Meta Data
Missingness Analysis
Supplemental Analysis - Relationship Duration
Research Question 1. Evidence of Assortative Mating
Research Question 2. Benefit of Assortative Mating
- H5. Baseline benefit
- H6. Longitudinal benefit

library(here)        # for file directory
library(tidyr)       # for pivot_wider
library(rio)         # to load in data
library(dplyr)       # general wrangling
library(brms)        # longitudinal similarity
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
library(RSA)         # for plotting DRSA

# 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

Supplemental Analysis - Relationship Duration

These analyses examined whether relationship duration is associated with relationship quality

cor.test(data_ttp[data_ttp$time==0,]$das_satis_1, 
         data_ttp[data_ttp$time==0,]$P1Amtotalmo_1)

## 
##  Pearson's product-moment correlation
## 
## data:  data_ttp[data_ttp$time == 0, ]$das_satis_1 and data_ttp[data_ttp$time == 0, ]$P1Amtotalmo_1
## t = -0.88838, df = 163, p-value = 0.3756
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
##  -0.2198673  0.0842617
## sample estimates:
##         cor 
## -0.06941552

cor.test(data_ttp[data_ttp$time==0,]$das_satis_2, 
         data_ttp[data_ttp$time==0,]$P1Amtotalmo_2)

## 
##  Pearson's product-moment correlation
## 
## data:  data_ttp[data_ttp$time == 0, ]$das_satis_2 and data_ttp[data_ttp$time == 0, ]$P1Amtotalmo_2
## t = -0.79568, df = 163, p-value = 0.4274
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
##  -0.2129617  0.0914507
## sample estimates:
##         cor 
## -0.06220198

cor.test(data_ttp[data_ttp$time==0,]$das_coh_1, 
         data_ttp[data_ttp$time==0,]$P1Amtotalmo_1)

## 
##  Pearson's product-moment correlation
## 
## data:  data_ttp[data_ttp$time == 0, ]$das_coh_1 and data_ttp[data_ttp$time == 0, ]$P1Amtotalmo_1
## t = 0.4625, df = 163, p-value = 0.6443
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
##  -0.1172296  0.1879464
## sample estimates:
##        cor 
## 0.03620236

cor.test(data_ttp[data_ttp$time==0,]$das_coh_2, 
         data_ttp[data_ttp$time==0,]$P1Amtotalmo_2)

## 
##  Pearson's product-moment correlation
## 
## data:  data_ttp[data_ttp$time == 0, ]$das_coh_2 and data_ttp[data_ttp$time == 0, ]$P1Amtotalmo_2
## t = 0.44082, df = 163, p-value = 0.6599
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
##  -0.1189036  0.1863082
## sample estimates:
##        cor 
## 0.03450684

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, df = data_ttp,
                          dir = paste0(here(), "/results/ttp/brm"))

# view longitudinal trends
h3_results$slopes_tab %>% 
  knitr::kable(caption = "Longitudinal trends in all variables") %>% 
  kableExtra::kable_styling() %>%
  scroll_box(height = "300px")

Longitudinal trends in all variables
	gender	Estimate	Est.Error	l-95% CI	u-95% CI
ecravoid1_time	female	0.0015427	0.0027221	-0.0036099	0.0069115
ecravoid2_time	male	-0.0036119	0.0030563	-0.0096300	0.0022035
ecranx1_time	female	-0.0115817	0.0027535	-0.0171482	-0.0062464
ecranx2_time	male	-0.0078892	0.0029564	-0.0138326	-0.0019586
ssself1_time	female	-0.0047048	0.0020658	-0.0087562	-0.0006760
ssself2_time	male	-0.0096827	0.0030933	-0.0158835	-0.0036338
sspartner1_time	female	-0.0110418	0.0025950	-0.0159422	-0.0058779
sspartner2_time	male	-0.0116861	0.0031614	-0.0176983	-0.0054449
spself1_time	female	-0.0037333	0.0007918	-0.0053523	-0.0021629
spself2_time	male	-0.0053803	0.0009384	-0.0072379	-0.0035970
sppartner1_time	female	-0.0044441	0.0008200	-0.0060577	-0.0028682
sppartner2_time	male	-0.0053540	0.0010798	-0.0074930	-0.0033259
ksproxself1_time	female	-0.0132347	0.0026464	-0.0183742	-0.0079737
ksproxself2_time	male	-0.0057669	0.0031683	-0.0119353	0.0004910
ksproxpartner1_time	female	-0.0122026	0.0030004	-0.0182248	-0.0064321
ksproxpartner2_time	male	-0.0173648	0.0031626	-0.0235115	-0.0111989
kssensself1_time	female	-0.0045565	0.0027069	-0.0097396	0.0008055
kssensself2_time	male	-0.0051676	0.0035787	-0.0120472	0.0021331
kssenspartner1_time	female	-0.0151839	0.0040031	-0.0230359	-0.0074084
kssenspartner2_time	male	-0.0076554	0.0037327	-0.0152399	-0.0003186
kscoopself1_time	female	-0.0019135	0.0029195	-0.0078943	0.0038301
kscoopself2_time	male	0.0018406	0.0027201	-0.0035546	0.0071815
kscooppartner1_time	female	-0.0136943	0.0033451	-0.0202727	-0.0071088
kscooppartner2_time	male	-0.0082857	0.0034249	-0.0148894	-0.0016476
kscompself1_time	female	0.0101881	0.0037800	0.0027759	0.0175213
kscompself2_time	male	0.0055878	0.0029020	-0.0000978	0.0112832
kscomppartner1_time	female	-0.0036667	0.0028928	-0.0093653	0.0019912
kscomppartner2_time	male	0.0010831	0.0032541	-0.0053037	0.0075951
concollabself1_time	female	-0.0194236	0.0038734	-0.0269886	-0.0117172
concollabself2_time	male	-0.0133393	0.0035937	-0.0204619	-0.0063536
concollabpartner1_time	female	-0.0228038	0.0042976	-0.0309891	-0.0142965
concollabpartner2_time	male	-0.0137254	0.0038610	-0.0213701	-0.0062328
concapitself1_time	female	-0.0022768	0.0023557	-0.0069996	0.0023020
concapitself2_time	male	-0.0071312	0.0032213	-0.0136199	-0.0008972
concapitpartner1_time	female	-0.0016827	0.0026828	-0.0070663	0.0034964
concapitpartner2_time	male	-0.0035259	0.0028499	-0.0089395	0.0021250
constaleself1_time	female	0.0012368	0.0023488	-0.0033185	0.0058581
constaleself2_time	male	0.0039686	0.0022742	-0.0005545	0.0084430
constalepartner1_time	female	0.0077453	0.0019489	0.0039378	0.0115591
constalepartner2_time	male	0.0051591	0.0030280	-0.0009567	0.0111302
converbaself1_time	female	0.0002590	0.0027078	-0.0052239	0.0056109
converbaself2_time	male	0.0010096	0.0028803	-0.0045081	0.0065476
converbapartner1_time	female	0.0068432	0.0025499	0.0019322	0.0119145
converbapartner2_time	male	0.0049310	0.0034598	-0.0019379	0.0117697
dassatis1_time	female	-0.0436010	0.0159378	-0.0743973	-0.0131095
dassatis2_time	male	-0.0735333	0.0213277	-0.1152842	-0.0320276
dascoh1_time	female	0.0010206	0.0103448	-0.0199529	0.0212752
dascoh2_time	male	-0.0487398	0.0120659	-0.0718980	-0.0251710

