Boone, K. B. (2009). The need for continuous and comprehensive sampling of effort/response bias during neuropsychological examinations. The Clinical Neuropsychologist, 23(4), 729–741. https://doi.org/10.1080/13854040802427803

Article  PubMed  Google Scholar 

Boone, K. B. (2013). Clinical practice of forensic neuropsychology: An evidence-based approach. Guilford Press.

Brockhaus, R., & Merten, T. (2004). Neuropsychologische Diagnostik suboptimalen Leistungsverhaltens mit dem Word Memory Test [Neuropsychological assessment of suboptimal performance: The Word Memory Test]. Der Nervenarzt, 75(9), 882–887. https://doi.org/10.1007/s00115-003-1592-4

Article  PubMed  Google Scholar 

Carter, J. V., Pan, J., Rai, S. N., & Galandiuk, S. (2016). ROC-ing along: Evaluation and interpretation of receiver operating characteristic curves. Surgery, 159(6), 1638–1645. https://doi.org/10.1016/j.surg.2015.12.029

Article  PubMed  Google Scholar 

Christiansen, M. S., Labriola, M., Kirkeskov, L., & Lund, T. (2021). The impact of childhood diagnosed ADHD versus controls without ADHD diagnoses on later labour market attachment—a systematic review of longitudinal studies. Child and Adolescent Psychiatry and Mental Health, 15(1), 34. https://doi.org/10.1186/s13034-021-00386-2

Article  PubMed  PubMed Central  Google Scholar 

Cohen, J. (2013). Statistical power analysis for the behavioral sciences (2nd ed.). Routledge. https://doi.org/10.4324/9780203771587

Cottingham, M. E. (2021). Clinician’s guide to navigating performance validity testing. In K. B. Boone (Ed.), Assessment of feigned cognitive impairment: A neuropsychological perspective (2nd ed., pp. 3–10). The Guilford Press.

Czornik, M., Seidl, D., Tavakoli, S., Merten, T., & Lehrner, J. (2022). Motor reaction times as an embedded measure of performance validity: A study with a sample of Austrian early retirement claimants. Psychological Injury and Law, 15(2), 200–212. https://doi.org/10.1007/s12207-021-09431-z

Article  Google Scholar 

Dandachi-FitzGerald, B., & Martin, P. K. (2022). Clinical judgment and clinically applied statistics: Description, benefits, and potential dangers when relying on either one individually in clinical practice. In R. W. Schroeder & P. K. Martin (Eds.), Validity assessment in clinical neuropsychological practice: Evaluating and managing noncredible performance (pp. 107–125). The Guilford Press.

Google Scholar 

Dandachi-FitzGerald, B., Ponds, R. W. H. M., & Merten, T. (2013). Symptom validity and neuropsychological assessment: A survey of practices and beliefs of neuropsychologists in six European countries. Archives of Clinical Neuropsychology, 28(8), 771–783. https://doi.org/10.1093/arclin/act073

Article  PubMed  Google Scholar 

Dandachi-FitzGerald, B., Duits, A. A., Leentjens, A. F., Verhey, F. R., & Ponds, R. W. (2020). Performance and symptom validity assessment in patients with apathy and cognitive impairment. Journal of the International Neuropsychological Society, 26(3), 314–321. https://doi.org/10.1017/s1355617719001139

Article  PubMed  Google Scholar 

Dandachi-FitzGerald, B., Merckelbach, H., & Merten, T. (2022). Cry for help as a root cause of poor symptom validity: A critical note. Applied Neuropsychology: Adult, 31(4), 527–532. https://doi.org/10.1080/23279095.2022.2040025

Article  PubMed  Google Scholar 

Delacre, M., Lakens, D., & Leys, C. (2017). Why psychologists should by default use Welch’s t-test instead of Student’s t-test. International Review of Social Psychology, 30(1), 92–101. https://doi.org/10.5334/irsp.82

Article  Google Scholar 

Erdodi, L. A. (2017). Aggregating validity indicators: The salience of domain specificity and the indeterminate range in multivariate models of performance validity assessment. Applied Neuropsychology: Adult, 26(2), 155–172. https://doi.org/10.1080/23279095.2017.1384925

Article  PubMed  Google Scholar 

Erdodi, L. A. (2023). Multivariate models of performance validity: The Erdodi index captures the dual nature of non-credible responding (continuous and categorical). Assessment, 30(5), 1467–1485. https://doi.org/10.1177/10731911221101910

Article  PubMed  Google Scholar 

Erdodi, L. A., Green, P., Sirianni, C. D., & Abeare, C. A. (2019). The myth of high false positive rates on the Word Memory Test in mild TBI. Psychological Injury and Law, 12(2), 155–169. https://doi.org/10.1007/s12207-019-09356-8

Article  Google Scholar 

Erdodi, L. A., & Lichtenstein, J. D. (2017). Invalid before impaired: An emerging paradox of embedded validity indicators. The Clinical Neuropsychologist, 31(6–7), 1029–1046. https://doi.org/10.1080/13854046.2017.1323119

Article  PubMed  Google Scholar 

Fuermaier, A. B. M., Tucha, O., Koerts, J., Grabski, M., Lange, K. W., Weisbrod, M., Aschenbrenner, S., & Tucha, L. (2016). The development of an embedded figures test for the detection of feigned attention deficit hyperactivity disorder in adulthood. PLoS One, 11(10), e0164297. https://doi.org/10.1371/journal.pone.0164297

Article  PubMed  PubMed Central  Google Scholar 

Fuermaier, A. B. M., Tucha, O., Koerts, J., Lange, K. W., Weisbrod, M., Aschenbrenner, S., & Tucha, L. (2017). Noncredible cognitive performance at clinical evaluation of adult ADHD: An embedded validity indicator in a visuospatial working memory test. Psychological Assessment, 29(12), 1466–1479. https://doi.org/10.1037/pas0000534

