A. Factor loadings
Presents factor loadings from each model.
1. Forrest Plots
- Presents a series of Forrest plots (Pearson’s correlation coefficients). Each plot displays the association between an outcome (e.g., FTLD sobs) and the original TabCAT-EXAMINER score as well as a factor score generated from a subset of components. Each row designates which component is MISSING.
2. Overlapping histograms
- Presents overlapping histograms comparing distributions of the full TabCAT-EXAMINER score and a score missing a specified component.

A. Factor loadings

Presents factor loadings from each model.

Model Factor Loadings
X	EF_full	EF_no_RD	EF_no_DC	EF_no_FL	EF_no_MA	EF_no_SS	EF_no_AN	EF_no_VE	EF_no_fw	EF_no_lw
rundots_r	0.58	0.00	0.57	0.58	0.51	0.61	0.60	0.58	0.59	0.58
dotcount_r	0.61	0.60	0.00	0.62	0.59	0.63	0.61	0.61	0.61	0.60
flanker_r	0.83	0.84	0.84	0.00	0.79	0.81	0.83	0.83	0.83	0.83
setshift_r	0.86	0.87	0.87	0.84	0.81	0.00	0.87	0.87	0.86	0.87
match_r	0.91	0.90	0.91	0.89	0.00	0.88	0.92	0.91	0.91	0.91
animals_r	0.79	0.79	0.78	0.82	0.86	0.84	0.00	0.78	0.76	0.77
veg_r	0.70	0.70	0.69	0.73	0.77	0.75	0.69	0.00	0.68	0.68
fwords_r	0.78	0.80	0.79	0.81	0.87	0.82	0.76	0.78	0.00	0.78
lwords_r	0.74	0.75	0.74	0.77	0.83	0.78	0.71	0.73	0.73	0.00

1. Forrest Plots

Presents a series of Forrest plots (Pearson’s correlation coefficients). Each plot displays the association between an outcome (e.g., FTLD sobs) and the original TabCAT-EXAMINER score as well as a factor score generated from a subset of components. Each row designates which component is MISSING.

##          vars   n    mean      sd median trimmed     mad  min   max range  skew
## rundots     1 560  302.74   78.15    320  311.28   74.13    0   420   420 -1.19
## dotcount    2 671   15.27    5.74     15   15.46    5.93    0    27    27 -0.28
## flanker     3 593 7456.43 1369.63   7660 7548.54 1408.47 4000 10000  6000 -0.54
## setshift    4 708 7035.98 1528.82   7300 7149.57 1401.06    0 10000 10000 -0.77
## match       5 693   43.71   13.32     46   44.75   13.34    0    71    71 -0.74
## animals     6 463   18.76    8.93     19   18.81   10.38    0    41    41 -0.03
## veg         7 458   11.95    6.23     12   11.90    5.93    0    31    31  0.08
## fwords      8 460   12.45    6.39     13   12.40    7.41    0    37    37  0.10
## lwords      9 459   11.51    5.78     11   11.50    7.41    0    25    25  0.04
##          kurtosis    se
## rundots      1.89  3.30
## dotcount    -0.23  0.22
## flanker     -0.35 56.24
## setshift     0.57 57.46
## match        0.35  0.51
## animals     -0.62  0.41
## veg         -0.49  0.29
## fwords      -0.49  0.30
## lwords      -0.80  0.27

##    executivecomposite_r  Estimate    CI.low   CI.high
## 1  executivecomposite_r 1.0000000 1.0000000 1.0000000
## 2               ef_full 0.9992429 0.9991300 0.9993412
## 3              ef_no_an 0.9952958 0.9945956 0.9959055
## 4              ef_no_fw 0.9969912 0.9965429 0.9973815
## 5              ef_no_rd 0.9897786 0.9882619 0.9911001
## 6              ef_no_dc 0.9932801 0.9922810 0.9941503
## 7              ef_no_fl 0.9859415 0.9838602 0.9877561
## 8              ef_no_ma 0.9617391 0.9561537 0.9666251
## 9              ef_no_ss 0.9716462 0.9674831 0.9752830
## 10             ef_no_ve 0.9988828 0.9987162 0.9990278
## 11             ef_no_lw 0.9983669 0.9981234 0.9985788

