Kaitlyn’s project
Roxanne Felig
1/8/2021
Latent variables
First, I'm creating latent "pose" and "reveal" variables based on all of the pose and reveal scores of every photo.
I am also making a latent "sexualized" variable based on the sexualized scores of each photo.
Then, I am looking at how the "pose" and "reveal" latent variables predict sexualization.
This does not allow me to take into account within person variance, but this I think is a good start and will help us talk about it with Brent.
mod<-'POSE=~1*NSNR1_sex_bod + NSNR2_sex_bod + NSNR3_sex_bod + NSNR4_sex_bod +
NSNR5_sex_bod + NSNR6_sex_bod + NSNR7_sex_bod + NSNR8__sex_bod +
NSNR9_sex_bod + NSNR10_sex_bod + RNS1_sex_bod + RNS2_sex_bod + RNS3_sex_bod +
RNS4_sex_bod + RNS5_sex_bod + RNS6_sex_bod + RNS7_sex_bod + RNS8_sex_bod +
RNS9_sex_bod + RNS10_sex_bod + NRS1_sex_bod + NRS2_sex_bod + NRS3_sex_bod +
NRS4_sex_bod + NRS5_sex_bod + NRS6_sex_bod + NRS7_sex_bod + NRS8_sex_bod +
NRS9_sex_bod + NRS10_sex_bod + RS1_sex_bod + RS2_sex_bod + RS3_sex_bod +
RS4_2_sex_bod + RS5_2_sex_bod + RS6_2_sex_bod + RS7_2_sex_bod + RS8_2_sex_bod +RS9_2_sex_bod + RS10_2_sex_bod
REVEAL=~1*NSNR1_reveal + NSNR2_reveal + NSNR3_reveal + NSNR4_reveal +
NSNR5_reveal + NSNR6_reveal + NSNR7_reveal + NSNR8_reveal +
NSNR9_reveal + NSNR10_reveal + RNS1_reveal + RNS2_reveal + RNS3_reveal +
RNS4_reveal + RNS5_reveal + RNS6_reveal + RNS7_reveal + RNS8_reveal +
RNS9_reveal + RNS10_reveal + NRS1_reveal + NRS2_reveal + NRS3_reveal +
NRS4_reveal + NRS5_reveal + NRS6_reveal + NRS7_reveal + NRS8_reveal +
NRS9_reveal + NRS10_reveal + RS1_reveal + RS2_reveal + RS3_reveal +
RS4_1_reveal + RS5_1_reveal + RS6_1_reveal + RS7_1_reveal + RS8_1_reveal +
RS9_1_reveal + RS10_1_reveal
SEXUAL=~1*NSNR_sexual_avg+RNS_sexual_avg+NRS_sexual_avg+RS_sexual_avg
SEXUAL=~1*POSE+REVEAL
'
fit.mod <- sem(model = mod,
missing = "ML",
data = data)## Warning in lav_data_full(data = data, group = group, cluster = cluster, : lavaan WARNING: some cases are empty and will be ignored:
## 131 140 142 148 149 150 170 177 182 183 185 218 229 236 248 322summary(fit.mod,
fit.measures= TRUE,
standardized = TRUE,
rsquare=TRUE
#if you want fit measures like AIC, BIC, etc, use
#fit.measures = TRUE
)## lavaan 0.6-7 ended normally after 147 iterations
