simple slope analysis"
  ) %>% 
  kableExtra::kable_styling()

Simple slope analysis

Dependent Variable	Predictor (+/-1 SD)	df	B	t	p	sr2	CI_lower	CI_upper
slope_das_satis_2	slope_con_collab_self_2 (LOW-slope_con_collab_self_1)	164	0.2315302	2.6903668	0.0078762	0.0411770	0.0004118	0.0992556
slope_das_satis_2	slope_con_collab_self_2 (MEAN-slope_con_collab_self_1)	164	0.0887369	1.1438686	0.2543450	0.0074436	0.0000000	0.0325587
slope_das_satis_2	slope_con_collab_self_2 (HIGH-slope_con_collab_self_1)	164	-0.0540564	-0.5161018	0.6064784	0.0015153	0.0000000	0.0128787

# social support - male satisfaction
nice_slopes(
  data = data_ttp[data_ttp$time == 0,],
  response = "slope_das_satis_2",
  predictor = "slope_ss_self_2",
  moderator = "slope_ss_self_1") %>%
  knitr::kable(
    caption = "Simple slope analysis"
  ) %>% 
  kableExtra::kable_styling()

Simple slope analysis

Dependent Variable	Predictor (+/-1 SD)	df	B	t	p	sr2	CI_lower	CI_upper
slope_das_satis_2	slope_ss_self_2 (LOW-slope_ss_self_1)	164	0.8179713	12.546423	0	0.4096695	0.3003492	0.5189898
slope_das_satis_2	slope_ss_self_2 (MEAN-slope_ss_self_1)	164	0.6895306	13.125161	0	0.4483354	0.3390167	0.5576541
slope_das_satis_2	slope_ss_self_2 (HIGH-slope_ss_self_1)	164	0.5610899	7.601571	0	0.1503836	0.0738177	0.2269495

# social provision - male satisfaction
nice_slopes(
  data = data_ttp[data_ttp$time == 0,],
  response = "slope_das_satis_2",
  predictor = "slope_sp_self_2",
  moderator = "slope_sp_self_1") %>%
  knitr::kable(
    caption = "Simple slope analysis"
  ) %>% 
  kableExtra::kable_styling()

Simple slope analysis

Dependent Variable	Predictor (+/-1 SD)	df	B	t	p	sr2	CI_lower	CI_upper
slope_das_satis_2	slope_sp_self_2 (LOW-slope_sp_self_1)	164	0.6934864	11.426235	0	0.3555402	0.2476183	0.4634621
slope_das_satis_2	slope_sp_self_2 (MEAN-slope_sp_self_1)	164	0.5819043	9.621601	0	0.2521025	0.1548749	0.3493301
slope_das_satis_2	slope_sp_self_2 (HIGH-slope_sp_self_1)	164	0.4703222	6.340219	0	0.1094689	0.0426208	0.1763170

# social provision - female satisfaction
nice_slopes(
  data = data_ttp[data_ttp$time == 0,],
  response = "slope_das_satis_1",
  predictor = "slope_sp_self_1",
  moderator = "slope_sp_self_2") %>%
  knitr::kable(
    caption = "Simple slope analysis"
  ) %>% 
  kableExtra::kable_styling()

Simple slope analysis

Dependent Variable	Predictor (+/-1 SD)	df	B	t	p	sr2	CI_lower	CI_upper
slope_das_satis_1	slope_sp_self_1 (LOW-slope_sp_self_2)	164	0.5273980	7.894034	0.0000000	0.2198297	0.1199980	0.3196615
slope_das_satis_1	slope_sp_self_1 (MEAN-slope_sp_self_2)	164	0.3832382	5.197591	0.0000006	0.0952999	0.0257790	0.1648209
slope_das_satis_1	slope_sp_self_1 (HIGH-slope_sp_self_2)	164	0.2390784	2.543753	0.0118911	0.0228264	0.0002283	0.0574572

H7. Cross-lagged effects

Longitudinally, there may be cross-lagged effects such that partner similarity in personality at each time point is associated with relationship quality at a subsequent time point, and vice versa. This is an exploratory analysis with no hypothesized direction.

Figure 1. General structure for the random-intercept cross-lagged panel model

Many of these models either did not converge or had estimation warnings.

#TODO: many did not converge or had estimation warnings
# create a cross-lagged dataset from timepoints 1->5 instead of 0->25
data_riclpm <- data_ttp %>%
  mutate(time = case_when(
    time == 0 ~ 1,
    time == 7 ~ 2,
    time == 13 ~ 3, 
    time == 19 ~ 4,
    time == 25 ~ 5)
)
var_list <- c(
  "ecr_avoid", "ecr_anx", 
  "ss_self", "ss_partner", "sp_self", "sp_partner",
  "ks_prox_self", "ks_prox_partner", "ks_sens_self", "ks_sens_partner",
  "ks_coop_self", "ks_coop_partner", "ks_comp_self", "ks_comp_partner",
  "con_collab_self", "con_collab_partner", "con_capit_self", "con_capit_partner",
  "con_stale_self", "con_stale_partner", "con_verba_self", "con_verba_partner"
)

prof_list <- c("conflict", "care")

quality_list <- c("das_satis", "das_coh")

# run function 
h7_results <- h7_function(var_list = var_list, prof_list = prof_list,
                          quality_list = quality_list, df = data_riclpm)
h7_results$fit_df %>%
  knitr::kable(
    caption = "Fit statistics for models of univariate personality difference") %>%
  kableExtra::kable_styling() %>%
  scroll_box(height = "300px")

h7_results$est_df %>%
  knitr::kable(
    caption = "Standardized solutions for models of univariate personality difference") %>%
  kableExtra::kable_styling() %>%
  scroll_box(height = "300px")

h7_results$fitprof_df %>%
  knitr::kable(
    caption = "Fit statistics for models of personality profile correlation") %>%
  kableExtra::kable_styling() %>%
  scroll_box(height = "300px")

h7_results$estprof_df %>%
  knitr::kable(
    caption = "Standardized solutions for models of personality profile correlation") %>%
  kableExtra::kable_styling() %>%
  scroll_box(height = "300px")

Research Question 3. Actor/Partner/Perceived/Similarity

H8. Actor/partner effect on quality

At baseline, self-reported characteristic adaptations are most strongly associated with self-reported relationship quality, more so than the effect of partner-reported and similarity on these variables.

Figure 2. General structure for the actor-partner interdependence model at baseline - Actual similarity

var_list <- c(
  # traits
  "bfi_e", "bfi_a", "bfi_c", "bfi_n", "bfi_o",
  
  # CA
  "ecr_avoid", "ecr_anx", 
  "ss_self", "ss_partner", "sp_self", "sp_partner",
  "ks_prox_self", "ks_prox_partner", "ks_sens_self", "ks_sens_partner",
  "ks_coop_self", "ks_coop_partner", "ks_comp_self", "ks_comp_partner",
  "con_collab_self", "con_collab_partner", "con_capit_self", "con_capit_partner",
  "con_stale_self", "con_stale_partner", "con_verba_self", "con_verba_partner"
)

quality_list <- c("das_satis", "das_coh")

# run function
h8_results <- h8_function(var_list = var_list,
                          quality_list = quality_list,
                          time = 0, df = data_ttp)
h8_results %>%
  knitr::kable(
    caption = "Standardized solutions for APIM models with actual similarity"
  ) %>%
  kableExtra::kable_styling() %>%
  scroll_box(height = "300px")

