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.     

The Impact of Biodata Item Attributes on Validity and Socially Desirable Responding

Mael's taxonomy of biodata item attributes is applied to two biodata instruments in order to investigate the relationship between item attributes and (1) validity and (2) socially desirable responding. The results show a strong relationship between item attributes and validity, with items that are more historical, external, objective, discrete, and verifiable and less job relevant displaying stronger validities. Weaker relationships are observed between the item attributes and socially desirable responding. Implications of these results for building a clearinghouse for documentation of objective biodata items is 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).     

Time Is Money: Polychronicity as a Predictor of Performance Across Job Levels

This series of studies examined the construct and criterion-related validity of polychronicity (i.e., preferences and attitudes associated with multitasking) in managerial and nonmanagerial jobs. A person–situation approach was taken to understand the individual differences and job demand characteristics that help explain the relationship between polychronicity and job performance. Hypotheses were tested with two samples of employees in different organizations (N?=?222 and 168, respectively). Results provide support for polychronicity as a predictor of job performance and a correlate of other individual differences measures (e.g., personality, job-relevant skills). In addition, polychronicity accounted for variance in job performance beyond personality, biodata, and ability. Results are discussed in the context of future research and applications for identifying contexts in which polychronicity is a salient predictor.     

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.     

A Biodata Inventory Administered via Interactive Voice Response (IVR) Technology: Predictive Validity, Utility, and Subgroup Differences

Although organizations are increasingly using interactive voice response (IVR) systems to help screen and select job applicants, few if any published studies have investigated the effectiveness of such systems. The current study responded to this need by evaluating a biodata inventory administered via IVR technology. A predictive validity study revealed that both a 42-item biodata measure and a more parsimonious 6-item composite correlated with supervisor ratings of performance and did not result in adverse impact or differential prediction. In addition, a utility analysis indicated that both IVR biodata measures would likely result in considerable financial gains to the hiring organization. The implications of these results for selection research and practice are discussed.     

Proctored Versus Unproctored Internet Tests: Are unproctored noncognitive tests as predictive of job performance?

As the usage of unproctored Internet testing (UIT) increases in selection settings, concerns about the validity of such practices must be addressed. While recent examinations of the issue have focused primarily on the practicality, ethics, and potential legal ramifications of UIT, this paper provides an examination of the criterion‐related validity of unproctored assessments. Using a database of validity evidence, we examine the predictive validity of several noncognitive assessments (i.e., personality and biodata) with respect to a number of subjective and objective job performance metrics. Results generally indicate that assessments administered in proctored and unproctored settings have similar validities. Limitations of this research and implications for practice are discussed.     

The Validity of Verifiable and Non‐verifiable Biodata Items: An Examination Across Applicants and Incumbents

This study examines the influence of item verifiability (non‐verifiable vs. verifiable), context (applicant vs. incumbent), and keying procedure on biodata mean test scores and validity. Concurrent and predictive validation studies were conducted using a sample of 425 call center incumbents and a sample of 410 call center applicants. Although applicants did not obtain significantly higher mean biodata scores, results provide support for the hypothesis that the non‐verifiable biodata composite would be less valid in the applicant context, while the verifiable biodata composite would be equally valid across both the applicant and incumbent contexts. The same pattern of results was obtained using both item‐ and option‐keying procedures. Implications for research and practice are 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.     

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.     

履历数据测评的效度分析

履历数据是人员测评的重要手段, 但其组织情景性限制使得国外同类工具不能适用于国内人事选拔, 国内也缺乏实证研究验证其信度、效度。本研究结合某通信企业的招募选拔工作, 开发履历数据分析工具, 选取250名应聘者的履历数据、一般认知能力、大五个性和面试结果数据, 通过效标关联效度、增量效度思想, 分析履历数据有效性。结果表明, 以面试结果为效标, 履历数据具有良好的效标关联效度, 与其他测评工具组合使用时有良好的增量效度。     

基于行为事件的履历资料评估

行为事件的履历资料评估能有效克服传统履历数据构思效度弱、情景限制多等问题。本研究结合某通信企业招聘工作,选取250名应聘者数据,结合关键事件法,通过对履历事件的行为锚定来评估应聘者的胜任特征。研究在多重比较行为履历资料、履历表数据、认知能力等多个指标组合对录用结果预测的回归模型基础上,检验新增指标的预测效度。结果表明,行为事件的履历资料评估具有效标关联效度,与其他工具组合使用时具有增量效度。     

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.     

The Role of Cognitive Ability Tests in Employment Selection

Cognitive ability tests correlate with measures of job performance across many jobs. However, cognitive ability tests produce racial differences that are 3 to 5 times larger than other predictors-such as biodata, personality inventories, and the structured interview-that are valid predictors of job performance. Given that (a) cognitive ability tests can be combined with other predictors such that adverse impact is reduced while overall validity is increased, and (b) alternative predictors with less adverse impact can produce validity coefficients comparable to those obtained with cognitive ability tests alone, sole reliance on cognitive ability tests when alternatives are available is unwarranted.     

Developing a biodata measure and situational judgment inventory as predictors of college student performance

This article describes the development and validation of a biographical data (biodata) measure and situational judgment inventory (SJI) as useful predictors of broadly defined college student performance outcomes. These measures provided incremental validity when considered in combination with standardized college-entrance tests (i.e., SAT/ACT) and a measure of Big Five personality constructs. Racial subgroup mean differences were much smaller on the biodata and SJI measures than on the standardized tests and college grade point average. Female students tended to outperform male students on most predictors and outcomes with the exception of the SAT/ACT. The biodata and SJI measures show promise for student development contexts and for selecting students on a wide range of outcomes with reduced adverse impact.     

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.     

Incremental Validity of Interactive Multimedia Simulations in Two Organizations

Interactive multimedia simulations are conceptually distinct from other simulations commonly used as selection tools, such as assessment centers and situational judgment tests, and represent a potentially cost‐effective and job‐related candidate assessment tool. This study investigated the predictive validity of these simulations with a combined sample of call center employees from two organizations. Results indicate that customized interactive multimedia simulations demonstrate substantial criterion‐related validity and significant incremental validity over other noncognitive measures such as biodata and personality.     

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.     

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.     

Impact of elaboration on socially desirable responding and the validity of biodata measures

The current study investigated the impact of requiring respondents to elaborate on their answers to a biodata measure on mean scores, the validity of the biodata item composites, subgroup mean differences, and correlations with social desirability. Results of this study indicate that elaborated responses result in scores that are much lower than nonelaborated responses to the same items by an independent sample. Despite the lower mean score on elaborated items, it does not appear that elaboration affects the size of the correlation between social desirability and responses to biodata items or that it affects criterion-related validity or subgroup mean differences in a practically significant way.