# view longitudinal similarity 
h3_results$results_df %>% 
  knitr::kable(caption = "Bivariate between-partner slope correlations") %>% 
  kableExtra::kable_styling() %>%
  scroll_box(height = "300px")

Bivariate between-partner slope correlations
	Estimate	Est.Error	l-95% CI	u-95% CI
rescor(ecravoid1,ecravoid2)	0.0773191	0.0469181	-0.0163736	0.1703076
rescor(ecranx1,ecranx2)	-0.0213467	0.0454447	-0.1079333	0.0663333
rescor(ssself1,ssself2)	0.0383006	0.0451680	-0.0493881	0.1261034
rescor(sspartner1,sspartner2)	0.2333414	0.0411944	0.1545453	0.3136827
rescor(spself1,spself2)	0.1632788	0.0436706	0.0788630	0.2482189
rescor(sppartner1,sppartner2)	0.2017962	0.0444269	0.1154152	0.2869573
rescor(ksproxself1,ksproxself2)	0.0183258	0.0448982	-0.0702613	0.1039965
rescor(ksproxpartner1,ksproxpartner2)	0.1304908	0.0464848	0.0375868	0.2216443
rescor(kssensself1,kssensself2)	0.0856142	0.0444911	0.0001033	0.1726095
rescor(kssenspartner1,kssenspartner2)	0.1655836	0.0435669	0.0797933	0.2500303
rescor(kscoopself1,kscoopself2)	0.0078299	0.0445242	-0.0771256	0.0947669
rescor(kscooppartner1,kscooppartner2)	0.0480911	0.0448954	-0.0393477	0.1346128
rescor(kscompself1,kscompself2)	-0.0356959	0.0439034	-0.1202630	0.0508163
rescor(kscomppartner1,kscomppartner2)	0.0199002	0.0441599	-0.0663835	0.1053398
rescor(concollabself1,concollabself2)	0.0828502	0.0431174	-0.0037622	0.1645394
rescor(concollabpartner1,concollabpartner2)	0.1718941	0.0433635	0.0884477	0.2539797
rescor(concapitself1,concapitself2)	0.0483955	0.0439775	-0.0373974	0.1336554
rescor(concapitpartner1,concapitpartner2)	0.1513732	0.0420924	0.0662352	0.2331841
rescor(constaleself1,constaleself2)	0.1344451	0.0444128	0.0462801	0.2211216
rescor(constalepartner1,constalepartner2)	0.1373360	0.0431903	0.0504387	0.2196555
rescor(converbaself1,converbaself2)	0.1437047	0.0436302	0.0570199	0.2257511
rescor(converbapartner1,converbapartner2)	0.1937859	0.0428471	0.1105867	0.2755946
rescor(dassatis1,dassatis2)	0.3151897	0.0417672	0.2298839	0.3943791
rescor(dascoh1,dascoh2)	0.2301046	0.0429643	0.1467306	0.3149743

# merge slope data to original dataframe
slope_df <- h3_results$slope_df %>%
  mutate(time = 0)
data_ttp <- merge(data_ttp,
                  slope_df,
                  all = T)

H4. 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
h4_results <- h4_function(perception_list = perception_list,
                          time = 0, df = data_ttp)

h4_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

h4_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

Research Question 2. Benefit of Assortative Mating

H5. 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", "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"
)

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

# run function
drsa_results <- drsa_function(var_list = var_list,
                              quality_list = quality_list,
                              dir = paste0(here(), "/results/ttp/drsa"),
                              df = data_ttp)

# output results
drsa_results$est_df %>% 
  mutate(across(is.numeric, round, digits=2)) %>%
  knitr::kable(caption = "All estimates for DRSA auxiliary parameters") %>% 
  kableExtra::kable_styling() %>%
  scroll_box(height = "300px")