Standardized solutions for APIM models with actual similarity

lhs	op	rhs	label	est.std	se	z	pvalue	ci.lower	ci.upper
das_satis_1	~	bfi_e_1	a1	0.061	0.037	1.674	0.094	-0.010	0.133
das_satis_2	~	bfi_e_2	a2	0.010	0.037	0.266	0.790	-0.062	0.082
das_satis_2	~	bfi_e_1	p12	-0.081	0.037	-2.193	0.028	-0.153	-0.009
das_satis_1	~	bfi_e_2	p21	-0.004	0.037	-0.099	0.921	-0.076	0.068
das_satis_1	~	bfi_e_diff	d1	0.001	0.037	0.028	0.977	-0.071	0.073
das_satis_2	~	bfi_e_diff	d2	0.031	0.037	0.835	0.403	-0.042	0.103
das_coh_1	~	bfi_e_1	a1	0.087	0.036	2.396	0.017	0.016	0.158
das_coh_2	~	bfi_e_2	a2	0.125	0.037	3.426	0.001	0.054	0.197
das_coh_2	~	bfi_e_1	p12	-0.025	0.037	-0.690	0.490	-0.098	0.047
das_coh_1	~	bfi_e_2	p21	0.048	0.037	1.316	0.188	-0.024	0.120
das_coh_1	~	bfi_e_diff	d1	-0.046	0.036	-1.260	0.208	-0.117	0.025
das_coh_2	~	bfi_e_diff	d2	0.008	0.037	0.221	0.825	-0.064	0.081
das_satis_1	~	bfi_a_1	a1	0.247	0.035	6.994	0.000	0.178	0.317
das_satis_2	~	bfi_a_2	a2	0.125	0.036	3.464	0.001	0.054	0.196
das_satis_2	~	bfi_a_1	p12	0.086	0.037	2.313	0.021	0.013	0.158
das_satis_1	~	bfi_a_2	p21	0.072	0.035	2.054	0.040	0.003	0.142
das_satis_1	~	bfi_a_diff	d1	0.027	0.036	0.765	0.444	-0.043	0.098
das_satis_2	~	bfi_a_diff	d2	0.011	0.037	0.305	0.760	-0.061	0.083
das_coh_1	~	bfi_a_1	a1	0.176	0.036	4.820	0.000	0.104	0.247
das_coh_2	~	bfi_a_2	a2	0.076	0.037	2.072	0.038	0.004	0.149
das_coh_2	~	bfi_a_1	p12	-0.035	0.038	-0.921	0.357	-0.108	0.039
das_coh_1	~	bfi_a_2	p21	0.082	0.036	2.284	0.022	0.012	0.152
das_coh_1	~	bfi_a_diff	d1	0.073	0.036	2.013	0.044	0.002	0.144
das_coh_2	~	bfi_a_diff	d2	0.004	0.037	0.107	0.915	-0.069	0.077
das_satis_1	~	bfi_c_1	a1	0.162	0.038	4.295	0.000	0.088	0.236
das_satis_2	~	bfi_c_2	a2	0.200	0.037	5.452	0.000	0.128	0.272
das_satis_2	~	bfi_c_1	p12	0.073	0.038	1.907	0.057	-0.002	0.148
das_satis_1	~	bfi_c_2	p21	0.108	0.037	2.912	0.004	0.035	0.181
das_satis_1	~	bfi_c_diff	d1	-0.008	0.038	-0.214	0.831	-0.082	0.066
das_satis_2	~	bfi_c_diff	d2	0.058	0.038	1.540	0.123	-0.016	0.132
das_coh_1	~	bfi_c_1	a1	0.073	0.038	1.919	0.055	-0.002	0.148
das_coh_2	~	bfi_c_2	a2	0.206	0.037	5.629	0.000	0.134	0.278
das_coh_2	~	bfi_c_1	p12	-0.016	0.038	-0.411	0.681	-0.091	0.059
das_coh_1	~	bfi_c_2	p21	0.139	0.037	3.736	0.000	0.066	0.211
das_coh_1	~	bfi_c_diff	d1	0.127	0.038	3.376	0.001	0.053	0.201
das_coh_2	~	bfi_c_diff	d2	0.153	0.037	4.079	0.000	0.079	0.226
das_satis_1	~	bfi_n_1	a1	-0.213	0.044	-4.815	0.000	-0.300	-0.126
das_satis_2	~	bfi_n_2	a2	-0.137	0.044	-3.134	0.002	-0.222	-0.051
das_satis_2	~	bfi_n_1	p12	-0.137	0.045	-3.045	0.002	-0.225	-0.049
das_satis_1	~	bfi_n_2	p21	-0.081	0.043	-1.874	0.061	-0.166	0.004
das_satis_1	~	bfi_n_diff	d1	0.071	0.051	1.391	0.164	-0.029	0.172
das_satis_2	~	bfi_n_diff	d2	0.065	0.052	1.266	0.205	-0.036	0.167
das_coh_1	~	bfi_n_1	a1	-0.083	0.045	-1.830	0.067	-0.171	0.006
das_coh_2	~	bfi_n_2	a2	-0.146	0.044	-3.320	0.001	-0.233	-0.060
das_coh_2	~	bfi_n_1	p12	0.052	0.046	1.135	0.256	-0.038	0.141
das_coh_1	~	bfi_n_2	p21	-0.105	0.044	-2.402	0.016	-0.190	-0.019
das_coh_1	~	bfi_n_diff	d1	-0.103	0.052	-2.004	0.045	-0.205	-0.002
das_coh_2	~	bfi_n_diff	d2	-0.071	0.052	-1.351	0.177	-0.173	0.032
das_satis_1	~	bfi_o_1	a1	-0.005	0.038	-0.129	0.897	-0.080	0.070
das_satis_2	~	bfi_o_2	a2	-0.029	0.038	-0.774	0.439	-0.103	0.045
das_satis_2	~	bfi_o_1	p12	0.002	0.039	0.064	0.949	-0.073	0.078
das_satis_1	~	bfi_o_2	p21	0.007	0.037	0.177	0.860	-0.067	0.080
das_satis_1	~	bfi_o_diff	d1	0.001	0.038	0.029	0.977	-0.074	0.076
das_satis_2	~	bfi_o_diff	d2	-0.025	0.039	-0.652	0.514	-0.101	0.051
das_coh_1	~	bfi_o_1	a1	0.072	0.038	1.891	0.059	-0.003	0.146
das_coh_2	~	bfi_o_2	a2	0.077	0.038	2.047	0.041	0.003	0.150
das_coh_2	~	bfi_o_1	p12	-0.050	0.039	-1.284	0.199	-0.125	0.026
das_coh_1	~	bfi_o_2	p21	-0.007	0.037	-0.186	0.852	-0.080	0.066
das_coh_1	~	bfi_o_diff	d1	0.112	0.038	2.957	0.003	0.038	0.186
das_coh_2	~	bfi_o_diff	d2	-0.038	0.039	-0.993	0.321	-0.114	0.037
das_satis_1	~	ecr_avoid_1	a1	-0.296	0.037	-8.031	0.000	-0.368	-0.224
das_satis_2	~	ecr_avoid_2	a2	-0.427	0.033	-13.042	0.000	-0.491	-0.363
das_satis_2	~	ecr_avoid_1	p12	-0.044	0.036	-1.227	0.220	-0.113	0.026
das_satis_1	~	ecr_avoid_2	p21	-0.179	0.039	-4.631	0.000	-0.254	-0.103
das_satis_1	~	ecr_avoid_diff	d1	0.074	0.042	1.783	0.075	-0.007	0.155
das_satis_2	~	ecr_avoid_diff	d2	-0.022	0.038	-0.593	0.553	-0.097	0.052
das_coh_1	~	ecr_avoid_1	a1	-0.174	0.038	-4.596	0.000	-0.249	-0.100
das_coh_2	~	ecr_avoid_2	a2	-0.379	0.034	-11.316	0.000	-0.445	-0.314
das_coh_2	~	ecr_avoid_1	p12	0.006	0.036	0.157	0.875	-0.065	0.076
das_coh_1	~	ecr_avoid_2	p21	-0.168	0.038	-4.407	0.000	-0.243	-0.093
das_coh_1	~	ecr_avoid_diff	d1	-0.013	0.041	-0.305	0.760	-0.093	0.068
das_coh_2	~	ecr_avoid_diff	d2	-0.062	0.038	-1.635	0.102	-0.137	0.012
das_satis_1	~	ecr_anx_1	a1	-0.055	0.047	-1.171	0.241	-0.148	0.037
das_satis_2	~	ecr_anx_2	a2	-0.225	0.037	-6.090	0.000	-0.297	-0.153
das_satis_2	~	ecr_anx_1	p12	-0.066	0.045	-1.449	0.147	-0.154	0.023
das_satis_1	~	ecr_anx_2	p21	-0.158	0.040	-3.972	0.000	-0.235	-0.080
das_satis_1	~	ecr_anx_diff	d1	-0.068	0.048	-1.406	0.160	-0.162	0.027
das_satis_2	~	ecr_anx_diff	d2	-0.043	0.045	-0.945	0.345	-0.132	0.046
das_coh_1	~	ecr_anx_1	a1	-0.085	0.045	-1.884	0.060	-0.174	0.003
das_coh_2	~	ecr_anx_2	a2	-0.243	0.036	-6.699	0.000	-0.314	-0.172
das_coh_2	~	ecr_anx_1	p12	0.017	0.045	0.389	0.698	-0.071	0.106
das_coh_1	~	ecr_anx_2	p21	-0.109	0.038	-2.865	0.004	-0.183	-0.034
das_coh_1	~	ecr_anx_diff	d1	-0.145	0.045	-3.190	0.001	-0.234	-0.056
das_coh_2	~	ecr_anx_diff	d2	-0.046	0.045	-1.037	0.300	-0.134	0.041
das_satis_1	~	ss_self_1	a1	0.414	0.030	14.031	0.000	0.356	0.472
das_satis_2	~	ss_self_2	a2	0.566	0.031	18.458	0.000	0.506	0.626
