A CONCEPTUAL RATIONALE FOR THE DOMAIN AND ATTRIBUTES OF BIODATA ITEMS

There is considerable disagreement among researchers regarding the defining attributes of biodata items, especially in contrast to other self-report measures. This paper provides a conceptual rationale for the use of biodata in order to evaluate various proposed attributes of biodata, and to clarify similarities and differences between biodata and temperament items. It is suggested that the core attribute of biodata items is that the items pertain to historical events that may have shaped the person's behavior and identity. Other attributes advanced as antidotes to socially desirable responding and faking are that biodata items reflect external events, that they be limited to objective and first-hand recollections, that they be potentially verifiable, and that they measure discrete, unique events when appropriate. Some researchers also require that the life events being sampled be controllable and equally accessible to all respondents. Items may also need to be visibly job relevant and nonintrusive to avoid legal censure. Disagreements among researchers regarding the importance of these attributes are discussed, and implications for practice and research are proposed.     

BEYOND THE MEAN BIAS: THE EFFECT OF WARNING AGAINST FAKING ON BIODATA ITEM VARIANCES

We studied the effects of faking biodata test items by randomly warning 214 of 429 applicants for a nurse's assistant position against faking. While the warning mitigated the propensity to fake, the specific warning effects depended on item transparency. For transparent items, warning reduced the extremeness of item means and increased item variances. For nontransparent items, warning did not have an effect on item means and reduced item variances. These faking effects were best predicted when transparency was operationalized in terms of item-specific job desirability in addition to the item-general social desirability. We also demonstrated a psychometric principle: The effect of warning on means at the item level is preserved in scales constructed from those items, but the effect on variances at the item level is masked at the scale level. These results raise new questions regarding the attenuating effects of faking on validity, and regarding the benefit of warning applicants against faking.     

Variance in faking across noncognitive measures

There are discrepant findings in the literature regarding the effects of applicant faking on the validity of noncognitive measures. One explanation for these mixed results may be the failure of some studies to consider individual differences in faking. This study demonstrates that there is considerable variance across individuals in the extent of faking 3 types of noncognitive measures (i.e., personality test, biodata inventory, and integrity test). Participants completed measures honestly and with instructions to fake. Results indicated some measures were more difficult to fake than others. The authors found that integrity, conscientiousness, and neuroticism were related to faking. In addition, individuals faked fairly consistently across the measures. Implications of these results and a model of faking that includes factors that may influence faking behavior are provided.     

THE EFFECTS OF REQUIRED ELABORATION OF ANSWERS TO BIODATA QUESTIONS

The impact of a request that examinees elaborate on their answers to a subset of items in a biodata instrument was evaluated. Four forms of a test in which different subsets of items are elaborated were randomly administered to 4 groups of examinees taking a pilot form of a selection instrument for a civil service position. Results indicated significantly lower scores on items for which elaborations were requested than the items for which no elaborations were requested. Lower scores were also observed for nonelaborated items when these items were embedded among those that were elaborated, and lower scores were found when the elaborated items were presented only in the first half of the test. Although the results suggest that requiring elaborated answers may reduce scores on biodata items, several practical and theoretical questions should be investigated to determine the utility of this approach as a method of reducing socially desirable responding.     

TELL ME SOME MORE: EXPLORING HOW VERBAL ABILITY AND ITEM VERIFIABILITY INFLUENCE RESPONSES TO BIODATA QUESTIONS IN A HIGH‐STAKES SELECTION CONTEXT

Although self‐rated or self‐scored selection measures are commonly used in selection contexts, they are potentially susceptible to applicant response distortion or faking. The response elaboration technique (RET), which requires job applicants to provide supporting information to justify their responses, has been identified as a potential way to minimize applicant response distortion. In a large‐scale, high‐stakes selection context (N= 16,304), we investigate the extent to which RET affects responding on a biodata test as well as the underlying reasons for any potential effect. We find that asking job applicants to elaborate their responses leads to overall lower scores on a biodata test. Item verifiability affects the extent to which RET decreases faking, which we suggest is due to increased accountability. In addition, verbal ability was more strongly related to biodata item scores when items require elaboration, although the effect of verbal ability was small. The implications of these findings for reducing faking in personnel selection are delineated.     

They Don't Do It Often,But They Do It Well: Exploring the relationship between applicant mental abilities and faking

Despite its scientific and practical importance, relatively few studies have been conducted to investigate the relationship between job applicant mental abilities and faking. Some studies suggest that more intelligent people fake less because they do not have to. Other studies suggest that more intelligent people fake more because they have increased capacity to fake. Based on a model of faking likelihood, we predicted that job candidates with a high level of mental abilities would be less likely to fake a biodata measure. However, for candidates who did exhibit faking on the biodata measure, we expected there would be a strong positive relationship between mental abilities and faking, because mental abilities increase their capacity to fake. We found considerable support for hypotheses on a large sample of job candidates (N=17,368), using the bogus item technique to detect faking.     

