Abstract
How can one make both a false-negative and a valid-positive identification simultaneously? This can result either by identifying an injured individual who is also exaggerating deficit simply as a malingerer, or by identifying that same individual only as injured. In the first instance one misses the injury while correctly identifying malingering, and in the second instance one correctly identifies the injury but misses malingering.
Authors’ Note:
This is the first of two interrelated chapters that appear in sequence (Chapters 1 and 2). In essence, Chapter 2 is a continuation of Chapter 1 and the two chapters together make up one integrated work. We strongly suggest that the chapters be read in order because the comprehensibility of Chapter 2 depends on familiarity with the contents of Chapter 1.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
To avoid the cumbersome “he or she” or “his or her,” we will alternate back and forth when referring to gender.
- 2.
For purposes of illustration, we have treated the two tests or methods as completely nonredundant. Usually, the situation is more complex and there is some degree of interdependence, which makes it even worse to use a weak screening measure or add weak measures to stronger measures. For example, a weaker method may “correct” some of the errors a stronger method makes, but it will “spoil” the correct conclusions of the stronger method a greater number of times.
- 3.
We realize that appearance will impact juries, but we do not believe this should ever override accuracy. We believe our highest priority should be to get it right, at which point we can worry about how to present our findings in an understandable manner that creates warranted belief in our work.
- 4.
Description of the literature demonstrating differences in test performance should not be confused with attribution of cause for these differences. For example, it is perfectly compatible to state that studies show differences in performance between two groups on measures of linguistic proficiency and to also state or argue that those differences appear to be due to acculturation or test bias. Although we believe that unwarranted attributions are sometimes drawn about differences in performance levels, we ask readers not to presume such specific positions on our part.
References
Ægisdóttir, S., White, M. J., Spengler, P. M., Maugherman, A. S., Anderson, L. A., Cook, R. S., et al. (2006). The meta-analysis of clinical judgment project: Fifty-six years of accumulated research on clinical versus statistical prediction. The Counseling Psychologist, 34, 341–382.
American Psychiatric Association. (2000). Diagnostic and statistical manual of mental disorders, 4th edition text revision (DSM-IV-TR). Washington: American Psychiatric Association.
Ardila, A. (2005). Cultural values underlying psychometric cognitive testing. Neuropsychology Review, 15, 185–195.
Ardila, A. (2007). The impact of culture on neuropsychological test performance. In B. P. Uzzell, M. O. Pontón, & A. Ardila (Eds.), International handbook of cross-cultural neuropsychology (pp. 23–44). Mahwah: Erlbaum.
Arkes, H. R. (1981). Impediments to accurate clinical judgment and possible ways to minimize their impact. Journal of Consulting and Clinical Psychology, 49, 323–330.
Arkes, H. R., Dawes, R. M., & Christensen, C. (1986). Factors influencing the use of a decision rule in a probabilistic task. Behavior and Human Decision Processes, 37, 93–110.
Arkes, H. R., & Harkness, A. R. (1980). Effect of making a diagnosis on subsequent recognition of symptoms. Journal of Experimental Psychology, 6, 568–575.
Armstrong, J. S. (2001). Judgmental bootstrapping: Inferring experts’ rules for forecasting. In J. S. Armstrong (Ed.), Principles of forecasting: A handbook for researchers and practitioners (pp. 171–192). Norwell: Kluwer Academic.
Bauer, L., & McCaffrey, R. J. (2006). Coverage of the Test of Memory Malingering, Victoria Symptom Validity Test, and the Word Memory Test on the Internet: Is test security threatened? Archives of Clinical Neuropsychology, 21, 121–126.
Boone, K. B., Victor, T. L., Wen, J., Razani, J., & Pontón, M. (2007). The association between neuropsychological scores and ethnicity, language, and acculturation variables in a large patient population. Archives of Clinical Neuropsychology, 22, 355–365.
Brennan, A. M., Meyer, S., David, E., Pella, R., Hill, B. D., & Gouvier, W. D. (2009). The vulnerability to coaching across measures of effort. The Clinical Neuropsychologist, 23, 314–328.
Bush, S. S., Ruff, R. M., Tröster, A. I., Barth, J. T., Koffler, S. P., Pliskin, N. H., et al. (2005). Symptom validity assessment: Practice issues and medical necessity. NAN Policy & Planning Committee. Archives of Clinical Neuropsychology, 20, 419–426.
