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Measurement invariance related to gender of the institutional integration scale
Affiliation:1. Liberty Mutual Research Institute for Safety, Hopkinton, MA;2. University of Massachusetts Medical School, Worcester, MA;3. Department of Sports Science and Clinical Biomechanics, University of Southern Denmark, Odense M, Denmark;4. Nordic Institute of Chiropractic and Clinical Biomechanics, Odense M, Denmark;5. Department of Behavioral, Social, and Legal Sciences, Örebro University, Örebro, Sweden;6. Harvard School of Public Health, Boston, MA;7. Uni Research Health, Bergen, Norway;1. Facultad de Ciencias, Universidad de Vigo, 36310-Vigo, Spain;2. Departamento de Informática, Edificio Fundición, Universidad de Vigo, 36310-Vigo, Spain;3. Escuela Superior de Ingeniería Informática, Edificio Politécnico s/n, Campus As Lagoas, Universidad de Vigo, 32004-Orense, Spain;1. Department of Psychology, University of California – Los Angeles, CA, United States;2. Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California – Los Angeles, CA, United States;3. Cousins Center for Psychoneuroimmunology, David Geffen School of Medicine, University of California – Los Angeles, CA, United States;4. Semel Institute for Neuroscience, David Geffen School of Medicine, University of California – Los Angeles, CA, United States;1. School of Education, Colorado State University, United States;2. Social Work Research Center, School of Social Work, Colorado State University, United States
Abstract:The Institutional Integration Scale (IIS) is claimed to measure five facets of college student academic and social integration. A revised two-factor model measuring the same facets but including social and academic integration in faculty and student factors was examined for invariance. Specifically, the invariance of the latent structure of the IIS across gender was investigated through multiple sample confirmatory factor analysis (MCFA). Two independent samples (n1 = 1077, n2 = 1547) of undergraduate students from a large Midwestern United States university made cross-validation of results possible. MCFA results revealed that the factor structure was essentially invariant and results replicated across the second sample. Latent means were not examined due to a lack of invariant intercepts.
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