Detecting Fake-Good and Fake-Bad MMPI-2 Profiles

This study examined the extent to which the validity scales of the Minnesota Multiphasic Personality Inventory-2 (MMPI-2) could identify subjects who were faking bad or faking good and differentiate between psychiatric patients and normal subjects who were faking bad. Subjects were 106 undergraduate college students and 50 psychiatric patients. Results indicate that the mean profiles and optimal cutoff scores resembled those previously reported for the original MMPI. Accurate identification of persons who were faking bad or faking good was achieved. It was possible to differentiate between the psychiatric patients and normal persons who were faking bad, but different cutoff scores were needed to differentiate between normals taking the test under standard instructions and those instructed to fake bad. Optimal cutoff scores were suggested.     

Detecting fake-good and fake-bad MMPI-2 profiles

This study examined the extent to which the validity scales of the Minnesota Multiphasic Personality Inventory-2 (MMPI-2) could identify subjects who were faking bad or faking good and differentiate between psychiatric patients and normal subjects who were faking bad. Subjects were 106 undergraduate college students and 50 psychiatric patients. Results indicate that the mean profiles and optimal cutoff scores resembled those previously reported for the original MMPI. Accurate identification of persons who were faking bad or faking good was achieved. It was possible to differentiate between the psychiatric patients and normal persons who were faking bad, but different cutoff scores were needed to differentiate between normals taking the test under standard instructions and those instructed to fake bad. Optimal cutoff scores were suggested.     

Detection of dissimulation with the new generation of objective personality measures

This study investigated the effectiveness of two recently developed measures of psychopathology—the Basic Personality Inventory (BPI) and the Millon Clinical Multiaxial (Inventory-II) (MCMI-II) in detecting dissimulation (i.e., faking good and faking bad). Both personality measures have developed special ‘validity scales’ to discern dissimulating responses. Ninety-one undergraduate students completed the two personality scales under one of three instructional sets: fake good, fake bad, and honest. In general, the results indicated that both scales were effective in distinguishing the groups from one another. The MCMI-II was better at detecting fake bad responding, while the BPI appeared to be more effective in detecting fake good responding. These differences in identifying fake good and fake bad response styles can be attributed to the method in which the scales were constructed.     

The good,the bad and the mad: Response bias in self-report measures

This study set out to examine the susceptibility of five extensively used, self-report measures to response set bias. Subjects were requested either to fake good, (give a good impression), fake bad, (give a bad impression), fake mad, (give an impression of mental instability) or respond honestly. Subjects who faked good had significantly higher Extraversion, Lie and Social Desirability scores but lowest Neuroticism, Psychoticism and Social Anxiety scores. Subjects who faked bad had significantly lower Extraversion and higher Psychoticism and Social Anxiety scores. Fake mad subjects scored higher on Self-Monitoring and Locus of Control. Four of the eight scales showed significant differences between subjects faking bad and those faking mad. The results are discussed in terms of questionnaire design and respondent's motivation.     

The use of subtle items in detecting deception

When subjects attempt to fake psychopathology on the MMPI, scores on subtle subscales tend to be lower than those of nonfaking subjects. Our study hypothesized that this paradox comes about because the subtle subscales have no predictive validity, but their face validity for psychopathology is the opposite of the keyed direction for psychopathology. Subjects who attempt to fake psychopathology do so on the basis of item content and thus achieve lower rather than higher scores. Three groups of 80 undergraduates took the MMPI under regular, faking-good, or faking-bad instructions. As expected, faking-bad subjects scored significantly lower than regular subjects on the 100 most subtle items, and this was due to their responses to those. 73 of the items whose face validity was misleading. The results are consistent with other work showing valid uses of subtle items in detecting deception.     

Effects of the testing situation on item responding: cause for concern

The effects of faking on personality test scores have been studied previously by comparing (a) experimental groups instructed to fake or answer honestly, (b) subgroups created from a single sample of applicants or nonapplicants by using impression management scores, and (c) job applicants and nonapplicants. In this investigation, the latter 2 methods were used to study the effects of faking on the functioning of the items and scales of the Sixteen Personality Factor Questionnaire. A variety of item response theory methods were used to detect differential item/test functioning, interpreted as evidence of faking. The presence of differential item/test functioning across testing situations suggests that faking adversely affects the construct validity of personality scales and that it is problematic to study faking by comparing groups defined by impression management scores.     