Byrd, D. A., Miller, S. W., Reilly, J., Weber, S., Wall, T. L., & Heaton, R. K. (2006). Early environmental factors, ethnicity, and adult cognitive test performance. The Clinical Neuropsychologist, 20, 243–260.
Chapman, L. J., & Chapman, J. P. (1967). Genesis of popular but erroneous psychodiagnostic observations. Journal of Abnormal Psychology, 72, 193–204.
Chapman, L. J., & Chapman, J. P. (1969). Illusory correlation as an obstacle to the use of valid psychodiagnostic signs. Journal of Abnormal Psychology, 74, 271–280.
Cliffe, M. J. (1992). Symptom-validity testing of feigned sensory or memory deficits: A further elaboration for subjects who understand the rationale. British Journal of Clinical Psychology, 31, 207–209.
Cronbach, L. J., & Meehl, P. E. (1955). Construct validity in psychological tests. Psychological Bulletin, 52, 281–302.
Crowe, M., Clay, O. J., Sawyer, P., Crowther, M. R., & Allman, R. M. (2008). Education and reading ability in relation to differences in cognitive screening between African American and Caucasian older adults. International Journal of Geriatric Psychiatry, 23, 222–223.
Dawes, R. M. (1979). The robust beauty of improper linear models in decision making. American Psychologist, 34, 571–582.
Dawes, R. M. (1989). Experience and validity of clinical judgment: The illusory correlation. Behavioral Sciences & the Law, 7, 457–467.
Dawes, R. M., Faust, D., & Meehl, P. E. (1989). Clinical versus actuarial judgment. Science, 243, 1668–1674.
Dawes, R. M., & Meehl, P. E. (1966). Mixed group validation: A method for determining the validity of diagnostic signs without using criterion groups. Psychological Bulletin, 66, 63–67.
Dean, A. C., Boone, K. B., Kim, M. S., Curiel, A. R., Martin, D. J., Victor, T. L., et al. (2008). Examination of the impact of ethnicity on the Minnesota Multiphasic Personality Inventory-2 (MMPI-2) Fake Bad Scale. The Clinical Neuropsychologist, 22, 1054–1060.
Einhorn, H. J. (1986). Accepting error to make less error. Journal of Personality Assessment, 50, 387–395.
Elkovitch, N., Viljoen, J. L., Scalora, M. J., & Ullman, D. (2008). Research report: Assessing risk of reoffending in adolescents who have committed a sexual offense: The accuracy of clinical judgments after completion of risk assessment instruments. Behavioral Sciences & the Law, 26, 511–528.
Fargo, J. D., Schefft, B. K., Szaflarski, J. P., Howe, S. R., Yeh, H., & Privitera, M. D. (2008). Accuracy of clinical neuropsychological versus statistical prediction in the classification of seizure types. The Clinical Neuropsychologist, 22, 181–194.
Faust, D. (1984). The limits of scientific reasoning. Minneapolis: University of Minnesota Press.
Faust, D. (1989). Data integration in legal evaluations: Can clinicians deliver on their premises? Behavioral Sciences & the Law, 7, 469–483.
Faust, D. (1993). The use of traditional neuropsychological tests to describe and prescribe: Why polishing the crystal ball won’t help. In G. L. Glueckauf, L. B. Sechrest, G. R. Bond, & E. C. McDonel (Eds.), Improving assessment in rehabilitation and health (pp. 87–108). Newbury Park: Sage.
Faust, D. (2004). Statistical significance testing, construct validity, and clinical versus actuarial judgment: An interesting (seeming) paradox. Applied and Preventative Psychology, 11, 27–29.
Faust, D. (2006). Paul Meehl as methodologist-philosopher of science: The formulation of meta-science. Journal of Abnormal Psychology, 115, 205–209.
Faust, D. (2007). Decision research can increase the accuracy of clinical judgment and thereby improve patient care. In S. O. Lilienfeld & W. T. O’Donohue (Eds.), The great ideas of clinical science: 17 principles that every mental health professional should understand (pp. 49–76). New York: Routledge.
Faust, D. (2008). Why meta-science should be irresistible to decision researchers. In J. Krueger (Ed.), Rationality and social responsibility: Essays in honor of Robyn Mason Dawes (pp. 91–110). New York: Psychology Press.
