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Aguirre-Urreta, Miguel I.; Rönkkö, Mikko; Marakas, George M. – Measurement: Interdisciplinary Research and Perspectives, 2016
One of the central assumptions of the causal-indicator literature is that all causal indicators must be included in the research model and that the exclusion of one or more relevant causal indicators would have severe negative consequences by altering the meaning of the latent variable. In this research we show that the omission of a relevant…
Descriptors: Causal Models, Measurement, Research Problems, Structural Equation Models
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Tagay, Özlem – Eurasian Journal of Educational Research, 2015
Problem Statement: A literature analysis revealed that contact disturbances, self-esteem and life satisfaction have been examined in different studies separately. In particular, the researchers observed that the studies conducted on Gestalt contact disturbances are limited in number. In this study, the variables of contact disturbances,…
Descriptors: Foreign Countries, College Students, Interpersonal Competence, Withdrawal (Psychology)
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Copriady, Jimmi – Turkish Online Journal of Educational Technology - TOJET, 2014
The aim of this study is to examine teachers' motivation as a great mediator for teachers' readiness in applying ICT in their teaching and learning. Apart from that, this study was carried out to differentiate the influence of exsogenous variables from the endogenous variables based on the academic fields (pure science and social science). This is…
Descriptors: Foreign Countries, Secondary School Teachers, Teacher Motivation, Technology Uses in Education
Fry, Donald W. – ProQuest LLC, 2010
While withdrawal from higher education may be the result of many reasons both within and beyond the control of the student or the institution, the intent of not returning to higher education indicates the acceptance of a permanent disassociation with the pursuit of the higher education endeavor. It is of paramount importance in understanding the…
Descriptors: Higher Education, College Students, Causal Models, Academic Persistence
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Shedler, Johnathan – Measurement and Evaluation in Counseling and Development, 1995
Discusses linear structural relations, Two Stage Least Squares, and path analysis as statistical procedures that sometimes permit causal inferences from correlational findings. Even though two variables cannot be interpreted causally due to a possible but unknown third variable, these methods are appropriate for handling models with correlated…
Descriptors: Causal Models, Correlation, Higher Education, Path Analysis
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Rastegar, Mina – Indian Journal of Applied Linguistics, 2006
This article aims at discussing a new statistical trend in research in applied linguistics. This rather new statistical procedure is causal modeling--path analysis. The article demonstrates that causal modeling--path analysis is the best statistical option to use when the effects of a multitude of L2 learners' variables on language achievement are…
Descriptors: Causal Models, Applied Linguistics, Academic Persistence, Path Analysis
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Kaplan, Diane S.; Liu, Ruth X.; Kaplan, Howard B. – Journal of Experimental Education, 2004
A theoretically informed model was estimated with the LISREL-VIII program using panel data from 1,384 mother-adolescent child pairs to examine processes by which mothers' adolescent school experiences measured in 1971 (Time 1) affected the adolescent school experiences of their children measured in the 1990s (Time 3) through mediating variables…
Descriptors: Intergenerational Programs, Adolescents, Causal Models, Educational Experience