das_satis_2	~	ss_self_1	p12	0.138	0.029	4.789	0.000	0.082	0.195
das_satis_1	~	ss_self_2	p21	0.250	0.040	6.308	0.000	0.172	0.327
das_satis_1	~	ss_self_diff	d1	0.014	0.040	0.341	0.733	-0.065	0.093
das_satis_2	~	ss_self_diff	d2	-0.052	0.034	-1.507	0.132	-0.119	0.016
das_coh_1	~	ss_self_1	a1	0.326	0.032	10.123	0.000	0.263	0.389
das_coh_2	~	ss_self_2	a2	0.460	0.035	13.045	0.000	0.391	0.530
das_coh_2	~	ss_self_1	p12	0.102	0.032	3.147	0.002	0.039	0.166
das_coh_1	~	ss_self_2	p21	0.172	0.041	4.233	0.000	0.093	0.252
das_coh_1	~	ss_self_diff	d1	-0.047	0.041	-1.158	0.247	-0.128	0.033
das_coh_2	~	ss_self_diff	d2	-0.024	0.038	-0.624	0.533	-0.098	0.051
das_satis_1	~	ss_partner_1	a1	0.485	0.029	16.641	0.000	0.428	0.542
das_satis_2	~	ss_partner_2	a2	0.524	0.032	16.438	0.000	0.462	0.587
das_satis_2	~	ss_partner_1	p12	0.169	0.031	5.475	0.000	0.108	0.229
das_satis_1	~	ss_partner_2	p21	0.274	0.037	7.478	0.000	0.202	0.345
das_satis_1	~	ss_partner_diff	d1	0.032	0.035	0.918	0.359	-0.037	0.101
das_satis_2	~	ss_partner_diff	d2	-0.080	0.033	-2.426	0.015	-0.145	-0.015
das_coh_1	~	ss_partner_1	a1	0.302	0.035	8.557	0.000	0.233	0.371
das_coh_2	~	ss_partner_2	a2	0.484	0.037	13.173	0.000	0.412	0.556
das_coh_2	~	ss_partner_1	p12	0.020	0.036	0.560	0.575	-0.050	0.090
das_coh_1	~	ss_partner_2	p21	0.247	0.041	5.952	0.000	0.166	0.328
das_coh_1	~	ss_partner_diff	d1	0.109	0.040	2.707	0.007	0.030	0.187
das_coh_2	~	ss_partner_diff	d2	0.014	0.038	0.378	0.705	-0.060	0.089
das_satis_1	~	sp_self_1	a1	0.442	0.033	13.542	0.000	0.378	0.505
das_satis_2	~	sp_self_2	a2	0.563	0.031	18.163	0.000	0.502	0.624
das_satis_2	~	sp_self_1	p12	0.156	0.032	4.896	0.000	0.093	0.218
das_satis_1	~	sp_self_2	p21	0.182	0.038	4.728	0.000	0.106	0.257
das_satis_1	~	sp_self_diff	d1	-0.037	0.037	-1.012	0.311	-0.110	0.035
das_satis_2	~	sp_self_diff	d2	-0.010	0.033	-0.294	0.769	-0.074	0.055
das_coh_1	~	sp_self_1	a1	0.363	0.035	10.394	0.000	0.294	0.431
das_coh_2	~	sp_self_2	a2	0.428	0.036	11.760	0.000	0.356	0.499
das_coh_2	~	sp_self_1	p12	0.115	0.036	3.201	0.001	0.044	0.185
das_coh_1	~	sp_self_2	p21	0.153	0.040	3.794	0.000	0.074	0.232
das_coh_1	~	sp_self_diff	d1	-0.026	0.039	-0.673	0.501	-0.102	0.050
das_coh_2	~	sp_self_diff	d2	-0.034	0.037	-0.924	0.356	-0.107	0.038
das_satis_1	~	sp_partner_1	a1	0.452	0.033	13.596	0.000	0.386	0.517
das_satis_2	~	sp_partner_2	a2	0.541	0.031	17.204	0.000	0.479	0.603
das_satis_2	~	sp_partner_1	p12	0.189	0.034	5.617	0.000	0.123	0.255
das_satis_1	~	sp_partner_2	p21	0.215	0.037	5.816	0.000	0.143	0.287
das_satis_1	~	sp_partner_diff	d1	-0.060	0.038	-1.596	0.111	-0.134	0.014
das_satis_2	~	sp_partner_diff	d2	-0.014	0.035	-0.391	0.696	-0.082	0.055
das_coh_1	~	sp_partner_1	a1	0.322	0.038	8.482	0.000	0.248	0.396
das_coh_2	~	sp_partner_2	a2	0.486	0.036	13.385	0.000	0.415	0.557
das_coh_2	~	sp_partner_1	p12	0.047	0.039	1.218	0.223	-0.029	0.123
das_coh_1	~	sp_partner_2	p21	0.210	0.041	5.139	0.000	0.130	0.290
das_coh_1	~	sp_partner_diff	d1	0.011	0.042	0.273	0.785	-0.071	0.094
das_coh_2	~	sp_partner_diff	d2	0.023	0.040	0.577	0.564	-0.055	0.102
das_satis_1	~	ks_prox_self_1	a1	0.359	0.033	10.761	0.000	0.294	0.424
das_satis_2	~	ks_prox_self_2	a2	0.578	0.036	16.213	0.000	0.508	0.648
das_satis_2	~	ks_prox_self_1	p12	0.134	0.032	4.139	0.000	0.070	0.197
das_satis_1	~	ks_prox_self_2	p21	0.279	0.044	6.320	0.000	0.193	0.366
das_satis_1	~	ks_prox_self_diff	d1	0.025	0.048	0.521	0.602	-0.068	0.118
das_satis_2	~	ks_prox_self_diff	d2	0.049	0.042	1.183	0.237	-0.032	0.131
das_coh_1	~	ks_prox_self_1	a1	0.220	0.035	6.193	0.000	0.150	0.289
das_coh_2	~	ks_prox_self_2	a2	0.381	0.041	9.281	0.000	0.301	0.462
das_coh_2	~	ks_prox_self_1	p12	0.132	0.035	3.739	0.000	0.063	0.201
das_coh_1	~	ks_prox_self_2	p21	0.170	0.045	3.821	0.000	0.083	0.257
das_coh_1	~	ks_prox_self_diff	d1	-0.136	0.047	-2.886	0.004	-0.228	-0.044
das_coh_2	~	ks_prox_self_diff	d2	-0.031	0.045	-0.696	0.486	-0.120	0.057
das_satis_1	~	ks_prox_partner_1	a1	0.394	0.032	12.282	0.000	0.331	0.457
das_satis_2	~	ks_prox_partner_2	a2	0.397	0.034	11.812	0.000	0.331	0.463
das_satis_2	~	ks_prox_partner_1	p12	0.278	0.032	8.727	0.000	0.216	0.341
das_satis_1	~	ks_prox_partner_2	p21	0.238	0.037	6.389	0.000	0.165	0.311
das_satis_1	~	ks_prox_partner_diff	d1	-0.096	0.038	-2.498	0.012	-0.171	-0.021
das_satis_2	~	ks_prox_partner_diff	d2	-0.066	0.036	-1.839	0.066	-0.137	0.004
das_coh_1	~	ks_prox_partner_1	a1	0.320	0.035	9.044	0.000	0.250	0.389
das_coh_2	~	ks_prox_partner_2	a2	0.365	0.037	9.935	0.000	0.293	0.437
das_coh_2	~	ks_prox_partner_1	p12	0.174	0.035	4.897	0.000	0.104	0.243
das_coh_1	~	ks_prox_partner_2	p21	0.165	0.040	4.107	0.000	0.086	0.244
das_coh_1	~	ks_prox_partner_diff	d1	-0.025	0.041	-0.615	0.539	-0.106	0.055
das_coh_2	~	ks_prox_partner_diff	d2	-0.015	0.039	-0.380	0.704	-0.092	0.062
das_satis_1	~	ks_sens_self_1	a1	0.351	0.033	10.779	0.000	0.287	0.415
das_satis_2	~	ks_sens_self_2	a2	0.337	0.036	9.265	0.000	0.266	0.408
das_satis_2	~	ks_sens_self_1	p12	0.158	0.035	4.542	0.000	0.090	0.226
das_satis_1	~	ks_sens_self_2	p21	0.153	0.039	3.928	0.000	0.077	0.230
das_satis_1	~	ks_sens_self_diff	d1	-0.041	0.038	-1.065	0.287	-0.115	0.034
das_satis_2	~	ks_sens_self_diff	d2	0.037	0.037	0.993	0.321	-0.036	0.109
das_coh_1	~	ks_sens_self_1	a1	0.349	0.033	10.702	0.000	0.285	0.413
das_coh_2	~	ks_sens_self_2	a2	0.365	0.035	10.363	0.000	0.296	0.434
das_coh_2	~	ks_sens_self_1	p12	0.145	0.035	4.197	0.000	0.077	0.213
das_coh_1	~	ks_sens_self_2	p21	0.116	0.038	3.040	0.002	0.041	0.190
das_coh_1	~	ks_sens_self_diff	d1	-0.066	0.037	-1.790	0.073	-0.139	0.006
das_coh_2	~	ks_sens_self_diff	d2	0.051	0.036	1.400	0.162	-0.020	0.121
das_satis_1	~	ks_sens_partner_1	a1	0.419	0.034	12.237	0.000	0.352	0.487
das_satis_2	~	ks_sens_partner_2	a2	0.457	0.031	14.775	0.000	0.397	0.518
