An Introduction to the Design and Analysis of Experiments in Behavioral Research

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University Press of America, 1985 - Education - 576 pages
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This second edition is still designed for graduate students and researchers in the social, behavioral and health sciences who have modest backgrounds in mathematics and statistics. Also, priority is still given to the discussion of seminal ideas that underlie the analysis of variance. With respect to the first edition, the late Jum C. Nunnally of Vanderbilt University remarked, 'Overall, there is no better text on statistics in the behavioral sciences available, and I strongly recommend it.' A new feature is the optional availability of a microcomputer software package, MICRO-ANOVA, that will enable researchers to perform all analyses presented in the text on IBM PCs or equivalent computers. The software package is available through UPA.
 

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Contents

THE NATURE AND FUNCTION OF EXPERIMENTAL DESIGN
1
THE CONSTITUENTS OF THE EXPERIMENT
5
CONTROL OVER EXTRANEOUS VARIABLES
12
STATISTICAL EFFICIENCY
20
CONCLUDING REMARKS
24
VARIABLES AND DESIGN ARRANGEMENTS
27
A VOCABULARY FOR INDEPENDENT VARIABLES
43
AN OVERVIEW OF DESIGN ARRANGEMENTS
53
THE ANALYSIS OF VARIANCE
247
THE PROBLEM OF UNEQUAL CELL FREQUENCIES
278
MIXED AND RANDOM MODELS
291
Concluding Remarks
303
EXERCISES
304
THREEFACTOR COMPLETELY RANDOMIZED DESIGNS
307
A FIXED MODEL FOR THREEFACTOR DESIGNS
311
THE ANALYSIS OF VARIANCE
316

CONCLUDING REMARKS
62
EXERCISES
63
THE LANGUAGE AND LOGIC OF THE ANALYSIS OF VARIANCE
67
SUMMATION NOTATION AND RULES
70
THE LOGIC OF ANOVA
77
Concluding Remarks
97
EXERCISES
98
THE ANALYSIS OF ONEFACTOR DESIGNS
101
A MODEL FOR THE ONEFACTOR COMPLETELY RANDOMIZED DESIGN
102
BUILDING A DATA MATRIX FROM THE MODEL
115
THE ANALYSIS OF VARIANCE
122
MODEL ASSUMPTIONS REVISITED
142
Concluding Remarks
157
EXERCISES
158
BEYOND THE OVERALL F TEST
161
INTRODUCTION TO MULTIPLE COMPARISONS
164
PLANNED COMPARISONS
174
POST HOC COMPARISONS
196
MEASURES OF ASSOCIATION
209
THE ANALYSIS OF TRENDS
214
Concluding Remarks
231
EXERCISES
233
TWOFACTOR COMPLETELY RANDOMIZED DESIGNS
237
THE DESIGN LAYOUT
238
A FIXED MODEL FOR TWOFACTOR DESIGNS
241
MIXED AND RANDOM MODELS
339
Concluding Remarks
353
EXERCISES
355
BLOCKING REPEATED MEASUREMENTS AND COVARIANCE ANALYSIS
357
DESIGNS USING A CONCOMITANT VARIABLE
358
RANDOMIZED BLOCK DESIGNS
361
REPEATED MEASUREMENTS DESIGNS
382
COVARIANCE ANALYSIS
400
EXERCISES
421
MIXED DESIGNS
425
THE ONE BETWEEN ONE WITHINSUBJECTS DESIGNS
426
MIXED DESIGNS WITH UNEQUAL ns
442
TWO BETWEEN ONE WITHINSUBJECTS DESIGNS
454
ADDITIONAL MIXED DESIGNS
469
EXERCISES
484
HIERARCHICAL AND PARTIAL HIERARCHICAL DESIGNS
489
COMPLETE HIERARCHICAL DESIGNS
492
WITHINGROUP VARIABLES
519
REPEATED MEASUREMENTS
538
EXERCISES
559
APPENDIX
561
REFERENCES
579
INDEX
584
Copyright

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About the author (1985)

John J. Kennedy is Professor of Education at Ohio State University. Andrew J. Bush is Associate Director for Research at Baptist Memorial Hospital in Memphis, Tennessee.

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