Review of Statistical and Methodological Issues in the Forensic Prediction of Malingering from Validity Tests: Part I: Statistical Issues

Aita, S. L., Borgogna, N. C., Aita, L. J., Ogden, M. L., & Hill, B. D. (2020). Comparison of clinical psychologist and physician beliefs and practices concerning malingering: Results from a mixed methods study. Psychological Injury and Law, 13(3), 246–260. https://doi.org/10.1007/s12207-020-09374-x

Article  Google Scholar 

Al-Khairullah, N. A., & Al-Baldawi, T. H. K. (2021). Bayesian computational methods of the logistic regression model. Journal of Physics: Conference Series, 1804(1), 012073. https://doi.org/10.1088/1742-6596/1804/1/012073

American Psychiatric Association. (2000). Diagnostic and statistical manual of mental disorders: DSM-IV-TR. (4th ed., text revision.). American Psychiatric Association.

Armistead-Jehle, P., & Gervais, R. O. (2011). Sensitivity of the test of memory malingering and the Nonverbal Medical Symptom Validity Test: A replication study. Applied Neuropsychology, 18(4), 284–290. https://doi.org/10.1080/09084282.2011.595455

Article  PubMed  Google Scholar 

Ashendorf, L., O’Bryant, S., & McCaffrey, R. (2003). Specificity of malingering detection strategies in older adults using the CVLT and WCST. The Clinical Neuropsychologist, 17(2), 255–262. https://doi.org/10.1076/clin.17.2.255.16502

Article  PubMed  Google Scholar 

Ashendorf, L., Constantinou, M., & McCaffrey, R. J. (2004). The effect of depression and anxiety on the TOMM in community-dwelling older adults. Archives of Clinical Neuropsychology, 19(1), 125–130. https://doi.org/10.1016/S0887-6177(02)00218-4

Article  PubMed  Google Scholar 

Baak, M., Koopman, R., Snoek, H., & Klous, S. (2020). A new correlation coefficient between categorical, ordinal and interval variables with Pearson characteristics. Computational Statistics & Data Analysis, 152, 107043. https://doi.org/10.1016/j.csda.2020.107043

Babikian, T., Boone, K. B., Lu, P., & Arnold, G. (2006). Sensitivity and specificity of various digit span scores in the detection of suspect effort. The Clinical Neuropsychologist, 20(1), 145–159. https://doi.org/10.1080/13854040590947362

Article  PubMed  Google Scholar 

Bashem, J. R., Rapport, L. J., Miller, J. B., Hanks, R. A., Axelrod, B. N., & Millis, S. R. (2014). Comparisons of five performance validity indices in bona fide and simulated traumatic brain injury. The Clinical Neuropsychologist, 28(5), 851–875. https://doi.org/10.1080/13854046.2014.927927

Article  PubMed  Google Scholar 

Bayman, E. O., & Dexter, F. (2021). Multicollinearity in logistic regression models. Anesthesia and Analgesia, 133(2), 362–365. https://doi.org/10.1213/ANE.0000000000005593

Article  PubMed  Google Scholar 

Becker, M. P., & Clogg, C. C. (1988). A note on approximating correlations from odds ratios. Sociological Methods and Research, 16(3), 40–424. https://doi.org/10.1177/0049124188016003003

Article  Google Scholar 

Benitez-Silva, H., Buchinsky, M., & Rust, J. (2004). How large are the classification errors in the social security disability award process? (No. w10219; p. w10219). National Bureau of Economic Research. https://doi.org/10.3386/w10219

Berthelson, L., Mulchan, S. S., Odland, A. P., Miller, L. J., & Mittenberg, W. (2013). False positive diagnosis of malingering due to the use of multiple effort tests. Brain Injury, 27(7–8), 909–916. https://doi.org/10.3109/02699052.2013.793400

Article  PubMed  Google Scholar 

Bianchini, K. J., Greve, K. W., & Glynn, G. (2005). On the diagnosis of malingered pain-related disability: Lessons from cognitive malingering research. The Spine Journal, 5(4), 404–417. https://doi.org/10.1016/j.spinee.2004.11.016

Article  PubMed  Google Scholar 

Binder, L. M. (1993). Portland Digit Recognition Test manual (second). L. M. Binder.

