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Paschall, Katherine W.; Mastergeorge, Ann M. – International Journal of Behavioral Development, 2016
The concept of bidirectionality represents a process of mutual influence between parent and child, whereby each influences the other as well as the dyadic relationship. Despite the widespread acceptance of bidirectional models of influence, there is still a lack of integration of such models in current research designs. Research on…
Descriptors: Educational Research, Educational History, Parent Child Relationship, Interaction
Aparicio, Ricardo Antonio – ProQuest LLC, 2013
The rapid pace of change for knowledge workers competing globally necessitates ongoing continuous learning. Increasingly, knowledge workers will need to be ready--willing and able--to engage in self-directed learning. This makes it important to understand what factors in the work environment might be related to the self-directed learning…
Descriptors: Transformational Leadership, Independent Study, Learning Readiness, Supervisors
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Marsh, Herbert W.; Ludtke, Oliver; Nagengast, Benjamin; Trautwein, Ulrich; Morin, Alexandre J. S.; Abduljabbar, Adel S.; Koller, Olaf – Educational Psychologist, 2012
Classroom context and climate are inherently classroom-level (L2) constructs, but applied researchers sometimes--inappropriately--represent them by student-level (L1) responses in single-level models rather than more appropriate multilevel models. Here we focus on important conceptual issues (distinctions between climate and contextual variables;…
Descriptors: Foreign Countries, Classroom Environment, Educational Research, Research Design
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Schochet, Peter Z. – National Center for Education Evaluation and Regional Assistance, 2009
This paper examines the estimation of two-stage clustered RCT designs in education research using the Neyman causal inference framework that underlies experiments. The key distinction between the considered causal models is whether potential treatment and control group outcomes are considered to be fixed for the study population (the…
Descriptors: Control Groups, Causal Models, Statistical Significance, Computation
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Martens, Matthew P.; Haase, Richard F. – Counseling Psychologist, 2006
Structural equation modeling (SEM) is a data-analytic technique that allows researchers to test complex theoretical models. Most published applications of SEM involve analyses of cross-sectional recursive (i.e., unidirectional) models, but it is possible for researchers to test more complex designs that involve variables observed at multiple…
Descriptors: Structural Equation Models, Counseling Psychology, Researchers, Models
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Kingsbury, G. Gage – Educational Leadership, 2006
In the No Child Left Behind Act and the What Works Clearinghouse, the federal government has attempted to establish guidelines for the type of education research that U.S. schools should consider in selecting instructional programs and resources. The government's clear preference for the medical model--a powerful research design in such fields as…
Descriptors: Educational Research, Research Design, Medical Research, Models