The O*Net Jobs Classification System: A Primer for Family Researchers

Crouter, Ann C.; Lanza, Stephanie T.; Pirretti, Amy; Goodman, W. Benjamin; Neebe, Eloise C.

doi:10.1111/j.1741-3729.2006.00415.x

Cited by 27 publications

(30 citation statements)

References 19 publications

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“…In addition, one of those two earlier studies carried out a second-order EFA and found the same three-factor structure as we did among the first-order O*NET subdomain factor scores. 25 Furthermore, a number of previous PCA/EFA studies of individual O*NET subdomains 25 and more limited sets of O*NET dimensions 20,24,33–35 found within-subdomain components/factors were similar to most of those identified here.…”

Section: Discussionsupporting

confidence: 80%

Classifying U.S. Army Military Occupational Specialties Using the Occupational Information Network

Gadermann¹,

Heeringa²,

Stein³

et al. 2014

Military Medicine

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Objectives To derive job condition scales for future studies of the effects of job conditions on soldier health and job functioning across Army Military Occupation Specialties (MOSs) and Areas of Concentration (AOCs) using Department of Labor (DoL) Occupational Information Network (O*NET) ratings. Methods A consolidated administrative dataset was created for the “Army Study to Assess Risk and Resilience in Servicemembers” (Army STARRS) containing all soldiers on active duty between 2004 and 2009. A crosswalk between civilian occupations and MOS/AOCs (created by DoL and the Defense Manpower Data Center) was augmented to assign scores on all 246 O*NET dimensions to each soldier in the dataset. Principal components analysis was used to summarize these dimensions. Results Three correlated components explained the majority of O*NET dimension variance: “physical demands” (20.9% of variance), “interpersonal complexity” (17.5%), and “substantive complexity” (15.0%). Although broadly consistent with civilian studies, several discrepancies were found with civilian results reflecting potentially important differences in the structure of job conditions in the Army versus the civilian labor force. Conclusions Principal components scores for these scales provide a parsimonious characterization of key job conditions that can be used in future studies of the effects of MOS/AOC job conditions on diverse outcomes.

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Section: Discussionsupporting

confidence: 80%

Classifying U.S. Army Military Occupational Specialties Using the Occupational Information Network

Gadermann¹,

Heeringa²,

Stein³

et al. 2014

Military Medicine

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“…Inspired by Zimmerman et al,(2004), Crouter et al (2006), Meyer et al (2007), Alterman et al (2008) and Bell et al (2008), exploratory factor analysis was used to combine variables from the O*Net database. Overall Kaiser-Meyer-Olkin (KMO) measure of sampling adequacy was 0.94 indicating the occupational attribute variables had sufficient commonality to warrant a factor analysis (Kaiser, 1974).…”

Section: Methodsmentioning

confidence: 99%

Associations of occupational attributes and excessive drinking

Barnes

Zimmerman

2013

Social Science & Medicine

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Numerous work-related drinking mechanisms have been posited and, oftentimes, examined in isolation. We combined data from over 100 occupational attributes into several factors and tested the association of these factors with measures of alcohol use. We used the NLSY79 2006 wave, a U.S. representative sample of 6,426 workers ages 41 to 49 and the 2006 Occupational Information Network database (O*NET), a nationally representative sample of nearly 1,000 occupations. We conducted exploratory factor analysis on 119 occupational attributes and found three independent workplace characteristics -physical demands, job autonomy, and social engagement -explained the majority of the variation. We then tested the association of these composite attributes with three drinking measures, before and after adjusting for gender, race/ethnicity, and a measure of human capital using count data models. We then stratified by gender and repeated our analyses. Men working in occupations with a one standard deviation higher level of physical demand (e.g. construction) reported a higher number of heavy drinking occasions (+20%, p<0.05). Job autonomy was not significantly associated with measures of alcohol use and when the combined association of higher levels of physical demand and lower levels of job autonomy was examined, modest support for job strain as a mechanism for work-related alcohol consumption was found. In our pooled sample, working in occupations with one standard deviation higher levels of social engagement was associated with lower numbers of drinking days (−9%, p<0.05) after adjustment. Physical demand and social engagement were associated with alcohol consumption measures but these relationships varied by workers' gender. Future areas of research should include confirmatory analyses using other waves of O*Net data and replicating the current analysis in other samples of workers. If our results are validated, they suggest male workers in high physical demand occupations could be targets for intervention.

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“…Using data from the Occupational Information Network (O * Net; Peterson et al, 2001), which has been validated previously (Crouter, Lanza, Pirretti, Goodman, & Neebe, 2006), objective measures of maternal and paternal occupational characteristics were constructed using parents’ job descriptions. The O * Net electronic database contains data reflecting the character of occupations that allows for the comparison of attributes (e.g., knowledge, skills, activities, tasks) within and across occupations.…”

Section: Methodsmentioning

confidence: 99%

Mexican-origin parents’ latent occupational profiles: Associations with parent–youth relationships and youth aspirations.

Wheeler

Updegraff

Umaña‐Taylor

et al. 2014

Developmental Psychology

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This study utilized an ecological, person-centered approach to identify subgroups of families who had similar profiles across multiple dimensions of Mexican-origin mothers’ and fathers’ occupational characteristics (i.e., self-direction, hazardous conditions, physical activity) and to relate these subgroups to families’ sociocultural characteristics and youth adjustment. The study included 160 dual-earner Mexican-origin families from the urban Southwest. Mothers’ and fathers’ objective work characteristics and families’ sociocultural characteristics were assessed when youth were in early to middle adolescence; adjustment was assessed during late adolescence and early adulthood for two offspring in each family. A latent profile analysis identified 3 profiles that evidenced distinct patterns of occupational characteristics: a differentiated high physical activity profile characterized by high levels of physical activity and low levels of self-direction; an incongruent profile characterized by large differences between parents on self-direction, hazards, and physical activity; and a congruent highly self-directed profile characterized by congruence across parents on occupational characteristics. These profiles were linked to sociocultural characteristics (i.e., family income, educational attainment, and acculturation) and to relational adjustment (i.e., mother- and father-youth conflict, father warmth) and educational aspirations. Results are discussed with respect to implications of parents’ work for youth’s future family relationships and attainment.

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The O*Net Jobs Classification System: A Primer for Family Researchers

Cited by 27 publications

References 19 publications

Classifying U.S. Army Military Occupational Specialties Using the Occupational Information Network

Classifying U.S. Army Military Occupational Specialties Using the Occupational Information Network

Associations of occupational attributes and excessive drinking

Mexican-origin parents’ latent occupational profiles: Associations with parent–youth relationships and youth aspirations.

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