Biodata Validity Decay and Score Inflation with Faking: Do Item Attributes Explain Variance Across Items?

Rating scales were developed to assess the biodata dimensions offered by Mael (1991). Biodata items assessing conscientiousness were administered under honest-responding and faking-good conditions. Item attributes were examined to determine their value in predicting item validity for honest respondents and item validity for faking respondents. Analyses were also conducted to determine whether the degree of item faking was related to item attributes. Item attributes associated with item validity for honest respondents are not the same as the item attributes indicative of item validity for the faking respondents. We suggest that this makes it very difficult to develop a biodata questionnaire which will be equally valid for both honest and faking respondents.     

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.     

Faking of the Implicit Association Test Is Statistically Detectable and Partly Correctable

Male and female participants were instructed to produce an altered response pattern on an Implicit Association Test measure of gender identity by slowing performance in trials requiring the same response to stimuli designating own gender and self. Participants' faking success was found to be predictable by a measure of slowing relative to unfaked performances. This combined task slowing (CTS) indicator was then applied in reanalyses of three experiments from other laboratories, two involving instructed faking and one involving possibly motivated faking. Across all studies involving instructed faking, CTS correctly classified 75% of intentionally faking participants. Using the CTS index to adjust faked Implicit Association Test scores increased the correlation of CTS-adjusted measures with known group membership, relative to unadjusted (i.e., faked) measures.     

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     

Applying theory to the black box: A model for empirically scoring biodata

Despite being an effective predictor of job performance, empirically keyed biodata assessments have been criticized as black box empiricism unlikely to generalize to new contexts. This paper introduces a model that challenges this perspective, explicating how biodata content, job demands, and criterion variables collectively influence the construct validity, and generalizability of empirically scored biodata. Across two field studies, expected changes in scale correlations with external measures were found that coincided with changes in the contextual similarity between calibration and holdout contexts, the criteria used, and the content validity of biodata items. Collectively, this paper offers a framework that helps understand and optimize empirical biodata keying in practice, furthering confidence for their use in applied settings.     

Using Biodata to Predict Turnover,Organizational Commitment,and Job Performance in Healthcare

The purpose of the present study was to test whether or not a biodata instrument could be used to predict turnover, organizational commitment, and job performance in healthcare organizations. A criterion‐related, predictive validation strategy was used using a sample of 672 employees from two different hospitals in the southeastern United States. Supervisory ra0tings of organizational commitment and job performance were highly correlated with responses to the organizational commitment scale and the total score on the biodata instrument, respectively. Actual turnover was correlated with responses to the retention scale, although the effect size was small. Additionally, the study examined the fairness of biodata in this context as it relates to differences in performance among minority and non‐minority candidates. The findings in this study suggest that using such an instrument may provide organizations with the potential to improve organizational commitment and job performance, while reducing turnover with minimal group differences.     

Distinguishing personality and biodata items using confirmatory factor analysis of multitrait-multimethod matrices

Hard biodata, soft biodata, and personality items were developed to measure three personal constructs (Dependability, Demeanor, and Ambition). This resulted in nine sets of items forming a three-method (personality, soft biodata, and hard biodata) by three-trait (Dependability, Demeanor, and Ambition) Multitrait-Multimethod (MTMM) matrix. Four models were proposed to represent the nine scales and each was tested on a sample of 477 job applicants and subsequently cross-validated on a sample of 958 job applicants, using confirmatory factor analysis. The model where the personality and soft biodata items represented one factor and the hard biodata items represented another, distinct factor, was both the best fitting and most parsimonious model, thus confirming Asher's (1972) taxonomy.This research was based in part on a doctoral dissertation submitted to Wayne State University. I would like to thank committee members Lois Tetrick (Chair), Alan Bass, Sebastiano Fisicaro, and Thomas Naughton. An earlier version of this paper was presented at the 8th annual conference of the Society for Industrial and Organizational Psychology (SIOP), San Francisco, CA: April, 1993.     

应聘情境下作假识别量表的开发

在应聘情境中, 被试容易对人格测验作假。应对作假的常用方法是采用社会称许性量表对作假直接测量, 再去校正和识别作假效应。但是采用社会称许性量表测量作假存在很多问题, 因而基于作假的特殊性质开发了《作假识别量表》。采用探索性因素分析证实了量表的单维性, 解释率为54.650%。概化理论检验表明测验信度较好, G系数为0.906, j系数为0.902。采用一个真实的应聘情境检验效度, 发现《作假识别量表》对作假更加敏感, 能够比较充分地测量作假。     

Exaggeration is harder than understatement, but practice makes perfect!