All estimates for DRSA auxiliary parameters
predictor	outcome	label	est.std	se	pvalue	ci.lower	ci.upper
bfi_e	das_satis	a1f	0.12	0.10	0.26	-0.09	0.32
bfi_e	das_satis	a2f	0.07	0.13	0.58	-0.18	0.32
bfi_e	das_satis	a3f	0.06	0.05	0.26	-0.05	0.17
bfi_e	das_satis	a4f	-0.03	0.11	0.75	-0.25	0.18
bfi_e	das_satis	a5f	0.05	0.06	0.36	-0.06	0.17
bfi_e	das_coh	a1f	0.18	0.11	0.11	-0.04	0.39
bfi_e	das_coh	a2f	-0.12	0.11	0.29	-0.35	0.10
bfi_e	das_coh	a3f	0.13	0.07	0.07	-0.01	0.26
bfi_e	das_coh	a4f	-0.14	0.11	0.22	-0.36	0.08
bfi_e	das_coh	a5f	0.02	0.07	0.82	-0.12	0.15
bfi_a	das_satis	a1f	0.19	0.10	0.06	-0.01	0.38
bfi_a	das_satis	a2f	-0.10	0.14	0.48	-0.38	0.18
bfi_a	das_satis	a3f	0.10	0.07	0.13	-0.03	0.23
bfi_a	das_satis	a4f	-0.03	0.10	0.72	-0.22	0.15
bfi_a	das_satis	a5f	0.02	0.07	0.81	-0.12	0.15
bfi_a	das_coh	a1f	0.02	0.11	0.86	-0.19	0.23
bfi_a	das_coh	a2f	0.00	0.13	0.98	-0.26	0.26
bfi_a	das_coh	a3f	0.16	0.08	0.03	0.01	0.31
bfi_a	das_coh	a4f	0.08	0.10	0.39	-0.11	0.27
bfi_a	das_coh	a5f	0.04	0.07	0.61	-0.10	0.17
bfi_c	das_satis	a1f	0.34	0.08	0.00	0.18	0.50
bfi_c	das_satis	a2f	-0.02	0.10	0.85	-0.22	0.18
bfi_c	das_satis	a3f	0.11	0.05	0.02	0.02	0.21
bfi_c	das_satis	a4f	-0.01	0.12	0.90	-0.24	0.21
bfi_c	das_satis	a5f	-0.06	0.05	0.19	-0.16	0.03
bfi_c	das_coh	a1f	0.20	0.10	0.05	0.00	0.40
bfi_c	das_coh	a2f	0.03	0.12	0.81	-0.21	0.26
bfi_c	das_coh	a3f	0.15	0.06	0.02	0.02	0.27
bfi_c	das_coh	a4f	0.13	0.09	0.15	-0.05	0.32
bfi_c	das_coh	a5f	-0.04	0.06	0.50	-0.15	0.07
bfi_n	das_satis	a1f	-0.37	0.08	0.00	-0.52	-0.22
bfi_n	das_satis	a2f	0.06	0.15	0.71	-0.24	0.35
bfi_n	das_satis	a3f	-0.02	0.06	0.73	-0.14	0.10
bfi_n	das_satis	a4f	-0.09	0.13	0.47	-0.34	0.16
bfi_n	das_satis	a5f	-0.08	0.10	0.39	-0.28	0.11
bfi_n	das_coh	a1f	-0.08	0.11	0.48	-0.28	0.13
bfi_n	das_coh	a2f	0.11	0.15	0.46	-0.19	0.41
bfi_n	das_coh	a3f	-0.15	0.07	0.03	-0.28	-0.02
bfi_n	das_coh	a4f	-0.05	0.10	0.64	-0.24	0.15
bfi_n	das_coh	a5f	-0.02	0.06	0.81	-0.14	0.11
bfi_o	das_satis	a1f	0.05	0.08	0.53	-0.11	0.21
bfi_o	das_satis	a2f	0.26	0.09	0.01	0.07	0.44
bfi_o	das_satis	a3f	-0.03	0.05	0.59	-0.12	0.07
bfi_o	das_satis	a4f	0.00	0.18	1.00	-0.35	0.36
bfi_o	das_satis	a5f	-0.01	0.05	0.80	-0.11	0.08
bfi_o	das_coh	a1f	0.23	0.10	0.02	0.04	0.43
bfi_o	das_coh	a2f	0.20	0.09	0.03	0.02	0.37
bfi_o	das_coh	a3f	0.23	0.07	0.00	0.09	0.38
bfi_o	das_coh	a4f	0.18	0.16	0.26	-0.13	0.49
bfi_o	das_coh	a5f	0.08	0.06	0.18	-0.04	0.19
ecr_avoid	das_satis	a1f	-0.52	0.10	0.00	-0.71	-0.33
ecr_avoid	das_satis	a2f	0.11	0.12	0.38	-0.13	0.34
ecr_avoid	das_satis	a3f	-0.23	0.07	0.00	-0.37	-0.09
ecr_avoid	das_satis	a4f	0.35	0.24	0.14	-0.12	0.81
ecr_avoid	das_satis	a5f	0.07	0.08	0.38	-0.08	0.22
ecr_avoid	das_coh	a1f	-0.39	0.11	0.00	-0.59	-0.18
ecr_avoid	das_coh	a2f	0.13	0.11	0.23	-0.09	0.36
ecr_avoid	das_coh	a3f	-0.21	0.07	0.00	-0.34	-0.07
ecr_avoid	das_coh	a4f	0.22	0.17	0.21	-0.12	0.56
ecr_avoid	das_coh	a5f	0.01	0.07	0.85	-0.12	0.15
ecr_anx	das_satis	a1f	-0.20	0.09	0.02	-0.38	-0.03
ecr_anx	das_satis	a2f	-0.11	0.14	0.44	-0.39	0.17
ecr_anx	das_satis	a3f	0.06	0.06	0.28	-0.05	0.17
ecr_anx	das_satis	a4f	-0.32	0.18	0.08	-0.68	0.04
ecr_anx	das_satis	a5f	-0.05	0.06	0.40	-0.18	0.07
ecr_anx	das_coh	a1f	-0.19	0.08	0.02	-0.35	-0.03
ecr_anx	das_coh	a2f	0.06	0.15	0.69	-0.23	0.34
ecr_anx	das_coh	a3f	-0.24	0.09	0.01	-0.40	-0.07
ecr_anx	das_coh	a4f	-0.18	0.18	0.33	-0.54	0.18
ecr_anx	das_coh	a5f	0.08	0.06	0.23	-0.05	0.20
ss_self	das_satis	a1f	0.50	0.09	0.00	0.32	0.69
ss_self	das_satis	a2f	-0.31	0.18	0.09	-0.67	0.04
ss_self	das_satis	a3f	0.18	0.06	0.00	0.06	0.31
ss_self	das_satis	a4f	-0.34	0.22	0.13	-0.77	0.10
ss_self	das_satis	a5f	-0.06	0.13	0.61	-0.31	0.18
ss_self	das_coh	a1f	0.39	0.11	0.00	0.17	0.61
ss_self	das_coh	a2f	-0.13	0.13	0.34	-0.39	0.14
ss_self	das_coh	a3f	0.34	0.09	0.00	0.16	0.51
ss_self	das_coh	a4f	-0.33	0.15	0.03	-0.63	-0.03
ss_self	das_coh	a5f	0.13	0.09	0.13	-0.04	0.30
sp_self	das_satis	a1f	0.45	0.08	0.00	0.28	0.61
sp_self	das_satis	a2f	-0.23	0.15	0.12	-0.52	0.06
sp_self	das_satis	a3f	0.16	0.06	0.01	0.04	0.28
sp_self	das_satis	a4f	0.04	0.19	0.83	-0.33	0.41
sp_self	das_satis	a5f	-0.07	0.05	0.17	-0.18	0.03
sp_self	das_coh	a1f	0.41	0.09	0.00	0.23	0.59
sp_self	das_coh	a2f	-0.11	0.15	0.49	-0.41	0.19
sp_self	das_coh	a3f	0.13	0.10	0.21	-0.07	0.33
sp_self	das_coh	a4f	-0.06	0.18	0.74	-0.40	0.29
sp_self	das_coh	a5f	0.05	0.09	0.59	-0.13	0.23
ks_prox_self	das_satis	a1f	0.57	0.11	0.00	0.36	0.78
ks_prox_self	das_satis	a2f	-0.07	0.18	0.69	-0.42	0.28