##             ftldcdr_sob  Estimate    CI.low   CI.high
## 1  executivecomposite_r 0.6408883 0.6090615 0.6706545
## 2               ef_full 0.6766765 0.6315103 0.7172660
## 3              ef_no_an 0.6728762 0.6272972 0.7138614
## 4              ef_no_fw 0.6764858 0.6312989 0.7170952
## 5              ef_no_rd 0.6774677 0.6323878 0.7179746
## 6              ef_no_dc 0.6663069 0.6200204 0.7079714
## 7              ef_no_fl 0.6758203 0.6305609 0.7164991
## 8              ef_no_ma 0.6660193 0.6197020 0.7077134
## 9              ef_no_ss 0.6864278 0.6423333 0.7259932
## 10             ef_no_ve 0.6742029 0.6287677 0.7150502
## 11             ef_no_lw 0.6716806 0.6259722 0.7127898

##                     age   Estimate     CI.low    CI.high
## 1  executivecomposite_r -0.4236812 -0.4614536 -0.3843754
## 2               ef_full -0.4994249 -0.5504238 -0.4447128
## 3              ef_no_an -0.5026291 -0.5533988 -0.4481383
## 4              ef_no_fw -0.5045928 -0.5552213 -0.4502384
## 5              ef_no_rd -0.4715214 -0.5244615 -0.4149495
## 6              ef_no_dc -0.4897826 -0.5414634 -0.4344141
## 7              ef_no_fl -0.4936836 -0.5450899 -0.4385789
## 8              ef_no_ma -0.4143676 -0.4709747 -0.3543619
## 9              ef_no_ss -0.5207639 -0.5702119 -0.4675559
## 10             ef_no_ve -0.4988007 -0.5498441 -0.4440457
## 11             ef_no_lw -0.5026025 -0.5533741 -0.4481099

##               education  Estimate     CI.low   CI.high
## 1  executivecomposite_r 0.2152777 0.16884475 0.2607573
## 2               ef_full 0.1379117 0.06615791 0.2082466
## 3              ef_no_an 0.1347176 0.06291686 0.2051310
## 4              ef_no_fw 0.1286459 0.05676013 0.1992047
## 5              ef_no_rd 0.1570199 0.08557840 0.2268550
## 6              ef_no_dc 0.1314113 0.05956355 0.2019045
## 7              ef_no_fl 0.1496886 0.07812090 0.2197215
## 8              ef_no_ma 0.1641934 0.09288321 0.2338277
## 9              ef_no_ss 0.1321198 0.06028196 0.2025960
## 10             ef_no_ve 0.1384764 0.06673098 0.2087972
## 11             ef_no_lw 0.1373558 0.06559372 0.2077044

##        dspan_bck_length  Estimate    CI.low   CI.high
## 1  executivecomposite_r 0.5907165 0.5550146 0.6242462
## 2               ef_full 0.6573196 0.6086451 0.7010653
## 3              ef_no_an 0.6574917 0.6088358 0.7012193
## 4              ef_no_fw 0.6597805 0.6113735 0.7032682
## 5              ef_no_rd 0.6616639 0.6134625 0.7049537
## 6              ef_no_dc 0.6394363 0.5888518 0.6850310
## 7              ef_no_fl 0.6631514 0.6151128 0.7062845
## 8              ef_no_ma 0.6558027 0.6069638 0.6997069
## 9              ef_no_ss 0.6552588 0.6063611 0.6992198
## 10             ef_no_ve 0.6562782 0.6074908 0.7001327
## 11             ef_no_lw 0.6522554 0.6030338 0.6965291

