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Voelkle, Manuel C.; Oud, Johan H. L.; Davidov, Eldad; Schmidt, Peter – Psychological Methods, 2012
Panel studies, in which the same subjects are repeatedly observed at multiple time points, are among the most popular longitudinal designs in psychology. Meanwhile, there exists a wide range of different methods to analyze such data, with autoregressive and cross-lagged models being 2 of the most well known representatives. Unfortunately, in these…
Descriptors: Authoritarianism, Intervals, Structural Equation Models, Correlation
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Weigl, Matthias; Hornung, Severin; Parker, Sharon K.; Petru, Raluca; Glaser, Jurgen; Angerer, Peter – Journal of Vocational Behavior, 2010
Drawing on Conservation of Resources Theory and previous research on work engagement, the present study investigates gain spirals between employees' engagement and their task, social, and personal resources. It focuses on the key resources of job control, positive work relationships, and active coping behavior. In a three-wave design, work…
Descriptors: Intervals, Structural Equation Models, Physicians, Coping
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Berger, Jean-Louis; Karabenick, Stuart A. – Learning and Instruction, 2011
Considerable evidence indicates that student motivation and use of learning strategies are related. There is insufficient understanding, however, about their reciprocal effects--whether motivation affects strategy use, the converse, or whether the effects are bidirectional--and which components of motivation and strategies are involved. A two-wave…
Descriptors: Self Efficacy, Learning Strategies, Student Motivation, Grade 9
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Krishnakumar, Jaya; Nagar, A. L. – Social Indicators Research, 2008
Recent empirical literature has seen many multidimensional indices emerge as well-being or poverty measures, in particular indices derived from principal components and various latent variable models. Though such indices are being increasingly and widely employed, few studies motivate their use or report the standard errors or confidence intervals…
Descriptors: Intervals, Structural Equation Models, Factor Analysis, Computation
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Cheung, Mike W. L. – Structural Equation Modeling: A Multidisciplinary Journal, 2007
Mediators are variables that explain the association between an independent variable and a dependent variable. Structural equation modeling (SEM) is widely used to test models with mediating effects. This article illustrates how to construct confidence intervals (CIs) of the mediating effects for a variety of models in SEM. Specifically, mediating…
Descriptors: Structural Equation Models, Probability, Intervals, Sample Size
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Brody, Gene H.; Chen, Yi-Fu; Kogan, Steven M.; Murry, Velma McBride; Logan, Patricia; Luo, Zupei – Journal of Marriage and Family, 2008
This longitudinal study was designed to test hypotheses, derived from a stress proliferation framework, regarding the association between perceived racial discrimination and changes in parenting among African American mothers in the rural South. A sample of 139 mothers and their children were interviewed 3 times at 1-year intervals. Mothers…
Descriptors: Intervals, Mothers, Structural Equation Models, Racial Discrimination
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Schilling, Oliver – Social Indicators Research, 2006
Empirical evidence of no age-related decline in life satisfaction (LS) in old age contrasts with frequently observed declines in the objective quality of elder people's lives and has therefore been labelled a "paradox" and interpreted in terms of stability of LS in the respective gerontological discussion. However, as this evidence was…
Descriptors: Life Satisfaction, Older Adults, Logical Thinking, Gerontology