ks_prox_self	das_satis	a3f	0.25	0.07	0.00	0.11	0.39
ks_prox_self	das_satis	a4f	-0.03	0.22	0.88	-0.46	0.40
ks_prox_self	das_satis	a5f	0.02	0.07	0.83	-0.13	0.16
ks_prox_self	das_coh	a1f	0.62	0.11	0.00	0.41	0.83
ks_prox_self	das_coh	a2f	0.34	0.17	0.05	0.01	0.67
ks_prox_self	das_coh	a3f	0.22	0.11	0.05	0.00	0.43
ks_prox_self	das_coh	a4f	-0.02	0.14	0.89	-0.29	0.25
ks_prox_self	das_coh	a5f	0.12	0.11	0.27	-0.09	0.33
ks_sens_self	das_satis	a1f	0.50	0.08	0.00	0.34	0.66
ks_sens_self	das_satis	a2f	-0.04	0.11	0.74	-0.25	0.18
ks_sens_self	das_satis	a3f	0.08	0.06	0.17	-0.04	0.20
ks_sens_self	das_satis	a4f	0.35	0.12	0.00	0.11	0.59
ks_sens_self	das_satis	a5f	0.02	0.05	0.71	-0.09	0.13
ks_sens_self	das_coh	a1f	0.49	0.08	0.00	0.35	0.64
ks_sens_self	das_coh	a2f	-0.02	0.11	0.87	-0.24	0.20
ks_sens_self	das_coh	a3f	0.50	0.11	0.00	0.27	0.72
ks_sens_self	das_coh	a4f	-0.06	0.18	0.73	-0.43	0.30
ks_sens_self	das_coh	a5f	0.19	0.13	0.15	-0.07	0.44
ks_sens_self	das_coh	a1m	0.54	0.10	0.00	0.34	0.73
ks_sens_self	das_coh	a2m	0.09	0.08	0.27	-0.07	0.24
ks_sens_self	das_coh	a3m	-0.04	0.14	0.80	-0.31	0.24
ks_sens_self	das_coh	a4m	0.40	0.17	0.02	0.07	0.73
ks_sens_self	das_coh	a5m	0.08	0.14	0.58	-0.20	0.36
ks_coop_self	das_satis	a1f	0.42	0.09	0.00	0.25	0.59
ks_coop_self	das_satis	a2f	0.04	0.10	0.68	-0.16	0.25
ks_coop_self	das_satis	a3f	0.10	0.05	0.04	0.00	0.19
ks_coop_self	das_satis	a4f	0.26	0.10	0.01	0.06	0.45
ks_coop_self	das_satis	a5f	0.09	0.06	0.12	-0.03	0.21
ks_coop_self	das_coh	a1f	0.35	0.08	0.00	0.19	0.51
ks_coop_self	das_coh	a2f	0.23	0.11	0.05	0.00	0.45
ks_coop_self	das_coh	a3f	0.16	0.08	0.05	0.00	0.32
ks_coop_self	das_coh	a4f	0.08	0.12	0.51	-0.16	0.32
ks_coop_self	das_coh	a5f	0.00	0.07	0.99	-0.14	0.14
ks_comp_self	das_satis	a1f	0.38	0.10	0.00	0.19	0.57
ks_comp_self	das_satis	a2f	-0.06	0.17	0.73	-0.40	0.28
ks_comp_self	das_satis	a3f	0.11	0.06	0.07	-0.01	0.24
ks_comp_self	das_satis	a4f	0.08	0.12	0.46	-0.14	0.31
ks_comp_self	das_satis	a5f	0.05	0.05	0.28	-0.04	0.14
ks_comp_self	das_coh	a1f	0.37	0.10	0.00	0.18	0.56
ks_comp_self	das_coh	a2f	-0.02	0.15	0.87	-0.31	0.27
ks_comp_self	das_coh	a3f	0.12	0.07	0.10	-0.02	0.26
ks_comp_self	das_coh	a4f	0.06	0.11	0.56	-0.15	0.27
ks_comp_self	das_coh	a5f	-0.02	0.07	0.74	-0.16	0.11
con_collab_self	das_satis	a1f	0.35	0.11	0.00	0.13	0.57
con_collab_self	das_satis	a2f	0.45	0.11	0.00	0.24	0.66
con_collab_self	das_satis	a3f	0.08	0.07	0.27	-0.06	0.23
con_collab_self	das_satis	a4f	0.52	0.10	0.00	0.31	0.72
con_collab_self	das_satis	a5f	-0.04	0.06	0.46	-0.15	0.07
con_collab_self	das_coh	a1f	0.70	0.08	0.00	0.55	0.85
con_collab_self	das_coh	a2f	0.37	0.10	0.00	0.18	0.56
con_collab_self	das_coh	a3f	0.26	0.08	0.00	0.09	0.42
con_collab_self	das_coh	a4f	0.51	0.10	0.00	0.32	0.70
con_collab_self	das_coh	a5f	0.03	0.08	0.70	-0.12	0.18
con_capit_self	das_satis	a1f	-0.54	0.11	0.00	-0.75	-0.33
con_capit_self	das_satis	a2f	-0.05	0.20	0.79	-0.45	0.34
con_capit_self	das_satis	a3f	-0.06	0.08	0.46	-0.20	0.09
con_capit_self	das_satis	a4f	0.14	0.15	0.37	-0.16	0.44
con_capit_self	das_satis	a5f	-0.15	0.09	0.08	-0.32	0.02
con_capit_self	das_coh	a1f	-0.30	0.13	0.02	-0.55	-0.05
con_capit_self	das_coh	a2f	0.01	0.13	0.95	-0.24	0.26
con_capit_self	das_coh	a3f	0.12	0.09	0.19	-0.06	0.29
con_capit_self	das_coh	a4f	-0.06	0.14	0.70	-0.34	0.23
con_capit_self	das_coh	a5f	-0.23	0.09	0.01	-0.40	-0.06
con_stale_self	das_satis	a1f	-0.65	0.16	0.00	-0.97	-0.33
con_stale_self	das_satis	a2f	0.02	0.29	0.95	-0.56	0.59
con_stale_self	das_satis	a3f	-0.08	0.14	0.57	-0.35	0.19
con_stale_self	das_satis	a4f	-0.02	0.28	0.93	-0.58	0.53
con_stale_self	das_satis	a5f	-0.20	0.21	0.33	-0.61	0.21
con_stale_self	das_coh	a1f	-0.50	0.10	0.00	-0.70	-0.29
con_stale_self	das_coh	a2f	0.13	0.13	0.31	-0.12	0.37
con_stale_self	das_coh	a3f	-0.14	0.11	0.20	-0.35	0.07
con_stale_self	das_coh	a4f	0.09	0.12	0.46	-0.15	0.34
con_stale_self	das_coh	a5f	-0.06	0.16	0.70	-0.37	0.25
con_verba_self	das_satis	a1f	-0.35	0.12	0.01	-0.59	-0.10
con_verba_self	das_satis	a2f	-0.07	0.16	0.67	-0.39	0.25
con_verba_self	das_satis	a3f	-0.20	0.09	0.02	-0.38	-0.03
con_verba_self	das_satis	a4f	-0.41	0.28	0.15	-0.97	0.14
con_verba_self	das_satis	a5f	-0.09	0.14	0.51	-0.36	0.18
con_verba_self	das_coh	a1f	-0.20	0.10	0.06	-0.40	0.01
con_verba_self	das_coh	a2f	-0.04	0.11	0.68	-0.25	0.16
con_verba_self	das_coh	a3f	-0.11	0.10	0.29	-0.31	0.09
con_verba_self	das_coh	a4f	-0.28	0.21	0.19	-0.69	0.14
con_verba_self	das_coh	a5f	0.01	0.10	0.89	-0.19	0.21

