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ERIC Number: ED208030
Record Type: Non-Journal
Publication Date: 1981-Apr
Pages: 21
Abstractor: N/A
Reference Count: N/A
ISBN: N/A
ISSN: N/A
Assessing Developmental Hypotheses with Cross Classified Data: Log Linear Models.
Lehrer, Richard
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
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A