das_satis_2	~	ks_sens_partner_1	p12	0.194	0.036	5.442	0.000	0.124	0.264
das_satis_1	~	ks_sens_partner_2	p21	0.242	0.034	7.013	0.000	0.174	0.309
das_satis_1	~	ks_sens_partner_diff	d1	-0.054	0.034	-1.572	0.116	-0.121	0.013
das_satis_2	~	ks_sens_partner_diff	d2	-0.014	0.033	-0.410	0.681	-0.079	0.051
das_coh_1	~	ks_sens_partner_1	a1	0.403	0.036	11.231	0.000	0.332	0.473
das_coh_2	~	ks_sens_partner_2	a2	0.363	0.034	10.617	0.000	0.296	0.429
das_coh_2	~	ks_sens_partner_1	p12	0.162	0.038	4.242	0.000	0.087	0.237
das_coh_1	~	ks_sens_partner_2	p21	0.140	0.036	3.891	0.000	0.070	0.211
das_coh_1	~	ks_sens_partner_diff	d1	-0.016	0.036	-0.446	0.655	-0.086	0.054
das_coh_2	~	ks_sens_partner_diff	d2	-0.020	0.036	-0.551	0.581	-0.089	0.050
das_satis_1	~	ks_coop_self_1	a1	0.242	0.034	7.126	0.000	0.176	0.309
das_satis_2	~	ks_coop_self_2	a2	0.288	0.035	8.279	0.000	0.220	0.356
das_satis_2	~	ks_coop_self_1	p12	0.083	0.035	2.371	0.018	0.014	0.151
das_satis_1	~	ks_coop_self_2	p21	0.110	0.038	2.873	0.004	0.035	0.185
das_satis_1	~	ks_coop_self_diff	d1	-0.039	0.038	-1.024	0.306	-0.115	0.036
das_satis_2	~	ks_coop_self_diff	d2	0.002	0.036	0.059	0.953	-0.069	0.073
das_coh_1	~	ks_coop_self_1	a1	0.243	0.034	7.106	0.000	0.176	0.311
das_coh_2	~	ks_coop_self_2	a2	0.213	0.036	5.989	0.000	0.143	0.282
das_coh_2	~	ks_coop_self_1	p12	0.075	0.036	2.095	0.036	0.005	0.144
das_coh_1	~	ks_coop_self_2	p21	0.005	0.037	0.134	0.894	-0.068	0.078
das_coh_1	~	ks_coop_self_diff	d1	-0.056	0.037	-1.501	0.133	-0.128	0.017
das_coh_2	~	ks_coop_self_diff	d2	-0.017	0.036	-0.477	0.633	-0.089	0.054
das_satis_1	~	ks_coop_partner_1	a1	0.357	0.032	11.166	0.000	0.294	0.420
das_satis_2	~	ks_coop_partner_2	a2	0.520	0.030	17.478	0.000	0.462	0.578
das_satis_2	~	ks_coop_partner_1	p12	0.153	0.031	4.873	0.000	0.091	0.214
das_satis_1	~	ks_coop_partner_2	p21	0.262	0.036	7.242	0.000	0.191	0.333
das_satis_1	~	ks_coop_partner_diff	d1	-0.024	0.036	-0.651	0.515	-0.095	0.048
das_satis_2	~	ks_coop_partner_diff	d2	0.051	0.033	1.544	0.123	-0.014	0.115
das_coh_1	~	ks_coop_partner_1	a1	0.240	0.034	7.010	0.000	0.173	0.307
das_coh_2	~	ks_coop_partner_2	a2	0.414	0.034	12.366	0.000	0.349	0.480
das_coh_2	~	ks_coop_partner_1	p12	0.087	0.034	2.542	0.011	0.020	0.154
das_coh_1	~	ks_coop_partner_2	p21	0.241	0.037	6.587	0.000	0.170	0.313
das_coh_1	~	ks_coop_partner_diff	d1	-0.060	0.037	-1.632	0.103	-0.132	0.012
das_coh_2	~	ks_coop_partner_diff	d2	0.045	0.036	1.269	0.204	-0.025	0.115
das_satis_1	~	ks_comp_self_1	a1	0.164	0.037	4.491	0.000	0.093	0.236
das_satis_2	~	ks_comp_self_2	a2	0.203	0.036	5.617	0.000	0.132	0.274
das_satis_2	~	ks_comp_self_1	p12	0.040	0.037	1.079	0.281	-0.033	0.113
das_satis_1	~	ks_comp_self_2	p21	0.092	0.039	2.368	0.018	0.016	0.168
das_satis_1	~	ks_comp_self_diff	d1	0.019	0.040	0.469	0.639	-0.060	0.097
das_satis_2	~	ks_comp_self_diff	d2	0.046	0.038	1.216	0.224	-0.028	0.120
das_coh_1	~	ks_comp_self_1	a1	0.159	0.037	4.347	0.000	0.088	0.231
das_coh_2	~	ks_comp_self_2	a2	0.106	0.036	2.905	0.004	0.034	0.177
das_coh_2	~	ks_comp_self_1	p12	0.066	0.037	1.756	0.079	-0.008	0.139
das_coh_1	~	ks_comp_self_2	p21	0.032	0.037	0.869	0.385	-0.041	0.106
das_coh_1	~	ks_comp_self_diff	d1	0.012	0.038	0.314	0.754	-0.063	0.087
das_coh_2	~	ks_comp_self_diff	d2	0.097	0.038	2.593	0.010	0.024	0.171
das_satis_1	~	ks_comp_partner_1	a1	0.242	0.037	6.464	0.000	0.168	0.315
das_satis_2	~	ks_comp_partner_2	a2	0.262	0.039	6.726	0.000	0.186	0.338
das_satis_2	~	ks_comp_partner_1	p12	0.106	0.037	2.864	0.004	0.033	0.179
das_satis_1	~	ks_comp_partner_2	p21	0.038	0.043	0.890	0.373	-0.045	0.121
das_satis_1	~	ks_comp_partner_diff	d1	-0.058	0.042	-1.366	0.172	-0.141	0.025
das_satis_2	~	ks_comp_partner_diff	d2	0.036	0.040	0.895	0.371	-0.042	0.114
das_coh_1	~	ks_comp_partner_1	a1	0.190	0.037	5.093	0.000	0.117	0.263
das_coh_2	~	ks_comp_partner_2	a2	0.237	0.039	6.063	0.000	0.160	0.314
das_coh_2	~	ks_comp_partner_1	p12	0.042	0.038	1.122	0.262	-0.031	0.116
das_coh_1	~	ks_comp_partner_2	p21	0.047	0.041	1.148	0.251	-0.033	0.127
das_coh_1	~	ks_comp_partner_diff	d1	-0.058	0.041	-1.407	0.159	-0.138	0.023
das_coh_2	~	ks_comp_partner_diff	d2	0.106	0.040	2.674	0.008	0.028	0.184
das_satis_1	~	con_collab_self_1	a1	0.137	0.036	3.818	0.000	0.067	0.207
das_satis_2	~	con_collab_self_2	a2	0.243	0.039	6.191	0.000	0.166	0.319
das_satis_2	~	con_collab_self_1	p12	0.045	0.036	1.253	0.210	-0.025	0.115
das_satis_1	~	con_collab_self_2	p21	0.158	0.042	3.766	0.000	0.076	0.240
das_satis_1	~	con_collab_self_diff	d1	0.215	0.041	5.245	0.000	0.135	0.295
das_satis_2	~	con_collab_self_diff	d2	0.261	0.038	6.786	0.000	0.186	0.336
das_coh_1	~	con_collab_self_1	a1	0.292	0.034	8.708	0.000	0.226	0.358
das_coh_2	~	con_collab_self_2	a2	0.420	0.035	11.976	0.000	0.351	0.488
das_coh_2	~	con_collab_self_1	p12	0.066	0.034	1.923	0.054	-0.001	0.133
das_coh_1	~	con_collab_self_2	p21	0.160	0.039	4.098	0.000	0.083	0.236
das_coh_1	~	con_collab_self_diff	d1	0.169	0.038	4.393	0.000	0.093	0.244
das_coh_2	~	con_collab_self_diff	d2	0.172	0.037	4.664	0.000	0.100	0.244
das_satis_1	~	con_collab_partner_1	a1	0.213	0.037	5.798	0.000	0.141	0.285
das_satis_2	~	con_collab_partner_2	a2	0.303	0.037	8.190	0.000	0.230	0.375
das_satis_2	~	con_collab_partner_1	p12	0.169	0.036	4.747	0.000	0.099	0.239
das_satis_1	~	con_collab_partner_2	p21	0.222	0.040	5.542	0.000	0.143	0.300
das_satis_1	~	con_collab_partner_diff	d1	0.095	0.039	2.448	0.014	0.019	0.171
das_satis_2	~	con_collab_partner_diff	d2	0.162	0.036	4.440	0.000	0.090	0.233
das_coh_1	~	con_collab_partner_1	a1	0.358	0.033	10.868	0.000	0.293	0.422
das_coh_2	~	con_collab_partner_2	a2	0.477	0.032	14.798	0.000	0.413	0.540
das_coh_2	~	con_collab_partner_1	p12	0.093	0.034	2.760	0.006	0.027	0.159