A psychological test battery to detect prison inmates who fake insanity or mental retardation

A contrasted groups design was used to investigate the accuracy with which a test battery could detect persons faking mental disorder. The MMPI and Bender Gestalt were used in combination with a Malingering Scale that was developed for initial validation. One hundred adult males comprised five groups of 20 subjects each. Noncriminal psychiatric inpatients and mental retardates were compared with prison inmates who were given a financial incentive to successfully fake ‘insanity’ or mental retardation, and with inmate controls. Based on discriminant analyses, 92 to 95% of subjects were correctly classified as either faking or not faking. Although cross-validation is needed, this study reduced many of the analog factors which have comprised the generalizability of previous findings.     

Intentional response distortion on personality tests: using eye-tracking to understand response processes when faking

Intentional response distortion or faking among job applicants completing measures such as personality and integrity tests is a concern in personnel selection. The present study aimed to investigate whether eye-tracking technology can improve our understanding of the response process when faking. In an experimental within-participants design, a Big Five personality test and an integrity measure were administered to 129 university students in 2 conditions: a respond honestly and a faking good instruction. Item responses, response latencies, and eye movements were measured. Results demonstrated that all personality dimensions were fakeable. In support of the theoretical position that faking involves a less cognitively demanding process than responding honestly, we found that response times were on average 0.25 s slower and participants had less eye fixations in the fake good condition. However, in the fake good condition, participants had more fixations on the 2 extreme response options of the 5-point answering scale, and they fixated on these more directly after having read the question. These findings support the idea that faking leads to semantic rather than self-referenced item interpretations. Eye-tracking was demonstrated to be potentially useful in detecting faking behavior, improving detecting rates over and beyond response extremity and latency metrics.     

Filler items and social desirability in Rotter's locus of control scale

Three experiments were conducted to determine whether the use of filler items in Rotter's I-E scale fulfills its stated objective of obscuring the purpose of the scale. Subjects were undergraduate psychology students. Experiment 1 compared the effects of filler items and sex of subject on 145 subjects I-E scores. Experiment 2 examined effects of filler items and sex on I-E responses of 210 subjects under standard and fake good instructions. Experiment 3 examined subjects' ability to discern the purpose of the I-E scale, with and without the filler items. Filler items did not affect I-E score, impede subjects from faking good, or obscure knowledge of the purpose of the I-E scale. Sex differences occurred in faking good, knowledge and certainty of correctness of knowledge.     

THE SUSCEPTIBILITY OF OVERT AND COVERT INTEGRITY TESTS TO COACHING AND FAKING

Abstract— Although previous research has indicated that faking can affect integrity test scores, the effects of coaching on integrity test scores have never been examined We conducted a between-subjects experiment to assess the effects of coaching and faking instructions on an overt and a covert integrity test Coaching provided simple rules to follow when answering test items and instructions on how to avoid elevated validity scale scores There were five instruction conditions "just take,""fake good,""coach overt,""coach covert," and coach both All subjects completed both overt and covert tests and a measure of intelligence Results provided strong evidence for the coachability of the overt integrity test, over and above the much smaller elevation in the faking condition The covert test apparently could be neither coached nor faked successfully Scores on both integrity tests tended to be positively correlated with intelligence in the coaching and faking conditions We discuss the generalizability of these results to other samples and other integrity tests, and the relevance of the coachability of integrity tests to the ongoing debate concerning the prediction of counterproductive behavior     

The over-claiming technique: measuring self-enhancement independent of ability

Over-claiming is a concrete operalization of self-enhancement based on respondents' ratings of their knowledge of various persons, events, products, and so on. Because 20% of the items are nonexistent, responses can be analyzed with signal detection formulas to index both response bias (over-claiming) and accuracy (knowledge). Study 1 demonstrated convergence of over-claiming with alternative measures of self-enhancement but independence from cognitive ability. In Studies 2-3, the validity of the over-claiming index held even when respondents were (a) warned about the foils or (b) asked to fake good. Study 3 also showed the utility of the over-claiming index for diagnosing faking. In Study 4, the over-claiming technique was applied to the debate over the adaptive value of positive illusions.     

Examining Faking on Personality Inventories Using Unfolding Item Response Theory Models

A concern about personality inventories in diagnostic and decision-making contexts is that individuals will fake. Although there is extensive research on faking, little research has focused on how perceptions of personality items change when individuals are faking or responding honestly. This research demonstrates how the delta parameter from the generalized graded unfolding item response theory model can be used to examine how individuals’ perceptions about personality items might change when responding honestly or when faking. The results indicate that perceptions changed from honest to faking conditions for several neuroticism items. The direction of the change varied, indicating that faking can operate to increase or decrease scores within a personality factor.     