Binder, L. M., Larrabee, G. J., & Millis, S. R. (2014). Intent to fail: Significance testing of forced choice test results. The Clinical Neuropsychologist, 28(8), 1366–1375. https://doi.org/10.1080/13854046.2014.978383

Article  PubMed  Google Scholar 

Binder, L. M., & Willis, S. C. (1991). Assessment of motivation after financially compensable minor head trauma. Psychological Assessment /, 3(2), 175–181. https://doi.org/10.1037/1040-3590.3.2.175

Article  Google Scholar 

Bonett, D. G. (2007). Transforming odds ratios into correlations for meta-analytic research. American Psychologist, 62(3), 254–255. https://doi.org/10.1037/0003-066X.62.3.254

Article  PubMed  Google Scholar 

Bossuyt, P. M. M., Davenport, C., Deeks, J. J., Hyde, C., Leeflang, M. M. G., & Scholten, R. (2013). Chapter 11 Interpreting results and drawing conclusions. In J. J. Deeks, P. M. M. Bossuyt, & C. A. Gatsonis (Eds.), Cochrane Handbook for Systematic Reviews of Diagnostic Test Accuracy Version 0.9. The Cochrane Collaboration.

Buddin, W. H., Schroeder, R. W., Hargrave, D. D., Von Dran, E. J., Campbell, B., & C. J., Heinrichs, R. J., & Baade, L. E. (2014). An examination of the frequency of invalid forgetting on the Test of Memory Malingering. The Clinical Neuropsychologist, 28(3), 525–542. https://doi.org/10.1080/13854046.2014.906658

Article  PubMed  Google Scholar 

Bush, S. S., Ruff, R. M., Tröster, A. I., Barth, J. T., Koffler, S. P., Pliskin, N. H., Reynolds, C. R., & Silver, C. H. (2005). Symptom validity assessment: Practice issues and medical necessity: NAN Policy & Planning Committee. Archives of Clinical Neuropsychology, 20(4), 419–426. https://doi.org/10.1016/j.acn.2005.02.002

Article  PubMed  Google Scholar 

Chafetz, M. D. (2020). Deception is different: Negative validity test findings do not provide “evidence” for “good effort.” The Clinical Neuropsychologist, 1–37. https://doi.org/10.1080/13854046.2020.1840633

Chafetz, M. D. (2008). Malingering on the social security disability consultative exam: Predictors and base rates. The Clinical Neuropsychologist, 22(3), 529–546. https://doi.org/10.1080/13854040701346104

Article  PubMed  Google Scholar 

Chafetz, M. D. (2011). Reducing the probability of false positives in malingering detection of social security disability claimants. The Clinical Neuropsychologist, 25(7), 1239–1252. https://doi.org/10.1080/13854046.2011.586785

Article  PubMed  Google Scholar 

Chafetz, M. D., Bauer, R. M., & Haley, P. S. (2020). The other face of illness-deception: Diagnostic criteria for factitious disorder with proposed standards for clinical practice and research. The Clinical Neuropsychologist, 34(3), 454–476. https://doi.org/10.1080/13854046.2019.1663265

Article  PubMed  Google Scholar 

Chafetz, M. D., & Underhill, J. (2013). Estimated costs of malingered disability. Archives of Clinical Neuropsychology, 28(7), 633–639. https://doi.org/10.1093/arclin/act038

Article  PubMed  Google Scholar 

Collins, G. S., Reitsma, J. B., Altman, D. G., & Moons, K. G. M. (2015). Transparent Reporting of a Multivariable Prediction Model for Individual Prognosis Or Diagnosis (TRIPOD): The TRIPOD statement. Journal of Clinical Epidemiology, 68(2), 112–121. https://doi.org/10.1016/j.jclinepi.2014.11.010

Article  Google Scholar 

Collins, J., & Huynh, M. (2014). Estimation of diagnostic test accuracy without full verification: A review of latent class methods. Statistics in Medicine, 33(24), 4141. https://doi.org/10.1002/sim.6218

Article  PubMed  PubMed Central  Google Scholar 

Davenport, E. C., & El-Sanhurry, N. A. (1991). Phi/Phimax: Review and synthesis. Educational and Psychological Measurement, 51(4), 821–828. https://doi.org/10.1177/001316449105100403

Article  Google Scholar 

Davis, J. J., Wall, J. R., & Whitney, K. A. (2012). Derivation and clinical validation of consistency indices on the test of memory malingering. Archives of Clinical Neuropsychology, 27(7), 706–715. https://doi.org/10.1093/arclin/acs078

Article  PubMed  Google Scholar 

de Rooij, M., & Weeda, W. (2020). Cross-validation: A method every psychologist should know. Advances in Methods and Practices in Psychological Science, 3(2), 248–263. https://doi.org/10.1177/2515245919898466

Article  Google Scholar 

Delis, D. C., Kramer, J. H., Kaplan, E., & Ober, B. (2000). The California Verbal Learning Test-Second Edition. The Psychological Corporation.

