TGD_BI

Preliminary Analysis:

Descriptive Statistics

# Demographic Information
## Sexual Identity
table(TGD_BI_total$sex_orien)

## 
##  Asexual Bisexual      Gay    Other      Pan     PNTS Straight 
##       11       52       29        6       15        1       25

## Country
table(TGD_BI_total$country)

## 
##     Austria      Canada     Czehcia      France     Germany       Italy 
##           2          11           1           7           9           8 
## Netherlands    Portugal    Slovenia       Spain      Sweden          UK 
##           5           7           1           1           5          82

## Gender Affirming Hormones
table(TGD_BI_total$gen_horm)

## 
##  No Yes 
##  38 101

## Chest surgery
table(TGD_BI_total$chest)

## 
##  No Yes 
##  80  59

## Genital surgery
table(TGD_BI_total$genital)

## 
##  No Yes 
## 131   8

## Satisfaction with Stage of Transition
table(TGD_BI_total$satis)

## 
##  No Yes 
##  77  62

# Numeric Data
### Chest and genitals are the months since they received this surgery
demographic_stats <- TGD_BI_total %>% summarise_at(vars(Age, Chest_new, Genital_new,), 
                                                   list(mean = mean, sd = sd, 
                                                        min = min, max = max), 
                                                   na.rm = TRUE) 
pander(demographic_stats, caption = "Demographic Statistics for Age and Chest and Genital Surgery (in months)")

Demographic Statistics for Age and Chest and Genital Surgery (in months) (continued below)

Age_mean	Chest_new_mean	Genital_new_mean	Age_sd	Chest_new_sd
23.88	36.73	28.12	3.006	31.8

Table continues below

Genital_new_sd	Age_min	Chest_new_min	Genital_new_min	Age_max
25.35	18	2	2	30

Chest_new_max	Genital_new_max
120	68

## Descriptive Statistics
descriptive_stats <- TGD_BI_total %>% summarise_at(vars(MBAS_total, MBAS_mus, MBAS_bf, 
                                                        WHO_phys, WHO_psych, 
                                                        WHO_social, WHO_enviro,
                                                        GCLS_gender), 
                                                   list(mean = mean, sd = sd, 
                                                        min = min, max = max, 
                                                        skew = moments::skewness, 
                                                        kurtosis = moments::kurtosis), 
                                                   na.rm = TRUE)

pander(descriptive_stats, caption = "Descriptive Statistics for each Measure")

Descriptive Statistics for each Measure (continued below)

MBAS_total_mean	MBAS_mus_mean	MBAS_bf_mean	WHO_phys_mean
58.45	28.83	18.21	13.03

Table continues below

WHO_psych_mean	WHO_social_mean	WHO_enviro_mean	GCLS_gender_mean
11.39	14.43	13.3	2.813

Table continues below

MBAS_total_sd	MBAS_mus_sd	MBAS_bf_sd	WHO_phys_sd	WHO_psych_sd
14.93	7.585	8.376	3.338	2.952

Table continues below

WHO_social_sd	WHO_enviro_sd	GCLS_gender_sd	MBAS_total_min	MBAS_mus_min
3.543	2.525	0.8364	20	10

Table continues below

MBAS_bf_min	WHO_phys_min	WHO_psych_min	WHO_social_min	WHO_enviro_min
5	4.571	4	4	7

Table continues below

GCLS_gender_min	MBAS_total_max	MBAS_mus_max	MBAS_bf_max	WHO_phys_max
1.176	90	42	30	19.43

Table continues below

WHO_psych_max	WHO_social_max	WHO_enviro_max	GCLS_gender_max
18.67	20	19.5	4.647

Table continues below

MBAS_total_skew	MBAS_mus_skew	MBAS_bf_skew	WHO_phys_skew
-0.329	-0.578	-0.1611	-0.3291

Table continues below

WHO_psych_skew	WHO_social_skew	WHO_enviro_skew	GCLS_gender_skew
0.02701	-0.6497	-0.09571	-0.06449

Table continues below

MBAS_total_kurtosis	MBAS_mus_kurtosis	MBAS_bf_kurtosis	WHO_phys_kurtosis
2.92	2.867	1.682	2.383

Table continues below

WHO_psych_kurtosis	WHO_social_kurtosis	WHO_enviro_kurtosis
2.458	3.05	2.665

GCLS_gender_kurtosis
2.16

## Correlations
corr <- corr.test(as.matrix(TGD_BI_num))
pander(corr, style = "grid")

## Warning in pander.default(corr, style = "grid"): No pander.method for "psych",
## reverting to default.No pander.method for "corr.test", reverting to default.

