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LARGE‐SCALE PREDICTOR VALIDATION IN PROJECT A: DATA COLLECTION PROCEDURES AND DATA BASE PREPARATION
Author(s) -
YOUNG WINNIE Y.,
HOUSTON JANIS S.,
HARRIS JAMES H.,
HOFFMAN R. GENE,
WISE LAURESS L.
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.tb01560.x
Subject(s) - sample (material) , data collection , missing data , scale (ratio) , statistics , sampling (signal processing) , base (topology) , sample size determination , selection (genetic algorithm) , psychology , computer science , mathematics , artificial intelligence , mathematical analysis , chemistry , filter (signal processing) , chromatography , computer vision , physics , quantum mechanics
The data base for the Army Selection and Classification Project (Project A) contains two major samples referred to as the concurrent validation sample and the longitudinal validation sample. The former was drawn from a cohort that joined the Army in 1983/84, and the latter from a cohort that entered in 1986/87. This paper describes the data base resulting from the concurrent sample. The sampling procedure, the distribution of sample sizes over jobs, the total array of variables, and the data collection procedures are described. Also discussed are the extensive data editing procedures that were used to deal with missing data.