ERIC Number: ED208030
Record Type: RIE
Publication Date: 1981-Apr
Reference Count: 0
Assessing Developmental Hypotheses with Cross Classified Data: Log Linear Models.
Log linear models are proposed for the analysis of structural relations among multidimensional developmental contingency tables. Model of quasi-independence are suggested for testing specific hypothesized patterns of development. Transitions in developmental categorizations are described by Markov models applied to successive contingency tables. A discussion of the role of Pearson chi square and log likelihood significance tests in model selection is followed by two illustrative data sets. (Author)
Publication Type: Speeches/Meeting Papers; Reports - Research
Education Level: N/A
Authoring Institution: N/A
Identifiers: Developmental Contingency Tables; Log Linear Models; Markov Processes
Note: Paper presented at the Annual Meeting of the American Educational Research Association (65th, Los Angeles, CA, April 13-17, 1981).