##
## Estimator ML
## Optimization method NLMINB
## Number of free parameters 253
##
## Used Total
## Number of observations 388 404
## Number of missing patterns 13
##
## Model Test User Model:
##
## Test statistic 20242.069
## Degrees of freedom 3401
## P-value (Chi-square) 0.000
##
## Model Test Baseline Model:
##
## Test statistic 36031.482
## Degrees of freedom 3486
## P-value 0.000
##
## User Model versus Baseline Model:
##
## Comparative Fit Index (CFI) 0.483
## Tucker-Lewis Index (TLI) 0.470
##
## Loglikelihood and Information Criteria:
##
## Loglikelihood user model (H0) -50457.581
## Loglikelihood unrestricted model (H1) NA
##
## Akaike (AIC) 101421.163
## Bayesian (BIC) 102423.297
## Sample-size adjusted Bayesian (BIC) 101620.550
##
## Root Mean Square Error of Approximation:
##
## RMSEA 0.113
## 90 Percent confidence interval - lower 0.111
## 90 Percent confidence interval - upper 0.114
## P-value RMSEA <= 0.05 0.000
##
## Standardized Root Mean Square Residual:
##
## SRMR 0.203
##
## Parameter Estimates:
##
## Standard errors Standard
## Information Observed
## Observed information based on Hessian
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## POSE =~
## NSNR1_sex_bod 1.000 0.471 0.421
## NSNR2_sex_bod 0.736 0.123 5.985 0.000 0.347 0.326
## NSNR3_sex_bod 0.945 0.145 6.501 0.000 0.446 0.358
## NSNR4_sex_bod 1.812 0.185 9.791 0.000 0.854 0.590
## NSNR5_sex_bod 0.950 0.133 7.136 0.000 0.448 0.398
## NSNR6_sex_bod 1.064 0.143 7.433 0.000 0.502 0.416
## NSNR7_sex_bod 0.985 0.131 7.522 0.000 0.465 0.422
## NSNR8__sex_bod 0.742 0.118 6.284 0.000 0.350 0.344
## NSNR9_sex_bod 1.466 0.170 8.647 0.000 0.691 0.500
## NSNR10_sex_bod 0.922 0.145 6.342 0.000 0.434 0.348
## RNS1_sex_bod 2.710 0.247 10.958 0.000 1.278 0.704
## RNS2_sex_bod 1.792 0.191 9.382 0.000 0.845 0.558
## RNS3_sex_bod 3.021 0.262 11.528 0.000 1.424 0.774
## RNS4_sex_bod 2.909 0.271 10.735 0.000 1.371 0.686
## RNS5_sex_bod 2.536 0.241 10.504 0.000 1.195 0.659
## RNS6_sex_bod 1.837 0.195 9.414 0.000 0.866 0.564
## RNS7_sex_bod 2.383 0.242 9.830 0.000 1.123 0.599
## RNS8_sex_bod 2.330 0.232 10.020 0.000 1.098 0.615
## RNS9_sex_bod 2.753 0.257 10.727 0.000 1.298 0.692
## RNS10_sex_bod 2.721 0.244 11.155 0.000 1.283 0.727
## NRS1_sex_bod 2.854 0.252 11.345 0.000 1.345 0.748
## NRS2_sex_bod 2.559 0.227 11.290 0.000 1.206 0.735
## NRS3_sex_bod 2.520 0.240 10.486 0.000 1.188 0.664
## NRS4_sex_bod 2.805 0.247 11.364 0.000 1.322 0.750
## NRS5_sex_bod 2.640 0.250 10.565 0.000 1.244 0.673
## NRS6_sex_bod 2.303 0.223 10.319 0.000 1.085 0.637