• r:

  Table continues below

  	Age	MBAS_total	MBAS_mus	MBAS_bf	MBAS_height
  Age	1	0.1212	0.03339	0.161	0.04613
  MBAS_total	0.1212	1	0.7706	0.7986	0.5317
  MBAS_mus	0.03339	0.7706	1	0.3457	0.227
  MBAS_bf	0.161	0.7986	0.3457	1	0.2048
  MBAS_height	0.04613	0.5317	0.227	0.2048	1
  WHO_phys	-0.0777	-0.3892	-0.2153	-0.3931	-0.1965
  WHO_psych	-0.005256	-0.4916	-0.315	-0.4621	-0.2395
  WHO_social	-0.1706	-0.1768	-0.1277	-0.1591	-0.07489
  WHO_enviro	-0.03901	-0.2641	-0.177	-0.2148	-0.178
  GCLS_gender	-0.1329	0.3882	0.3686	0.1999	0.2941

  	WHO_phys	WHO_psych	WHO_social	WHO_enviro	GCLS_gender
  Age	-0.0777	-0.005256	-0.1706	-0.03901	-0.1329
  MBAS_total	-0.3892	-0.4916	-0.1768	-0.2641	0.3882
  MBAS_mus	-0.2153	-0.315	-0.1277	-0.177	0.3686
  MBAS_bf	-0.3931	-0.4621	-0.1591	-0.2148	0.1999
  MBAS_height	-0.1965	-0.2395	-0.07489	-0.178	0.2941
  WHO_phys	1	0.6799	0.2176	0.5947	-0.4494
  WHO_psych	0.6799	1	0.4015	0.5698	-0.5539
  WHO_social	0.2176	0.4015	1	0.3035	-0.1556
  WHO_enviro	0.5947	0.5698	0.3035	1	-0.4856
  GCLS_gender	-0.4494	-0.5539	-0.1556	-0.4856	1

• n: 139

• t:

  Table continues below

  	Age	MBAS_total	MBAS_mus	MBAS_bf	MBAS_height
  Age	Inf	1.43	0.3911	1.91	0.5405
  MBAS_total	1.43	Inf	14.15	15.53	7.348
  MBAS_mus	0.3911	14.15	Inf	4.312	2.728
  MBAS_bf	1.91	15.53	4.312	Inf	2.449
  MBAS_height	0.5405	7.348	2.728	2.449	Inf
  WHO_phys	-0.9122	-4.946	-2.581	-5.004	-2.346
  WHO_psych	-0.06152	-6.607	-3.885	-6.099	-2.888
  WHO_social	-2.027	-2.102	-1.507	-1.887	-0.879
  WHO_enviro	-0.457	-3.205	-2.105	-2.574	-2.117
  GCLS_gender	-1.57	4.93	4.642	2.388	3.602

  	WHO_phys	WHO_psych	WHO_social	WHO_enviro	GCLS_gender
  Age	-0.9122	-0.06152	-2.027	-0.457	-1.57
  MBAS_total	-4.946	-6.607	-2.102	-3.205	4.93
  MBAS_mus	-2.581	-3.885	-1.507	-2.105	4.642
  MBAS_bf	-5.004	-6.099	-1.887	-2.574	2.388
  MBAS_height	-2.346	-2.888	-0.879	-2.117	3.602
  WHO_phys	Inf	10.85	2.609	8.659	-5.888
  WHO_psych	10.85	Inf	5.131	8.115	-7.787
  WHO_social	2.609	5.131	Inf	3.729	-1.844
  WHO_enviro	8.659	8.115	3.729	Inf	-6.501
  GCLS_gender	-5.888	-7.787	-1.844	-6.501	Inf

• p:

  Table continues below

  	Age	MBAS_total	MBAS_mus	MBAS_bf	MBAS_height
  Age	0	1	1	0.6987	1
  MBAS_total	0.1551	0	6.075e-27	2.389e-30	6.398e-10
  MBAS_mus	0.6964	1.381e-28	0	0.0008895	0.1658
  MBAS_bf	0.05823	5.309e-32	3.067e-05	0	0.2965
  MBAS_height	0.5897	1.64e-11	0.00721	0.01561	0
  WHO_phys	0.3632	2.183e-06	0.01091	1.694e-06	0.02044
  WHO_psych	0.951	7.987e-10	0.0001589	1.025e-08	0.004513
  WHO_social	0.04465	0.03735	0.134	0.06132	0.3809
  WHO_enviro	0.6484	0.001681	0.03715	0.01112	0.03608
  GCLS_gender	0.1188	2.34e-06	7.998e-06	0.01832	0.0004403

