1/5/2024 0 Comments About military mosWe then carried out PCAs across all Army occupations. To accomplish this, we generated O*NET dimension scores for roughly one-third of Army occupations that do not currently have direct equivalents in the O*NET system. The goal of the current report is to derive O*NET-based summary dimensions of military occupations for use in future research on associations between occupational characteristics and soldier outcomes. It is not clear, though, whether the same components/factors adequately characterize military occupations, as not all DoD occupation codes have direct equivalents to civilian occupations. 20, 21, 24– 26 A number of stable components/factors have been found in these studies. 15 Principal components analysis (PCA) and exploratory factor analyses (EFA) have consequently been used to derive composite measures of multivariate O*NET item profiles. 20– 23 However, the complexity and overlap among the 246 O*NET dimensions make it difficult to distinguish clear effects of particular job characteristics. O*NET has been used to examine effects of job conditions on a variety of outcomes in the civilian labor force. 16– 18 O*NET version 15, 19 which was used in the current report, contains 853 occupational groups rated on 246 different descriptive dimensions. 16 The job requirements (knowledge, skills, abilities, education) and work characteristics (activities, tasks, settings) dimensions used in O*NET were selected from dimensions found important in the occupational analysis literature. Department of Labor (DoL) to standardize reporting of occupational statistics based on objective ratings of diverse job requirement and work characteristics across the labor force. One way to address these limitations is to use a conceptual scheme to classify military occupations into a small number of categories using objective ratings of job conditions based on the Occupational Information Network (O*NET) system. 13, 14 A limitation of these military occupational studies is that the denominator population is too small to generate stable outcome estimates for most individual occupations, whereas broadly defined occupational groups, such as two-digit Department of Defense-wide occupation codes, are not designed to define a meaningful dimension in predicting a diverse range of outcomes. 9Īlthough few comparable studies have been carried out in the military, research has documented significant differences across military occupations in rates of job satisfaction, 10 injury, 11 disability, 12 and suicide. 1 These studies have documented such things as low rates of job satisfaction among workers with jobs featuring a combination of high demands and low autonomy, 4, 5 low work performance among workers exposed to high-intensity artificial lighting, 6 high rates of hypertension among emergency respondents, 7, 8 and high rates of suicide among farmers. A long tradition of research in organizational psychology and related disciplines has examined occupational differences in worker’s health, 1, 2 job satisfaction, 1, 3 and work performance.
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