drsa_results$results_df %>% 
  knitr::kable(caption = "DRSA congruence results") %>% 
  kableExtra::kable_styling() %>%
  scroll_box(height = "300px")

DRSA congruence results
predictor	outcome	model	sex	actor_partner	broad_congruence	strict_congruence
bfi_e	das_satis	reduced	NA	FALSE	FALSE	FALSE
bfi_e	das_coh	reduced	NA	FALSE	FALSE	FALSE
bfi_a	das_satis	reduced	NA	FALSE	FALSE	FALSE
bfi_a	das_coh	reduced	NA	FALSE	FALSE	FALSE
bfi_c	das_satis	reduced	NA	TRUE	FALSE	FALSE
bfi_c	das_coh	reduced	NA	FALSE	FALSE	FALSE
bfi_n	das_satis	reduced	NA	TRUE	FALSE	FALSE
bfi_n	das_coh	reduced	NA	FALSE	FALSE	FALSE
bfi_o	das_satis	reduced	NA	TRUE	FALSE	FALSE
bfi_o	das_coh	reduced	NA	TRUE	FALSE	FALSE
ecr_avoid	das_satis	reduced	NA	TRUE	FALSE	FALSE
ecr_avoid	das_coh	reduced	NA	TRUE	FALSE	FALSE
ecr_anx	das_satis	reduced	NA	TRUE	FALSE	FALSE
ecr_anx	das_coh	reduced	NA	TRUE	FALSE	FALSE
ss_self	das_satis	reduced	NA	TRUE	FALSE	FALSE
ss_self	das_coh	reduced	NA	TRUE	FALSE	FALSE
sp_self	das_satis	reduced	NA	TRUE	FALSE	FALSE
sp_self	das_coh	reduced	NA	TRUE	FALSE	FALSE
ks_prox_self	das_satis	reduced	NA	TRUE	FALSE	FALSE
ks_prox_self	das_coh	reduced	NA	TRUE	FALSE	FALSE
ks_sens_self	das_satis	reduced	NA	TRUE	FALSE	FALSE
ks_sens_self	das_coh	full	female	TRUE	FALSE	FALSE
ks_sens_self	das_coh	full	male	TRUE	FALSE	FALSE
ks_coop_self	das_satis	reduced	NA	TRUE	FALSE	FALSE
ks_coop_self	das_coh	reduced	NA	TRUE	FALSE	FALSE
ks_comp_self	das_satis	reduced	NA	TRUE	FALSE	FALSE
ks_comp_self	das_coh	reduced	NA	TRUE	FALSE	FALSE
con_collab_self	das_satis	reduced	NA	TRUE	FALSE	FALSE
con_collab_self	das_coh	reduced	NA	TRUE	FALSE	FALSE
con_capit_self	das_satis	reduced	NA	TRUE	FALSE	FALSE
con_capit_self	das_coh	reduced	NA	TRUE	FALSE	FALSE
con_stale_self	das_satis	reduced	NA	TRUE	FALSE	FALSE
con_stale_self	das_coh	reduced	NA	TRUE	FALSE	FALSE
con_verba_self	das_satis	reduced	NA	TRUE	FALSE	FALSE
con_verba_self	das_coh	reduced	NA	FALSE	FALSE	FALSE

H6. Longitudinal benefit

Longitudinally, partner similarity in change trajectories of self-reported personality is associated with higher average relationship quality.

# create dataframe of average relationship quality across time
data_ttp_drsalong <- data_ttp %>%
  group_by(couple) %>%
  mutate(das_coh_avg_1 = mean(das_coh_1, na.rm=T),
         das_coh_avg_2 = mean(das_coh_2, na.rm=T),
         das_satis_avg_1 = mean(das_satis_1, na.rm=T),
         das_satis_avg_2 = mean(das_satis_2, na.rm=T)) %>%
  ungroup() %>%
  filter(time == 0)

# params for longitudinal drsa models
var_list <- paste0("slope_",
                   c("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"))

quality_list <- c("das_satis_avg", "das_coh_avg")

# run function
drsa_long_results <- drsa_function(var_list = var_list,
                                   quality_list = quality_list,
                                   dir = paste0(here(), "/results/ttp/drsa_long"),
                                   df = data_ttp_drsalong,
                                   scale = T)

# output results
drsa_long_results$est_df %>% 
  mutate(across(is.numeric, round, digits=2)) %>%
  knitr::kable(caption = "All estimates for DRSA auxiliary parameters") %>% 
  kableExtra::kable_styling() %>%
  scroll_box(height = "300px")

