Over the past decade, the exponential growth in Professional in Human Resources (PHR) and Senior Professional in Human Resources (SPHR) certifications awarded by the Human Resource Certification Institute substantiates the need to reexamine the base rate of HR job announcements that require or prefer such certification. Based on a sample of Web‐based job announcements in 2002, Aguinis, Michaelis, and Jones (2005) reported that only 1.4 percent required or preferred PHR/SPHR certification. Using a similar design, the current study found that 15.6 percent of job announcements required or preferred PHR/SPHR certification, which is nearly 11 times the rate found in the Aguinis et al. (2005) study. Results also suggested the demand for PHR/SPHR certification was positively related to experience, educational level, and job title level, with the base rate reaching 25.1 percent for managerial HR roles.

AND Lois E. 'ETRICK~Previous research demonstrated that individuals differ in the relative sophistication of their schemas for organizing and interpreting social stimuli (i.e., attributional complexity, or AC) and that AC has been linked to performance in social situations. In the present study, 420 employed students completed surveys for an investigation of the relationship between individual, work role, and job characteristics; AC; and job performance. Educational level and major predicted AC, but leader-member exchange (LMX), decision latitude (DL), and socialhask complexity of the job did not. Contrary to expectations, social and task complexity did not interact with DL and LMX to predict AC. AC, DL, LMX, and educational level predicted job performance. Further, AC interacted with social complexity of the job to predict performance. The results suggest that AC may be both content and process based, and predictive of performance in certain jobs.

No abstract

No abstract

Electronic ré sumé s, online applications, and automated personnel systems have reduced the effort required for a candidate to apply for employment opportunities like selection and promotion. The nature of these systems may affect analyses of adverse impact. For example, candidates that can easily apply to many positions multiple times could strongly influence analyses of adverse impact under particular circumstances. This study demonstrates some potential consequences of including frequent applicants in adverse impact analyses. Using workforce simulation methodology, we illustrate some conditions where a lesser qualified frequent applicant substantially influences the statistical significance of adverse impact detection. In some cases, the adverse impact against a subgroup may be accounted for by a single frequent applicant; in other cases, statistically significant adverse impact may be disguised by a single frequent applicant. We also consider methods for identifying frequent applicants and present options for handling these cases in analyses.