das_coh_1	~	con_collab_partner_2	p21	0.171	0.037	4.623	0.000	0.099	0.244
das_coh_1	~	con_collab_partner_diff	d1	0.107	0.036	2.985	0.003	0.037	0.177
das_coh_2	~	con_collab_partner_diff	d2	0.128	0.034	3.752	0.000	0.061	0.195
das_satis_1	~	con_capit_self_1	a1	-0.413	0.030	-13.684	0.000	-0.472	-0.354
das_satis_2	~	con_capit_self_2	a2	-0.369	0.040	-9.277	0.000	-0.447	-0.291
das_satis_2	~	con_capit_self_1	p12	-0.125	0.033	-3.762	0.000	-0.190	-0.060
das_satis_1	~	con_capit_self_2	p21	-0.131	0.043	-3.060	0.002	-0.215	-0.047
das_satis_1	~	con_capit_self_diff	d1	-0.087	0.043	-2.018	0.044	-0.172	-0.003
das_satis_2	~	con_capit_self_diff	d2	-0.100	0.042	-2.382	0.017	-0.182	-0.018
das_coh_1	~	con_capit_self_1	a1	-0.164	0.036	-4.610	0.000	-0.234	-0.094
das_coh_2	~	con_capit_self_2	a2	-0.246	0.044	-5.632	0.000	-0.331	-0.160
das_coh_2	~	con_capit_self_1	p12	-0.072	0.036	-1.988	0.047	-0.143	-0.001
das_coh_1	~	con_capit_self_2	p21	-0.165	0.045	-3.679	0.000	-0.254	-0.077
das_coh_1	~	con_capit_self_diff	d1	-0.057	0.046	-1.252	0.211	-0.147	0.032
das_coh_2	~	con_capit_self_diff	d2	-0.036	0.045	-0.805	0.421	-0.124	0.052
das_satis_1	~	con_capit_partner_1	a1	-0.325	0.036	-9.088	0.000	-0.395	-0.255
das_satis_2	~	con_capit_partner_2	a2	-0.298	0.035	-8.404	0.000	-0.367	-0.228
das_satis_2	~	con_capit_partner_1	p12	-0.214	0.036	-6.018	0.000	-0.284	-0.145
das_satis_1	~	con_capit_partner_2	p21	-0.149	0.039	-3.859	0.000	-0.224	-0.073
das_satis_1	~	con_capit_partner_diff	d1	-0.095	0.041	-2.328	0.020	-0.176	-0.015
das_satis_2	~	con_capit_partner_diff	d2	-0.091	0.039	-2.345	0.019	-0.167	-0.015
das_coh_1	~	con_capit_partner_1	a1	-0.213	0.038	-5.561	0.000	-0.287	-0.138
das_coh_2	~	con_capit_partner_2	a2	-0.162	0.039	-4.175	0.000	-0.238	-0.086
das_coh_2	~	con_capit_partner_1	p12	-0.131	0.039	-3.379	0.001	-0.206	-0.055
das_coh_1	~	con_capit_partner_2	p21	-0.059	0.040	-1.465	0.143	-0.137	0.020
das_coh_1	~	con_capit_partner_diff	d1	-0.076	0.042	-1.809	0.070	-0.159	0.006
das_coh_2	~	con_capit_partner_diff	d2	-0.069	0.041	-1.654	0.098	-0.150	0.013
das_satis_1	~	con_stale_self_1	a1	-0.567	0.037	-15.158	0.000	-0.640	-0.494
das_satis_2	~	con_stale_self_2	a2	-0.493	0.031	-16.072	0.000	-0.553	-0.433
das_satis_2	~	con_stale_self_1	p12	-0.242	0.041	-5.964	0.000	-0.322	-0.163
das_satis_1	~	con_stale_self_2	p21	-0.237	0.034	-6.911	0.000	-0.305	-0.170
das_satis_1	~	con_stale_self_diff	d1	0.146	0.044	3.285	0.001	0.059	0.233
das_satis_2	~	con_stale_self_diff	d2	0.111	0.043	2.573	0.010	0.027	0.196
das_coh_1	~	con_stale_self_1	a1	-0.222	0.045	-4.923	0.000	-0.311	-0.134
das_coh_2	~	con_stale_self_2	a2	-0.339	0.036	-9.527	0.000	-0.409	-0.269
das_coh_2	~	con_stale_self_1	p12	-0.118	0.045	-2.592	0.010	-0.206	-0.029
das_coh_1	~	con_stale_self_2	p21	-0.221	0.038	-5.890	0.000	-0.295	-0.148
das_coh_1	~	con_stale_self_diff	d1	-0.011	0.049	-0.223	0.824	-0.107	0.085
das_coh_2	~	con_stale_self_diff	d2	0.035	0.048	0.728	0.466	-0.059	0.129
das_satis_1	~	con_stale_partner_1	a1	-0.436	0.030	-14.514	0.000	-0.495	-0.377
das_satis_2	~	con_stale_partner_2	a2	-0.455	0.049	-9.227	0.000	-0.552	-0.359
das_satis_2	~	con_stale_partner_1	p12	-0.221	0.030	-7.273	0.000	-0.281	-0.162
das_satis_1	~	con_stale_partner_2	p21	-0.249	0.056	-4.475	0.000	-0.357	-0.140
das_satis_1	~	con_stale_partner_diff	d1	-0.014	0.055	-0.261	0.794	-0.123	0.094
das_satis_2	~	con_stale_partner_diff	d2	-0.079	0.050	-1.565	0.118	-0.177	0.020
das_coh_1	~	con_stale_partner_1	a1	-0.229	0.036	-6.398	0.000	-0.299	-0.159
das_coh_2	~	con_stale_partner_2	a2	-0.258	0.059	-4.365	0.000	-0.374	-0.142
das_coh_2	~	con_stale_partner_1	p12	-0.149	0.036	-4.121	0.000	-0.220	-0.078
das_coh_1	~	con_stale_partner_2	p21	-0.155	0.062	-2.515	0.012	-0.276	-0.034
das_coh_1	~	con_stale_partner_diff	d1	-0.054	0.061	-0.888	0.374	-0.174	0.065
das_coh_2	~	con_stale_partner_diff	d2	-0.050	0.059	-0.845	0.398	-0.166	0.066
das_satis_1	~	con_verba_self_1	a1	-0.406	0.035	-11.763	0.000	-0.474	-0.338
das_satis_2	~	con_verba_self_2	a2	-0.374	0.035	-10.576	0.000	-0.443	-0.304
das_satis_2	~	con_verba_self_1	p12	-0.128	0.036	-3.523	0.000	-0.199	-0.057
das_satis_1	~	con_verba_self_2	p21	-0.042	0.040	-1.055	0.291	-0.119	0.036
das_satis_1	~	con_verba_self_diff	d1	-0.066	0.041	-1.600	0.110	-0.146	0.015
das_satis_2	~	con_verba_self_diff	d2	-0.055	0.039	-1.415	0.157	-0.131	0.021
das_coh_1	~	con_verba_self_1	a1	-0.142	0.039	-3.642	0.000	-0.218	-0.066
das_coh_2	~	con_verba_self_2	a2	-0.165	0.040	-4.167	0.000	-0.242	-0.087
das_coh_2	~	con_verba_self_1	p12	-0.054	0.040	-1.360	0.174	-0.131	0.024
das_coh_1	~	con_verba_self_2	p21	-0.064	0.040	-1.592	0.111	-0.144	0.015
das_coh_1	~	con_verba_self_diff	d1	-0.150	0.042	-3.584	0.000	-0.232	-0.068
das_coh_2	~	con_verba_self_diff	d2	-0.105	0.041	-2.531	0.011	-0.186	-0.024
das_satis_1	~	con_verba_partner_1	a1	-0.445	0.032	-13.741	0.000	-0.509	-0.382
das_satis_2	~	con_verba_partner_2	a2	-0.386	0.037	-10.445	0.000	-0.459	-0.314
das_satis_2	~	con_verba_partner_1	p12	-0.133	0.034	-3.929	0.000	-0.200	-0.067
das_satis_1	~	con_verba_partner_2	p21	-0.110	0.041	-2.698	0.007	-0.190	-0.030
das_satis_1	~	con_verba_partner_diff	d1	-0.120	0.042	-2.871	0.004	-0.201	-0.038
das_satis_2	~	con_verba_partner_diff	d2	-0.172	0.039	-4.358	0.000	-0.249	-0.095
das_coh_1	~	con_verba_partner_1	a1	-0.146	0.039	-3.735	0.000	-0.223	-0.070
das_coh_2	~	con_verba_partner_2	a2	-0.185	0.044	-4.204	0.000	-0.272	-0.099
das_coh_2	~	con_verba_partner_1	p12	-0.029	0.039	-0.744	0.457	-0.106	0.048
das_coh_1	~	con_verba_partner_2	p21	-0.113	0.045	-2.507	0.012	-0.202	-0.025
das_coh_1	~	con_verba_partner_diff	d1	-0.135	0.046	-2.919	0.004	-0.225	-0.044
das_coh_2	~	con_verba_partner_diff	d2	-0.138	0.045	-3.034	0.002	-0.227	-0.049

