Optimal Data Analysis

Name: Optimal Data Analysis
Brand: AMERICAN PSYCHOLOGICAL ASSOCIATION
Price: 72.75 AUD
Availability: BackOrder

A Guidebook with Software for Windows

By: Paul Yarnold, Robert C. Soltysik

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Paperback | 30 December 2004

At a Glance

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216 Pages

Dimensions(cm)
23.5 x 19.05 x 0.64

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This powerful software package and accompanying book and tutorial provide users who have never heard of the Optimal Data Analysis paradigm with enough information to conduct a variety of ODA analyses quickly and with a minimum of effort. With a clear and simple interface, the software allows users to get started immediately. Optimal Data Analysis provides detailed background on the ODA paradigm and examples of how to apply it in various contexts including psychological and medical research, scientific experimentation, and business risk assessment.

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You Can Find This Book In

Non-Fiction Mathematics Probability & Statistics Psychology Computing & I.T.Business Applications Applied Mathematics Operating Systems Microsoft (Windows) Operating Systems

Preface	p. xi
Acknowledgments	p. xiii
Introduction to the ODA Paradigm	p. 3
What Is ODA?	p. 3
Why Is ODA Superior to Other Data Analysis Programs?	p. 5
Who Is the Audience for This Book and Software?	p. 6
How Should the Reader Use This Book?	p. 6
Basic Steps and Key Concepts	p. 7
Historical Perspective	p. 10
Thirty Hypothetical Applications	p. 11
Now It Is Time to Start Analyzing Data	p. 27
Using the ODA Software	p. 29
The ODA Commands	p. 29
Running the ODA Software	p. 37
Using ODA With PFE	p. 38
Creating a Data Set for Analysis by ODA	p. 45
Evaluating Classification Performance	p. 57
How to Obtain an ODA Model	p. 61
Selecting Among Multiple Optimal Models	p. 64
Assessing Model Stability	p. 68
Standardizing Transformations	p. 70
Evaluating Statistical Significance	p. 73
Analytic Methodology	p. 74
Fisher's Randomization Methodology	p. 77
Monte Carlo Methodology	p. 78
Specifying the Type I Error Rate	p. 80
A Priori Alpha Splitting	p. 83
Two-Category Class Variables	p. 87
Applications Involving Binary Attributes	p. 87
Applications Involving Polychotomous Attributes	p. 91
Applications Involving Ordinal Attributes	p. 93
Applications Involving Continuous Attributes	p. 101
Multicategory Class Variables	p. 107
Applications Involving Binary Attributes	p. 108
Applications Involving Polychotomous Attributes	p. 108
Applications Involving Ordinal Attributes	p. 112
Applications Involving Continuous Attributes	p. 115
Reliability Analysis	p. 121
Inter-Rater Reliability	p. 122
Parallel Forms Reliability	p. 128
Split-Half Reliability	p. 130
Temporal Reliability	p. 132
Nonlinear Reliability	p. 135
Intraclass Correlation	p. 138
Validity Analysis	p. 141
Hold-Out (Cross-Generalizability) Validity	p. 142
Construct Validity	p. 148
Convergent and Discriminant Validity	p. 149
Optimizing Suboptimal Multivariable Models	p. 155
Optimizing Fisher's Linear Discriminant Analysis	p. 157
Optimizing Logistic Regression Analysis	p. 160
Optimizing Complex Models	p. 165
Multiple Sample Analysis	p. 167
Pooling Samples and Simpson's Paradox	p. 168
The ODA Generalizability Algorithm	p. 170
Evaluating Model Generalizability Across Samples	p. 172
Analyzing Randomized Block Designs	p. 178
Optimizing Multiple Suboptimal Multiattribute Models	p. 181
Sequential Analyses	p. 187
Identifying Structure in Markov Transition Tables	p. 187
Analyzing Turnover Tables	p. 193
Autocorrelation (Time Series) Analysis	p. 198
Repeated Measures (Within-Subjects) Analysis	p. 203
Single-Case (N-of-1) Analysis	p. 207
Iterative Decomposition Analysis	p. 209
Stopping Rules for Iterative Analyses	p. 212
Structural Decomposition With Sequential Data	p. 214
Reliability, Bias, and Random Error	p. 223
Validity, Bias, and Random Error	p. 225
Epilogue: The Future of ODA	p. 229
General-Purpose MultiODA Models	p. 232
Special-Purpose MultiODA Models	p. 233
Nonlinear Classification Tree Analysis	p. 237
Users of ODA	p. 239
Dunn and Sidak Adjusted Per-Comparison p	p. 241
Troubleshooting: Common Problems and Their Possible Solutions	p. 249
References	p. 253
Index	p. 275
About the Authors	p. 287
Table of Contents provided by Rittenhouse. All Rights Reserved.

Optimal Data Analysis

A Guidebook with Software for Windows

At a Glance

Paperback

Shipping

How to return your order

Defective items

You Can Find This Book In

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