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Prediction Statistics for Psychological Assessment

Nowość Nowość

Autorzy:

Eurospan Wydawnictwo

2021, wyd.1

  • Oprawa: miękka foliowana, 440 str.,
  • Wymiary: 178.00 x 254.00 mm,
  • Waga: 0 kg.
  • ISBN: 9781433836411
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425,25 zł
382,72 zł
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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.
    • 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
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