Measuring occupational difficulty: a construct validation against training criteria
Article Abstract:
Burtch, Lipscomb, and Wissman's (1982) occupational learning difficulty index attempts to measure the difficulty of occupations by aggregating workers' evaluations of task learning time. In the present study we examined the construct validity of this job analysis index. To accomplish this, 48 different occupational training programs were described in terms of 15 training contest variables, 6 student characteristics variables, and 7 training performance variables. The results, obtained in a correlational analysis, indicated that the occupational learning difficulty index yielded an interpretable pattern of relationships with the training content and performance variables. We conclude that this task learning time index displays some construct validity as a measure of occupational difficulty and, therefore, should prove of value in designing training, manpower allocation, and job evaluation systems. (Reprinted by permission of the publisher.)
Publication Name: Journal of Applied Psychology
Subject: Social sciences
ISSN: 0021-9010
Year: 1987
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Spurious estimation of validity coefficients in composite samples: some methodological considerations
Article Abstract:
In much test validation research, composite validation samples are formed by aggregating subsamples containing predictor criterion data from different geographical locations, different positions, or different jobs. Typically, the subsamples are treated as random partitions in spite of the fact that mean differences on the predictor, criterion, or both variables may exist. This article demonstrates that predictor or criterion mean differences may lead to over- or underestimation of the population validity coefficient, depending on the profile of mean differences on both variables. Referencing the aggregation bias literature, this article presents equations that explain the effect of mean differences across partitions of the validation sample in terms of a modification of the partial correlation. Solutions to the problem are discussed. (Reprinted by permission of the publisher.)
Publication Name: Journal of Applied Psychology
Subject: Social sciences
ISSN: 0021-9010
Year: 1990
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