  	WHO_phys	WHO_psych	WHO_social	WHO_enviro	GCLS_gender
  Age	1	1	0.5805	1	1
  MBAS_total	6.986e-05	3.035e-08	0.5772	0.04202	7.255e-05
  MBAS_mus	0.2292	0.004448	1	0.5772	0.00024
  MBAS_bf	5.59e-05	3.689e-07	0.6987	0.2292	0.3298
  MBAS_height	0.3474	0.1083	1	0.5772	0.01145
  WHO_phys	0	1.504e-18	0.2218	4.899e-13	1.003e-06
  WHO_psych	3.497e-20	0	3.286e-05	1.015e-11	6.068e-11
  WHO_social	0.01008	9.664e-07	0	0.007583	0.6987
  WHO_enviro	1.166e-14	2.475e-13	0.0002809	0	5.084e-08
  GCLS_gender	2.866e-08	1.517e-12	0.0674	1.374e-09	0

• p.adj: 1, 1, 6.075e-27, 0.6987, 2.389e-30, 0.0008895, 1, 6.398e-10, 0.1658, 0.2965, 1, 6.986e-05, 0.2292, 5.59e-05, 0.3474, 1, 3.035e-08, 0.004448, 3.689e-07, 0.1083, 1.504e-18, 0.5805, 0.5772, 1, 0.6987, 1, 0.2218, 3.286e-05, 1, 0.04202, 0.5772, 0.2292, 0.5772, 4.899e-13, 1.015e-11, 0.007583, 1, 7.255e-05, 0.00024, 0.3298, 0.01145, 1.003e-06, 6.068e-11, 0.6987 and 5.084e-08

• se:

  Table continues below

  	Age	MBAS_total	MBAS_mus	MBAS_bf	MBAS_height
  Age	0	0.08481	0.08539	0.08432	0.08534
  MBAS_total	0.08481	0	0.05445	0.05143	0.07236
  MBAS_mus	0.08539	0.05445	0	0.08017	0.08321
  MBAS_bf	0.08432	0.05143	0.08017	0	0.08363
  MBAS_height	0.08534	0.07236	0.08321	0.08363	0
  WHO_phys	0.08518	0.0787	0.08343	0.07856	0.08377
  WHO_psych	0.08543	0.0744	0.08109	0.07577	0.08295
  WHO_social	0.08418	0.08409	0.08474	0.08435	0.0852
  WHO_enviro	0.08537	0.0824	0.08409	0.08344	0.08407
  GCLS_gender	0.08468	0.07874	0.07942	0.08371	0.08166

  	WHO_phys	WHO_psych	WHO_social	WHO_enviro	GCLS_gender
  Age	0.08518	0.08543	0.08418	0.08537	0.08468
  MBAS_total	0.0787	0.0744	0.08409	0.0824	0.07874
  MBAS_mus	0.08343	0.08109	0.08474	0.08409	0.07942
  MBAS_bf	0.07856	0.07577	0.08435	0.08344	0.08371
  MBAS_height	0.08377	0.08295	0.0852	0.08407	0.08166
  WHO_phys	0	0.06265	0.08339	0.06868	0.07632
  WHO_psych	0.06265	0	0.07825	0.07021	0.07113
  WHO_social	0.08339	0.07825	0	0.08141	0.0844
  WHO_enviro	0.06868	0.07021	0.08141	0	0.07469
  GCLS_gender	0.07632	0.07113	0.0844	0.07469	0

• sef: 0.08575

• adjust: holm

• sym: TRUE

• ci:

  	lower	r	upper	p
  Age-MBAS_t	-0.04619	0.1212	0.2821	0.1551
  Age-MBAS_m	-0.1339	0.03339	0.1988	0.6964
  Age-MBAS_b	-0.005602	0.161	0.319	0.05823
  Age-MBAS_h	-0.1213	0.04613	0.211	0.5897
  Age-WHO_ph	-0.2411	-0.0777	0.08996	0.3632
  Age-WHO_ps	-0.1716	-0.005256	0.1614	0.951
  Age-WHO_s	-0.3278	-0.1706	-0.004219	0.04465
  Age-WHO_n	-0.2042	-0.03901	0.1283	0.6484
  Age-GCLS_	-0.2929	-0.1329	0.03436	0.1188
  MBAS_t-MBAS_m	0.693	0.7706	0.8305	1.381e-28
  MBAS_t-MBAS_b	0.729	0.7986	0.8518	5.309e-32
  MBAS_t-MBAS_h	0.4007	0.5317	0.6414	1.64e-11
  MBAS_t-WHO_ph	-0.5219	-0.3892	-0.2382	2.183e-06
  MBAS_t-WHO_ps	-0.6083	-0.4916	-0.3541	7.987e-10
  MBAS_t-WHO_s	-0.3335	-0.1768	-0.0106	0.03735
  MBAS_t-WHO_n	-0.4125	-0.2641	-0.1021	0.001681
  MBAS_t-GCLS_	0.237	0.3882	0.521	2.34e-06
  MBAS_m-MBAS_b	0.1902	0.3457	0.4843	3.067e-05
  MBAS_m-MBAS_h	0.06285	0.227	0.3791	0.00721
  MBAS_m-WHO_ph	-0.3686	-0.2153	-0.05063	0.01091
  MBAS_m-WHO_ps	-0.4575	-0.315	-0.1567	0.0001589
  MBAS_m-WHO_s	-0.2881	-0.1277	0.03961	0.134
  MBAS_m-WHO_n	-0.3336	-0.177	-0.01079	0.03715
  MBAS_m-GCLS_	0.2154	0.3686	0.5042	7.998e-06
  MBAS_b-MBAS_h	0.03961	0.2048	0.359	0.01561
  MBAS_b-WHO_ph	-0.5252	-0.3931	-0.2425	1.694e-06
  MBAS_b-WHO_ps	-0.5837	-0.4621	-0.3203	1.025e-08
  MBAS_b-WHO_s	-0.3172	-0.1591	0.007566	0.06132
  MBAS_b-WHO_n	-0.3681	-0.2148	-0.05005	0.01112
  MBAS_b-GCLS_	0.03452	0.1999	0.3546	0.01832
  MBAS_h-WHO_ph	-0.3515	-0.1965	-0.031	0.02044
  MBAS_h-WHO_ps	-0.3905	-0.2395	-0.07605	0.004513
  MBAS_h-WHO_s	-0.2384	-0.07489	0.09277	0.3809
  MBAS_h-WHO_n	-0.3346	-0.178	-0.01182	0.03608
  MBAS_h-GCLS_	0.1342	0.2941	0.4391	0.0004403
  WHO_ph-WHO_ps	0.5789	0.6799	0.7603	3.497e-20
  WHO_ph-WHO_s	0.053	0.2176	0.3707	0.01008
  WHO_ph-WHO_n	0.4753	0.5947	0.6927	1.166e-14
  WHO_ph-GCLS_	-0.573	-0.4494	-0.3058	2.866e-08
  WHO_ps-WHO_s	0.2518	0.4015	0.5324	9.664e-07
  WHO_ps-WHO_n	0.4455	0.5698	0.6725	2.475e-13
  WHO_ps-GCLS_	-0.6596	-0.5539	-0.4268	1.517e-12
  WHO_s-WHO_n	0.1443	0.3035	0.4474	0.0002809
  WHO_s-GCLS_	-0.314	-0.1556	0.0112	0.0674
  WHO_n-GCLS_	-0.6033	-0.4856	-0.3471	1.374e-09

• ci2:

  lower	r	upper	p	p.adj
  -0.04619	0.1212	0.2821	0.1551	1
  -0.1339	0.03339	0.1988	0.6964	1
  -0.005602	0.161	0.319	0.05823	0.6987
  -0.1213	0.04613	0.211	0.5897	1
  -0.2411	-0.0777	0.08996	0.3632	1
  -0.1716	-0.005256	0.1614	0.951	1
  -0.3278	-0.1706	-0.004219	0.04465	0.5805
  -0.2042	-0.03901	0.1283	0.6484	1
  -0.2929	-0.1329	0.03436	0.1188	1
  0.693	0.7706	0.8305	1.381e-28	6.075e-27
  0.729	0.7986	0.8518	5.309e-32	2.389e-30
  0.4007	0.5317	0.6414	1.64e-11	6.398e-10
  -0.5219	-0.3892	-0.2382	2.183e-06	6.986e-05
  -0.6083	-0.4916	-0.3541	7.987e-10	3.035e-08
  -0.3335	-0.1768	-0.0106	0.03735	0.5772
  -0.4125	-0.2641	-0.1021	0.001681	0.04202
  0.237	0.3882	0.521	2.34e-06	7.255e-05
  0.1902	0.3457	0.4843	3.067e-05	0.0008895
  0.06285	0.227	0.3791	0.00721	0.1658
  -0.3686	-0.2153	-0.05063	0.01091	0.2292
  -0.4575	-0.315	-0.1567	0.0001589	0.004448
  -0.2881	-0.1277	0.03961	0.134	1
  -0.3336	-0.177	-0.01079	0.03715	0.5772
  0.2154	0.3686	0.5042	7.998e-06	0.00024
  0.03961	0.2048	0.359	0.01561	0.2965
  -0.5252	-0.3931	-0.2425	1.694e-06	5.59e-05
  -0.5837	-0.4621	-0.3203	1.025e-08	3.689e-07
  -0.3172	-0.1591	0.007566	0.06132	0.6987
  -0.3681	-0.2148	-0.05005	0.01112	0.2292
  0.03452	0.1999	0.3546	0.01832	0.3298
  -0.3515	-0.1965	-0.031	0.02044	0.3474
  -0.3905	-0.2395	-0.07605	0.004513	0.1083
  -0.2384	-0.07489	0.09277	0.3809	1
  -0.3346	-0.178	-0.01182	0.03608	0.5772
  0.1342	0.2941	0.4391	0.0004403	0.01145
  0.5789	0.6799	0.7603	3.497e-20	1.504e-18
  0.053	0.2176	0.3707	0.01008	0.2218
  0.4753	0.5947	0.6927	1.166e-14	4.899e-13
  -0.573	-0.4494	-0.3058	2.866e-08	1.003e-06
  0.2518	0.4015	0.5324	9.664e-07	3.286e-05
  0.4455	0.5698	0.6725	2.475e-13	1.015e-11
  -0.6596	-0.5539	-0.4268	1.517e-12	6.068e-11
  0.1443	0.3035	0.4474	0.0002809	0.007583
  -0.314	-0.1556	0.0112	0.0674	0.6987
  -0.6033	-0.4856	-0.3471	1.374e-09	5.084e-08

• ci.adj:

  lower.adj	upper.adj
  -0.1084	0.3386
  -0.1575	0.2219
  -0.08304	0.3869
  -0.1665	0.2546
  -0.295	0.1473
  -0.1716	0.1614
  -0.3971	0.07543
  -0.2396	0.1647
  -0.3553	0.1037
  0.6308	0.8619
  0.6723	0.8797
  0.3062	0.7007
  -0.5929	-0.1388
  -0.6716	-0.2568
  -0.4041	0.07107
  -0.4896	-0.005522
  0.1383	0.5916
  0.09157	0.5576
  -0.03184	0.4573
  -0.4456	0.04175
  -0.5327	-0.05816
  -0.3478	0.1056
  -0.4058	0.0727
  0.1167	0.576
  -0.05017	0.4346
  -0.5963	-0.1425
  -0.6493	-0.2221
  -0.3832	0.08263
  -0.4442	0.04107
  -0.05385	0.4294
  -0.4252	0.05587
  -0.4685	0.01968
  -0.2876	0.1448
  -0.4081	0.07338
  0.0371	0.5147
  0.5008	0.8031
  -0.04057	0.4485
  0.386	0.7456
  -0.6395	-0.2075
  0.1515	0.6032
  0.3539	0.728
  -0.7167	-0.3339
  0.04643	0.5229
  -0.3779	0.08364
  -0.6668	-0.25

• stars:

  Table continues below

  	Age	MBAS_total	MBAS_mus	MBAS_bf	MBAS_height
  Age	1***	0.12	0.03	0.16	0.05
  MBAS_total	0.12	1***	0.77***	0.8***	0.53***
  MBAS_mus	0.03	0.77***	1***	0.35***	0.23
  MBAS_bf	0.16	0.8***	0.35***	1***	0.2
  MBAS_height	0.05	0.53***	0.23**	0.2*	1***
  WHO_phys	-0.08	-0.39***	-0.22*	-0.39***	-0.2*
  WHO_psych	-0.01	-0.49***	-0.31***	-0.46***	-0.24**
  WHO_social	-0.17*	-0.18*	-0.13	-0.16	-0.07
  WHO_enviro	-0.04	-0.26**	-0.18*	-0.21*	-0.18*
  GCLS_gender	-0.13	0.39***	0.37***	0.2*	0.29***