Using Personality Testing for Personnel Selection: Faking and Test-Taking Inductions

This research assessed whether warning subjects that faked responses could be detected would reduce the amount of faking that might occur when using a personality test for selection of police officers. Also, personality test subscales which best differentiated honest from dissimulated responses were determined. Subjects (N=120) were randomly assigned to a straight-take (that is, respond honestly), fake good, or modified fake good group. Both fake good groups were instructed to respond to the test so as to appear favourably for the job; additionally, the modified fake good group was warned that faking could be detected and could reduce hiring chances. Multivariate analyses revealed significant differences on the Denial and Deviation subscales between the three conditions (p <0.01). The pattern of differences suggested that the threat of faking detection reduced faking. Potential application of these findings in personnel selection was discussed.     

Impact and Detection of Response Distortions on Parenting Measures Used to Assess Risk for Child Physical Abuse

This study investigates the impact of instructional conditions (fake good, be honest, fake bad, and respond randomly) on the scores of 3 parenting measures: the Adult/Adolescent Parenting Inventory (AAPI; Bavolek, 1984), the Child Abuse Potential (CAP) Inventory (Milner, 1986), and the Parenting Stress Index (PSI; Abidin, 1995) in general-population parents and at-risk parents. In addition, the study explores the ability of the PSI Defensiveness Scale and the CAP Inventory validity indexes to detect response distortions. As expected, most parenting-measure scores changed significantly as a result of parents' attempts to distort their responses. Across the response-distortion conditions, the PSI Defensiveness Scale only detected protocols in the fake-good condition with detection rates below 50%, whereas the CAP Inventory validity indexes correctly detected as invalid 94.7% and 91.1% of the protocols generated by general-population parents and at-risk parents, respectively. With regard to correct detection and labeling rates, except for the labeling of faking-bad behavior in the at-risk group (57.9% correct), the labeling rates of the CAP validity indexes for each of the response-distortion conditions in the general population and at-risk groups were acceptable, ranging from 82.4% to 100% correct.     

A comparison of the PAI and MMPI-2 as predictors of faking bad in college students

Both the Minnesota Multiphasic Personality Inventory-2 (MMPI-2; Butcher et al., 2001) and Personality Assessment Inventory (PAI; Morey, 1991) offer a large set of scales devoted to the identification of response styles. This study directly compared the effectiveness of the 2 inventories as indicators of overreporting. The 2 measures were administered to 52 college students instructed to fake bad under conditions describing either a forensic (n = 24) or psychiatric (n = 28) setting as well as to 432 psychiatric patients. Results indicated that the MMPI-2 F - K index and Fp Scale were the best single indicators of a faking bad response style and that the MMPI-2 scales were the better indicators as a set. However, the PAI scales demonstrated a significant level of incremental validity over the MMPI-2 indicators in every analysis conducted. The findings suggest that either inventory offers an effective approach to the detection of overreporting, and administering both inventories can enhance the accuracy of prediction further.     

Effect of response distortion on the assessment of divergent facets of psychopathy

Recent evidence suggests that the Psychopathic Personality Inventory (PPI) is composed of two orthogonal factors, one representing traits such as dominance and low anxiety (PPI-I) and a second that reflects more socially deviant aspects of psychopathy (PPI-II). To assess whether response sets differentially affect these factors, the present research reanalyzed data from two dissimulation studies in which college students completed the PPI both honestly and with instructions either to "fake good" (n = 186) or "fake bad" (n = 143). PPI-II scores decreased significantly in the fake-good condition (d = -.86) and increased significantly when faking bad (d = 2.65). PPI-I scores were unaffected by attempts to feign serious psychopathology (d = .10) and actually increased in the fake-good condition (d = .53). These findings significantly qualify previous conclusions about the effect of response distortion on the PPI.     

MMPI response-set characteristics among adolescents

This study examined the Minnesota Multiphasic Personality Inventory (MPPI) profile characteristics for five different response sets in adolescent populations employing adolescent MMPI norms. In general, findings for "all-true" and "all-false" adolescent profiles were highly similar in shape and elevation to those reported in the adult literature (Graham, 1977; Lachar, 1974), whereas random profiles on adolescent norms differed substantially from adult-norm random profiles in shape but not elevation. The characteristics of "fake good" or "fake bad" response sets were investigated by the use of adolescent subjects in two settings. Ninety-four public high-school students were administered the MMPI with standard and "fake bad" instructions, and 24 adolescents in inpatient psychiatric treatment were administered the MMPI under standard and "fake good" instructions. The MMPI profiles generated by special instructional sets were analyzed in relation to the subject's age, sex, race, and actual MMPI profile features. Findings indicated that although sex and race effects were evident in normal adolescents' attempts to simulate psychopathology on the MMPI, teenagers generally produce profiles containing grossly exaggerated symptom patterns that are relatively easy to detect as invalid. In contrast, it was found that a substantial number of psychiatrically disturbed adolescents may effectively simulate normal profiles and that effectiveness in these attempts was related to greater age and lower actual MMPI T-score values on the Hs and Hy scales.     