##              traila_rev  Estimate    CI.low   CI.high
## 1  executivecomposite_r 0.7228862 0.6762551 0.7637475
## 2               ef_full 0.7354690 0.6903120 0.7749182
## 3              ef_no_an 0.7335708 0.6881481 0.7732661
## 4              ef_no_fw 0.7329373 0.6874260 0.7727147
## 5              ef_no_rd 0.7309808 0.6851966 0.7710110
## 6              ef_no_dc 0.7292495 0.6832246 0.7695031
## 7              ef_no_fl 0.7273389 0.6810491 0.7678383
## 8              ef_no_ma 0.6849902 0.6330382 0.7307995
## 9              ef_no_ss 0.7321414 0.6865189 0.7720216
## 10             ef_no_ve 0.7320472 0.6864116 0.7719396
## 11             ef_no_lw 0.7331167 0.6876305 0.7728708

##              trailb_rev  Estimate    CI.low   CI.high
## 1  executivecomposite_r 0.7592442 0.7159841 0.7966957
## 2               ef_full 0.7628764 0.7199482 0.7999895
## 3              ef_no_an 0.7565602 0.7126749 0.7945466
## 4              ef_no_fw 0.7558486 0.7118560 0.7939330
## 5              ef_no_rd 0.7594688 0.7160231 0.7970538
## 6              ef_no_dc 0.7548145 0.7106664 0.7930413
## 7              ef_no_fl 0.7656548 0.7231506 0.8023818
## 8              ef_no_ma 0.7407130 0.6944678 0.7808638
## 9              ef_no_ss 0.7606156 0.7173437 0.7980420
## 10             ef_no_ve 0.7587252 0.7151669 0.7964130
## 11             ef_no_lw 0.7582074 0.7145708 0.7959667

##        tabcat_lineo_rev  Estimate    CI.low   CI.high
## 1  executivecomposite_r 0.4130235 0.3680810 0.4560406
## 2               ef_full 0.4045716 0.3231229 0.4800708
## 3              ef_no_an 0.4036637 0.3221508 0.4792354
## 4              ef_no_fw 0.4055219 0.3241406 0.4809452
## 5              ef_no_rd 0.4127026 0.3318371 0.4875470
## 6              ef_no_dc 0.3923470 0.3100475 0.4688100
## 7              ef_no_fl 0.3891199 0.3066010 0.4658333
## 8              ef_no_ma 0.3845094 0.3016808 0.4615773
## 9              ef_no_ss 0.4068657 0.3255801 0.4821813
## 10             ef_no_ve 0.4030188 0.3214603 0.4786418
## 11             ef_no_lw 0.4010216 0.3193226 0.4768033

##             benson_copy  Estimate    CI.low   CI.high
## 1  executivecomposite_r 0.4848435 0.4431863 0.5244112
## 2               ef_full 0.5072643 0.4440241 0.5654758
## 3              ef_no_an 0.5078363 0.4446425 0.5659996
## 4              ef_no_fw 0.5055353 0.4421553 0.5638919
## 5              ef_no_rd 0.5069241 0.4436563 0.5651642
## 6              ef_no_dc 0.4969402 0.4328734 0.5560120
## 7              ef_no_fl 0.4943442 0.4300728 0.5536300
## 8              ef_no_ma 0.4654828 0.3990183 0.5270815
## 9              ef_no_ss 0.4954192 0.4312323 0.5546165
## 10             ef_no_ve 0.5048942 0.4414625 0.5633046
## 11             ef_no_lw 0.5039832 0.4404782 0.5624698