Article  PubMed  Google Scholar 

Fuermaier, A. B. M., Tucha, O., Russ, D., Ehrenstein, J. K., Stanke, M., Heindorf, R., Buggenthin, R., Aschenbrenner, S., Koerts, J., & Tucha, L. (2020). Utility of an attention-based performance validity test for the detection of feigned cognitive dysfunction after acquired brain injury. Journal of Clinical and Experimental Neuropsychology, 42(3), 285–297. https://doi.org/10.1080/13803395.2019.1710468

Article  PubMed  Google Scholar 

Fuermaier, A., Tucha, O., Koerts, J., Aschenbrenner, S., & Tucha, L. (2021). Test manual: The Groningen Effort Test (GET)-revised. Schuhfried.

Green, P. (2003). Green’s Word Memory Test. User’s manual. Green’s Publishing.

Greher, M. R., & Wodushek, T. R. (2017). Performance validity testing in neuropsychology: Scientific basis and clinical application—A brief review. Journal of Psychiatric Practice, 23(2), 134–140. https://doi.org/10.1097/pra.0000000000000218

Article  PubMed  Google Scholar 

Greiffenstein, M. F., Baker, W. J., & Gola, T. (1994). Validation of malingered amnesia measures with a large clinical sample. Psychological Assessment, 6(3), 218–224. https://doi.org/10.1037/1040-3590.6.3.218

Article  Google Scholar 

Guilmette, T. J., Sweet, J. J., Hebben, N., Koltai, D., Mahone, E. M., Spiegler, B. J., Stucky, K., & Westerveld, M. (2020). American Academy of Clinical Neuropsychology consensus conference statement on uniform labeling of performance test scores. The Clinical Neuropsychologist, 34(3), 437–453. https://doi.org/10.1080/13854046.2020.1722244

Article  PubMed  Google Scholar 

Heilbronner, R. L., Sweet, J. J., Morgan, J. E., Larrabee, G. J., Millis, S. R., & Participants, N. C. (2009). American Academy of Clinical Neuropsychology consensus conference statement on the neuropsychological assessment of effort, response bias, and malingering. The Clinical Neuropsychologist, 23(7), 1093–1129. https://doi.org/10.1080/13854040903155063

Article  PubMed  Google Scholar 

Heinly, M. T., Greve, K. W., Bianchini, K. J., Love, J. M., & Brennan, A. (2005). WAIS digit span-based indicators of malingered neurocognitive dysfunction. Assessment, 12(4), 429–444. https://doi.org/10.1177/1073191105281099

Article  PubMed  Google Scholar 

Hilbert, S., Nakagawa, T. T., Puci, P., Zech, A., & Bühner, M. (2014). The digit span backwards task. European Journal of Psychological Assessment, 31(3), 174–180. https://doi.org/10.1027/1015-5759/a000223

Article  Google Scholar 

Hirst, R. B., Han, C. S., Teague, A. M., Rosen, A. S., Gretler, J., & Quittner, Z. (2017). Adherence to validity testing recommendations in neuropsychological assessment: A survey of INS and NAN members. Archives of Clinical Neuropsychology, 32(4), 456–471. https://doi.org/10.1093/arclin/acx009

Article  PubMed  Google Scholar 

Jongsma, K. R., van Bruchem-Visser, R. L., van de Vathorst, S., & Mattace Raso, F. U. S. (2016). Has dementia research lost its sense of reality? A descriptive analysis of eligibility criteria of Dutch dementia research protocols. PubMed, 74(5), 201–209. https://pubmed.ncbi.nlm.nih.gov/27323673

Kata, G., & Poleszak, W. (2021). Cognitive functioning and safety determinants in the work of train drivers. Acta Neuropsychologica, 19(2), 279–291. https://doi.org/10.5604/01.3001.0014.9958

Article  Google Scholar 

Kneidinger, J., Fuermaier, A. B. M., Raasch, E., Albrecht, B., & Christiansen, H. (2024). Advancing adult ADHD assessment? The utility of attention-based performance validity testing. [Poster presentation]. 7th European Conference on Symptom Validity Assessment (SVA). https://sva-europe.com/

Larrabee, G. J. (2008). Aggregation across multiple indicators improves the detection of malingering: Relationship to likelihood ratios. The Clinical Neuropsychologist, 22(4), 666–679. https://doi.org/10.1080/13854040701494987

Article  PubMed  Google Scholar 

Larrabee, G. J. (2012). Performance validity and symptom validity in neuropsychological assessment. Journal of the International Neuropsychological Society, 18(4), 625–630. https://doi.org/10.1017/s1355617712000240

Article  PubMed  Google Scholar 

Larrabee, G. J., Millis, S. R., & Meyers, J. E. (2009). 40 plus or minus 10, a new magical number: Reply to Russell. The Clinical Neuropsychologist, 23(5), 841–849. https://doi.org/10.1080/13854040902796735

Article  PubMed  Google Scholar 

Lippa, S. M. (2018). Performance validity testing in neuropsychology: A clinical guide, critical review, and update on a rapidly evolving literature. The Clinical Neuropsychologist, 32(3), 391–421. https://doi.org/10.1080/13854046.2017.1406146

Article  PubMed  Google Scholar 

Lippa, S. M., Agbayani, K. A., Hawes, S., Jokic, E., & Caroselli, J. S. (2014). Effort in acute traumatic brain injury: Considering more than pass/fail. Rehabilitation Psychology, 59(3), 306–312. https://doi.org/10.1037/a0037217

Article  PubMed  PubMed Central