  	WHO_phys	WHO_psych	WHO_social	WHO_enviro	GCLS_gender
  Age	-0.08	-0.01	-0.17	-0.04	-0.13
  MBAS_total	-0.39***	-0.49***	-0.18	-0.26*	0.39***
  MBAS_mus	-0.22	-0.31**	-0.13	-0.18	0.37***
  MBAS_bf	-0.39***	-0.46***	-0.16	-0.21	0.2
  MBAS_height	-0.2	-0.24	-0.07	-0.18	0.29*
  WHO_phys	1***	0.68***	0.22	0.59***	-0.45***
  WHO_psych	0.68***	1***	0.4***	0.57***	-0.55***
  WHO_social	0.22*	0.4***	1***	0.3**	-0.16
  WHO_enviro	0.59***	0.57***	0.3***	1***	-0.49***
  GCLS_gender	-0.45***	-0.55***	-0.16	-0.49***	1***

• Call: corr.test(x = as.matrix(TGD_BI_num))

Internal Consistency

We note that the social subscale of the WHO_QoL Bref Scale and the Chest Subscale of the GCLS produce several warnings. This is likely due to the small number of items, as there are no missing values and the variances are positive for each item. We suggest that readers interpret this internal consistency metric with caution due to this. However, the inter-item correlations remain moderate to high, indicating these measures are appropriate.

## $est
## [1] 0.8574545
## 
## $se
## [1] 0.03056729
## 
## $ci.lower
## [1] 0.7879052
## 
## $ci.upper
## [1] 0.8984369
## 
## $conf.level
## [1] 0.95
## 
## $type
## [1] "omega"
## 
## $interval.type
## [1] "bca bootstrap"

## $est
## [1] 0.8542028
## 
## $se
## [1] 0.01785174
## 
## $ci.lower
## [1] 0.8094937
## 
## $ci.upper
## [1] 0.8843366
## 
## $conf.level
## [1] 0.95
## 
## $type
## [1] "omega"
## 
## $interval.type
## [1] "bca bootstrap"

## $est
## [1] 0.832173
## 
## $se
## [1] 0.02319907
## 
## $ci.lower
## [1] 0.7856959
## 
## $ci.upper
## [1] 0.8785376
## 
## $conf.level
## [1] 0.95
## 
## $type
## [1] "omega"
## 
## $interval.type
## [1] "bca bootstrap"

## $est
## [1] 0.7468072
## 
## $se
## [1] 25.60312
## 
## $ci.lower
## [1] 0.5818945
## 
## $ci.upper
## [1] 0.9536727
## 
## $conf.level
## [1] 0.95
## 
## $type
## [1] "omega"
## 
## $interval.type
## [1] "bca bootstrap"

## $est
## [1] 0.7510876
## 
## $se
## [1] 0.03092647
## 
## $ci.lower
## [1] 0.6937791
## 
## $ci.upper
## [1] 0.8130531
## 
## $conf.level
## [1] 0.95
## 
## $type
## [1] "omega"
## 
## $interval.type
## [1] "bca bootstrap"

## $est
## [1] 0.8330046
## 
## $se
## [1] 0.02103421
## 
## $ci.lower
## [1] 0.7799369
## 
## $ci.upper
## [1] 0.8691478
## 
## $conf.level
## [1] 0.95
## 
## $type
## [1] "omega"
## 
## $interval.type
## [1] "bca bootstrap"

## $est
## [1] 0.920726
## 
## $se
## [1] 0.01208281
## 
## $ci.lower
## [1] 0.8889187
## 
## $ci.upper
## [1] 0.9396951
## 
## $conf.level
## [1] 0.95
## 
## $type
## [1] "omega"
## 
## $interval.type
## [1] "bca bootstrap"

## $est
## [1] 0.7737753
## 
## $se
## [1] 0.03136535
## 
## $ci.lower
## [1] 0.6896021
## 
## $ci.upper
## [1] 0.8196568
## 
## $conf.level
## [1] 0.95
## 
## $type
## [1] "omega"
## 
## $interval.type
## [1] "bca bootstrap"

## $est
## [1] 0.8181998
## 
## $se
## [1] 0.03272694
## 
## $ci.lower
## [1] 0.7316209
## 
## $ci.upper
## [1] 0.8651273
## 
## $conf.level
## [1] 0.95
## 
## $type
## [1] "omega"
## 
## $interval.type
## [1] "bca bootstrap"

## $est
## [1] 0.9088533
## 
## $se
## [1] 0.01063989
## 
## $ci.lower
## [1] 0.8859616
## 
## $ci.upper
## [1] 0.928002
## 
## $conf.level
## [1] 0.95
## 
## $type
## [1] "omega"
## 
## $interval.type
## [1] "bca bootstrap"

Primary Analyses

We pre-registered the following analysis on the OSF. We standardised each of our variables below. The coefficients reported are, therefore, standardised betas. We control for age (in years) and satisfaction with stage of transition below (yes or no).

