INCREMENTAL VALIDITY OF EMPIRICALLY KEYED BIODATA SCALES OVER GMA AND THE FIVE FACTOR PERSONALITY CONSTRUCTS

The major purpose of this study was to determine whether empirically keyed, cross-validated biodata scales accounted for incremental variance over that accounted for by the five factor model (FFM) of personality and GMA predictors. A concurrent validation study was employed using 376 employees in a clerical job (222 in the developmental sample and 154 in the cross-validation sample). Results for the cross-validation sample provided support for the hypothesis that biodata predictors accounted for substantial incremental variance beyond that accounted for by the FFM predictors and GMA for 3 of the 4 criteria. Support was also found for the hypothesized zero-order correlations between GMA, FFM, and biodata predictors and the 4 criteria. Theoretical and practical implications are discussed.     

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).     

Situational influences on destructive acts

Social psychological approaches to destructive behavior have stressed the importance of environmental factors, but, the range of potentially important life events has not been identified. Using a personality-based model of destructiveness, a pool of relevant biodata items were generated. A sample of 285 college students completed the situational-based biodata measure, the CPI, and two standardized integrity screening measures. A factor analysis of the biodata items resulted in seven factors: alienation, nonsupportive family, negative adult models, life stressors, competitive pressures, negative peer group and financial need. In a series of blocked regressions the situational scales produced significant increases in prediction over the personality variables on the measures of integrity, socialization and delinquency. The implications of these findings for selection and research are discussed. This research was supported by a grant from the U.S. Office of Naval Research (Contract No. 00014-0339, Michael D. Mumford and Theodore L. Gessner, Principal Investigators.     

An Ideal Student Factor and the validity of noncognitive measures of student potential

The presence of a general factor has been found in previous research on the utilization of personality tests in selection contexts. Termed the Ideal Employee Factor (IEF), this factor is thought to represent an effort to present oneself as an ideal employee to some degree on all items in the test. Examining the responses to biodata and situational judgment items, we provide evidence for the existence of a factor similar to the IEF within the college admissions context, termed the Ideal Student Factor (ISF), but the magnitude of this factor relative to specific factors was small. Mixed support was found for the hypothesized differences in the factor loadings on the ISF for different constructs included in the model. The presence of the ISF was not found to substantially impact the validity of other predictors within this study. The overall conclusion is that this general factor would not impact the use of these biodata and situational judgment items in college admissions.     

Job Requirements Biodata as a Predictor of Performance in Customer Service Roles

A job requirements approach to biodata item specification, similar to the content-valid job analysis approach developed by Pannone (1984), is used to predict customer service. Applicants rate the extent to which their current and previous jobs involve tasks and behaviours that have been identified through an analysis of the target job. On a sample of 245 employees in an international hotel, the criterion-related validity of job requirements biodata compares favourably with traditional construct-oriented biodata measures of customer service, cognitive ability and personality (Conscientiousness, Agreeableness and Extroversion). The job requirements approach provides a simple, direct and content-valid method of biodata item specification. As the approach can also be tailored for particular jobs or organizations, validity is also potentially optimized.     

Predicting Voluntary Turnover from Job Applicant Biodata and Other Applicant Information

Research suggests that biodata (i.e., personal history information) is one of the best predictors of voluntary employee turnover. Given this fact, it is surprising that research on biodata has declined in recent years, and that biodata is not commonly used by employers for selecting employees. This article presents the results of a study that focused on the ability of biodata items and other information available on job applicants to predict voluntary turnover. With one exception, the hypotheses offered were confirmed. Specifically, applicant status (i.e., previously had applied for a job), submission of optional personal history information, employment status (i.e., job applicant was employed), and recruitment source (i.e., employee referral) all predicted voluntary turnover. The ability of applicant status, submission of a personal statement, and recruitment source to predict employee performance also was examined. Applicant status and recruitment source were found to predict subsequent performance ratings.     

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.     

