The Effect of Job Level and Amount of Information on the Evaluation of Male and Female Job Applicants

The addition of job-related information regarding an applicant's leadership ability reduced bias against female applicants applying for a managerial position.     

IMPLEMENTATION AND EVALUATION OF AN ASSESSMENT CLASSIFICATION MODEL FOR MANPOWER UTILIZATION1

The present study deals with implementing and evaluating Schoenfeldt's assessment-classification model in an industrial setting using a multiplicity of job families and a range of criteria. A total of 1,987 non-exempt employees of a U. S. oil company were administered an extensive autobiographical inventory. Hierarchical clustering of the resulting biographical profiles produced 18 subgroups of employees such that within any one subgroup, background experiences and interests were similar and between subgroups they were different. A similar methodology was applied to job analysis data in creating a structure of 19 job families for 939 office and clerical jobs. Significant relationships were found between biodata subgroups and criteria of sex, education level, termination rate, equal employment opportunity job classification and performance ratings. There was no statistically significant relationship between subgroup membership and race. In addition, there was a significant relationship between subgroups and job families. Applications for a variety of personnel management practices are discussed.     

Operationalizing relational turbulence theory: Measurement and construct validation

This study assessed measures operationalizing concepts in relational turbulence theory (Solomon, Knobloch, Theiss, & McLaren, 2016). Studies of relational turbulence in marriage have used measures developed in research on dating couples; therefore, one goal was evaluating these variables in a general population sample of married individuals (N = 1,469). A second goal addressed problems in measures of relational uncertainty by assessing alternative scales. Third, associations between relational turbulence theory variables and measures of cognitive, emotional, and communicative phenomena were estimated. Fourth, the distinctiveness of relational turbulence measures relative to measures of other relational qualities was assessed. The conclusions advance new, Likert relational uncertainty scales and highlight the validity of relational turbulence constructs as distinctive predictors of cognitions, emotions, and communication.     

AN INTEGRAL APPROACH TO SUSTAINABLE CONSUMPTION AND WASTE REDUCTION

This article aims to demonstrate how the Integral approach can be utilized to understand and potentially resolve a particular human-ecological issue. It arises out of a research project that involved examining the factors inhibiting sustainable consumption and waste reduction in the community of Calgary. The Integral approach aims to ensure that no fundamental dimensions of the problem are neglected. It beckons us to consider body, mind, and spirit in the personal, cultural, and social realms of reality.     

MODERATORS AND SUBGROUPS1

It is argued that an alternative preferable to the use of moderators is subgrouping subjects on the basis of the patterns or profiles of their scores across several dimensions of significance. This means that the variance between subgroups is of primary concern. Evidence is presented to suggest that, as implied, the simple fact of subgroup membership will often significantly enhance both meaning and prediction.     

ADDITIONAL EVIDENCE FOR THE ACCURACY OF BIOGRAPHICAL DATA: LONG-TERM RETEST AND OBSERVER RATINGS

Although the predictive validity of biographical information has been extensively documented in a variety of environments, the extent to which responses to a biodata questionnaire are accurate has not been adequately investigated. In particular, the accuracy of unverifi-able biodata items has not been determined. Evidence of accuracy was obtained in the present study using a test-retest design and informed external observers for verification. Responses were obtained from 237 study participants and 200 observers. Factor and item re-test correlations were obtained for subject and observer data, and responses were compared using product-moment correlations and t tests. Results provide evidence that many responses to a biodata questionnaire are accurate. Sources of inaccuracy were assessed, including the impact of social desirability, and applications of the findings to industrial uses of biodata were noted.