H9. Perceived/actual similarity comparison

At baseline, perceived similarity in personality traits and characteristic adaptations is stronger than actual similarity. That is, the correlation between each partner’s self-perception and perception of their partner is stronger than the correlation between two partners’ self-perceptions.

perception_list <- c(
  "ss", "sp",
  "ks_prox", "ks_sens",
  "ks_coop", "ks_comp",
  "con_collab", "con_capit",
  "con_stale", "con_verba"
)

# run function
h9_results <- h9_function(perception_list = perception_list,
                          time = 0, df = data_ttp)

h9_results$similarity_df %>%
  knitr::kable(
    caption = "Actual and perceived similarities as bivariate correlations") %>%
  kableExtra::kable_styling() %>%
  scroll_box(height = "300px")

Actual and perceived similarities as bivariate correlations

similarity	personality	correlation	p-value
actual	ss	0.084 [-0.068 - 0.233]	0.278
female-perceived	ss	0.475 [0.349 - 0.585]	0
male-perceived	ss	0.448 [0.318 - 0.562]	0
actual	sp	0.311 [0.168 - 0.442]	0
female-perceived	sp	0.637 [0.537 - 0.719]	0
male-perceived	sp	0.552 [0.436 - 0.649]	0
actual	ks_prox	0.057 [-0.095 - 0.207]	0.463
female-perceived	ks_prox	0.365 [0.226 - 0.489]	0
male-perceived	ks_prox	0.447 [0.316 - 0.561]	0
actual	ks_sens	0.267 [0.12 - 0.402]	0
female-perceived	ks_sens	0.537 [0.42 - 0.637]	0
male-perceived	ks_sens	0.532 [0.413 - 0.632]	0
actual	ks_coop	0.073 [-0.079 - 0.222]	0.346
female-perceived	ks_coop	0.346 [0.205 - 0.473]	0
male-perceived	ks_coop	0.311 [0.167 - 0.441]	0
actual	ks_comp	0.043 [-0.109 - 0.193]	0.581
female-perceived	ks_comp	0.264 [0.117 - 0.399]	0.001
male-perceived	ks_comp	0.421 [0.288 - 0.538]	0
actual	con_collab	0.246 [0.098 - 0.383]	0.001
female-perceived	con_collab	0.649 [0.551 - 0.729]	0
male-perceived	con_collab	0.635 [0.535 - 0.717]	0
actual	con_capit	0.219 [0.07 - 0.358]	0.004
female-perceived	con_capit	0.479 [0.353 - 0.588]	0
male-perceived	con_capit	0.413 [0.279 - 0.531]	0
actual	con_stale	0.206 [0.056 - 0.346]	0.008
female-perceived	con_stale	0.479 [0.353 - 0.588]	0
male-perceived	con_stale	0.508 [0.386 - 0.612]	0
actual	con_verba	0.421 [0.288 - 0.538]	0
female-perceived	con_verba	0.597 [0.49 - 0.686]	0
male-perceived	con_verba	0.682 [0.592 - 0.755]	0

h9_results$compare_df %>%
  knitr::kable(
    caption = "Comparison between actual and perceived similarities") %>%
  kableExtra::kable_styling() %>%
  scroll_box(height = "300px")

Comparison between actual and perceived similarities

V1	V2	personality	z_stat	sig
actual	female-perceived	ss	-3.9304259	TRUE
actual	male-perceived	ss	-3.6098761	TRUE
female-perceived	male-perceived	ss	0.3145719	FALSE
actual	female-perceived	sp	-3.9094383	TRUE
actual	male-perceived	sp	-2.7057723	TRUE
female-perceived	male-perceived	sp	1.1917288	FALSE
actual	female-perceived	ks_prox	-2.9470843	TRUE
actual	male-perceived	ks_prox	-3.8330048	TRUE
female-perceived	male-perceived	ks_prox	-0.8917413	FALSE
actual	female-perceived	ks_sens	-2.9639962	TRUE
actual	male-perceived	ks_sens	-2.8877747	TRUE
female-perceived	male-perceived	ks_sens	0.0718361	FALSE
actual	female-perceived	ks_coop	-2.6115173	TRUE
actual	male-perceived	ks_coop	-2.2529161	TRUE
female-perceived	male-perceived	ks_coop	0.3586012	FALSE
actual	female-perceived	ks_comp	-2.0639067	TRUE
actual	male-perceived	ks_comp	-3.6902219	TRUE
female-perceived	male-perceived	ks_comp	-1.6263152	FALSE
actual	female-perceived	con_collab	-4.7429466	TRUE
actual	male-perceived	con_collab	-4.5297836	TRUE
female-perceived	male-perceived	con_collab	0.2131629	FALSE
actual	female-perceived	con_capit	-2.7208123	TRUE
actual	male-perceived	con_capit	-1.9720844	TRUE
female-perceived	male-perceived	con_capit	0.7487279	FALSE
actual	female-perceived	con_stale	-2.8462768	TRUE
actual	male-perceived	con_stale	-3.1933894	TRUE
female-perceived	male-perceived	con_stale	-0.3471126	FALSE
actual	female-perceived	con_verba	-2.1687087	TRUE
actual	male-perceived	con_verba	-3.4830447	TRUE
female-perceived	male-perceived	con_verba	-1.3143360	FALSE

H10. Perceived/actual similarity effects

At baseline, each partner’s perceived similarity is more strongly associated with self-reported relationship quality than actual similarity is.