Faust, D. (2011). Coping with psychiatric and psychological testimony (6th ed.). New York: Oxford University Press.
Faust, D., & Ackley, M. A. (1998). Did you think it was going to be easy? Some methodological suggestions for the investigation and development of malingering detection techniques. In C. R. Reynolds (Ed.), Detection of malingering during head injury litigation (pp. 1–54). New York: Plenum.
Faust, D., & Ahern, D. C. (2011). Clinical judgment and prediction. In D. Faust, Coping with psychiatric and psychological testimony (6th ed.) (pp. 147–208). New York: Oxford University Press.
Faust, D., Ahern, D. C., & Bridges, A. J. (2011). Neuropsychological (brain damage) assessment. In D. Faust, Coping with psychiatric and psychological testimony (6th ed.) (pp. 363–469). New York: Oxford University Press.
Faust, D., Ahern, D. C., & Bridges, A. J. (in preparation).Obstacles to complex pattern analysis in neuropsychology and more effective alternatives.
Faust, D., & Faust, K. A. (2011). Experts’ experience and diagnostic and predictive accuracy. In D. Faust, Coping with psychiatric and psychological testimony (6th ed.) (pp. 131–146). New York: Oxford University Press.
Faust, D., Hart, K., & Guilmette, T. J. (1988). Pediatric malingering: The capacity of children to fake believable deficits on neuropsychological testing. Journal of Consulting and Clinical Psychology, 56, 578–582.
Faust, D., Hart, K., Guilmette, T. J., & Arkes, H. R. (1988). Neuropsychologists’ capacity to detect adolescent malingerers. Professional Psychology: Research and Practice, 19, 508–515.
Faust, D., & Meehl, P. E. (1992). Using scientific methods to resolve questions in the history and philosophy of science: Some illustrations. Behavior Therapy, 23, 195–211.
Frederick, R. I. (2003). Validity Indicator Profile. Manual. Minneapolis: Pearson.
Frederick, R. I., & Foster, H. G., Jr. (1991). Multiple measures of malingering on a forced-choice test of cognitive ability. Psychological Assessment, 3, 596–602.
Galanter, C. A., & Patel, V. L. (2005). Medical decision making: A selective review for child psychiatrists and psychologists. Journal of Child Psychology and Psychiatry, 46, 675–689.
Garb, H. N., & Schramke, C. J. (1996). Judgment research and neuropsychological assessment: A narrative review and meta-analyses. Psychological Bulletin, 120, 140–153.
Golden, M. (1964). Some effects of combining psychological tests on clinical inferences. Journal of Consulting Psychology, 28, 440–446.
Gouvier, W. D. (2001). Are you sure you’re really telling the truth? NeuroRehabilitation, 16, 215–219.
Gouvier, W. D., Cubic, B., Jones, G., Brantley, P., & Cutlip, Q. (1992). Post-concussion symptoms and daily stress in normal and head-injured college populations. Archives of Clinical Neuropsychology, 7, 193–211.
Gouvier, W. D., Uddo-Crane, M., & Brown, L. M. (1988).Base rates for post-concussional symptoms. Archives of Clinical Neuropsychology, 3, 273–278.
Greenwald, A. G., Pratkanis, A. R., Leippe, M. R., & Baumgardner, M. H. (1986). Under what conditions does theory obstruct research progress? Psychological Review, 93, 216–229.
Grove, W. M., & Lloyd, M. (2006). Meehl’s contribution to clinical versus statistical prediction. Journal of Abnormal Psychology, 115, 192–194.
Grove, W. M., Zald, D. H., Lebow, B. S., Snitz, B. E., & Nelson, C. (2000). Clinical vs. mechanical prediction: A meta-analysis. Psychological Assessment, 12, 19–30.
Guilbault, R. L., Bryant, F. B., Brockway, J. H., & Posavac, E. J. (2004). A meta-analysis of research on hindsight bias. Basic and Applied Social Psychology, 26, 103–117.
Gunstad, J., & Suhr, J. A. (2004). Cognitive factors in Postconcussion Syndrome symptom report. Archives of Clinical Neuropsychology, 19, 391–404.
Hambleton, R. K., Merenda, P. F., & Spielberger, D. C. (Eds.). (2005). Adapting educational and psychological tests for cross-cultural assessment. Mahwah: Erlbaum.