Previous research on the fakeability of the Implicit Association Test (IAT) yielded inconsistent results. The present study simultaneously analyses several relevant factors: faking direction, type of instructions, and practice. Furthermore, it takes baseline individual differences into account. After a baseline assessment in a self-esteem IAT without faking instructions (t0), participants in the faking conditions then (t1) faked high or low scores without being provided with recommended strategies on how to do so (i.e., individual strategies). At t2 and t3, they were asked to fake the IAT after having received information on recommended faking strategies. At t4, faking direction was reversed. Without the recommended strategies, faking high scores was not possible, but faking low scores was. With the recommended strategies, participants needed additional practice to fake high scores. When faking directions were reversed, participants were successful without additional practice, suggesting a transfer in faking skills. In most of the faking attempts, faking success was moderated by individual differences in baseline implicit self-esteem. This suggests that the complex interplay of factors influencing faking success should be taken into account when considering the issue of fakeability of the IAT.     

Rethinking the use of personal history information: The value of theory-based biodata for predicting turnover

This article argues the case for the use of theoretically-grounded biodata information as valid predictors of employee behavior and outlines a procedure for the use of biodata variables with relatively small samples. The usefulness of this approach was demonstrated in a study assessing the ability of theory-based biodata items to predict the turnover of bank tellers. The results of this study demonstrate the predictive power and the practical value of using carefully chosen biodata information. In particular, tenure in prior job, relevance of prior job experience, and education level were found to significantly predict teller turnover.     

NONE OF YOUR BUSINESS: PARAMETERS OF BIODATA INVASIVENESS

In this research, biodata items were evaluated for their perceived invasiveness by over 200 professionals (psychologists and social scientists), as well as three samples of nonprofessionals. In addition to item subject matter, perceived invasiveness of items was related to various biodata attributes, in that items that were more verifiable, more transparent in purpose, and more impersonal were seen as less invasive. Subjects with more positive attitudes toward biodata and organizational selection measures viewed fewer items as invasive, as did those with more education. Dispositional variables and gender were related to invasiveness perceptions in some samples. Four general motives or topics were determined to generate the greatest concern: fear of stigmatization, concern about having applicants recall traumatic events, intimacy, and religion. The results may help develop consensus about defining "invasive" and contribute to ways of reducing perceptions of invasiveness.     

Scoring Biodata: Is it rational to be quasi‐rational?

Five quasi‐rational biodata scales were developed by empirically keying biodata items to predict scores on a measure of the Big Five dimensions of personality. The criterion‐related validities of the quasi‐rational scales were compared to empirical and rational biodata keying methods using supervisory ratings of job performance as the criterion. Empirical keying outperformed the quasi‐rational and rational methods (which had similar validities).     

Is the implicit association test immune to faking?

One of the main advantages of measures of automatic cognition is supposed to be that they are less susceptible to faking than explicit tests. It is an empirical question, however, to what degree these measures can be faked, and the response might well differ for different measures. We tested whether the Implicit Association Test (IAT, Greenwald, McGhee, & Schwartz, 1998) cannot be faked as easily as explicit measures of the same constructs. We chose the Big-Five dimensions conscientiousness and extraversion as the constructs of interest. The results show, indeed, that the IAT is much less susceptible to faking than questionnaire measures are, even if no selective faking of single dimensions of the questionnaire occurred. However, given limited experience, scores on the IAT, too, are susceptible to faking.     

Specification of Scales in Biodata Form Development: Rational vs. Empirical and Global vs. Specific

Although empirical keying has been the most popular scoring strategy with biodata, researchers have increasingly argued that rational approaches are better for advancing theory. Higher validities and less faking with empirical keys, however, have made many reluctant to abandon them. Research in the personality field provided support for the notion that many rational biodata scales may be multi-faceted. Development of more specific scales was suggested as a technique for creating rational scales with validities that more closely approximate that of empirical keys. Three different strategies (rational, internal, and external/empirical) were used in the scoring of a biodata inventory for use with mechanical equipment franchise owners. The rational and internal approaches were investigated within two samples and at two levels - very specific constructs and global constructs. In addition, two types of criteria were used, including an objective measure of sales and supervisory performance ratings. The specific rational scales were as predictive as the empirical item key. Strategies for developing and scoring a biodata form using a rational approach are discussed.