##            cvltsf_delay  Estimate    CI.low   CI.high
## 1  executivecomposite_r 0.6397680 0.6006678 0.6758151
## 2               ef_full 0.6812017 0.6316372 0.7252202
## 3              ef_no_an 0.6737293 0.6232634 0.7186069
## 4              ef_no_fw 0.6759092 0.6257051 0.7205370
## 5              ef_no_rd 0.6783402 0.6284292 0.7226886
## 6              ef_no_dc 0.6746007 0.6242393 0.7193785
## 7              ef_no_fl 0.6836344 0.6343659 0.7273715
## 8              ef_no_ma 0.6659142 0.6145179 0.7116816
## 9              ef_no_ss 0.7012799 0.6541949 0.7429500
## 10             ef_no_ve 0.6779396 0.6279802 0.7223341
## 11             ef_no_lw 0.6802350 0.6305533 0.7243651

##         tabcat_favorite  Estimate    CI.low   CI.high
## 1  executivecomposite_r 0.6328871 0.5982539 0.6651601
## 2               ef_full 0.6395249 0.5813227 0.6912161
## 3              ef_no_an 0.6436009 0.5858906 0.6948164
## 4              ef_no_fw 0.6436121 0.5859032 0.6948263
## 5              ef_no_rd 0.6267469 0.5670265 0.6799127
## 6              ef_no_dc 0.6300657 0.5707361 0.6828509
## 7              ef_no_fl 0.6422953 0.5844270 0.6936634
## 8              ef_no_ma 0.5688891 0.5027411 0.6284136
## 9              ef_no_ss 0.6351280 0.5763993 0.6873294
## 10             ef_no_ve 0.6379314 0.5795379 0.6898079
## 11             ef_no_lw 0.6388135 0.5805259 0.6905874

##             bnt_convert  Estimate    CI.low   CI.high
## 1  executivecomposite_r 0.3469794 0.2354802 0.4494634
## 2               ef_full 0.3476457 0.2357466 0.4504471
## 3              ef_no_an 0.3191892 0.2052874 0.4245602
## 4              ef_no_fw 0.3401100 0.2276591 0.4436087
## 5              ef_no_rd 0.3614130 0.2505621 0.4629095
## 6              ef_no_dc 0.3557522 0.2444640 0.4577901
## 7              ef_no_fl 0.3663160 0.2558510 0.4673382
## 8              ef_no_ma 0.4232749 0.3177813 0.5184172
## 9              ef_no_ss 0.4047610 0.2975523 0.5018886
## 10             ef_no_ve 0.3373563 0.2247075 0.4411067
## 11             ef_no_lw 0.3394966 0.2270014 0.4430514

2. Overlapping histograms

Presents overlapping histograms comparing distributions of the full TabCAT-EXAMINER score and a score missing a specified component.

## Warning: Removed 966 rows containing non-finite outside the scale range
## (`stat_bin()`).

## Warning: Removed 966 rows containing non-finite outside the scale range
## (`stat_bin()`).

## Warning: Removed 966 rows containing non-finite outside the scale range
## (`stat_bin()`).

## Warning: Removed 966 rows containing non-finite outside the scale range
## (`stat_bin()`).

## Warning: Removed 966 rows containing non-finite outside the scale range
## (`stat_bin()`).

## Warning: Removed 966 rows containing non-finite outside the scale range
## (`stat_bin()`).

## Warning: Removed 966 rows containing non-finite outside the scale range
## (`stat_bin()`).

## Warning: Removed 966 rows containing non-finite outside the scale range
## (`stat_bin()`).

## Warning: Removed 966 rows containing non-finite outside the scale range
## (`stat_bin()`).

## Warning: Removed 966 rows containing non-finite outside the scale range
## (`stat_bin()`).

TabCAT-EXAMINER component check

Mark Sanderson-cimino

2024-09-1

A. Factor loadings

Presents factor loadings from each model.

1. Forrest Plots

Presents a series of Forrest plots (Pearson’s correlation coefficients). Each plot displays the association between an outcome (e.g., FTLD sobs) and the original TabCAT-EXAMINER score as well as a factor score generated from a subset of components. Each row designates which component is MISSING.

2. Overlapping histograms

Presents overlapping histograms comparing distributions of the full TabCAT-EXAMINER score and a score missing a specified component.