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DEVELOPMENT OF MULTIPLE JOB PERFORMANCE MEASURES IN A REPRESENTATIVE SAMPLE OF JOBS
Author(s) -
CAMPBELL CHARLOTTE H.,
FORD PATRICK,
RUMSEY MICHAEL G.,
PULAKOS ELAINE D.,
BORMAN WALTER C.,
FELKER DANIEL B.,
VERA MARIA V.,
RIEGELHAUPT BARRY J.
Publication year - 1990
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.1744-6570.1990.tb01559.x
Subject(s) - sample (material) , job analysis , job performance , psychology , dimension (graph theory) , task (project management) , population , construct (python library) , job design , sampling (signal processing) , contextual performance , measure (data warehouse) , applied psychology , statistics , social psychology , computer science , job satisfaction , data mining , engineering , mathematics , chemistry , demography , systems engineering , filter (signal processing) , chromatography , sociology , pure mathematics , computer vision , programming language
The goal of criterion development in Project A was to construct multiple measures of the major components of job performance such that the total performance domain for a representative sample of the population of entry‐level enlisted positions in the U.S. Army was covered. These measures were to be used as criteria against which to validate both experimental and existing predictors of job performance. The initial model specified that performance is multidimensional within two major categories of dimensions designated as organization‐wide and job specific. The development strategy involved describing the total domain of job content via extensive task analyses and critical incident analyses, generating the critical performance dimensions that constitute it, constructing measures for each dimension, and evaluating each measure using expert judgment and field test data. The specific measures developed consisted of rating scales, tests of job knowledge, hands‐on job samples, and archival records. The major steps in the job analyses, content sampling, instrument construction, and instrument evaluation are described, and the final array of criterion measures is presented.