## NRS7_sex_bod 2.468 0.221 11.162 0.000 1.163 0.720
## NRS8_sex_bod 2.655 0.240 11.065 0.000 1.252 0.718
## NRS9_sex_bod 2.354 0.218 10.797 0.000 1.110 0.682
## NRS10_sex_bod 2.605 0.240 10.844 0.000 1.228 0.694
## RS1_sex_bod 3.202 0.269 11.886 0.000 1.510 0.820
## RS2_sex_bod 2.878 0.246 11.688 0.000 1.356 0.800
## RS3_sex_bod 3.122 0.268 11.659 0.000 1.472 0.789
## RS4_2_sex_bod 2.962 0.254 11.652 0.000 1.396 0.795
## RS5_2_sex_bod 3.053 0.263 11.601 0.000 1.439 0.778
## RS6_2_sex_bod 3.176 0.263 12.073 0.000 1.497 0.837
## RS7_2_sex_bod 3.118 0.265 11.746 0.000 1.470 0.805
## RS8_2_sex_bod 3.161 0.268 11.792 0.000 1.490 0.809
## RS9_2_sex_bod 2.943 0.255 11.541 0.000 1.387 0.786
## RS10_2_sex_bod 3.150 0.271 11.646 0.000 1.485 0.789
## REVEAL =~
## NSNR1_reveal 1.000 0.797 0.677
## NSNR2_reveal 0.902 0.084 10.752 0.000 0.719 0.574
## NSNR3_reveal 1.024 0.082 12.465 0.000 0.816 0.682
## NSNR4_reveal 1.213 0.094 12.905 0.000 0.967 0.712
## NSNR5_reveal 1.034 0.083 12.386 0.000 0.824 0.668
## NSNR6_reveal 0.997 0.079 12.553 0.000 0.795 0.682
## NSNR7_reveal 1.176 0.088 13.421 0.000 0.938 0.747
## NSNR8_reveal 0.941 0.085 11.095 0.000 0.750 0.595
## NSNR9_reveal 1.132 0.090 12.641 0.000 0.903 0.687
## NSNR10_reveal 1.151 0.091 12.598 0.000 0.917 0.683
## RNS1_reveal 0.839 0.107 7.865 0.000 0.669 0.484
## RNS2_reveal 1.217 0.106 11.486 0.000 0.970 0.662
## RNS3_reveal 0.973 0.113 8.575 0.000 0.775 0.526
## RNS4_reveal 0.551 0.109 5.050 0.000 0.439 0.306
## RNS5_reveal 0.791 0.104 7.581 0.000 0.631 0.460
## RNS6_reveal 0.637 0.118 5.390 0.000 0.508 0.328
## RNS7_reveal 0.588 0.111 5.295 0.000 0.469 0.327
## RNS8_reveal 0.803 0.117 6.879 0.000 0.640 0.423
## RNS9_reveal 0.670 0.116 5.775 0.000 0.534 0.356
## RNS10_reveal 0.769 0.115 6.670 0.000 0.613 0.407
## NRS1_reveal 1.481 0.111 13.289 0.000 1.180 0.754
## NRS2_reveal 1.200 0.088 13.639 0.000 0.956 0.762
## NRS3_reveal 1.326 0.100 13.237 0.000 1.057 0.729
## NRS4_reveal 1.414 0.105 13.411 0.000 1.127 0.763
## NRS5_reveal 1.473 0.108 13.656 0.000 1.174 0.751
## NRS6_reveal 1.537 0.111 13.795 0.000 1.225 0.777
## NRS7_reveal 1.423 0.103 13.801 0.000 1.134 0.767
## NRS8_reveal 1.423 0.103 13.806 0.000 1.134 0.773
## NRS9_reveal 1.439 0.105 13.757 0.000 1.147 0.795
## NRS10_reveal 1.371 0.100 13.744 0.000 1.093 0.755
## RS1_reveal 0.653 0.113 5.777 0.000 0.520 0.353
## RS2_reveal 0.575 0.107 5.389 0.000 0.458 0.331
## RS3_reveal 