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Non-Standard Log-Linear Models for Orthogonal Prediction Configural Frequency Analysis

✍ Scribed by Alexander von Eye; Michael J. Rovine


Publisher
John Wiley and Sons
Year
1994
Tongue
English
Weight
374 KB
Volume
36
Category
Article
ISSN
0323-3847

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✦ Synopsis


The paper discusses LAUTSCH, LIENERT. and VON EYE'S (1992) orthogonal prediction configural frequency analysis (PCFA). Problems with this approach result from a lack of rules for specification of orthogonal comparisons, and because it is not obvious which comparisons are orthogonal. As an alternative it is proposed estimating non-standard log-linear models. These models specify orthogonal PCFA comparisons via orthogonal effect coding variables. This approach kadvantageous in that it allows researchers to simultaneously test orthogonal comparisons and PCFA parameter estimates.