Using the Department of Labor’s “My Next Move” to Improve Career Preparedness

2016 ◽  
Vol 41 (1) ◽  
pp. 94-117 ◽  
Author(s):  
Daniel J. Koys

The Department of Labor’s Occupational Information Network can help students prepare for their careers because it contains information on over 900 occupations. Occupational Information Network includes a tool called My Next Move that is designed to help people learn about those occupations. This research uses a pretest/posttest design with a treatment group and a control group to determine if an exercise based on My Next Move improves career preparedness. Results show that the exercise produces significant increases in career awareness and in perceived career preparedness skills. The positive results indicate that this tool can help students be more knowledgeable about their career options after graduation. This article can help instructors use the My Next Move exercise to help students in their job search process.

2020 ◽  
Vol 47 (4) ◽  
pp. 466-503
Author(s):  
Tali Kristal

This article offers a new account of rising inequality by providing a new explanation for the observed correlation between computerization and earnings. The argument is that as computers transformed work into a more knowledge-intensive activity, occupations located at critical junctions of information flow have gained greater structural power, and thereby higher wages. Combining occupational measures for location in the information flow based on the Occupational Information Network with the 1979–2016 Current Population Surveys, the analyses reveal a rising wage premium for occupations with greater access to and control of information, independent of the spectrum of skills related to computerization.


Author(s):  
Herman J Bierens ◽  
Jose R Carvalho

Abstract The objective of this paper is to re-evaluate the effect of the 1985 “Employment Services for Ex-Offenders” (ESEO) program on recidivism in San Diego, Chicago and Boston. The initial group of program participants was split randomly in a control group and a treatment group. The actual treatment (mainly being job related counseling) only takes place conditional on finding a job and not having been arrested for those selected in the treatment group. We use interval-censored proportional hazard models for job search and recidivism time, where the latter model incorporates the conditional treatment effect, depending on covariates. We find that the effect of the program depends on location and age. The ESEO program reduces the risk of recidivism only for ex-inmates over the age of 27 in San Diego and Chicago and over the age of 36 in Boston, but increases the risk of recidivism for the other ex-inmates in the treatment group.


1999 ◽  
Vol 30 (3) ◽  
pp. 42-46 ◽  
Author(s):  
Joseph E. Havranek ◽  
Martin G. Brodwin ◽  
Larry G. Kontosh

Functional Job Analysis will continue to be the preferred method for accurate, reliable, and legally defensible determination of job duties. With the implementation of the Occupational Information Network (O*NET), job-related functions to be evaluated will expand and the potential applications and problems, both practical and research, will increase. The O*NET system is described, as are potential uses and shortcomings of O*NET, as well as the importance of O*NET to job analysis and vocational evaluation.


2018 ◽  
Vol 27 (2) ◽  
pp. 145-173
Author(s):  
David I. Rosenbaum ◽  
Mathew J. Cushing ◽  
Daniel Baquet

Abstract Do workers in more physically demanding jobs have different worklives than those in more sedentary occupations? To answer this question, we link individual data from the Current Population Survey with occupation characteristics from the Occupational Information Network to categorize individuals into three mutually exclusive initial labor market states: inactive, or active in either a more or less physically demanding occupation. A three-state Markov model estimates worklives given transitions across states over time. There is not a significant difference in worklives between the two occupation groups, even when controlling for sex, age and education. Men and women initially in more physically demanding occupations can be expected to work just as long as their counterparts initially in less physically demanding occupations.


2020 ◽  
pp. 299-322
Author(s):  
Denise E. Craven ◽  
David Rivkin

Current, reliable occupational information is critical to the identification and design of pathways to and through careers. Data on more than 200 worker- and job-oriented descriptors in the Occupational Information Network (O*NET) database provide the foundation for career pathway construction by a variety of users. This chapter describes ways in which the O*NET database, products, and tools may be used on their own to identify and refine career pathways, as well as ways that workforce agencies, education systems, and federally sponsored programs have integrated the O*NET Content Model, database, and taxonomy in their career pathway systems, tools, and programs. The chapter concludes by describing planned efforts to enhance the value of the O*NET program for career pathway development.


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