Figure 3. General structure for the actor-partner interdependence model at baseline - Perceived similarity

perception_list <- c(
  "ss", "sp",
  "ks_prox", "ks_sens",
  "ks_coop", "ks_comp",
  "con_collab", "con_capit",
  "con_stale", "con_verba"
)

quality_list <- c("das_satis", "das_coh")

# run function
h10_results <- h10_function(perception_list = perception_list,
                            quality_list = quality_list,
                            timepoint = 0, df = data_ttp)

h10_results$est_df_p1 %>%
  knitr::kable(
    caption = "Standardized solutions for APIM models with female-perceived similarity"
  ) %>%
  kableExtra::kable_styling() %>%
  scroll_box(height = "300px")

Standardized solutions for APIM models with female-perceived similarity

perception	lhs	op	rhs	label	est.std	se	z	pvalue	ci.lower	ci.upper
female	das_satis_1	~	ss_self_1	a1	0.274	0.072	3.788	0.000	0.132	0.416
female	das_satis_2	~	ss_partner_1	ap1	0.173	0.102	1.694	0.090	-0.027	0.372
female	das_satis_2	~	ss_self_1	p12	0.106	0.080	1.328	0.184	-0.051	0.263
female	das_satis_1	~	ss_partner_1	p21	0.344	0.092	3.734	0.000	0.163	0.524
female	das_satis_1	~	ss_diff_p1	d1	-0.056	0.084	-0.659	0.510	-0.221	0.110
female	das_satis_2	~	ss_diff_p1	d2	-0.261	0.090	-2.907	0.004	-0.437	-0.085
female	das_coh_1	~	ss_self_1	a1	0.236	0.079	2.981	0.003	0.081	0.391
female	das_coh_2	~	ss_partner_1	ap1	0.072	0.111	0.650	0.516	-0.146	0.291
female	das_coh_2	~	ss_self_1	p12	0.074	0.087	0.847	0.397	-0.097	0.245
female	das_coh_1	~	ss_partner_1	p21	0.158	0.102	1.545	0.122	-0.043	0.359
female	das_coh_1	~	ss_diff_p1	d1	-0.157	0.091	-1.719	0.086	-0.336	0.022
female	das_coh_2	~	ss_diff_p1	d2	-0.121	0.099	-1.220	0.223	-0.315	0.073
female	das_satis_1	~	sp_self_1	a1	0.115	0.090	1.280	0.201	-0.061	0.290
female	das_satis_2	~	sp_partner_1	ap1	0.522	0.100	5.225	0.000	0.326	0.717
female	das_satis_2	~	sp_self_1	p12	-0.066	0.090	-0.733	0.463	-0.242	0.110
female	das_satis_1	~	sp_partner_1	p21	0.322	0.104	3.105	0.002	0.119	0.525
female	das_satis_1	~	sp_diff_p1	d1	-0.057	0.092	-0.623	0.533	-0.238	0.123
female	das_satis_2	~	sp_diff_p1	d2	0.066	0.092	0.716	0.474	-0.115	0.247
female	das_coh_1	~	sp_self_1	a1	0.145	0.093	1.553	0.120	-0.038	0.327
female	das_coh_2	~	sp_partner_1	ap1	0.016	0.116	0.137	0.891	-0.211	0.243
female	das_coh_2	~	sp_self_1	p12	0.174	0.097	1.783	0.075	-0.017	0.365
female	das_coh_1	~	sp_partner_1	p21	0.079	0.110	0.716	0.474	-0.137	0.295
female	das_coh_1	~	sp_diff_p1	d1	-0.196	0.095	-2.060	0.039	-0.382	-0.010
female	das_coh_2	~	sp_diff_p1	d2	-0.023	0.101	-0.226	0.821	-0.220	0.175
female	das_satis_1	~	ks_prox_self_1	a1	0.290	0.066	4.377	0.000	0.160	0.420
female	das_satis_2	~	ks_prox_partner_1	ap1	0.286	0.102	2.809	0.005	0.087	0.486
female	das_satis_2	~	ks_prox_self_1	p12	-0.030	0.072	-0.415	0.678	-0.171	0.111
female	das_satis_1	~	ks_prox_partner_1	p21	0.492	0.094	5.246	0.000	0.308	0.676
female	das_satis_1	~	ks_prox_diff_p1	d1	0.114	0.098	1.166	0.244	-0.078	0.305
female	das_satis_2	~	ks_prox_diff_p1	d2	-0.268	0.102	-2.636	0.008	-0.468	-0.069
female	das_coh_1	~	ks_prox_self_1	a1	0.220	0.073	3.028	0.002	0.078	0.362
female	das_coh_2	~	ks_prox_partner_1	ap1	0.210	0.115	1.829	0.067	-0.015	0.434
female	das_coh_2	~	ks_prox_self_1	p12	0.094	0.080	1.182	0.237	-0.062	0.251
female	das_coh_1	~	ks_prox_partner_1	p21	0.358	0.104	3.439	0.001	0.154	0.561
female	das_coh_1	~	ks_prox_diff_p1	d1	0.026	0.106	0.245	0.807	-0.182	0.234
female	das_coh_2	~	ks_prox_diff_p1	d2	-0.029	0.115	-0.252	0.801	-0.255	0.197
female	das_satis_1	~	ks_sens_self_1	a1	0.107	0.080	1.345	0.179	-0.049	0.263
female	das_satis_2	~	ks_sens_partner_1	ap1	0.393	0.080	4.923	0.000	0.237	0.550
female	das_satis_2	~	ks_sens_self_1	p12	0.045	0.084	0.534	0.593	-0.119	0.208
female	das_satis_1	~	ks_sens_partner_1	p21	0.425	0.076	5.626	0.000	0.277	0.573
female	das_satis_1	~	ks_sens_diff_p1	d1	-0.031	0.071	-0.436	0.663	-0.169	0.108
female	das_satis_2	~	ks_sens_diff_p1	d2	-0.011	0.074	-0.153	0.878	-0.156	0.134
female	das_coh_1	~	ks_sens_self_1	a1	0.350	0.076	4.610	0.000	0.201	0.499
female	das_coh_2	~	ks_sens_partner_1	ap1	0.227	0.086	2.649	0.008	0.059	0.395
female	das_coh_2	~	ks_sens_self_1	p12	0.184	0.085	2.156	0.031	0.017	0.351
female	das_coh_1	~	ks_sens_partner_1	p21	0.203	0.079	2.564	0.010	0.048	0.358
female	das_coh_1	~	ks_sens_diff_p1	d1	-0.064	0.070	-0.911	0.362	-0.201	0.073
female	das_coh_2	~	ks_sens_diff_p1	d2	0.010	0.076	0.127	0.899	-0.140	0.159
female	das_satis_1	~	ks_coop_self_1	a1	0.111	0.088	1.266	0.205	-0.061	0.283
female	das_satis_2	~	ks_coop_partner_1	ap1	0.219	0.082	2.652	0.008	0.057	0.380
female	das_satis_2	~	ks_coop_self_1	p12	0.055	0.097	0.565	0.572	-0.136	0.246
female	das_satis_1	~	ks_coop_partner_1	p21	0.441	0.070	6.322	0.000	0.304	0.578
female	das_satis_1	~	ks_coop_diff_p1	d1	-0.009	0.083	-0.112	0.910	-0.172	0.153
female	das_satis_2	~	ks_coop_diff_p1	d2	-0.084	0.092	-0.923	0.356	-0.264	0.095
female	das_coh_1	~	ks_coop_self_1	a1	0.145	0.093	1.556	0.120	-0.038	0.328
female	das_coh_2	~	ks_coop_partner_1	ap1	0.202	0.083	2.434	0.015	0.039	0.365
female	das_coh_2	~	ks_coop_self_1	p12	0.072	0.098	0.739	0.460	-0.119	0.264
female	das_coh_1	~	ks_coop_partner_1	p21	0.288	0.078	3.681	0.000	0.135	0.441
female	das_coh_1	~	ks_coop_diff_p1	d1	-0.032	0.088	-0.358	0.721	-0.205	0.141
female	das_coh_2	~	ks_coop_diff_p1	d2	-0.043	0.092	-0.465	0.642	-0.223	0.138
female	das_satis_1	~	ks_comp_self_1	a1	0.322	0.123	2.625	0.009	0.082	0.563
female	das_satis_2	~	ks_comp_partner_1	ap1	-0.070	0.095	-0.736	0.462	-0.256	0.116
female	das_satis_2	~	ks_comp_self_1	p12	0.251	0.127	1.974	0.048	0.002	0.500
female	das_satis_1	~	ks_comp_partner_1	p21	0.133	0.092	1.443	0.149	-0.048	0.313
female	das_satis_1	~	ks_comp_diff_p1	d1	0.116	0.123	0.944	0.345	-0.125	0.358
female	das_satis_2	~	ks_comp_diff_p1	d2	-0.002	0.127	-0.016	0.987	-0.251	0.247
female	das_coh_1	~	ks_comp_self_1	a1	0.232	0.126	1.840	0.066	-0.015	0.479
female	das_coh_2	~	ks_comp_partner_1	ap1	-0.106	0.094	-1.123	0.261	-0.290	0.079
female	das_coh_2	~	ks_comp_self_1	p12	0.440	0.123	3.576	0.000	0.199	0.681
female	das_coh_1	~	ks_comp_partner_1	p21	-0.006	0.094	-0.059	0.953	-0.190	0.179
female	das_coh_1	~	ks_comp_diff_p1	d1	-0.069	0.126	-0.553	0.580	-0.316	0.177
female	das_coh_2	~	ks_comp_diff_p1	d2	0.253	0.125	2.028	0.043	0.008	0.497
female	das_satis_1	~	con_collab_self_1	a1	-0.058	0.104	-0.563	0.573	-0.261	0.145
female	das_satis_2	~	con_collab_partner_1	ap1	0.363	0.112	3.235	0.001	0.143	0.583
female	das_satis_2	~	con_collab_self_1	p12	-0.179	0.101	-1.768	0.077	-0.377	0.019
female	das_satis_1	~	con_collab_partner_1	p21	0.220	0.116	1.898	0.058	-0.007	0.448
female	das_satis_1	~	con_collab_diff_p1	d1	-0.129	0.089	-1.445	0.149	-0.303	0.046
female	das_satis_2	~	con_collab_diff_p1	d2	-0.077	0.088	-0.877	0.381	-0.249	0.095
female	das_coh_1	~	con_collab_self_1	a1	0.154	0.093	1.654	0.098	-0.029	0.337
female	das_coh_2	~	con_collab_partner_1	ap1	0.280	0.115	2.428	0.015	0.054	0.506
female	das_coh_2	~	con_collab_self_1	p12	0.030	0.104	0.294	0.768	-0.173	0.234
female	das_coh_1	~	con_collab_partner_1	p21	0.348	0.104	3.360	0.001	0.145	0.552
female	das_coh_1	~	con_collab_diff_p1	d1	-0.066	0.081	-0.810	0.418	-0.224	0.093
female	das_coh_2	~	con_collab_diff_p1	d2	0.064	0.089	0.721	0.471	-0.111	0.240
female	das_satis_1	~	con_capit_self_1	a1	-0.353	0.073	-4.802	0.000	-0.497	-0.209
female	das_satis_2	~	con_capit_partner_1	ap1	-0.252	0.091	-2.780	0.005	-0.430	-0.074
female	das_satis_2	~	con_capit_self_1	p12	-0.170	0.082	-2.066	0.039	-0.331	-0.009
female	das_satis_1	~	con_capit_partner_1	p21	-0.224	0.085	-2.651	0.008	-0.390	-0.058
female	das_satis_1	~	con_capit_diff_p1	d1	0.021	0.080	0.268	0.788	-0.135	0.178
female	das_satis_2	~	con_capit_diff_p1	d2	0.052	0.086	0.599	0.549	-0.117	0.220
female	das_coh_1	~	con_capit_self_1	a1	-0.113	0.085	-1.331	0.183	-0.280	0.054
female	das_coh_2	~	con_capit_partner_1	ap1	-0.247	0.093	-2.653	0.008	-0.429	-0.064
female	das_coh_2	~	con_capit_self_1	p12	-0.108	0.085	-1.271	0.204	-0.274	0.058
female	das_coh_1	~	con_capit_partner_1	p21	-0.046	0.095	-0.488	0.626	-0.233	0.140
female	das_coh_1	~	con_capit_diff_p1	d1	-0.158	0.088	-1.795	0.073	-0.330	0.015
female	das_coh_2	~	con_capit_diff_p1	d2	0.110	0.088	1.246	0.213	-0.063	0.282
female	das_satis_1	~	con_stale_self_1	a1	-0.318	0.141	-2.256	0.024	-0.594	-0.042
female	das_satis_2	~	con_stale_partner_1	ap1	-0.457	0.074	-6.211	0.000	-0.601	-0.313
female	das_satis_2	~	con_stale_self_1	p12	0.100	0.151	0.665	0.506	-0.195	0.396
female	das_satis_1	~	con_stale_partner_1	p21	-0.316	0.073	-4.358	0.000	-0.459	-0.174
female	das_satis_1	~	con_stale_diff_p1	d1	-0.036	0.131	-0.274	0.784	-0.292	0.220
female	das_satis_2	~	con_stale_diff_p1	d2	-0.209	0.138	-1.509	0.131	-0.479	0.062
female	das_coh_1	~	con_stale_self_1	a1	0.089	0.160	0.558	0.577	-0.224	0.402
female	das_coh_2	~	con_stale_partner_1	ap1	-0.123	0.087	-1.411	0.158	-0.294	0.048
female	das_coh_2	~	con_stale_self_1	p12	0.124	0.166	0.745	0.456	-0.202	0.450
female	das_coh_1	~	con_stale_partner_1	p21	-0.308	0.081	-3.780	0.000	-0.467	-0.148
female	das_coh_1	~	con_stale_diff_p1	d1	-0.253	0.146	-1.738	0.082	-0.539	0.032
female	das_coh_2	~	con_stale_diff_p1	d2	-0.320	0.151	-2.114	0.035	-0.616	-0.023
female	das_satis_1	~	con_verba_self_1	a1	-0.067	0.101	-0.665	0.506	-0.265	0.131
female	das_satis_2	~	con_verba_partner_1	ap1	-0.291	0.088	-3.327	0.001	-0.463	-0.120
female	das_satis_2	~	con_verba_self_1	p12	0.080	0.109	0.740	0.459	-0.133	0.293
female	das_satis_1	~	con_verba_partner_1	p21	-0.390	0.080	-4.894	0.000	-0.546	-0.234
female	das_satis_1	~	con_verba_diff_p1	d1	-0.162	0.084	-1.939	0.053	-0.326	0.002
female	das_satis_2	~	con_verba_diff_p1	d2	-0.256	0.089	-2.883	0.004	-0.430	-0.082
female	das_coh_1	~	con_verba_self_1	a1	0.016	0.112	0.139	0.889	-0.204	0.235
female	das_coh_2	~	con_verba_partner_1	ap1	-0.084	0.095	-0.885	0.376	-0.271	0.102
female	das_coh_2	~	con_verba_self_1	p12	-0.025	0.116	-0.217	0.828	-0.252	0.201
female	das_coh_1	~	con_verba_partner_1	p21	-0.257	0.091	-2.831	0.005	-0.435	-0.079
female	das_coh_1	~	con_verba_diff_p1	d1	-0.121	0.093	-1.299	0.194	-0.303	0.061
female	das_coh_2	~	con_verba_diff_p1	d2	-0.123	0.096	-1.286	0.198	-0.311	0.065