0.908 0.116 7.796 0.000 0.723 0.468
## RS4_1_reveal 0.576 0.106 5.432 0.000 0.459 0.331
## RS5_1_reveal 0.997 0.107 9.287 0.000 0.795 0.559
## RS6_1_reveal 0.718 0.111 6.445 0.000 0.573 0.396
## RS7_1_reveal 0.512 0.109 4.716 0.000 0.408 0.286
## RS8_1_reveal 0.770 0.121 6.391 0.000 0.614 0.396
## RS9_1_reveal 0.594 0.107 5.531 0.000 0.474 0.338
## RS10_1_reveal 0.484 0.102 4.725 0.000 0.386 0.290
## SEXUAL =~
## NSNR_sexual_vg 1.000 0.454 0.487
## RNS_sexual_avg 2.998 0.237 12.667 0.000 1.361 0.917
## NRS_sexual_avg 2.617 0.208 12.553 0.000 1.188 0.869
## RS_sexual_avg 3.175 0.254 12.491 0.000 1.442 0.916
## POSE 1.000 0.963 0.963
## REVEAL 1.140 0.127 9.013 0.000 0.649 0.649
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .NSNR1_sex_bod 1.566 0.057 27.388 0.000 1.566 1.400
## .NSNR2_sex_bod 1.589 0.054 29.255 0.000 1.589 1.494
## .NSNR3_sex_bod 1.768 0.064 27.743 0.000 1.768 1.420
## .NSNR4_sex_bod 2.396 0.074 32.459 0.000 2.396 1.654
## .NSNR5_sex_bod 1.676 0.057 29.166 0.000 1.676 1.489
## .NSNR6_sex_bod 1.754 0.062 28.474 0.000 1.754 1.454
## .NSNR7_sex_bod 1.685 0.056 30.068 0.000 1.685 1.531
## .NSNR8__sex_bod 1.523 0.052 29.261 0.000 1.523 1.496
## .NSNR9_sex_bod 2.089 0.070 29.681 0.000 2.089 1.512
## .NSNR10_sex_bod 1.674 0.064 26.285 0.000 1.674 1.342
## .RNS1_sex_bod 3.582 0.092 38.789 0.000 3.582 1.976
## .RNS2_sex_bod 2.405 0.077 31.194 0.000 2.405 1.590
## .RNS3_sex_bod 4.550 0.094 48.482 0.000 4.550 2.474
## .RNS4_sex_bod 4.182 0.102 41.086 0.000 4.182 2.093
## .RNS5_sex_bod 3.404 0.093 36.764 0.000 3.404 1.876
## .RNS6_sex_bod 2.640 0.078 33.695 0.000 2.640 1.719
## .RNS7_sex_bod 3.037 0.096 31.727 0.000 3.037 1.619
## .RNS8_sex_bod 2.921 0.091 32.070 0.000 2.921 1.635
## .RNS9_sex_bod 4.305 0.096 44.965 0.000 4.305 2.297
## .RNS10_sex_bod 3.689 0.090 41.003 0.000 3.689 2.089
## .NRS1_sex_bod 4.137 0.092 45.138 0.000 4.137 2.300
## .NRS2_sex_bod 3.143 0.084 37.541 0.000 3.143 1.914
## .NRS3_sex_bod 3.973 0.091 43.445 0.000 3.973 2.220
## .NRS4_sex_bod 3.737 0.090 41.558 0.000 3.737 2.119
## .NRS5_sex_bod 4.516 0.094 47.911 0.000 4.516 2.442
## .NRS6_sex_bod 2.966 0.087 34.242 0.000 2.966 1.742
## .NRS7_sex_bod 3.023 0.082 36.711 0.000 3.023 1.872
## .NRS8_sex_bod 3.961 0.089 44.563 0.000 3.961 2.272
## .NRS9_sex_bod 2.973 0.083 35.866 0.000 2.973 1.828
## .NRS10_sex_bod 3.518 0.090 39.036 0.000 3.518 1.988
## .RS1_sex_bod 4.861 0.094 51.851 0.000 