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THE SUBSTANTIVE NATURE OF PERFORMANCE VARIABILITY: PREDICTING INTERINDIVIDUAL DIFFERENCES IN INTRAINDIVIDUAL PERFORMANCE
Author(s) -
PLOYHART ROBERT E.,
HAKEL MILTON D.
Publication year - 1998
Publication title -
personnel psychology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 6.076
H-Index - 142
eISSN - 1744-6570
pISSN - 0031-5826
DOI - 10.1111/j.1744-6570.1998.tb00744.x
Subject(s) - psychology , latent growth modeling , growth curve (statistics) , statistics , selection (genetic algorithm) , sample (material) , econometrics , significant difference , developmental psychology , mathematics , machine learning , chemistry , chromatography , computer science
The nature of intraindividual performance variability over time, along with individual difference predictors of such variability, was examined using latent growth curve methodology. Quarterly sales performance for a sample of securities analysts ( n = 303) was measured at 8 times. Average intraindividual performance approximated a basic “learning” curve, although there were considerable individual differences in each of the latent performance growth parameters. Individual difference predictors from a biodata inventory were moderately related to these latent growth parameters. Theoretical and practical implications of performance variability for personnel selection are also discussed.