التفاصيل البيبلوغرافية
| العنوان: |
The impact of visual memory impairment on Victoria Symptom Validity Test performance: A known-groups analysis. |
| المؤلفون: |
Stocks, Jane K., Shields, Allison N., DeBoer, Adam B., Cerny, Brian M., Ogram Buckley, Caitlin M., Ovsiew, Gabriel P., Jennette, Kyle J., Resch, Zachary J., Basurto, Karen S., Song, Woojin, Pliskin, Neil H., Soble, Jason R. |
| المصدر: |
Applied Neuropsychology: Adult; Jul/Aug2024, Vol. 31 Issue 4, p329-338, 10p |
| مصطلحات موضوعية: |
STIMULUS & response (Psychology), VISUAL learning, TEST validity, MEMORY testing, MEMORY disorders |
| مستخلص: |
We assessed the effect of visual learning and recall impairment on Victoria Symptom Validity Test (VSVT) accuracy and response latency for Easy, Difficult, and Total Items. A sample of 163 adult patients administered the VSVT and Brief Visuospatial Memory Test-Revised were classified as valid (114/163) or invalid (49/163) groups via independent criterion performance validity tests (PVTs). Classification accuracies for all VSVT indices were examined for the overall sample, and separately for subgroups based on visual memory functioning. In the overall sample, all indices produced acceptable classification accuracy (areas under the curve [AUCs] ≥ 0.79). When stratified by visual learning/recall impairment, accuracy indices yielded acceptable classification for both the unimpaired (AUCs ≥0.79) and impaired subsamples (AUCs ≥0.75). Latency indices had acceptable classification accuracy for the unimpaired subsample (AUCs ≥0.74), but accuracy and sensitivity dropped for the impaired sample (AUCs ≥0.67). VSVT accuracy and response latency yielded acceptable classification accuracies in the overall sample, and this effect was maintained in those with and without visual learning/recall impairment for the accuracy indices. Findings indicate that the VSVT is a psychometrically robust PVT with largely invariant cut-scores, even in the presence of bona fide visual learning/recall impairment. [ABSTRACT FROM AUTHOR] |
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| قاعدة البيانات: |
Complementary Index |
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