Effect of Item Level Social Desirability on Factor Structure Stability

This study examined the effect of item‐level social desirability as a threat to construct validity for both a five‐factor biodata and personality inventory. Seven hundred and five participants were randomly assigned to either an Answer Honestly or Faking condition. All participants completed a biodata inventory and a NEO‐Five‐Factor Inventory. Both inventories' items were divided by low/high social desirability value (SDV) scores and grouped together. Differences between samples' covariance matrices and factor structure fit were then analyzed. It was predicted that items grouped by low SDV compared with those grouped by high SDV, would result in smaller changes in covariance matrices across conditions, and more closely retain factor structures consistent with the Five‐Factor Model. Although the results of this study supported predictions that covariance matrices changed less for low‐SDV items, overall results indicate that item‐level social desirability did not degrade the factor structure.     

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.     

Job context, selection decision outcome, and the perceived fairness of selection tests: biodata as an illustrative case

S. W. Gilliland (1993) has proposed a model of perceived selection system fairness to help understand applicants' prehire and posthire behavior. The present study aimed to verify and extend his framework by investigating the role of job context in the formation of fairness perceptions of biodata. A sample of 255 students (108 men, 147 women) completed an operational biodata instrument, believing that it would be used to hire persons for either international, local, or unspecified entry-level managerial positions. Participants were then presented with outcome information (selected or rejected for further consideration). Consistent support was found for the research hypotheses derived from the Gilliland model. Participants' perceptions of the fairness and job relatedness of biodata were affected by the selection context and decision outcome. The importance of considering selection context in assessments of perceived test fairness is discussed.     

A LONGITUDINAL ANALYSIS OF BIOGRAPHICAL SUBGROUPS USING OWENS' DEVELOPMENTAL-INTEGRATIVE MODEL

The study examined the differential validity of 20 male and 14 female biographical subgroups in terms of 12 factor analyzed dimensions of postcollege experience. Owens' Developmental-Integrative Model hypothesizes that different subgroups of individuals with similar within-group early life experiences should exhibit significant differences (between-group) in a wide variety of life experiences. A sample of 1428 first-year college students were statistically grouped into 23 male and 15 female biodata subgroups after completing a standardized 118-item biodata form (Owens, 1968). Seven years later, a 97-item post-college experience inventory obtained scores for 484 of the original subjects on 12 factors of post-college behavior including job satisfaction, transition from college, personal and marital adjustment, and others. Significant univariate and multivariate differences were found between the biodata subgroups across the 7-year period. Implications for the validity of the D-I model are offered.     

Personality, job level, job stressors, and their interaction as predictors of coping behavior

Hypotheses concerning the relationships among job stressors, job level, personality, and coping responses were investigated in a sample of 305 electrical contracting employees. Coping behaviors were measured with questionnaire items based on interviews conducted with a sample of the subjects. Neuroticism (N) and Extraversion (E) were the personality variables most strongly related to coping behavior. Overall, more coping variance was explained by personality than by job stressors; however, when the effects of job level and job stressors were combined, they explained more variance in complaining/quitting and seeking social support than did the personality variables. Both work situation and personality seem to be important variables in the choice of coping behaviors. There was no evidence of interactions among personality, stressors, and job level in explaining coping behavior.     

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.     

Personality attributes as predictors of psychological well-being for NCOs

The authors examined the nature of the relationships between job-specific personality dimensions and psychological well-being for noncommissioned officers (NCOs) in the Turkish Armed Forces (TAF). A job-specific personality inventory, comprising measures of 11 personality dimensions was developed for selection purposes. The inventory was administered to a representative sample of 1,428 NCOs along with a general mental health inventory developed by the authors, which consisted of 6 dimensions of psychological well-being. Exploratory and confirmatory factor analyses suggested existence of a single factor underlying the 6 psychological well-being dimensions, Mental Health, and 2 latent factors underlying the 11 personality dimensions, Military Demeanor and Military Efficacy. The 2 personality constructs explained 91% of the variance in the Mental Health construct. A stepwise regression indicated that beta weights of the personality measures were significant except for military bearing, orderliness, and dependability. Results suggest that job-specific personality attributes were predictive of mental health. Implications of the findings for the selection of NCOs are discussed.     