## lavaan 0.6.17 ended normally after 36 iterations
## 
##   Estimator                                         ML
##   Optimization method                           NLMINB
##   Number of model parameters                        30
## 
##   Number of observations                           139
## 
## Model Test User Model:
##                                                       
##   Test statistic                                 0.000
##   Degrees of freedom                                 0
## 
## Parameter Estimates:
## 
##   Standard errors                            Bootstrap
##   Number of requested bootstrap draws             1000
##   Number of successful bootstrap draws            1000
## 
## Regressions:
##                    Estimate  Std.Err  z-value  P(>|z|)
##   MBAS_total ~                                        
##     GCLS_gn   (a1)    0.392    0.090    4.346    0.000
##     Age               0.061    0.024    2.562    0.010
##     satis            -0.091    0.183   -0.497    0.619
##   WHO_phys ~                                          
##     GCLS_gn  (cp1)   -0.400    0.085   -4.702    0.000
##     MBAS_tt (b1.1)   -0.236    0.092   -2.553    0.011
##     Age              -0.029    0.025   -1.153    0.249
##     satis            -0.133    0.168   -0.792    0.428
##   WHO_psych ~                                         
##     GCLS_gn  (cp2)   -0.389    0.088   -4.422    0.000
##     MBAS_tt (b1.2)   -0.316    0.078   -4.077    0.000
##     Age              -0.014    0.025   -0.576    0.565
##     satis             0.208    0.166    1.248    0.212
##   WHO_social ~                                        
##     GCLS_gn  (cp3)   -0.110    0.098   -1.120    0.263
##     MBAS_tt (b1.3)   -0.098    0.094   -1.047    0.295
##     Age              -0.063    0.029   -2.197    0.028
##     satis             0.141    0.205    0.688    0.492
##   WHO_enviro ~                                        
##     GCLS_gn  (cp4)   -0.405    0.097   -4.187    0.000
##     MBAS_tt (b1.4)   -0.064    0.082   -0.777    0.437
##     Age              -0.041    0.025   -1.642    0.101
##     satis             0.314    0.170    1.850    0.064
## 
## Covariances:
##                    Estimate  Std.Err  z-value  P(>|z|)
##  .WHO_phys ~~                                         
##    .WHO_psych         0.361    0.053    6.861    0.000
##    .WHO_social        0.104    0.073    1.430    0.153
##    .WHO_enviro        0.354    0.059    6.024    0.000
##  .WHO_psych ~~                                        
##    .WHO_social        0.266    0.059    4.488    0.000
##    .WHO_enviro        0.260    0.057    4.595    0.000
##  .WHO_social ~~                                       
##    .WHO_enviro        0.192    0.068    2.835    0.005
## 
## Variances:
##                    Estimate  Std.Err  z-value  P(>|z|)
##    .MBAS_total        0.811    0.102    7.980    0.000
##    .WHO_phys          0.726    0.081    9.014    0.000
##    .WHO_psych         0.590    0.069    8.584    0.000
##    .WHO_social        0.920    0.103    8.929    0.000
##    .WHO_enviro        0.726    0.079    9.217    0.000
## 
## Defined Parameters:
##                    Estimate  Std.Err  z-value  P(>|z|)
##     ab1              -0.092    0.044   -2.087    0.037
##     ab2              -0.124    0.042   -2.940    0.003
##     ab3              -0.038    0.039   -0.988    0.323
##     ab4              -0.038    0.039   -0.988    0.323