h10_results$est_df_p2 %>%
  knitr::kable(
    caption = "Standardized solutions for APIM models with male-perceived similarity"
  ) %>%
  kableExtra::kable_styling() %>%
  scroll_box(height = "300px")

Standardized solutions for APIM models with male-perceived similarity

perception	lhs	op	rhs	label	est.std	se	z	pvalue	ci.lower	ci.upper
male	das_satis_2	~	ss_self_2	a2	0.409	0.053	7.661	0.000	0.305	0.514
male	das_satis_1	~	ss_partner_2	ap2	0.340	0.077	4.443	0.000	0.190	0.490
male	das_satis_1	~	ss_self_2	p21	0.195	0.049	3.994	0.000	0.099	0.290
male	das_satis_2	~	ss_partner_2	p21	0.225	0.058	3.905	0.000	0.112	0.338
male	das_satis_1	~	ss_diff_p2	d1	0.083	0.084	0.984	0.325	-0.082	0.248
male	das_satis_2	~	ss_diff_p2	d2	0.022	0.074	0.296	0.767	-0.123	0.166
male	das_coh_2	~	ss_self_2	a2	0.321	0.062	5.163	0.000	0.199	0.443
male	das_coh_1	~	ss_partner_2	ap2	0.125	0.089	1.410	0.159	-0.049	0.298
male	das_coh_1	~	ss_self_2	p21	0.147	0.057	2.568	0.010	0.035	0.258
male	das_coh_2	~	ss_partner_2	p21	0.153	0.060	2.547	0.011	0.035	0.271
male	das_coh_1	~	ss_diff_p2	d1	-0.055	0.091	-0.604	0.546	-0.233	0.123
male	das_coh_2	~	ss_diff_p2	d2	-0.085	0.078	-1.101	0.271	-0.237	0.067
male	das_satis_2	~	sp_self_2	a2	0.404	0.056	7.255	0.000	0.295	0.513
male	das_satis_1	~	sp_partner_2	ap2	0.229	0.069	3.340	0.001	0.095	0.363
male	das_satis_1	~	sp_self_2	p21	0.291	0.051	5.735	0.000	0.192	0.391
male	das_satis_2	~	sp_partner_2	p21	0.280	0.050	5.572	0.000	0.181	0.378
male	das_satis_1	~	sp_diff_p2	d1	0.041	0.077	0.539	0.590	-0.109	0.192
male	das_satis_2	~	sp_diff_p2	d2	0.069	0.069	0.993	0.321	-0.067	0.204
male	das_coh_2	~	sp_self_2	a2	0.247	0.070	3.541	0.000	0.110	0.384
male	das_coh_1	~	sp_partner_2	ap2	0.187	0.076	2.473	0.013	0.039	0.336
male	das_coh_1	~	sp_self_2	p21	0.250	0.061	4.118	0.000	0.131	0.369
male	das_coh_2	~	sp_partner_2	p21	0.213	0.052	4.061	0.000	0.110	0.316
male	das_coh_1	~	sp_diff_p2	d1	0.108	0.080	1.347	0.178	-0.049	0.265
male	das_coh_2	~	sp_diff_p2	d2	0.038	0.078	0.494	0.621	-0.114	0.191
male	das_satis_2	~	ks_prox_self_2	a2	0.525	0.064	8.145	0.000	0.398	0.651
male	das_satis_1	~	ks_prox_partner_2	ap2	0.224	0.064	3.483	0.000	0.098	0.349
male	das_satis_1	~	ks_prox_self_2	p21	0.147	0.061	2.413	0.016	0.028	0.266
male	das_satis_2	~	ks_prox_partner_2	p21	0.111	0.046	2.397	0.017	0.020	0.202
male	das_satis_1	~	ks_prox_diff_p2	d1	0.009	0.084	0.104	0.917	-0.155	0.172
male	das_satis_2	~	ks_prox_diff_p2	d2	0.074	0.079	0.940	0.347	-0.080	0.228
male	das_coh_2	~	ks_prox_self_2	a2	0.258	0.084	3.084	0.002	0.094	0.422
male	das_coh_1	~	ks_prox_partner_2	ap2	0.183	0.069	2.666	0.008	0.049	0.318
male	das_coh_1	~	ks_prox_self_2	p21	0.291	0.070	4.162	0.000	0.154	0.429
male	das_coh_2	~	ks_prox_partner_2	p21	0.200	0.049	4.129	0.000	0.105	0.296
male	das_coh_1	~	ks_prox_diff_p2	d1	0.140	0.084	1.670	0.095	-0.024	0.304
male	das_coh_2	~	ks_prox_diff_p2	d2	0.072	0.089	0.808	0.419	-0.102	0.246
male	das_satis_2	~	ks_sens_self_2	a2	0.233	0.071	3.301	0.001	0.095	0.372
male	das_satis_1	~	ks_sens_partner_2	ap2	0.193	0.065	2.989	0.003	0.067	0.320
male	das_satis_1	~	ks_sens_self_2	p21	0.260	0.058	4.489	0.000	0.146	0.373
male	das_satis_2	~	ks_sens_partner_2	p21	0.235	0.054	4.387	0.000	0.130	0.340
male	das_satis_1	~	ks_sens_diff_p2	d1	0.160	0.076	2.104	0.035	0.011	0.308
male	das_satis_2	~	ks_sens_diff_p2	d2	0.134	0.078	1.724	0.085	-0.018	0.286
male	das_coh_2	~	ks_sens_self_2	a2	0.262	0.076	3.457	0.001	0.113	0.410
male	das_coh_1	~	ks_sens_partner_2	ap2	0.131	0.073	1.790	0.074	-0.012	0.274
male	das_coh_1	~	ks_sens_self_2	p21	0.195	0.066	2.930	0.003	0.064	0.325
male	das_coh_2	~	ks_sens_partner_2	p21	0.158	0.055	2.880	0.004	0.051	0.266
male	das_coh_1	~	ks_sens_diff_p2	d1	0.126	0.080	1.574	0.115	-0.031	0.282
male	das_coh_2	~	ks_sens_diff_p2	d2	0.027	0.080	0.336	0.737	-0.130	0.184
male	das_satis_2	~	ks_coop_self_2	a2	0.245	0.070	3.478	0.001	0.107	0.383
male	das_satis_1	~	ks_coop_partner_2	ap2	0.110	0.065	1.689	0.091	-0.018	0.237
male	das_satis_1	~	ks_coop_self_2	p21	0.315	0.057	5.513	0.000	0.203	0.426
male	das_satis_2	~	ks_coop_partner_2	p21	0.275	0.051	5.446	0.000	0.176	0.375
male	das_satis_1	~	ks_coop_diff_p2	d1	0.231	0.079	2.943	0.003	0.077	0.385
male	das_satis_2	~	ks_coop_diff_p2	d2	0.192	0.079	2.439	0.015	0.038	0.346
male	das_coh_2	~	ks_coop_self_2	a2	0.180	0.081	2.233	0.026	0.022	0.338
male	das_coh_1	~	ks_coop_partner_2	ap2	0.138	0.070	1.969	0.049	0.001	0.276
male	das_coh_1	~	ks_coop_self_2	p21	0.183	0.065	2.811	0.005	0.055	0.311
male	das_coh_2	~	ks_coop_partner_2	p21	0.144	0.053	2.723	0.006	0.040	0.248
male	das_coh_1	~	ks_coop_diff_p2	d1	0.208	0.082	2.546	0.011	0.048	0.367
male	das_coh_2	~	ks_coop_diff_p2	d2	-0.005	0.087	-0.063	0.950	-0.175	0.165
male	das_satis_2	~	ks_comp_self_2	a2	0.115	0.068	1.704	0.088	-0.017	0.248
male	das_satis_1	~	ks_comp_partner_2	ap2	0.033	0.066	0.497	0.619	-0.097	0.162
male	das_satis_1	~	ks_comp_self_2	p21	0.121	0.056	2.155	0.031	0.011	0.231
male	das_satis_2	~	ks_comp_partner_2	p21	0.107	0.050	2.144	0.032	0.009	0.204
male	das_satis_1	~	ks_comp_diff_p2	d1	0.204	0.075	2.705	0.007	0.056	0.352
male	das_satis_2	~	ks_comp_diff_p2	d2	0.181	0.076	2.394	0.017	0.033	0.330
male	das_coh_2	~	ks_comp_self_2	a2	0.152	0.073	2.089	0.037	0.009	0.295
male	das_coh_1	~	ks_comp_partner_2	ap2	0.089	0.072	1.237	0.216	-0.052	0.230
male	das_coh_1	~	ks_comp_self_2	p21	0.020	0.063	0.316	0.752	-0.103	0.143
male	das_coh_2	~	ks_comp_partner_2	p21	0.016	0.050	0.315	0.753	-0.081	0.113
male	das_coh_1	~	ks_comp_diff_p2	d1	-0.009	0.079	-0.116	0.908	-0.164	0.145
male	das_coh_2	~	ks_comp_diff_p2	d2	0.054	0.079	0.685	0.493	-0.100	0.208
male	das_satis_2	~	con_collab_self_2	a2	0.088	0.068	1.289	0.197	-0.046	0.222
male	das_satis_1	~	con_collab_partner_2	ap2	0.079	0.073	1.069	0.285	-0.065	0.223
male	das_satis_1	~	con_collab_self_2	p21	0.017	0.064	0.264	0.792	-0.108	0.142
male	das_satis_2	~	con_collab_partner_2	p21	0.014	0.054	0.263	0.792	-0.092	0.120
male	das_satis_1	~	con_collab_diff_p2	d1	-0.028	0.079	-0.353	0.724	-0.183	0.127
male	das_satis_2	~	con_collab_diff_p2	d2	0.115	0.077	1.488	0.137	-0.036	0.266
male	das_coh_2	~	con_collab_self_2	a2	0.307	0.067	4.557	0.000	0.175	0.439
male	das_coh_1	~	con_collab_partner_2	ap2	0.208	0.081	2.578	0.010	0.050	0.366
male	das_coh_1	~	con_collab_self_2	p21	0.123	0.069	1.784	0.074	-0.012	0.258
male	das_coh_2	~	con_collab_partner_2	p21	0.095	0.054	1.748	0.080	-0.011	0.201
male	das_coh_1	~	con_collab_diff_p2	d1	0.095	0.077	1.236	0.217	-0.055	0.245
male	das_coh_2	~	con_collab_diff_p2	d2	-0.007	0.073	-0.093	0.926	-0.150	0.136
male	das_satis_2	~	con_capit_self_2	a2	-0.286	0.079	-3.641	0.000	-0.440	-0.132
male	das_satis_1	~	con_capit_partner_2	ap2	-0.047	0.067	-0.707	0.479	-0.179	0.084
male	das_satis_1	~	con_capit_self_2	p21	-0.162	0.070	-2.316	0.021	-0.299	-0.025
male	das_satis_2	~	con_capit_partner_2	p21	-0.109	0.047	-2.351	0.019	-0.201	-0.018
male	das_satis_1	~	con_capit_diff_p2	d1	0.018	0.088	0.209	0.834	-0.154	0.190
male	das_satis_2	~	con_capit_diff_p2	d2	0.056	0.089	0.636	0.525	-0.117	0.230
male	das_coh_2	~	con_capit_self_2	a2	-0.219	0.086	-2.536	0.011	-0.388	-0.050
male	das_coh_1	~	con_capit_partner_2	ap2	0.036	0.072	0.506	0.613	-0.105	0.178
male	das_coh_1	~	con_capit_self_2	p21	-0.072	0.076	-0.949	0.343	-0.222	0.077
male	das_coh_2	~	con_capit_partner_2	p21	-0.044	0.047	-0.953	0.341	-0.136	0.047
male	das_coh_1	~	con_capit_diff_p2	d1	-0.111	0.089	-1.253	0.210	-0.284	0.063
male	das_coh_2	~	con_capit_diff_p2	d2	0.014	0.092	0.150	0.880	-0.167	0.195
male	das_satis_2	~	con_stale_self_2	a2	-0.254	0.067	-3.789	0.000	-0.385	-0.122
male	das_satis_1	~	con_stale_partner_2	ap2	-0.183	0.085	-2.154	0.031	-0.349	-0.016
male	das_satis_1	~	con_stale_self_2	p21	-0.184	0.058	-3.151	0.002	-0.298	-0.069
male	das_satis_2	~	con_stale_partner_2	p21	-0.183	0.059	-3.121	0.002	-0.298	-0.068
male	das_satis_1	~	con_stale_diff_p2	d1	0.004	0.096	0.044	0.965	-0.185	0.193
male	das_satis_2	~	con_stale_diff_p2	d2	-0.019	0.088	-0.213	0.832	-0.190	0.153
male	das_coh_2	~	con_stale_self_2	a2	-0.327	0.071	-4.621	0.000	-0.466	-0.188
male	das_coh_1	~	con_stale_partner_2	ap2	-0.198	0.092	-2.158	0.031	-0.379	-0.018
male	das_coh_1	~	con_stale_self_2	p21	-0.062	0.065	-0.952	0.341	-0.189	0.065
male	das_coh_2	~	con_stale_partner_2	p21	-0.056	0.058	-0.956	0.339	-0.169	0.058
male	das_coh_1	~	con_stale_diff_p2	d1	0.153	0.100	1.538	0.124	-0.042	0.348
male	das_coh_2	~	con_stale_diff_p2	d2	0.063	0.088	0.708	0.479	-0.111	0.236
male	das_satis_2	~	con_verba_self_2	a2	-0.213	0.071	-2.994	0.003	-0.352	-0.073
male	das_satis_1	~	con_verba_partner_2	ap2	-0.167	0.074	-2.245	0.025	-0.312	-0.021
male	das_satis_1	~	con_verba_self_2	p21	-0.143	0.058	-2.467	0.014	-0.256	-0.029
male	das_satis_2	~	con_verba_partner_2	p21	-0.153	0.063	-2.418	0.016	-0.276	-0.029
male	das_satis_1	~	con_verba_diff_p2	d1	0.045	0.083	0.537	0.591	-0.118	0.208
male	das_satis_2	~	con_verba_diff_p2	d2	0.066	0.082	0.807	0.420	-0.094	0.226
male	das_coh_2	~	con_verba_self_2	a2	-0.116	0.080	-1.440	0.150	-0.274	0.042
male	das_coh_1	~	con_verba_partner_2	ap2	-0.135	0.082	-1.644	0.100	-0.295	0.026
male	das_coh_1	~	con_verba_self_2	p21	-0.031	0.067	-0.458	0.647	-0.161	0.100
male	das_coh_2	~	con_verba_partner_2	p21	-0.029	0.064	-0.458	0.647	-0.155	0.096
male	das_coh_1	~	con_verba_diff_p2	d1	-0.004	0.085	-0.045	0.964	-0.171	0.163
male	das_coh_2	~	con_verba_diff_p2	d2	-0.015	0.085	-0.175	0.861	-0.181	0.152