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Zemel, Alan; Xhafa, Fatos; Cakir, Murat – Learning and Instruction, 2007
Coding interactional data for statistical analysis presents theoretical, methodological and practical challenges. Coding schemes rely on categories that are decided by their relevance to the analytical problem under investigation. We suggest that (1) endogenous and publicly displayed concerns of participants provide for the observable organisation…
Descriptors: Statistical Analysis, Interaction, Problem Solving, Research Methodology
Cress, Ulrike – International Journal of Computer-Supported Collaborative Learning, 2008
Per definition, CSCL research deals with the data of individuals nested in groups, and the influence of a specific learning setting on the collaborative process of learning. Most well-established statistical methods are not able to analyze such nested data adequately. This article describes the problems which arise when standard methods are…
Descriptors: Predictor Variables, Statistical Analysis, Research Needs, Educational Research
Levin, Joel R. – 1972
This report presents the problem and a solution to the treatment of students by age interactions. It considers the plight of an educational researcher who wishes to demonstrate that a particular treatment effect changes from age to age. In analysis of variance language, he is seeking a treatment by age interaction. The report presents a rationale…
Descriptors: Age, Age Differences, Analysis of Variance, Educational Research
Openshaw, D. Kim; Thomas, Darwin L. – 1981
Two questions were examined in this study: (1) Do symbolic interaction and social learning processes independently contribute to adolescents' self-esteem? and (2) If they do, what is the relative magnitude of their contribution? Data for the investigation were gathered through self-report questionnaires. Fourteen to 18-year-old adolescents, and…
Descriptors: Adolescents, Interaction, Parent Child Relationship, Parent Influence
Miller, Michael K.; Farmer, Frank L. – 1986
Theories employed to explain regularities in social behavior often contain explicit or implicit reference to the presence of nonlinear and/or nonadditive (i.e., multiplicative) relationships among germane variables. While such nonadditive features are theoretically important, the inclusion of quadratic or multiplicative terms in structural…
Descriptors: Data Analysis, Hypothesis Testing, Interaction, Models
Peer reviewedPascarella, Ernest T. – Review of Higher Education, 1982
Because of limitations on research controls, research designs in postsecondary education are often complex and can involve many independent and potentially confounding variables. What is needed to adequately address such research questions is a flexible and powerful data-analytic approach, and the general linear regression model is recommended.…
Descriptors: Evaluation Criteria, Higher Education, Interaction, Postsecondary Education as a Field of Study
Loose, Kenneth D.; Koran, John J., Jr. – 1975
The technique originating from the study of ecological systems for the examination of dynamic educational systems over time is utilized. The technique is based on the theory of energy exchanges in interactions between variables. Using this technique, interactions among variables can be specified and simulated over time using an analog computer.…
Descriptors: Analog Computers, Ecological Factors, Ecology, Educational Experiments
Peer reviewedChaudron, Craig – TESOL Quarterly, 1986
Considers both qualitative and quantitative research approaches on second language learning, with focus on second language classroom research. Concludes that both approaches are relevant to determining the important variables to investigate and the relationships those variables have to second language learning outcomes. (Author/CB)
Descriptors: Classroom Observation Techniques, Classroom Research, Correlation, Interaction

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