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Axinn says data show incidents of sexual assault start at 'very young age'

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Impacts of H-1B visas: Lower prices and higher production - or lower wages and higher profits?

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Call for papers: Conference on computational social science, April 2017, U-M

Sioban Harlow honored with 2017 Sarah Goddard Power Award for commitment to women's health

Post-doc fellowship in computational social science for summer or fall 2017, U-Penn

ICPSR Summer Program scholarships to support training in statistics, quantitative methods, research design, and data analysis

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Mon, Feb 13, 2017, noon:
Daniel Almirall, "Getting SMART about adaptive interventions"

Beyond Work and Family: A Measure of Work/Nonwork Interference and Enhancement

Archived Abstract of Former PSC Researcher

Fisher, Gwenith, Carrie A. Bulger, and Carlla S. Smith. 2009. "Beyond Work and Family: A Measure of Work/Nonwork Interference and Enhancement." Journal of Occupational Health Psychology, 14(4): 441-456.

Though early research on the work/nonwork interface was broader in scope, most recent research has focused on the interface between work and family. There is a need for an inclusive, validated measure of work/nonwork interference and enhancement that is appropriate for all workers regardless of their marital or family life status. The authors report here on 3 studies in which they develop a theoretically grounded and empirically validated multidimensional, bidirectional measure of work/nonwork interference and enhancement. All scale items refer to work/nonwork, whereas previous measures have mixed work/family and work/nonwork items or emphasize family roles in the nonwork domain. Quantitative analysis of the scale items yielded 17 items to measure work interference with personal life, personal life interference with work, work enhancement of personal life, and personal life enhancement of work. Confirmatory factor analyses and structural equation modeling results provide evidence for convergent, discriminant, and criterion-related validity for the scale from 2 large samples of workers (N = 540, N = 384) across multiple job types and organizations.

DOI:10.1037/a0016737 (Full Text)

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