Hanson, R. K., & Morton-Bourgon, K. E. (2009). The accuracy of recidivism risk assessments for sexual offenders: A meta-analysis of 118 prediction studies. Psychological Assessment, 21, 1–21.
Heaton, R. K., Ryan, L., & Grant, I. (2009). Demographic influences and use of demographically corrected norms in neuropsychological assessment. In I. Grant & K. M. Adams (Eds.), Neuropsychological assessment of neuropsychiatric and neuromedical disorders (pp. 127–155). New York: Oxford University Press.
Heilbronner, R. L., Sweet, J. J., Morgan, J. E., Larrabee, G. J., & Millis, S. R. (2009). American Academy of Clinical Neuropsychology Consensus Conference statement on the neuropsychological assessment of effort, response bias, and malingering. The Clinical Neuropsychologist, 23, 1093–1129.
Herman, S. (2005). Improving decision making in forensic child sexual abuse evaluations. Law and Human Behavior, 29, 87–120.
Hogarth, R. M., & Karelaia, N. (2007). Heuristic and linear models of judgment: Matching rules and environments. Psychological Review, 114, 733–758.
Hyman, R. (1977). “Cold reading”: How to convince strangers that you know all about them. The Zetetic, 1, 18–37.
Iverson, G. L., & Lange, R. T. (2003). Examination of “postconcussion-like” symptoms in a healthy sample. Applied Neuropsychology, 10, 137–144.
Kaiser Family Foundation. (2011). Poverty rates by race/ ethnicity, US (2009). Retrieved February 11, 2011 from http://www.statehealthfacts.org/
Kennedy, M. L., Willis, W. G., & Faust, D. (1997). The base-rate fallacy in school psychology. Journal of Psychoeducational Assessment, 15, 292–307.
Labarge, A. S., McCaffrey, R. J., & Brown, T. A. (2003). Neuropsychologists’ abilities to determine the predictive value of diagnostic tests. Archives of Clinical Neuropsychology, 18, 165–175.
Leli, D. A., & Filskov, S. B. (1981). Clinical-actuarial detection and description of brain impairment with the W-B form 1. Journal of Clinical Psychology, 37, 623–629.
Lezak, M. D., Howieson, D. B., Loring, D. W., Hannay, H. J., & Fischer, J. S. (2004). Neuropsychological assessment (4th ed.). New York: Oxford University Press.
Manly, J. J., & Jacobs, D. M. (2002). Future directions in neuropsychological assessment with African Americans. In F. R. Ferraro (Ed.), Minority and crosscultural aspects of neuropsychological assessment (pp. 79–96). Exton: Swets & Zeitlinger.
Meehl, P. E. (1954/1996). Clinical versus statistical prediction: A theoretical analysis and a review of the evidence. Minneapolis: University of Minnesota Press. (Reprinted with new Preface, 1996, by Jason Aronson, Northvale, NJ.)
Meehl, P. E. (1984). Foreword to Faust, D., The limits of scientific reasoning (pp. xi–xxiv). Minneapolis: University of Minnesota Press.
Meehl, P. E. (1986). Causes and effects of my disturbing little book. Journal of Personality Assessment, 50, 370–375.
Meehl, P. E. (1991). Selected philosophical and methodological papers (C. A. Anderson & K. Gunderson, Eds.). Minneapolis: University of Minnesota Press.
Meehl, P. E. (1992). Needs (Murry, 1938) and state-variables (Skinner, 1938). Psychological Reports, 70, 407–451.
Meehl, P. E. (1995). Bootstraps taxometrics: Solving the classification problem in psychopathology. American Psychologist, 50, 266–275.
Meehl, P. E. (1999). Clarifications about taxometric method. Journal of Applied and Preventive Psychology, 8, 165–174.
Meehl, P. E. (2001). Comorbidity and taxometrics. Clinical Psychology: Science and Practice, 8, 507–519.
Meehl, P. E. (2004). What’s in a taxon? Journal of Abnormal Psychology, 113, 39–43.
Meehl, P. E., & Rosen, A. (1955). Antecedent probability and the efficiency of psychometric signs, patterns, or cutting scores. Psychological Bulletin, 52, 194–216 (Reprinted in N. G. Waller, L. J. Yonce, W. M. Grove, D. Faust, & M. F. Lenzenweger (Eds.), A Paul Meehl reader: Essays on the practice of scientific psychology (pp. 213–236). Mahwah: Lawrence Erlbaum, 2006.)
