Markov Count: A Program for Computing the Learning Statistics of Two- Stage Markov Learning Experiments.

Kingma, Johannes; Reuvekamp, Johan

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Peer reviewed

ERIC Number: EJ355055

Record Type: Journal

Publication Date: 1987

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Markov Count: A Program for Computing the Learning Statistics of Two- Stage Markov Learning Experiments.

Kingma, Johannes; Reuvekamp, Johan

Educational and Psychological Measurement, v47 n1 p89-98 Spr 1987

This paper describes a PASCAL program that computes both different types of transitions and learning statistics suitable for learning experiments in which a two-stage Markov model is used. The frequency counts of the different transitions are used for estimating the parameters of the two-stage Markov model. (Author/LMO)

Descriptors: Computer Software Reviews, Error of Measurement, Goodness of Fit, Input Output, Learning Processes, Mathematical Models

Publication Type: Journal Articles; Reports - Descriptive

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Language: English

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