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Prediction Statistics for Psychological Assessment [Minkštas viršelis]

  • Formatas: Paperback / softback, 448 pages, aukštis x plotis: 254x178 mm, weight: 772 g
  • Išleidimo metai: 14-Dec-2021
  • Leidėjas: American Psychological Association
  • ISBN-10: 1433836416
  • ISBN-13: 9781433836411
Kitos knygos pagal šią temą:
  • Formatas: Paperback / softback, 448 pages, aukštis x plotis: 254x178 mm, weight: 772 g
  • Išleidimo metai: 14-Dec-2021
  • Leidėjas: American Psychological Association
  • ISBN-10: 1433836416
  • ISBN-13: 9781433836411
Kitos knygos pagal šią temą:
"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. "--

"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 PsychologicalAssessment, 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"--

Recenzijos

Karl Hanson, one of the preeminent experts on criminal risk prediction, has produced an informative text that should be required reading for any professional involved in mental health assessment. Dr. Hanson skillfully presents complex concepts in a simple to read and understand text that will inform the future of psychological (and other mental health) assessment. A must-have on the bookshelf of practitioners and researchers alike. - Robert D. Morgan, PhD, Dean, College of Health and Human Sciences, Southern Illinois University, Carbondale, IL, United States Karl Hanson-an international luminary in the field of psychological assessment-has written a cogent, meticulous, and comprehensive guide to the statistics used to predict human behavior. This lucidly written work will have an immense and long-lasting impact on the field. It needs to be within arm amp rsquo s reach on the bookshelf of every clinical researcher and every evidence-based clinician. - John Monahan, PhD, Shannon Distinguished Professor of Law, University of Virginia, Charlottesville, VA, United States Advances in the field of risk assessment have been facilitated by improvements in prediction statistics. Until now there has been no comprehensive guide for those in the field. As a research and practice leader, Hanson delivers a learned volume that is readily accessible. It teaches specific statistics along with the role of prediction statistics in forensic assessment. It is a must-read for forensic researchers and practitioners intending to put research into practice. - Distinguished Professor James Ogloff, AM, Director, Centre for Forensic Behavioural Science, Swinburne University of Technology, and Executive Director, Psychological Services & Research, Forensicare, Victoria, Australia

Preface ix
I BACKGROUND AND OVERVIEW
1(42)
1 Introduction to Prediction Statistics In Psychology
3(18)
2 The Nature of Probability
21(14)
3 Overview of the Statistics
Chapters
35(8)
II STATISTICS FOR DESCRIBING LIKELIHOODS
43(56)
4 Proportions
45(18)
5 Discrete-Time Survival Analysis
63(18)
6 Kaplan-Meier Survival Analysis
81(18)
III DISCRIMINATION AND RELATIVE RISK
99(122)
7 Dichotomous Predictors
103(32)
8 Area Under the Curve
135(26)
9 Cohen's d
161(16)
10 Cox Regression
177(18)
11 Logistic Regression
195(26)
IV CALIBRATION
221(86)
12 Chi-Square Goodness-of-Fit
225(18)
13 The E/O Index
243(18)
14 Meta-Analysis
261(22)
15 Calibration Plots
283(24)
V PERCENTILE RANKS
307(16)
16 Percentiles
309(14)
VI PRACTICE CONSIDERATIONS
323(50)
17 Estimating the Quality of Prediction Tools
325(28)
18 Standardizing Risk Communication
353(14)
19 Going Even Further
367(6)
Appendix: Useful Algebra and Notation 373(10)
Glossary 383(14)
References 397(22)
Index 419(12)
About the Author 431
R. Karl Hanson, PhD is an adjunct research professor at Carleton University, Ottawa, Canada and formerly a researcher with Public Safety Canada from 99 -2 7. His research concerns risk assessment and rehabilitation for individuals in the criminal justice and forensic mental health systems, with a particular focus on sexual offenders. He has a strong interest in the statistical methods used to quantify risk and to evaluate change over time. Follow rkarlhanson and visit carleton.ca/psychology.