Mills, J. F. (2005). Advances in the assessment and prediction of interpersonal violence. Journal of Interpersonal Violence, 20, 236–241.
Mittenberg, W., DiGiulio, D. V., Perrin, S., & Bass, A. E. (1992). Symptoms following mild head injury: Expectation as etiology. Journal of Neurology, Neurosurgery, and Psychiatry, 55, 200–204.
Nabors, N. A., Evans, J. D., & Strickland, T. L. (2000). Neuropsychological assessment and intervention with African Americans. In E. Fletcher-Janzen, T. L. Strickland, & C. R. Reynolds (Eds.), Handbook of cross-cultural neuropsychology (pp. 31–42). New York: Kluwer Academic/Plenum.
Neisser, U., Boodoo, G., Bouchard, T. J., Jr., Boykin, A. W., Brody, N., Ceci, S. J., et al. (1996). Intelligence: Knowns and unknowns. American Psychologist, 51, 77–101.
Nelson, A. (2002). Unequal treatment: Confronting racial and ethnic disparities in health care. Journal of the National Medical Association, 94, 666–668.
Nickerson, R. S. (1998). Confirmation bias: A ubiquitous phenomenon in many guises. Review of General Psychology, 2, 175–220.
Nickerson, R. S. (2004). Cognition and chance: The psychology of probabilistic reasoning. Mahwah: Erlbaum.
Razani, J., Burciaga, J., Madore, M., & Wong, J. (2007). Effects of acculturation on tests of attention and information processing in an ethnically diverse group. Archives of Clinical Neuropsychology, 22, 333–341.
Reichenbach, H. (1938). Experience and prediction. Chicago: University of Chicago Press.
Reitan, R. M., & Wolfson, D. (1993). The Halstead–Reitan neuropsychological test battery: Theory and clinical interpretation (2nd ed.). Tucson: Neuropsychology Press.
Rogers, R. (1990a). Development of a new classificatory model of malingering. Bulletin of the American Academy of Psychiatry and Law, 18, 323–333.
Rogers, R. (1990b). Models of feigned mental illness. Professional Psychology: Research and Practice, 21, 182–188.
Rogers, R. (Ed.). (2008). Clinical assessment of malingering and deception (3rd ed.). New York: Guilford.
Rogers, R., Bagby, R. M., & Chakraborty, D. (1993). Feigning schizophrenic disorders on the MMPI-2: Detection of coached simulators. Journal of Personality Assessment, 60, 215–226.
Rosselli, M., & Ardila, A. (2003). The impact of culture and education on non-verbal neuropsychological measurements: A critical review. Brain and Cognition, 52, 326–333.
Ruscio, J. (2003). Holistic judgment in clinical practice. The Scientific Review of Mental Health Practice, 2, 38–48.
Salazar, X. F., Lu, P. H., Wen, J., & Boone, K. B. (2007).The use of effort tests in ethnic minorities and in non- English-speaking and English as a second language populations. In K. B. Boone (Ed.), Assessment of feigned cognitive impairment: A neuropsychological perspective (pp. 405–427). New York: Guilford.
Satcher, D. (2001). Mental health: Culture, race, and ethnicity – a supplement to Mental health: A report of the Surgeon General. Rockville: U.S. Department of Health and Human Services.
Sawyer, J. (1966). Measurement and prediction, clinical and statistical. Psychological Bulletin, 66, 178–200.
Sbordone, R. J., Strickland, T. L., & Purisch, A. D. (2000). Neuropsychological assessment of the criminal defendant: The significance of cultural factors. In E. Fletcher-Janzen, T. L. Strickland, & C. R. Reynolds (Eds.), Handbook of cross-cultural neuropsychology (pp. 335–344). New York: Kluwer Academic/Plenum.
Sharland, M. J., & Gfeller, J. D. (2007). A survey of neuropsychologists’ beliefs and practices with respect to the assessment of effort. Archives of Clinical Neuropsychology, 22, 213–223.
Sieck, W. R., & Arkes, H. R. (2005). The recalcitrance of overconfidence and its contribution to decision aid neglect. Journal of Behavioral Decision Making, 18, 29–53.