Digby, P. G. N. (1983). Approximating the tetrachoric correlation coefficient. Biometrics, 39(3), 753–757. https://doi.org/10.2307/2531104

Article  Google Scholar 

Edens, J. F., Truong, T. N., & Otto, R. K. (2020). Classification accuracy of the rare symptoms and symptom combinations scales of the Structured Inventory of Malingered Symptomatology in three archival samples. Law and Human Behavior, 44(2), 167–177. https://doi.org/10.1037/lhb0000361

Article  PubMed  Google Scholar 

Ekström, J. (2011). The Phi-coefficient, the tetrachoric correlation coefficient, and the Pearson-Yule debate. UCLA Department of Statistics Papers. https://escholarship.org/uc/item/7qp4604r

Erdodi, L. A., & Rai, J. K. (2017). A single error is one too many: Examining alternative cutoffs on Trial 2 of the TOMM. Brain Injury, 31(10), 1362–1368. https://doi.org/10.1080/02699052.2017.1332386

Article  PubMed  Google Scholar 

Fischer, J. E., Bachmann, L. M., & Jaeschke, R. (2003). A readers’ guide to the interpretation of diagnostic test properties: Clinical example of sepsis. Intensive Care Medicine, 29(7), 1043–1051. https://doi.org/10.1007/s00134-003-1761-8

Article  PubMed  Google Scholar 

Fletcher, R. H., Fletcher, S. W., & Fletcher, G. S. (2014). Clinical epidemiology: The essentials: Vol. 5th edition. LWW.

Gates, K. M., Henry, T., Steinley, D., & Fair, D. A. (2016). A Monte Carlo evaluation of weighted community detection algorithms. Frontiers in Neuroinformatics, 10, 45. https://doi.org/10.3389/fninf.2016.00045

Article  PubMed  PubMed Central  Google Scholar 

Glas, A. S., Lijmer, J. G., Prins, M. H., Bonsel, G. J., & Bossuyt, P. M. M. (2003). The diagnostic odds ratio: A single indicator of test performance. Journal of Clinical Epidemiology, 56(11), 1129–1135. https://doi.org/10.1016/S0895-4356(03)00177-X

Article  PubMed  Google Scholar 

Green, D., Rosenfeld, B., Belfi, B., Rohlehr, L., & Pierson, A. (2012). Use of measures of cognitive effort and feigned psychiatric symptoms with pretrial forensic psychiatric patients. International Journal of Forensic Mental Health, 11(3), 181–190. https://doi.org/10.1080/14999013.2012.723665

Article  Google Scholar 

Green, P. W. (2003). Green’s word memory test for windows: User’s manual. Green’s Publishing.

Green, P. W. (2004). Green’s medical symptom validity test (MSVT) for microsoft windows: User’s manual. Green’s Publishing.

Green, P. W. (2011). Comparison between the Test of Memory Malingering (TOMM) and the Nonverbal Medical Symptom Validity Test (NV-MSVT) in adults with disability claims. Applied Neuropsychology, 18(1), 18–26. https://doi.org/10.1080/09084282.2010.523365

Article  PubMed  Google Scholar 

Green, P. W., Allen, L. M., & Astner, K. (1996). Manual for the Word Memory Test. Cognisyst N.C.

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 

Greiffenstein, M. F., Greve, K. W., Bianchini, K. J., & Baker, W. J. (2008). Test of Memory Malingering and Word Memory Test: A new comparison of failure concordance rates. Archives of Clinical Neuropsychology, 23(7), 801–807. https://doi.org/10.1016/j.acn.2008.07.005

Article  PubMed  Google Scholar 

Greve, K. W., Bianchini, K. J., Black, F. W., Heinly, M. T., Love, J. M., Swift, D. A., & Ciota, M. (2006a). Classification accuracy of the Test of Memory Malingering in persons reporting exposure to environmental and industrial toxins: Results of a known-groups analysis. Archives of Clinical Neuropsychology, 21(5), 439–448. https://doi.org/10.1016/j.acn.2006.06.004

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