LINKING O*NET JOB ANALYSIS INFORMATION TO JOB REQUIREMENT PREDICTORS: AN O*NET APPLICATION

This is an exploratory study that examined the possible application of the job component validity (JCV) model to identify potential employee selection instruments and to determine job requirement levels from O*NET job analysis data, following a research paradigm established with the Position Analysis Questionnaire (PAQ). Job requirements were measured by mean aptitude test scores on the General Aptitude Test Battery (GATB), and the ratings on the O*NET Generalized Work Activities (GWAs) were selected as representative O*NET job analysis data. Multiple correlation coefficients ranging from .35 to .89 were found when predicting mean GATB test scores from GWAs. Similar to JCV research some 30 years ago, predictions were strongest for cognitive aptitudes and weakest for manual dexterity. The data were examined under both rational and cross-validated empirical models. The results have positive implications for the development of a database that would support JCV estimates derived from O*NET job analysis data and allow practitioners to use O*NET data to help identify useful employee selection instruments.