Development of the Work–Family Interface Scale

Based on a series of qualitative and quantitative studies, a 20-item measure of work–family interface was developed and tested with a group of 188 childcare providers. The instrument, the Work–Family Interface Scale (W-FIS), had an overall alpha of .90 and a mean inter-item correlation (MIC) of .31....

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Bibliographic Details
Published in:Early childhood research quarterly 2003-01, Vol.18 (3), p.310-330
Main Authors: Curbow, Barbara, McDonnell, Karen, Spratt, Kai, Griffin, Joan, Agnew, Jacqueline
Format: Article
Language:English
Subjects:
Child Caregivers
Childcare providers
Confirmatory Factor Analysis
Depression (Psychology)
Depression symptoms
Employed Parents
Factor Analysis
Family Work Relationship
Measurement Techniques
Measures (Individuals)
Psychometrics
Role Conflict
Test Construction
Test Reliability
Test Validity
Work–family interface
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Summary:Based on a series of qualitative and quantitative studies, a 20-item measure of work–family interface was developed and tested with a group of 188 childcare providers. The instrument, the Work–Family Interface Scale (W-FIS), had an overall alpha of .90 and a mean inter-item correlation (MIC) of .31. Confirmatory factor analysis (CFA) was used to test a five-factor structure with supportive evidence emerging. The factors were named General Overload (4 items), Conflict of Family to Work (4 items), Spillover of Family to Work (4 items), Spillover of Work to Family (3 items), and Conflict of Work to Family (5 items). Alpha coefficients were (in order) .85, .73, .83, .74, and .86; MICs were .59, .43, .55, .48, and .56. Multivariate analyses indicated that when entered into a regression analysis with job demands, job control, and job resources, only the W-FIS and job resources were related to depression symptoms ( R 2=.23). Work–family interface was found to mediate the association between job demands and depression symptoms; and the interaction term between job resources and work–family interface was significant when added to the regression analysis ( p
ISSN:0885-2006
1873-7706
DOI:10.1016/S0885-2006(03)00042-5