Prediction statistics for psychological assessment / R. Karl Hanson.

Format:

Book

Author/Creator:

Hanson, R. Karl (Robert Karl), 1957- author.

Contributor:

American Psychological Association.

Language:

English

Subjects (All):

Psychological tests--Statistical methods.

Psychological tests.

Risk assessment.

Physical Description:

1 online resource (443 pages) : illustrations.

Place of Publication:

Washington, D. C. : American Psychological Association, [2022]

Summary:

"At last, a comprehensive guide that meets psychologists and other social scientists' growing need to master the tools of statistical prediction.Prediction Statistics for Psychological Assessment, by R. Karl Hanson, is the first book to teach students and practitioners the nuts and bolts of prediction statistics, while illustrating the utility of prediction and prediction tools in applied psychological practice. This valuable resource uses real-world examples, helpful explanations and practice exercises to support the use of prediction tools in psychological assessment. Actuarial risk assessment evaluators need to know how prediction tools work, how to evaluate them, and how to interpret their results in applied assessments. Written in a clear and accessible manner, this user-friendly book helps readers understand how to evaluate and interpret different kinds of prediction tools, appreciate the numeric information used in risk communication, and utilize prediction tools to inform evidence-based decision-making. "-- Provided by publisher.

Contents:

Preface

Part I: Background and Overview

Chapter 1: Introduction

Chapter 2: The Nature of Probability

Chapter 3: Overview of the Statistics Chapters

Part II: Statistics for Describing Likelihoods

Chapter 4: Proportions

Chapter 5: Discrete Time Survival Analysis

Chapter 6: Kaplan-Meier Survival Analysis

Part III: Discrimination and Relative Risk

Chapter 7: Dichotomous Predictors

Chapter 8: Area Under the Curve

Chapter 9: Cohen's d

Chapter 10: Cox Regression

Chapter 11: Logistic Regression

Part IV: Calibration

Chapter 12: Chi-Square Goodness-of-Fit

Chapter 13: The E/O Index

Chapter 14: Meta-Analysis

Chapter 15: Calibration Plots

Part V: Percentile Ranks

Chapter 16: Percentiles

Part VI: Practice Considerations

Chapter 17: Estimating the Quality of Prediction Tools

Chapter 18: Standardizing Risk Communication

Chapter 19: Going Even Further

References

Appendix A: Glossary

Appendix B: Useful Algebra and Notation

Notes:

Includes bibliographical references and index.

Description based on publisher supplied metadata and other sources.

Other Format:

Print version: Hanson, R. Karl Prediction Statistics for Psychological Assessment

ISBN:

1-4338-3845-1