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ERIC Number: ED457238
Record Type: Non-Journal
Publication Date: 2000
Pages: 23
Abstractor: N/A
Reference Count: N/A
New Perspectives to Study of Student Motivation and Self-Regulated Learning with Bayesian Network Modeling.
Ruohotie, Pekka; Nokelainen, Petri; Tirri, Henry; Silander, Tomi
This study examined the data selection process preceding multivariate analysis for a data set measuring student motivation and self-regulated learning. Data were 138 responses to a questionnaire on motivation and self-regulated learning, adapted for Finnish students. The first goal was to compare the results gained with "gentle" and "Draconian" variable selection. The second goal was to compare traditional linear analysis and Bayesian path analysis. A mechanical comparison of both solutions was carried out with a Bayesian Belief Network evaluator. The main purpose of the comparison is to show that the educational researcher should consider analyzing discrete qualitative (nominal, ordinal scale) variables with nonlinear Bayesian methods instead of linear methods that usually require quantitative (interval, ratio scale) variables. A later stage of the project will attempt to produce sensible path models in confirmation of the theory using structural equation model programs. (Contains 6 figures, 9 tables, and 84 references.) (SLD)
Publication Type: Reports - Research; Speeches/Meeting Papers
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Location: Finland