4.861 2.641
## .RS2_sex_bod 5.359 0.086 62.030 0.000 5.359 3.161
## .RS3_sex_bod 4.710 0.095 49.633 0.000 4.710 2.527
## .RS4_2_sex_bod 5.069 0.090 56.612 0.000 5.069 2.885
## .RS5_2_sex_bod 4.142 0.094 43.961 0.000 4.142 2.239
## .RS6_2_sex_bod 4.496 0.091 49.325 0.000 4.496 2.513
## .RS7_2_sex_bod 5.062 0.093 54.331 0.000 5.062 2.771
## .RS8_2_sex_bod 5.092 0.094 54.268 0.000 5.092 2.766
## .RS9_2_sex_bod 5.315 0.090 59.149 0.000 5.315 3.011
## .RS10_2_sex_bod 4.887 0.096 50.932 0.000 4.887 2.595
## .NSNR1_reveal 1.667 0.060 27.760 0.000 1.667 1.416
## .NSNR2_reveal 2.036 0.064 31.877 0.000 2.036 1.626
## .NSNR3_reveal 2.463 0.061 40.300 0.000 2.463 2.058
## .NSNR4_reveal 2.450 0.069 35.426 0.000 2.450 1.805
## .NSNR5_reveal 1.800 0.063 28.629 0.000 1.800 1.460
## .NSNR6_reveal 2.179 0.059 36.669 0.000 2.179 1.869
## .NSNR7_reveal 2.583 0.064 40.442 0.000 2.583 2.058
## .NSNR8_reveal 1.615 0.064 25.083 0.000 1.615 1.281
## .NSNR9_reveal 2.431 0.067 36.342 0.000 2.431 1.850
## .NSNR10_reveal 1.930 0.068 28.182 0.000 1.930 1.437
## .RNS1_reveal 5.109 0.070 72.483 0.000 5.109 3.696
## .RNS2_reveal 3.603 0.075 48.268 0.000 3.603 2.459
## .RNS3_reveal 4.805 0.075 63.643 0.000 4.805 3.260
## .RNS4_reveal 5.930 0.073 80.890 0.000 5.930 4.127
## .RNS5_reveal 5.225 0.070 74.437 0.000 5.225 3.808
## .RNS6_reveal 5.379 0.079 68.018 0.000 5.379 3.474
## .RNS7_reveal 5.811 0.073 79.291 0.000 5.811 4.054
## .RNS8_reveal 5.341 0.077 69.239 0.000 5.341 3.535
## .RNS9_reveal 5.585 0.077 72.630 0.000 5.585 3.726
## .RNS10_reveal 5.132 0.077 66.710 0.000 5.132 3.406
## .NRS1_reveal 2.916 0.080 36.558 0.000 2.916 1.863
## .NRS2_reveal 2.808 0.064 43.875 0.000 2.808 2.236
## .NRS3_reveal 2.249 0.074 30.358 0.000 2.249 1.550
## .NRS4_reveal 2.923 0.075 38.822 0.000 2.923 1.979
## .NRS5_reveal 2.226 0.080 27.945 0.000 2.226 1.424
## .NRS6_reveal 2.786 0.080 34.741 0.000 2.786 1.767
## .NRS7_reveal 2.413 0.075 32.021 0.000 2.413 1.633
## .NRS8_reveal 2.557 0.075 34.166 0.000 2.557 1.742
## .NRS9_reveal 3.112 0.074 42.327 0.000 3.112 2.156
## .NRS10_reveal 2.248 0.074 30.497 0.000 2.248 1.553
## .RS1_reveal 5.688 0.075 75.574 0.000 5.688 3.864
## .RS2_reveal 5.877 0.071 83.105 0.000 5.877 4.250
## .RS3_reveal 5.308 0.079 67.393 0.000 5.308 3.437
## .RS4_1_reveal 5.889 0.071 83.032 0.000 5.889 4.246
## .RS5_1_reveal 4.440 0.073 61.212 0.000 4.440 3.123
## .RS6_1_reveal 5.581 0.074 75.434 0.000 