All estimates for DRSA auxiliary parameters
predictor	outcome	label	est.std	se	pvalue	ci.lower	ci.upper
slope_ecr_avoid	das_satis_avg	a1f	-0.43	0.09	0.00	-0.61	-0.25
slope_ecr_avoid	das_satis_avg	a2f	0.01	0.12	0.95	-0.22	0.24
slope_ecr_avoid	das_satis_avg	a3f	-0.18	0.06	0.00	-0.29	-0.07
slope_ecr_avoid	das_satis_avg	a4f	0.21	0.10	0.03	0.02	0.39
slope_ecr_avoid	das_satis_avg	a5f	0.00	0.06	0.96	-0.11	0.11
slope_ecr_avoid	das_coh_avg	a1f	-0.35	0.12	0.00	-0.58	-0.12
slope_ecr_avoid	das_coh_avg	a2f	-0.01	0.20	0.96	-0.41	0.39
slope_ecr_avoid	das_coh_avg	a3f	-0.13	0.08	0.08	-0.28	0.01
slope_ecr_avoid	das_coh_avg	a4f	0.15	0.13	0.25	-0.10	0.40
slope_ecr_avoid	das_coh_avg	a5f	0.03	0.07	0.66	-0.11	0.18
slope_ecr_anx	das_satis_avg	a1f	-0.19	0.09	0.03	-0.36	-0.02
slope_ecr_anx	das_satis_avg	a2f	0.36	0.15	0.01	0.07	0.65
slope_ecr_anx	das_satis_avg	a3f	-0.02	0.05	0.71	-0.12	0.08
slope_ecr_anx	das_satis_avg	a4f	0.04	0.12	0.73	-0.19	0.27
slope_ecr_anx	das_satis_avg	a5f	-0.08	0.06	0.19	-0.20	0.04
slope_ecr_anx	das_coh_avg	a1f	-0.04	0.09	0.64	-0.21	0.13
slope_ecr_anx	das_coh_avg	a2f	0.11	0.09	0.26	-0.08	0.29
slope_ecr_anx	das_coh_avg	a3f	-0.11	0.05	0.04	-0.22	-0.01
slope_ecr_anx	das_coh_avg	a4f	-0.13	0.12	0.30	-0.37	0.11
slope_ecr_anx	das_coh_avg	a5f	0.04	0.06	0.53	-0.09	0.17
slope_ss_self	das_satis_avg	a1f	0.52	0.10	0.00	0.33	0.72
slope_ss_self	das_satis_avg	a2f	-0.10	0.14	0.49	-0.37	0.18
slope_ss_self	das_satis_avg	a3f	0.15	0.08	0.06	0.00	0.30
slope_ss_self	das_satis_avg	a4f	-0.21	0.29	0.47	-0.79	0.36
slope_ss_self	das_satis_avg	a5f	-0.06	0.09	0.49	-0.24	0.12
slope_ss_self	das_coh_avg	a1f	0.34	0.10	0.00	0.15	0.53
slope_ss_self	das_coh_avg	a2f	-0.24	0.11	0.03	-0.46	-0.03
slope_ss_self	das_coh_avg	a3f	0.15	0.06	0.02	0.03	0.27
slope_ss_self	das_coh_avg	a4f	-0.28	0.16	0.07	-0.58	0.03
slope_ss_self	das_coh_avg	a5f	0.06	0.07	0.39	-0.08	0.21
slope_sp_self	das_satis_avg	a1f	0.48	0.11	0.00	0.26	0.71
slope_sp_self	das_satis_avg	a2f	-0.21	0.12	0.09	-0.44	0.03
slope_sp_self	das_satis_avg	a3f	0.05	0.15	0.72	-0.24	0.34
slope_sp_self	das_satis_avg	a4f	-0.22	0.41	0.60	-1.03	0.59
slope_sp_self	das_satis_avg	a5f	-0.06	0.15	0.67	-0.37	0.24
slope_sp_self	das_satis_avg	a1m	0.65	0.08	0.00	0.49	0.82
slope_sp_self	das_satis_avg	a2m	-0.12	0.15	0.44	-0.41	0.18
slope_sp_self	das_satis_avg	a3m	-0.36	0.11	0.00	-0.58	-0.15
slope_sp_self	das_satis_avg	a4m	0.07	0.31	0.82	-0.54	0.68
slope_sp_self	das_satis_avg	a5m	0.16	0.14	0.25	-0.12	0.45
slope_sp_self	das_coh_avg	a1f	0.58	0.11	0.00	0.36	0.80
slope_sp_self	das_coh_avg	a2f	0.01	0.12	0.96	-0.22	0.23
slope_sp_self	das_coh_avg	a3f	0.32	0.09	0.00	0.14	0.49
slope_sp_self	das_coh_avg	a4f	-0.12	0.25	0.64	-0.61	0.38
slope_sp_self	das_coh_avg	a5f	0.07	0.09	0.47	-0.12	0.25
slope_ks_prox_self	das_satis_avg	a1f	0.42	0.11	0.00	0.20	0.64
slope_ks_prox_self	das_satis_avg	a2f	-0.11	0.11	0.33	-0.32	0.11
slope_ks_prox_self	das_satis_avg	a3f	0.11	0.06	0.06	0.00	0.22
slope_ks_prox_self	das_satis_avg	a4f	-0.38	0.21	0.08	-0.80	0.04
slope_ks_prox_self	das_satis_avg	a5f	-0.11	0.08	0.18	-0.26	0.05
slope_ks_prox_self	das_coh_avg	a1f	0.19	0.11	0.08	-0.02	0.41
slope_ks_prox_self	das_coh_avg	a2f	-0.37	0.14	0.01	-0.65	-0.09
slope_ks_prox_self	das_coh_avg	a3f	0.14	0.09	0.12	-0.03	0.31
slope_ks_prox_self	das_coh_avg	a4f	-0.42	0.15	0.00	-0.72	-0.13
slope_ks_prox_self	das_coh_avg	a5f	0.09	0.08	0.25	-0.06	0.25
slope_ks_sens_self	das_satis_avg	a1f	0.10	0.16	0.54	-0.22	0.42
slope_ks_sens_self	das_satis_avg	a2f	-0.46	0.28	0.10	-1.01	0.08
slope_ks_sens_self	das_satis_avg	a3f	0.02	0.04	0.66	-0.07	0.11
slope_ks_sens_self	das_satis_avg	a4f	-0.20	0.15	0.17	-0.49	0.09
slope_ks_sens_self	das_satis_avg	a5f	0.01	0.05	0.85	-0.09	0.11
slope_ks_sens_self	das_coh_avg	a1f	-0.16	0.14	0.24	-0.43	0.11
slope_ks_sens_self	das_coh_avg	a2f	-0.38	0.20	0.05	-0.77	0.00
slope_ks_sens_self	das_coh_avg	a3f	-0.27	0.09	0.00	-0.45	-0.10
slope_ks_sens_self	das_coh_avg	a4f	-0.07	0.13	0.57	-0.32	0.17
slope_ks_sens_self	das_coh_avg	a5f	0.25	0.12	0.04	0.01	0.49
slope_ks_sens_self	das_coh_avg	a1m	0.04	0.14	0.79	-0.24	0.32
slope_ks_sens_self	das_coh_avg	a2m	-0.56	0.23	0.02	-1.01	-0.10
slope_ks_sens_self	das_coh_avg	a3m	-0.28	0.09	0.00	-0.46	-0.10
slope_ks_sens_self	das_coh_avg	a4m	-0.02	0.09	0.82	-0.20	0.15
slope_ks_sens_self	das_coh_avg	a5m	0.07	0.11	0.51	-0.14	0.28
slope_ks_coop_self	das_satis_avg	a1f	0.29	0.09	0.00	0.11	0.48
slope_ks_coop_self	das_satis_avg	a2f	0.11	0.09	0.23	-0.07	0.29
slope_ks_coop_self	das_satis_avg	a3f	0.03	0.05	0.52	-0.07	0.14
slope_ks_coop_self	das_satis_avg	a4f	0.09	0.16	0.55	-0.21	0.40
slope_ks_coop_self	das_satis_avg	a5f	-0.04	0.05	0.46	-0.15	0.07
slope_ks_coop_self	das_coh_avg	a1f	0.10	0.08	0.25	-0.07	0.26
slope_ks_coop_self	das_coh_avg	a2f	0.12	0.10	0.23	-0.07	0.31
