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Application of Prediction Analysis to Cross Classifications of Ordinal Data

✍ Scribed by Prof. Dr. Alexander von Eye; Prof. Dr. Jochen Brandtstädter

Publisher
John Wiley and Sons
Year
2007
Tongue
English
Weight
890 KB
Volume
30
Category
Article
ISSN
0323-3847

No coin nor oath required. For personal study only.

✦ Synopsis

Prediction analysis ( P A ) of cross classifications is characterized a8 a method for the analysis of local prediction hypothesee, that is, hypotheses that link particular predictor states to particular states of criteria. To evaluate the succeas of a prediction, P A compares the observed with an expected frequency distribution. The latter is estimated under the assumption of independence between predictors and criteria. When predictors of criteria have ordinal categories, the SUCC~ES of a prediction hypothesis is overestimated if there is a regreasion of the cell frequencies on the ranks of the variable categories. Using the method of log-linear models, i t is shown how ordinal categories can be taken into account in P A . Numerical examples are given from the areas of cognitive development and drug research.

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