5.581 3.860
## .RS7_1_reveal 5.978 0.073 81.902 0.000 5.978 4.199
## .RS8_1_reveal 5.574 0.079 70.241 0.000 5.574 3.595
## .RS9_1_reveal 5.941 0.072 82.978 0.000 5.941 4.233
## .RS10_1_reveal 6.041 0.068 88.742 0.000 6.041 4.538
## .NSNR_sexual_vg 1.906 0.047 40.205 0.000 1.906 2.043
## .RNS_sexual_avg 4.119 0.075 54.628 0.000 4.119 2.776
## .NRS_sexual_avg 3.415 0.069 49.160 0.000 3.415 2.499
## .RS_sexual_avg 4.966 0.080 62.092 0.000 4.966 3.156
## .POSE 0.000 0.000 0.000
## .REVEAL 0.000 0.000 0.000
## SEXUAL 0.000 0.000 0.000
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .NSNR1_sex_bod 1.030 0.075 13.668 0.000 1.030 0.823
## .NSNR2_sex_bod 1.011 0.073 13.785 0.000 1.011 0.894
## .NSNR3_sex_bod 1.351 0.098 13.733 0.000 1.351 0.872
## .NSNR4_sex_bod 1.368 0.100 13.628 0.000 1.368 0.652
## .NSNR5_sex_bod 1.066 0.078 13.747 0.000 1.066 0.842
## .NSNR6_sex_bod 1.203 0.088 13.737 0.000 1.203 0.827
## .NSNR7_sex_bod 0.995 0.072 13.770 0.000 0.995 0.822
## .NSNR8__sex_bod 0.913 0.066 13.757 0.000 0.913 0.882
## .NSNR9_sex_bod 1.432 0.104 13.710 0.000 1.432 0.750
## .NSNR10_sex_bod 1.366 0.099 13.770 0.000 1.366 0.879
## .RNS1_sex_bod 1.656 0.123 13.515 0.000 1.656 0.504
## .RNS2_sex_bod 1.575 0.115 13.663 0.000 1.575 0.688
## .RNS3_sex_bod 1.354 0.102 13.290 0.000 1.354 0.400
## .RNS4_sex_bod 2.112 0.156 13.561 0.000 2.112 0.529
## .RNS5_sex_bod 1.864 0.138 13.551 0.000 1.864 0.566
## .RNS6_sex_bod 1.608 0.118 13.659 0.000 1.608 0.682
## .RNS7_sex_bod 2.254 0.166 13.610 0.000 2.254 0.641
## .RNS8_sex_bod 1.985 0.146 13.603 0.000 1.985 0.622
## .RNS9_sex_bod 1.829 0.136 13.477 0.000 1.829 0.521
## .RNS10_sex_bod 1.471 0.109 13.470 0.000 1.471 0.472
## .NRS1_sex_bod 1.426 0.106 13.428 0.000 1.426 0.441
## .NRS2_sex_bod 1.241 0.093 13.397 0.000 1.241 0.460
## .NRS3_sex_bod 1.792 0.132 13.525 0.000 1.792 0.559
## .NRS4_sex_bod 1.364 0.102 13.402 0.000 1.364 0.438
## .NRS5_sex_bod 1.870 0.138 13.564 0.000 1.870 0.547
## .NRS6_sex_bod 1.722 0.126 13.629 0.000 1.722 0.594
## .NRS7_sex_bod 1.254 0.093 13.426 0.000 1.254 0.481
## .NRS8_sex_bod 1.472 0.109 13.478 0.000 1.472 0.484
## .NRS9_sex_bod 1.413 0.105 13.498 0.000 1.413 0.534
## .NRS10_sex_bod 1.624 0.120 13.546 0.000 1.624 0.519
## .RS1_sex_bod 1.109 0.085 13.012 0.000 1.109 0.327
## .RS2_sex_bod 1.035 0.079 13.067 0.000 1.035 0.360
## .RS3_sex_bod 1.309 0.099 13.287 0.000 1.309 0.377
## .RS4_2_sex_bod 1.138 0.087 13.134 