slope_ks_coop_self	das_coh_avg	a3f	0.04	0.07	0.52	-0.09	0.17
slope_ks_coop_self	das_coh_avg	a4f	0.23	0.13	0.09	-0.03	0.49
slope_ks_coop_self	das_coh_avg	a5f	0.01	0.05	0.85	-0.10	0.12
slope_ks_comp_self	das_satis_avg	a1f	0.15	0.09	0.09	-0.02	0.32
slope_ks_comp_self	das_satis_avg	a2f	0.14	0.08	0.09	-0.02	0.30
slope_ks_comp_self	das_satis_avg	a3f	0.07	0.06	0.23	-0.04	0.18
slope_ks_comp_self	das_satis_avg	a4f	0.10	0.16	0.53	-0.22	0.42
slope_ks_comp_self	das_satis_avg	a5f	0.12	0.07	0.10	-0.02	0.27
slope_ks_comp_self	das_coh_avg	a1f	-0.03	0.09	0.77	-0.21	0.15
slope_ks_comp_self	das_coh_avg	a2f	-0.01	0.11	0.96	-0.22	0.21
slope_ks_comp_self	das_coh_avg	a3f	0.12	0.06	0.05	0.00	0.24
slope_ks_comp_self	das_coh_avg	a4f	0.09	0.11	0.42	-0.13	0.32
slope_ks_comp_self	das_coh_avg	a5f	0.15	0.06	0.01	0.04	0.26
slope_con_collab_self	das_satis_avg	a1f	0.28	0.08	0.00	0.13	0.44
slope_con_collab_self	das_satis_avg	a2f	0.07	0.20	0.72	-0.31	0.45
slope_con_collab_self	das_satis_avg	a3f	0.07	0.06	0.27	-0.05	0.18
slope_con_collab_self	das_satis_avg	a4f	0.33	0.10	0.00	0.13	0.54
slope_con_collab_self	das_satis_avg	a5f	0.11	0.06	0.09	-0.02	0.24
slope_con_collab_self	das_coh_avg	a1f	0.40	0.08	0.00	0.25	0.56
slope_con_collab_self	das_coh_avg	a2f	0.06	0.15	0.67	-0.22	0.35
slope_con_collab_self	das_coh_avg	a3f	0.25	0.07	0.00	0.12	0.38
slope_con_collab_self	das_coh_avg	a4f	0.24	0.16	0.12	-0.06	0.55
slope_con_collab_self	das_coh_avg	a5f	0.08	0.09	0.37	-0.10	0.26
slope_con_capit_self	das_satis_avg	a1f	-0.25	0.12	0.03	-0.48	-0.02
slope_con_capit_self	das_satis_avg	a2f	0.02	0.14	0.89	-0.26	0.30
slope_con_capit_self	das_satis_avg	a3f	-0.04	0.14	0.80	-0.32	0.24
slope_con_capit_self	das_satis_avg	a4f	-0.29	0.20	0.14	-0.68	0.09
slope_con_capit_self	das_satis_avg	a5f	-0.04	0.15	0.80	-0.34	0.26
slope_con_capit_self	das_satis_avg	a1m	-0.36	0.11	0.00	-0.57	-0.15
slope_con_capit_self	das_satis_avg	a2m	-0.13	0.19	0.49	-0.50	0.24
slope_con_capit_self	das_satis_avg	a3m	0.20	0.12	0.09	-0.03	0.42
slope_con_capit_self	das_satis_avg	a4m	-0.28	0.20	0.15	-0.67	0.10
slope_con_capit_self	das_satis_avg	a5m	0.21	0.14	0.14	-0.07	0.49
slope_con_capit_self	das_coh_avg	a1f	-0.21	0.10	0.04	-0.40	-0.01
slope_con_capit_self	das_coh_avg	a2f	-0.16	0.14	0.25	-0.43	0.11
slope_con_capit_self	das_coh_avg	a3f	-0.02	0.06	0.79	-0.13	0.10
slope_con_capit_self	das_coh_avg	a4f	-0.39	0.12	0.00	-0.63	-0.14
slope_con_capit_self	das_coh_avg	a5f	-0.17	0.05	0.00	-0.27	-0.08
slope_con_stale_self	das_satis_avg	a1f	-0.50	0.15	0.00	-0.80	-0.21
slope_con_stale_self	das_satis_avg	a2f	0.07	0.44	0.87	-0.79	0.94
slope_con_stale_self	das_satis_avg	a3f	0.22	0.15	0.14	-0.07	0.51
slope_con_stale_self	das_satis_avg	a4f	0.00	0.23	0.99	-0.46	0.46
slope_con_stale_self	das_satis_avg	a5f	-0.30	0.21	0.14	-0.71	0.10
slope_con_stale_self	das_satis_avg	a1m	-0.64	0.11	0.00	-0.87	-0.42
slope_con_stale_self	das_satis_avg	a2m	-0.15	0.36	0.68	-0.85	0.55
slope_con_stale_self	das_satis_avg	a3m	0.38	0.14	0.01	0.11	0.65
slope_con_stale_self	das_satis_avg	a4m	0.10	0.21	0.64	-0.31	0.51
slope_con_stale_self	das_satis_avg	a5m	0.02	0.24	0.92	-0.44	0.49
slope_con_stale_self	das_coh_avg	a1f	-0.22	0.13	0.09	-0.48	0.04
slope_con_stale_self	das_coh_avg	a2f	-0.25	0.16	0.13	-0.57	0.07
slope_con_stale_self	das_coh_avg	a3f	0.56	0.11	0.00	0.35	0.77
slope_con_stale_self	das_coh_avg	a4f	0.13	0.12	0.28	-0.11	0.38
slope_con_stale_self	das_coh_avg	a5f	-0.39	0.12	0.00	-0.63	-0.15
slope_con_stale_self	das_coh_avg	a1m	-0.26	0.14	0.08	-0.54	0.03
slope_con_stale_self	das_coh_avg	a2m	-0.37	0.20	0.06	-0.77	0.02
slope_con_stale_self	das_coh_avg	a3m	0.30	0.16	0.05	0.00	0.61
slope_con_stale_self	das_coh_avg	a4m	0.09	0.20	0.65	-0.30	0.48
slope_con_stale_self	das_coh_avg	a5m	-0.02	0.16	0.89	-0.34	0.30
slope_con_verba_self	das_satis_avg	a1f	-0.66	0.11	0.00	-0.87	-0.45
slope_con_verba_self	das_satis_avg	a2f	0.24	0.13	0.07	-0.02	0.51
slope_con_verba_self	das_satis_avg	a3f	-0.24	0.15	0.12	-0.54	0.06
slope_con_verba_self	das_satis_avg	a4f	0.07	0.18	0.70	-0.29	0.42
slope_con_verba_self	das_satis_avg	a5f	-0.03	0.14	0.82	-0.30	0.24
slope_con_verba_self	das_satis_avg	a1m	-0.65	0.08	0.00	-0.80	-0.49
slope_con_verba_self	das_satis_avg	a2m	-0.07	0.25	0.77	-0.55	0.41
slope_con_verba_self	das_satis_avg	a3m	0.13	0.15	0.39	-0.17	0.43
slope_con_verba_self	das_satis_avg	a4m	0.00	0.17	0.99	-0.33	0.33
slope_con_verba_self	das_satis_avg	a5m	0.10	0.15	0.49	-0.18	0.38
slope_con_verba_self	das_coh_avg	a1f	-0.35	0.12	0.00	-0.59	-0.11
slope_con_verba_self	das_coh_avg	a2f	0.10	0.21	0.65	-0.31	0.51
slope_con_verba_self	das_coh_avg	a3f	-0.04	0.08	0.67	-0.20	0.13
slope_con_verba_self	das_coh_avg	a4f	0.05	0.16	0.73	-0.25	0.36
slope_con_verba_self	das_coh_avg	a5f	-0.08	0.08	0.28	-0.23	0.07