Simon, H. A. (1956). Rational choice and the structure of environments. Psychological Review, 63, 129–138.
Simon, H. A. (1957). Models of man. New York: Wiley.
Slick, D. J., Tan, J. E., Strauss, E. H., & Hultsch, D. F. (2004). Detecting malingering: A survey of experts’ practices. Archives of Clinical Neuropsychology, 19, 465–473.
Strong, D. R., Glassmire, D. M., Frederick, R. I., & Greene, R. L. (2006). Evaluating the latent structure of the MMPI-2 F(p) scale in a forensic sample: A taxometric analysis. Psychological Assessment, 18, 250–261.
Strong, D. R., Greene, R. L., & Schinka, J. A. (2000). A taxometric analysis of MMPI-2 infrequency scales [F and F(p)] in clinical settings. Psychological Assessment, 12, 166–173.
Tombaugh, T. N. (1996). Test of Memory Malingering (TOMM). North Tonawanda: Multi-Health Systems.
Tsushima, W. T., & Tsushima, V. G. (2009). Comparison of MMPI-2 validity scales among compensation-seeking Caucasian and Asian American medical patients. Assessment, 6, 159–164.
Vilar-Lopez, R., Santiago-Ramajo, S., Gomez-Rio, M., Verdejo-Garcia, A., Llamas, J. M., & Perez-Garcia, M. (2007). Detection of malingering in a Spanish population using three specific malingering tests. Archives of Clinical Psychology, 22, 379–388.
Waller, N. G., & Meehl, P. E. (1998). Multivariate taxometric procedures: Distinguishing types from continua. Thousand Oaks: Sage.
Waller, N. G., Yonce, L. J., Grove, W. M., Faust, D., & Lenzenweger, M. F. (Eds.). (2006). A Paul Meehl reader: Essays on the practice of scientific psychology. Mahwah: Lawrence Erlbaum.
Walters, G. D., Berry, D. T. R., Rogers, R., Payne, J. M., & Granacher, R. P., Jr. (2009). Feigned neurocognitive deficit: Taxon or dimension? Journal of Clinical and Experimental Neuropsychology, 31, 584–593.
Walters, G. D., Rogers, R., Berry, D. T. R., Miller, H. A., Duncan, S. A., McCusker, P. J., et al. (2008). Malingering as a categorical or dimensional construct: The latent structure of feigned psychopathology as measured by the SIRS and MMPI-2. Psychological Assessment, 20, 238–247.
Watkins, M. W., Glutting, J. J., & Youngstrom, E. A. (2005). Issues in subtest profile analysis. In D. P. Flanagan & P. L. Harrison (Eds.), Contemporary intellectual assessment: Theories, tests, and issues (pp. 251–268). New York: Guilford.
Wedding, D. (1983). Clinical and statistical prediction in neuropsychology. Clinical Neuropsychology, 5, 49–55.
Wedding, D., & Faust, D. (1989). Clinical judgment and decision making in neuropsychology. Archives of Clinical Neuropsychology, 4, 233–265.
Wetter, M. W., Baer, R. A., Berry, D. T. R., & Reynolds, S. K. (1994). The effect of symptom information on faking on the MMI-2. Assessment, 1, 199–207.
Williams, J. M. (1998). The malingering of memory disorder. In C. R. Reynolds (Ed.), Detection of malingering during head injury litigation (pp. 105–132). New York: Plenum.
Wong, J. L., Regennitter, R. P., & Barris, F. (1994). Base rates and simulated symptoms of mild head injury among normals. Archives of Clinical Neuropsychology, 9, 411–425.
Yager, J. (1977). Psychiatric eclecticism: A cognitive view. The American Journal of Psychiatry, 134, 736–741.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer Science+Business Media, LLC
About this chapter
Cite this chapter
Faust, D., Ahern, D.C., Bridges, A.J., Yonce, L.J. (2012). Assessment of Malingering and Falsification: Conceptual Foundations and Sources of Error. In: Reynolds, C., Horton, Jr., A. (eds) Detection of Malingering during Head Injury Litigation. Springer, Boston, MA. https://doi.org/10.1007/978-1-4614-0442-2_1
Download citation
DOI: https://doi.org/10.1007/978-1-4614-0442-2_1
Published:
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4614-0441-5
Online ISBN: 978-1-4614-0442-2
eBook Packages: MedicineMedicine (R0)