Analyzing Sequential Categorical Data: Individual Variation in Markov Chains.

Gardner, William

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Peer reviewed

ERIC Number: EJ414316

Record Type: Journal

Publication Date: 1990

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ISSN: ISSN-0033-3123

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Analyzing Sequential Categorical Data: Individual Variation in Markov Chains.

Gardner, William

Psychometrika, v55 n2 p263-75 Jun 1990

This paper provides a method for analyzing data consisting of event sequences and covariate observations associated with Markov chains. The objective is to use the covariate data to explain differences between individuals in the transition probability matrices characterizing their sequential data. (TJH)

Descriptors: Cognitive Development, Equations (Mathematics), Estimation (Mathematics), Individual Differences, Markov Processes, Mathematical Models, Matrices, Multivariate Analysis, Probability, Psychometrics, Regression (Statistics), Vectors (Mathematics)

Publication Type: Journal Articles; Reports - Evaluative

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Audience: N/A

Language: English

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