MMPI Response-Set Characteristics Among Adolescents

This study examined the Minnesota Multiphasic Personality Inventory (MPPI) profile characteristics for five different response sets in adolescent populations employing adolescent MMPI norms. In general, findings for "all-true" and "all-false" adolescent profiles were highly similar in shape and elevation to those reported in the adult literature (Graham, 1977; Lachar, 1974), whereas random profiles on adolescent norms differed substantially from adult-norm random profiles in shape but not elevation. The characteristics of "fake good" or "fake bad" response sets were investigated by the use of adolescent subjects in two settings. Ninety-four public high-school students were administered the MMPI with standard and "fake bad" instructions, and 24 adolescents in inpatient psychiatric treatment were administered the MMPI under standard and "fake good" instructions. The MMPI profiles generated by special instructional sets were analyzed in relation to the subject's age, sex, race, and actual MMPI profile features. Findings indicated that although sex and race effects were evident in normal adolescents' attempts to simulate psychopathology on the MMPI, teenagers generally produce profiles containing grossly exaggerated symptom patterns that are relatively easy to detect as invalid. In contrast, it was found that a substantial number of psychiatrically disturbed adolescents may effectively simulate normal profiles and that effectiveness in these attempts was related to greater age and lower actual MMPI T-score values on the Hs and Hy scales.     

The influence of item order on intentional response distortion in the assessment of high potentials: Assessing pilot applicants

An experiment was conducted to investigate the effects of item order and questionnaire content on faking good or intentional response distortion. It was hypothesized that intentional response distortion would either increase towards the end of a long questionnaire, as learning effects might make it easier to adjust responses to a faking good schema, or decrease because applicants' will to distort responses is reduced if the questionnaire lasts long enough. Furthermore, it was hypothesized that certain types of questionnaire content are especially vulnerable to response distortion. Eighty‐four pre‐selected pilot applicants filled out a questionnaire consisting of 516 items including items from the NEO five factor inventory (NEO FFI), NEO personality inventory revised (NEO PI‐R) and business‐focused inventory of personality (BIP). The positions of the items were varied within the applicant sample to test if responses are affected by item order, and applicants' response behaviour was additionally compared to that of volunteers. Applicants reported significantly higher mean scores than volunteers, and results provide some evidence of decreased faking tendencies towards the end of the questionnaire. Furthermore, it could be demonstrated that lower variances or standard deviations in combination with appropriate (often higher) mean scores can serve as an indicator for faking tendencies in group comparisons, even if effects are not significant.     

Deceptiveness on the PAI: a study of naïve faking with psychiatric inpatients

In this study, we sought to explore the diagnostic accuracy of the Personality Assessment Inventory (PAI; Morey, 1991) Validity scales (Negative Impression Management [NIM] and Positive Impression Management [PIM]) and indexes (Malingering index, Defensiveness index [DEF]; Morey, 1993, 1996; Cashel Discriminant Function; Cashel, Rogers, Sewell, & Martin-Cannici, 1995; and Rogers Discriminant Function [RDF]; Rogers, Sewell, Morey, & Ustad, 1996) to identify differences in profiles completed by psychiatric inpatients under standardized instructions (Time 1) and after random assignment (Time 2) to a fake good (n=21), fake bad (n=20), or retest (n=21) scenario. Repeated measures analysis of variance revealed a significant interaction effect. Whereas the retest group did not show any significant changes on the PAI variables from Time 1 to Time 2, both faking groups showed changes in expected directions. Discriminant function analyses revealed that NIM, RDF, and lower scores on DEF best differentiated between the faking bad and retest groups. PIM was the only nonredundant significant score discriminating the faking good and retest groups. Cutoffs for these scales and indexes established in prior research were supported using diagnostic efficiency statistics. Results suggest that NIM and RDF in faking bad scenarios and PIM in faking good scenarios are most sensitive to unsophisticated attempts to dissimulate by inpatient psychiatric patients.