Political affiliation and employment screening decisions: The role of similarity and identification processes.

Recent research in political science, along with theory in applied psychology, has suggested that political affiliation may be associated with substantial levels of affect and, thus, might influence employment decision-makers. We designed 2 experiments using social media screening tasks to examine the effects of political affiliation similarity on ratings of hireability. Our findings in both studies suggest that the identification (capturing positive affect) and disidentification (capturing negative affect) of a decision-maker with a job applicant's political affiliation were important variables that influenced perceived similarity. Consistent with the similarity-attraction paradigm, perceived similarity was related to liking and, in turn, liking was related to expected levels of applicant task and organizational citizenship behavior performance. Further, in both studies, political affiliation related variables influenced hireability decisions over and above job-relevant individuating information. Future research should continue to examine political affiliation similarity, particularly in light of its frequent availability to decision-makers (e.g., via social media websites). (PsycInfo Database Record (c) 2020 APA, all rights reserved).

The role of political affiliation in employment decisions: A model and research agenda.

Organizational researchers have studied how individuals identify with groups and organizations and how this affiliation influences behavior for decades (e.g., Tajfel, 1982). Interestingly, investigation into political affiliation and political affiliation similarity in the organizational sciences is extremely rare. This is striking, given the deep political divides that exist between groups of individuals described in the political science literature. We draw from theories based on similarity, organizational identification, and person-environment fit, as well as theoretical notions related to individuating information, to develop a model, the political affiliation model (PAM), which describes the implications of political affiliation and political similarity for employment decisions. We set forth a number of propositions based on PAM, to spur future research in the organizational sciences for a timely topic which has received little attention. (PsycINFO Database Record

Work attitudes and decisions as a function of manager age and employee age.

Research has shown the importance of employee age relative to coworker age in determining attitudes, performance, and career-related opportunities. The authors used chronological and subjective measures of employee and manager age to determine whether employee age relative to the manager has an impact on these same outcome variables. One hundred eighty-five managers and 290 employees completed surveys. The strongest and most consistent age effects were observed for interactions between employee and manager chronological age. Both the magnitude and pattern of the employee-manager age interactions varied by self- and manager-rated outcome measures of work attitudes, performance and promotability assessments, and developmental experiences. Results are discussed in light of the relational demography and career timetable literatures.

Who responds to surveys? Assessing the effects of nonresponse in cross-sectional dyadic research.

The purpose of this study was to adapt Goodman and Blum's procedure for assessing the effects of nonrandom sampling in longitudinal research to a cross-sectional study of dyads. To demonstrate the impact of survey nonresponse on means, variances, and relationships between variables, data were collected from a sample of 311 recruiter-applicant pairs. Of the variables included in this investigation, only one (recruiter competence) significantly predicted the likelihood of responding. In addition, there were differences in the means and variances of respondents and nonrespondents on some of the variables included in this study. However, there were no differences in the relationships between independent and dependent variables for the respondent group compared with the entire group of respondents and nonrespondents. In sum, the results suggest that nonresponse does not bias the relationships between variables.