| Description |
1 online resource (xi, 431 pages) : illustrations |
| Contents |
Part I. Background and overview. Introduction to prediction statistics in psychology -- The nature of probability -- Overview of the statistics chapters -- Part II. Statistics for describing likelihoods. Proportions -- Discrete-time survival analysis -- Kaplan-Meier survival analysis -- Part III. Discrimination and relative risk. Dichotomous predictors -- Area under the curve -- Cohen's d -- Cox regression -- Logistic regression -- Part IV. Calibration. Chi-square goodness-of-fit -- The E/O index -- Meta-analysis -- Calibration plots -- Part V. Percentile ranks. Percentiles -- Part VI. Practice considerations. Estimating the quality of prediction tools -- Standardizing risk communication -- Going even further |
| Summary |
"As statistical prediction becomes ubiquitous in many areas of psychology, a comprehensive guide to navigating these tools is needed, one that covers topics pertinent to those in psychology and the social sciences. 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 |
|
"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 |
| Bibliography |
Includes bibliographical references and index |
| Notes |
Description based on online resource; title from digital title page (viewed on January 27, 2022) |
| Subject |
Psychological tests -- Statistical methods
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Risk assessment.
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Psychological Tests -- statistics & numerical data
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Risk Assessment
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risk assessment.
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PSYCHOLOGY / Statistics.
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PSYCHOLOGY / Assessment, Testing & Measurement.
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Psychological tests -- Statistical methods
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Risk assessment
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| Form |
Electronic book
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| Author |
American Psychological Association.
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| LC no. |
2021021483 |
| ISBN |
1433838451 |
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9781433838453 |
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