drsa_long_results$results_df %>% 
  knitr::kable(caption = "DRSA congruence results") %>% 
  kableExtra::kable_styling() %>%
  scroll_box(height = "300px")

DRSA congruence results
predictor	outcome	model	sex	actor_partner	broad_congruence	strict_congruence
slope_ecr_avoid	das_satis_avg	reduced	NA	TRUE	FALSE	FALSE
slope_ecr_avoid	das_coh_avg	reduced	NA	TRUE	FALSE	FALSE
slope_ecr_anx	das_satis_avg	reduced	NA	TRUE	FALSE	FALSE
slope_ecr_anx	das_coh_avg	reduced	NA	FALSE	FALSE	FALSE
slope_ss_self	das_satis_avg	reduced	NA	TRUE	FALSE	FALSE
slope_ss_self	das_coh_avg	reduced	NA	TRUE	FALSE	FALSE
slope_sp_self	das_satis_avg	full	female	TRUE	FALSE	FALSE
slope_sp_self	das_satis_avg	full	male	TRUE	FALSE	FALSE
slope_sp_self	das_coh_avg	reduced	NA	TRUE	FALSE	FALSE
slope_ks_prox_self	das_satis_avg	reduced	NA	TRUE	FALSE	FALSE
slope_ks_prox_self	das_coh_avg	reduced	NA	TRUE	TRUE	FALSE
slope_ks_sens_self	das_satis_avg	reduced	NA	FALSE	FALSE	FALSE
slope_ks_sens_self	das_coh_avg	full	female	FALSE	FALSE	FALSE
slope_ks_sens_self	das_coh_avg	full	male	TRUE	FALSE	FALSE
slope_ks_coop_self	das_satis_avg	reduced	NA	TRUE	FALSE	FALSE
slope_ks_coop_self	das_coh_avg	reduced	NA	FALSE	FALSE	FALSE
slope_ks_comp_self	das_satis_avg	reduced	NA	FALSE	FALSE	FALSE
slope_ks_comp_self	das_coh_avg	reduced	NA	FALSE	FALSE	FALSE
slope_con_collab_self	das_satis_avg	reduced	NA	TRUE	FALSE	FALSE
slope_con_collab_self	das_coh_avg	reduced	NA	TRUE	FALSE	FALSE
slope_con_capit_self	das_satis_avg	full	female	TRUE	FALSE	FALSE
slope_con_capit_self	das_satis_avg	full	male	TRUE	FALSE	FALSE
slope_con_capit_self	das_coh_avg	reduced	NA	TRUE	FALSE	FALSE
slope_con_stale_self	das_satis_avg	full	female	TRUE	FALSE	FALSE
slope_con_stale_self	das_satis_avg	full	male	TRUE	FALSE	FALSE
slope_con_stale_self	das_coh_avg	full	female	FALSE	FALSE	FALSE
slope_con_stale_self	das_coh_avg	full	male	FALSE	FALSE	FALSE
slope_con_verba_self	das_satis_avg	full	female	TRUE	FALSE	FALSE
slope_con_verba_self	das_satis_avg	full	male	TRUE	FALSE	FALSE
slope_con_verba_self	das_coh_avg	reduced	NA	TRUE	FALSE	FALSE

Plot DRSA

There was 1 model for which a broad congruence pattern was found: longitudinal similarity on caregiving Proximity v. Distance on Dyadic Cohesion.

The dyadic response surface analysis plot of these associations are presented below:

# load model
mod <- readRDS(paste0(
  here(), "/results/ttp/drsa_long/slope_ks_prox_self_das_coh_avg.RDS"))
coefs <- as.data.frame(unclass(standardizedSolution(mod))) %>%
  select(label, est.std) %>%
  mutate(est.std=round(est.std, 3))

plotRSA(x=coefs[coefs$label=="b1f","est.std"], 
        y=coefs[coefs$label=="b2f","est.std"], 
        x2=coefs[coefs$label=="b3f","est.std"], 
        xy=coefs[coefs$label=="b4f","est.std"], 
        y2=coefs[coefs$label=="b5f","est.std"], 
        xlab="Actor", ylab="Partner", zlab="Outcome", 
        project = c(), axes=c("LOC"), 
        param=TRUE, legend=TRUE, gridsize=10, 
        cex.tickLabel=0.5, cex.axesLabel=1, cex.main=1, border=TRUE, 
        distance=c(1,1,1), bw=TRUE, 
        pal=colorRampPalette(c("#333333", "#888888", "#EEEEEE"))(8), 
        main="Dyadic Response Surface Analysis Plot: Broad Congruence")

Longitudinal Assortative Mating Results: Transition to Parenthood

Linh Nguyen

2024-09-06