##            lhs op         rhs label    est    se      z pvalue ci.lower
## 1   MBAS_total  ~ GCLS_gender    a1  0.392 0.090  4.346  0.000    0.223
## 2   MBAS_total  ~         Age        0.061 0.024  2.562  0.010    0.016
## 3   MBAS_total  ~       satis       -0.091 0.183 -0.497  0.619   -0.468
## 4     WHO_phys  ~ GCLS_gender   cp1 -0.400 0.085 -4.702  0.000   -0.569
## 5     WHO_phys  ~  MBAS_total  b1.1 -0.236 0.092 -2.553  0.011   -0.422
## 6     WHO_phys  ~         Age       -0.029 0.025 -1.153  0.249   -0.083
## 7     WHO_phys  ~       satis       -0.133 0.168 -0.792  0.428   -0.483
## 8    WHO_psych  ~ GCLS_gender   cp2 -0.389 0.088 -4.422  0.000   -0.561
## 9    WHO_psych  ~  MBAS_total  b1.2 -0.316 0.078 -4.077  0.000   -0.478
## 10   WHO_psych  ~         Age       -0.014 0.025 -0.576  0.565   -0.063
## 11   WHO_psych  ~       satis        0.208 0.166  1.248  0.212   -0.113
## 12  WHO_social  ~ GCLS_gender   cp3 -0.110 0.098 -1.120  0.263   -0.306
## 13  WHO_social  ~  MBAS_total  b1.3 -0.098 0.094 -1.047  0.295   -0.298
## 14  WHO_social  ~         Age       -0.063 0.029 -2.197  0.028   -0.121
## 15  WHO_social  ~       satis        0.141 0.205  0.688  0.492   -0.283
## 16  WHO_enviro  ~ GCLS_gender   cp4 -0.405 0.097 -4.187  0.000   -0.606
## 17  WHO_enviro  ~  MBAS_total  b1.4 -0.064 0.082 -0.777  0.437   -0.233
## 18  WHO_enviro  ~         Age       -0.041 0.025 -1.642  0.101   -0.089
## 19  WHO_enviro  ~       satis        0.314 0.170  1.850  0.064   -0.015
## 20  MBAS_total ~~  MBAS_total        0.811 0.102  7.980  0.000    0.647
## 21    WHO_phys ~~    WHO_phys        0.726 0.081  9.014  0.000    0.594
## 22   WHO_psych ~~   WHO_psych        0.590 0.069  8.584  0.000    0.481
## 23  WHO_social ~~  WHO_social        0.920 0.103  8.929  0.000    0.768
## 24  WHO_enviro ~~  WHO_enviro        0.726 0.079  9.217  0.000    0.605
## 25    WHO_phys ~~   WHO_psych        0.361 0.053  6.861  0.000    0.275
## 26    WHO_phys ~~  WHO_social        0.104 0.073  1.430  0.153   -0.047
## 27    WHO_phys ~~  WHO_enviro        0.354 0.059  6.024  0.000    0.260
## 28   WHO_psych ~~  WHO_social        0.266 0.059  4.488  0.000    0.156
## 29   WHO_psych ~~  WHO_enviro        0.260 0.057  4.595  0.000    0.158
## 30  WHO_social ~~  WHO_enviro        0.192 0.068  2.835  0.005    0.067
## 31 GCLS_gender ~~ GCLS_gender        0.993 0.000     NA     NA    0.993
## 32 GCLS_gender ~~         Age       -0.397 0.000     NA     NA   -0.397
## 33 GCLS_gender ~~       satis       -0.230 0.000     NA     NA   -0.230
## 34         Age ~~         Age        8.971 0.000     NA     NA    8.971
## 35         Age ~~       satis        0.357 0.000     NA     NA    0.357
## 36       satis ~~       satis        0.247 0.000     NA     NA    0.247
## 37         ab1 :=     a1*b1.1   ab1 -0.092 0.044 -2.087  0.037   -0.202
## 38         ab2 :=     a1*b1.2   ab2 -0.124 0.042 -2.940  0.003   -0.234
## 39         ab3 :=     a1*b1.3   ab3 -0.038 0.039 -0.988  0.323   -0.148
## 40         ab4 :=     a1*b1.3   ab4 -0.038 0.039 -0.988  0.323   -0.148
##    ci.upper
## 1     0.575
## 2     0.110
## 3     0.252
## 4    -0.241
## 5    -0.061
## 6     0.016
## 7     0.184
## 8    -0.203
## 9    -0.170
## 10    0.034
## 11    0.540
## 12    0.096
## 13    0.083
## 14   -0.008
## 15    0.517
## 16   -0.226
## 17    0.095
## 18    0.009
## 19    0.644
## 20    1.049
## 21    0.957
## 22    0.767
## 23    1.210
## 24    0.930
## 25    0.485
## 26    0.242
## 27    0.495
## 28    0.399
## 29    0.381
## 30    0.330
## 31    0.993
## 32   -0.397
## 33   -0.230
## 34    8.971
## 35    0.357
## 36    0.247
## 37   -0.026
## 38   -0.059
## 39    0.022
## 40    0.022

Exploratory Analysis

The following are some exploratory analyses that we did not pre-register.