0.000 1.138 0.369
## .RS5_2_sex_bod 1.350 0.101 13.348 0.000 1.350 0.395
## .RS6_2_sex_bod 0.959 0.074 13.011 0.000 0.959 0.300
## .RS7_2_sex_bod 1.176 0.090 13.063 0.000 1.176 0.352
## .RS8_2_sex_bod 1.168 0.089 13.097 0.000 1.168 0.345
## .RS9_2_sex_bod 1.192 0.091 13.126 0.000 1.192 0.382
## .RS10_2_sex_bod 1.339 0.101 13.244 0.000 1.339 0.378
## .NSNR1_reveal 0.750 0.062 12.184 0.000 0.750 0.541
## .NSNR2_reveal 1.051 0.081 13.017 0.000 1.051 0.670
## .NSNR3_reveal 0.766 0.059 12.935 0.000 0.766 0.535
## .NSNR4_reveal 0.909 0.069 13.084 0.000 0.909 0.493
## .NSNR5_reveal 0.841 0.069 12.252 0.000 0.841 0.553
## .NSNR6_reveal 0.727 0.057 12.770 0.000 0.727 0.535
## .NSNR7_reveal 0.696 0.054 12.950 0.000 0.696 0.442
## .NSNR8_reveal 1.027 0.081 12.740 0.000 1.027 0.646
## .NSNR9_reveal 0.912 0.071 12.770 0.000 0.912 0.528
## .NSNR10_reveal 0.963 0.077 12.519 0.000 0.963 0.534
## .RNS1_reveal 1.464 0.112 13.027 0.000 1.464 0.766
## .RNS2_reveal 1.205 0.091 13.269 0.000 1.205 0.562
## .RNS3_reveal 1.571 0.122 12.888 0.000 1.571 0.723
## .RNS4_reveal 1.872 0.139 13.497 0.000 1.872 0.907
## .RNS5_reveal 1.485 0.114 13.078 0.000 1.485 0.789
## .RNS6_reveal 2.140 0.159 13.447 0.000 2.140 0.892
## .RNS7_reveal 1.835 0.137 13.393 0.000 1.835 0.893
## .RNS8_reveal 1.873 0.143 13.139 0.000 1.873 0.821
## .RNS9_reveal 1.961 0.148 13.295 0.000 1.961 0.873
## .RNS10_reveal 1.894 0.143 13.275 0.000 1.894 0.834
## .NRS1_reveal 1.056 0.080 13.119 0.000 1.056 0.431
## .NRS2_reveal 0.662 0.052 12.784 0.000 0.662 0.420
## .NRS3_reveal 0.987 0.078 12.609 0.000 0.987 0.469
## .NRS4_reveal 0.910 0.070 13.056 0.000 0.910 0.417
## .NRS5_reveal 1.066 0.087 12.318 0.000 1.066 0.436
## .NRS6_reveal 0.986 0.077 12.848 0.000 0.986 0.397
## .NRS7_reveal 0.899 0.072 12.508 0.000 0.899 0.411
## .NRS8_reveal 0.868 0.069 12.594 0.000 0.868 0.403
## .NRS9_reveal 0.766 0.059 12.949 0.000 0.766 0.368
## .NRS10_reveal 0.902 0.075 12.044 0.000 0.902 0.430
## .RS1_reveal 1.896 0.142 13.317 0.000 1.896 0.875
## .RS2_reveal 1.702 0.127 13.366 0.000 1.702 0.890
## .RS3_reveal 1.862 0.141 13.178 0.000 1.862 0.781
## .RS4_1_reveal 1.713 0.128 13.390 0.000 1.713 0.891
## .RS5_1_reveal 1.389 0.108 12.901 0.000 1.389 0.687
## .RS6_1_reveal 1.762 0.133 13.200 0.000 1.762 0.843
## .RS7_1_reveal 1.861 0.138 13.465 0.000 1.861 0.918
## .RS8_1_reveal 2.028 0.153 13.218 0.000 2.028 0.843
## .RS9_1_reveal 1.745 0.130 