Why Openness to Experience is not a Good Predictor of Job Performance

Recent meta‐analyses investigating the relationship between personality and job performance have found that openness to experience is the least predictive of the Big Five factors. Unlike other research that has sought to explain the low criterion‐validity with relation to job performance, this study explores the actual construct of openness to experience, suggesting that it consists of two dimensions that relate differentially to job performance thus reducing correlations between overall measures of openness to experience and performance criteria. Exploratory factor analysis of the six sub‐dimensions, or facets, of the NEO PI‐R (a popular measure of the Big Five factors) produced two factors of openness to experience corresponding to different areas to which people are open. A confirmatory factor analysis on a second set of data provided some support for this result. A pattern of differential relationships between the two factors and other variables including personality, biodata and supervisor‐rated performance offered further support for the multidimensionality of openness to experience. The implications of these findings for future research in the selection context are discussed.     

The interaction of personality and job scope in predicting turnover

The interaction of employee personality characteristics and job scope in the prediction of turnover was studied. One hundred and nine individuals employed as machine operators (low-scope job) and scientific and technical personnel (high-scope job) within a large manufacturing organization were the sample. No direct relationships were found between personality characteristics and turnover for the combined sample of employees on high- and low-scope jobs. When correlational analyses were carried out within job scope samples it was evident that personality and job scope interacted in predicting turnover. For employees on high-scope jobs, turnover was negatively related to the need for achievement and positively related to the need for affiliation. Turnover was negatively related to the need for affiliation among employees on low-scope jobs. The implications of these findings for future research on turnover were discussed.     

Can chimpanzee (Pan troglodytes) happiness be estimated by human raters?

The authors investigated measurement of chimpanzee “happiness” based on the human trait of subjective well-being (SWB). Zoo workers at 13 zoos used a 7-point scale to rate 128 chimpanzees on four items related to their SWB. The items included assessment of pleasure derived from social interactions, balance of positive and negative moods, success in goal attainment, and the desirability of being a particular chimpanzee. The four items formed a single factor that had excellent interrater reliability and was temporally stable. Examination of the relationship between chimpanzee SWB and six chimpanzee personality factors, five of which resembled the human Big Five factors, showed that chimpanzee SWB varied positively with Dominance, Extraversion, and Dependability factors. SWB was negatively correlated with frequency of submissive behaviors. Age and sex were not significantly related to SWB.     

A Rigorous Test of the Fit of the Circumplex Model to Big Five Personality Data: Theoretical and Methodological Issues and Two Large Sample Empirical Tests

Our objective was to apply the rigorous test developed by Browne (1992) to determine whether the circumplex model fits Big Five personality data. This test has yet to be applied to personality data. Another objective was to determine whether blended items explained correlations among the Big Five traits. We used two working adult samples, the Eugene-Springfield Community Sample and the Professional Worker Career Experience Survey. Fit to the circumplex was tested via Browne's (1992) procedure. Circumplexes were graphed to identify items with loadings on multiple traits (blended items), and to determine whether removing these items changed five-factor model (FFM) trait intercorrelations. In both samples, the circumplex structure fit the FFM traits well. Each sample had items with dual-factor loadings (8 items in the first sample, 21 in the second). Removing blended items had little effect on construct-level intercorrelations among FFM traits. We conclude that rigorous tests show that the fit of personality data to the circumplex model is good. This finding means the circumplex model is competitive with the factor model in understanding the organization of personality traits. The circumplex structure also provides a theoretically and empirically sound rationale for evaluating intercorrelations among FFM traits. Even after eliminating blended items, FFM personality traits remained correlated.     

POTENTIAL VERSUS ACTUAL FAKING OF A BIODATA FORM: AN ANALYSIS ALONG SEVERAL DIMENSIONS OF ITEM TYPE

Two studies examined faking of a 25-item biodata questionnaire. The first study investigated potential and actual faking of the form using three groups: a group told to make themselves look as good as possible, a group told to complete the form honestly, and a group completing the instrument in a real selection situation. Subjects were 58 current employees and 231 job applicants. Results indicated that subjects could fake the instrument when instructed to do so. Also, some faking appeared to be occurring in practice, although results depended upon the composition of the comparison group. Only eight items appeared to be fakable, and only three of these seemed to be faked in practice. In Study 2, 26 business majors rated the biodata items on eight dimensions of item type. Results showed that the three items faked in practice were less historical, objective, discrete, verifiable, and external than other items, and were more job relevant.