A Handbook for Data Analysis in the Behavioral Sciences,9780805810936

A Handbook for Data Analysis in the Behavioral Sciences

by ;
ISBN13: 9780805810936
ISBN10: 0805810935
Format: Paperback
Pub. Date: 1992-11-01
Publisher(s): Psychology Pr
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Table of Contents

Preface ix
PART I: ANALYSIS OF VARIANCE AND MULTIPLE REGRESSION
Elements of the General Linear Model
3(40)
Maurice Tatsuoka
Introduction
3(1)
The Simplest Case of Two Groups: An Informal Treatment
4(6)
The Two-Group Case: Formal Treatment
10(4)
Matrix Formulation: Parameter Estimation
14(12)
Matrix Formulation: Significance Testing
26(5)
Higher-Order, Multivariate, and Covariance Designs
31(12)
Pairwise Comparison Procedures for One-Way Analysis of Variance Designs
43(30)
Rebecca Zwick
Type I Error and Power
43(3)
Comparing the Empirical Type I Error Rates and Powers of Competing MCPS
46(1)
The Independent-Sample Case
47(17)
One-Factor Repeated Measures Designs
64(3)
Conclusions
67(6)
Analyzing Means From Repeated Measures Data
73(22)
Charles Lewis
The Current State of Affairs
75(1)
Alternatives to Standard Repeated Measures Analysis of Variance
76(13)
A Numerical Illustration
89(6)
A Balanced Approach to Unbalanced Designs
95(34)
Gideon Keren
Introduction
95(1)
Possible Sources of Unequal Designs
96(1)
The Regression Solution for the Balanced Design
97(5)
The Case of Unequal but Proportional Cell Frequencies
102(6)
Unequal Disproportionate Cell Frequencies
108(6)
Additional Considerations: Sample vs Population, Weighting and Coding
114(6)
Final Comments and a Brief Summary
120(2)
Appendix A: Construction and Proofs of a Coding System for the Case Proportional N's Which Will Always Maintain Orthogonality
122(7)
MANOVA and MANCOVA: An Overview
129(36)
Neil M. Timm
Introduction
129(1)
Fundamentals: Full Rank Model
130(11)
Fundamentals: Less Than Full Rank Models
141(8)
Geometry: ANCOVA Model
149(5)
Fundamentals: Restricted Full Rank Model
154(3)
The Multivariate Linear Model: Estimation
157(1)
The Multivariate Linear Model: Hypothesis Testing
158(3)
MANOVA and MANCOVA: Some General Principles
161(4)
Set Correlation
165(36)
Jacob Cohen
Sets as Research Factors
165(1)
Partialling
166(1)
Canonical Analysis
167(1)
Elements of Set Correlation
168(6)
Hypothesis Testing, Estimation, and Statistical Power Testing the Null Hypothesis
174(6)
Computation
180(1)
Applications of Set Correlations
180(3)
Illustrative Examples
183(2)
A Hierarchical Analysis of a Quantitative Set and Its Unique Components
185(16)
PART II: BAYESIAN STATISTICS
Bayesian Statistics: An Overview
201(32)
Robert L. Winkler
Introduction
201(2)
Bayes' Theorem
203(13)
Assessment of Likelihood Functions and Prior Distributions
216(5)
Estimation and Hypothesis Testing
221(4)
Prediction
225(3)
Decision Making Under Uncertainty
228(1)
Conclusions
229(4)
Bayesian Methods for the Analysis of Variance
233(26)
Charles Lewis
Introduction
233(1)
Fixed Effect, Between Subject Designs
234(12)
Designs Having Repeated Measures
246(8)
Closing Remarks
254(5)
PART III: CATAGORICAL DATA AND THE ANALYSIS OF FREQUENCIES
Analysis of Categorical Data
259(36)
Stephen S. Brier
Introduction
259(1)
Generation of Contingency Tables
260(2)
Formulation and Interpretation of Log-Linear Models
262(7)
Estimation of Parameters in Log-Linear Models
269(8)
Goodness of Fit Tests
277(4)
Analyzing Incomplete Tables
281(4)
Path Analysis in Contingency Tables
285(3)
Other Applications of the Methodology of Log-Linear Models
288(3)
Further Readings References
291(4)
On the Use and Misuse of Chi-Square
295(26)
Kevin L. Delucchi
The Use of Chi-Square
296(8)
Supplementary and Alternative Procedures
304(10)
Conclusions
314(7)
Some Aspects of the Analysis of Categorical Data
321(28)
B. S. Everitt
Introduction
321(1)
The 2 X 2 Contingency Table
322(10)
Correspondence Analysis
332(2)
Logistic Regression
334(4)
Case-Control Studies
338(4)
Latent Class Models
342(3)
Conclusions
345(4)
PART IV: OTHER TOPICS
Exploratory Data Analysis
349(42)
Albert F. Smith
Deborah A. Prentice
Philosophy of Exploratory Data Analysis
353(2)
Nonparametric Procedures, Robust Statistics, and EDA
355(1)
Techniques for the Examination of a Sample Measured on One Variable
356(7)
Techniques for the Comparison of Several Samples Measures on One Variable
363(7)
The Analysis of the Relationship Between Two Ordered Variables
370(9)
Analysis of Two-Way Tables
379(9)
Conclusion
388(3)
Graphical Data Analysis
391(68)
Howard Wainer
David Thissen
Introduction
391(2)
History
393(2)
Graphics for Data Analysis
395(4)
Two-Way Displays of One-Way Data
399(25)
Two-Way Displays of Multivariate Data
424(11)
A Multivariate Example: The Worst American State Revisited
435(10)
Everything Else
445(5)
Conclusions
450(9)
Uses of Computers in Psychological Research
459(18)
Russel M. Church
Literature Search
460(2)
Experimental Design
462(1)
Experimental Control
462(3)
Data Acquisition
465(1)
Data Retention
465(1)
Data Analysis
466(2)
Development of Theory
468(2)
Comparison of Theory to Data
470(3)
Preparation of Manuscript
473(1)
Communication
473(1)
Conclusions and Speculations
474(3)
Computer Simulation: Some Remarks on Theory in Psychology
477(16)
Geoffrey R. Loftus
The Historical Approach
478(7)
Psychology and Cosmology
485(2)
Computer Simulation in the Social Sciences
487(1)
Should Computer Be Banned
488(2)
Conclusions
490(3)
Essentials in the Design and Analysis of Time-Series Experiments
493(36)
Regina H. Rushe
John M. Gottman
How to Design Time-Series Experiments
493(9)
How to Describe Time-Series Data
502(10)
How to Do a Time-Series Analysis
512(12)
Recent Innovations in Time-Series Analysis
524(1)
Resources for Time-Series Analysis
525(4)
Author Index 529(10)
Subject Index 539

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