John W. Cotton

Analyzing Within-subjects Experiments (eBook, ePUB)

• Format: ePub

Produktbeschreibung

This volume focuses on computational techniques appropriate to the analysis of data from within-subjects and crossover within-subjects designs using various statistical packages. For statisticians, behavioral scientists, and researchers.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 352
• Erscheinungstermin: 13. Mai 2013
• Englisch
• ISBN-13: 9781134808014
• Artikelnr.: 39264903

Autorenporträt

John W. Cotton

Inhaltsangabe

Contents: Preface. An Orientation to Within-Subject Designs. Two-Way
Experimental Plans: Split-Plot and Randomized Block Designs. Analyzing
Data From a Randomized Block Design Experiment That May Exhibit
Time-Related Effects. Interpreting Estimability Information and Reported
Estimates of Parameters in SAS(r) GLM Programs. Analyzing Data From
Within-Subject Factorial Designs, Taking Into Account Stage-of-Practice
Effects. Pretest-Posttest Control Group Designs: Comparing Different
Treatment Groups After Pretesting. Switching Treatments in Blocks: AmAm, A
mBm, BmAm, or BmBm Patterns With m Stages. ALL M's SHOULD BE SUPERSCRIPT
EXCEPT FOR THE LAST ONE. Appendices: A Little About Matrices and Vectors.
Using the Gauss Matrix Programming Language.