13.395 0.000 1.745 0.886
## .RS10_1_reveal 1.623 0.120 13.497 0.000 1.623 0.916
## .NSNR_sexual_vg 0.664 0.049 13.423 0.000 0.664 0.763
## .RNS_sexual_avg 0.348 0.035 9.938 0.000 0.348 0.158
## .NRS_sexual_avg 0.456 0.039 11.696 0.000 0.456 0.244
## .RS_sexual_avg 0.398 0.039 10.072 0.000 0.398 0.161
## .POSE 0.016 0.004 4.321 0.000 0.072 0.072
## .REVEAL 0.367 0.056 6.503 0.000 0.578 0.578
## SEXUAL 0.206 0.034 6.004 0.000 1.000 1.000
##
## R-Square:
## Estimate
## NSNR1_sex_bod 0.177
## NSNR2_sex_bod 0.106
## NSNR3_sex_bod 0.128
## NSNR4_sex_bod 0.348
## NSNR5_sex_bod 0.158
## NSNR6_sex_bod 0.173
## NSNR7_sex_bod 0.178
## NSNR8__sex_bod 0.118
## NSNR9_sex_bod 0.250
## NSNR10_sex_bod 0.121
## RNS1_sex_bod 0.496
## RNS2_sex_bod 0.312
## RNS3_sex_bod 0.600
## RNS4_sex_bod 0.471
## RNS5_sex_bod 0.434
## RNS6_sex_bod 0.318
## RNS7_sex_bod 0.359
## RNS8_sex_bod 0.378
## RNS9_sex_bod 0.479
## RNS10_sex_bod 0.528
## NRS1_sex_bod 0.559
## NRS2_sex_bod 0.540
## NRS3_sex_bod 0.441
## NRS4_sex_bod 0.562
## NRS5_sex_bod 0.453
## NRS6_sex_bod 0.406
## NRS7_sex_bod 0.519
## NRS8_sex_bod 0.516
## NRS9_sex_bod 0.466
## NRS10_sex_bod 0.481
## RS1_sex_bod 0.673
## RS2_sex_bod 0.640
## RS3_sex_bod 0.623
## RS4_2_sex_bod 0.631
## RS5_2_sex_bod 0.605
## RS6_2_sex_bod 0.700
## RS7_2_sex_bod 0.648
## RS8_2_sex_bod 0.655
## RS9_2_sex_bod 0.618
## RS10_2_sex_bod 0.622
## NSNR1_reveal 0.459
## NSNR2_reveal 0.330
## NSNR3_reveal 0.465
## NSNR4_reveal 0.507
## NSNR5_reveal 0.447
## NSNR6_reveal 0.465
## NSNR7_reveal 0.558
## NSNR8_reveal 0.354
## NSNR9_reveal 0.472
## NSNR10_reveal 0.466
## RNS1_reveal 0.234
## RNS2_reveal 0.438
## RNS3_reveal 0.277
## RNS4_reveal 0.093
## RNS5_reveal 0.211
## RNS6_reveal 0.108
## RNS7_reveal 0.107
## RNS8_reveal 0.179
## RNS9_reveal 0.127
## RNS10_reveal 0.166
## NRS1_reveal 0.569
## NRS2_reveal 0.580
## NRS3_reveal 0.531
## NRS4_reveal 0.583
## NRS5_reveal 0.564
## NRS6_reveal 0.603
## NRS7_reveal 0.589
## NRS8_reveal 0.597
## NRS9_reveal 0.632
## NRS10_reveal 0.570
## RS1_reveal 0.125
## RS2_reveal 0.110
## RS3_reveal 0.219
## RS4_1_reveal 0.109
## RS5_1_reveal 0.313
## RS6_1_reveal 0.157
## RS7_1_reveal 0.082
## RS8_1_reveal 0.157
## RS9_1_reveal 0.114
## RS10_1_reveal 0.084
## NSNR_sexual_vg 0.237
## RNS_sexual_avg 0.842
## NRS_sexual_avg 0.756
## RS_sexual_avg 0.839
## POSE 0.928
## REVEAL 0.422Figure
I know it's messy, it's because we have so many predictors.
