Prediction Statistics for Psychological Assessment
Prediction Statistics for Psychological Assessment

Author: R. Karl Hanson

Publisher: American Psychological Association (APA)

Published: 2021-11-16

Total Pages: 440

ISBN-13: 9781433836411

DOWNLOAD EBOOK

"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"--

Interpreting and Using Statistics in Psychological Research
Interpreting and Using Statistics in Psychological Research

Author: Andrew N. Christopher

Publisher: SAGE Publications

Published: 2016-08-30

Total Pages: 585

ISBN-13: 150630415X

DOWNLOAD EBOOK

This practical, conceptual introduction to statistical analysis by award-winning teacher Andrew N. Christopher uses published research with inherently interesting social sciences content to help students make clear connections between statistics and real life. Using a friendly, easy-to-understand presentation, Christopher walks students through the hand calculations of key statistical tools and provides step-by-step instructions on how to run the appropriate analyses for each type of statistic in SPSS and how to interpret the output. With the premise that a conceptual grasp of statistical techniques is critical for students to truly understand why they are doing what they are doing, the author avoids overly formulaic jargon and instead focuses on when and how to use statistical techniques appropriately.

Do Apes Read Minds?
Do Apes Read Minds?

Author: Kristin Andrews

Publisher: MIT Press

Published: 2012-07-20

Total Pages: 307

ISBN-13: 0262017555

DOWNLOAD EBOOK

Andrews argues for a pluralistic folk psychology that employs different kinds of practices and different kinds of cognitive tools (including personality trait attribution, stereotype activation, inductive reasoning about past behavior, and generalization from self) that are involved in our folk psychological practices.

Feelings and Emotions
Feelings and Emotions

Author: Antony S. R. Manstead

Publisher: Cambridge University Press

Published: 2004-04-05

Total Pages: 506

ISBN-13: 9780521521017

DOWNLOAD EBOOK

Publisher Description

Methods in Psychological Research
Methods in Psychological Research

Author: Bryan J. Rooney

Publisher: SAGE Publications

Published: 2018-08-01

Total Pages: 391

ISBN-13: 1506384919

DOWNLOAD EBOOK

Methods in Psychological Research introduces students to the rich world of research in psychology through student-friendly writing, compelling real-world examples, and frequent opportunities for practice. Using a relaxed yet supportive tone that eases student anxiety, the authors present a mixture of conceptual and practical discussions, and spark reader interest in research by covering meaningful topics that resonate with today’s students. In-text features like Conceptual Exercises, FYI sections, and FAQ sections with accompanying visual cues support learning throughout the research experience. The Fourth Edition equips students with the tools they need to understand research concepts, conduct their own experiments, and present their findings.

Introductory Time Series with R
Introductory Time Series with R

Author: Paul S.P. Cowpertwait

Publisher: Springer Science & Business Media

Published: 2009-05-28

Total Pages: 262

ISBN-13: 0387886982

DOWNLOAD EBOOK

This book gives you a step-by-step introduction to analysing time series using the open source software R. Each time series model is motivated with practical applications, and is defined in mathematical notation. Once the model has been introduced it is used to generate synthetic data, using R code, and these generated data are then used to estimate its parameters. This sequence enhances understanding of both the time series model and the R function used to fit the model to data. Finally, the model is used to analyse observed data taken from a practical application. By using R, the whole procedure can be reproduced by the reader. All the data sets used in the book are available on the website http://staff.elena.aut.ac.nz/Paul-Cowpertwait/ts/. The book is written for undergraduate students of mathematics, economics, business and finance, geography, engineering and related disciplines, and postgraduate students who may need to analyse time series as part of their taught programme or their research.

Using Machine Learning to Detect Emotions and Predict Human Psychology
Using Machine Learning to Detect Emotions and Predict Human Psychology

Author: Rai, Mritunjay

Publisher: IGI Global

Published: 2024-02-26

Total Pages: 332

ISBN-13:

DOWNLOAD EBOOK

In the realm of analyzing human emotions through Artificial Intelligence (AI), a myriad of challenges persist. From the intricate nuances of emotional subtleties to the broader concerns of ethical considerations, privacy implications, and the ongoing battle against bias, AI faces a complex landscape when venturing into the understanding of human emotions. These challenges underscore the intricate balance required to navigate the human psyche with accuracy. The book, Using Machine Learning to Detect Emotions and Predict Human Psychology, serves as a guide for innovative solutions in the field of emotion detection through AI. It explores facial expression analysis, where AI decodes real-time emotions through subtle cues such as eyebrow movements and micro-expressions. In speech and voice analysis, the book unveils how AI processes vocal nuances to discern emotions, considering elements like tone, pitch, and language intricacies. Additionally, the power of text analysis is of great importance, revealing how AI extracts emotional tones from diverse textual communications. By weaving these systems together, the book offers a holistic solution to the challenges faced by AI in understanding the complex landscape of human emotions.

Applying Decision Research to Improve Clinical Outcomes, Psychological Assessment, and Clinical Prediction
Applying Decision Research to Improve Clinical Outcomes, Psychological Assessment, and Clinical Prediction

Author: David Faust

Publisher: Oxford University Press

Published: 2024-03-26

Total Pages: 393

ISBN-13: 0197694233

DOWNLOAD EBOOK

Mental health professionals often must make judgments or decisions involving vital matters. Is an individual likely to act violently? Has a child been sexually abused? Is a police officer fit to carry a gun? An explosion of research in clinical and cognitive psychology provides practical means for enhancing the accuracy of clinical decision making and prediction and thereby improving outcomes and the quality of care. Unfortunately, this research has not been broadly disseminated in the mental health field. The book is designed to familiarize readers with essential findings from decision science and its practical, immediate applications in the mental health field.

Methods of Theoretical Psychology
Methods of Theoretical Psychology

Author: Andre Kukla

Publisher: MIT Press

Published: 2001-05-11

Total Pages: 274

ISBN-13: 9780262263337

DOWNLOAD EBOOK

The aim of this book is not to impart a substantive knowledge of core psychological theories, or even to analyze critically selected theories. Instead, it is to prepare the reader to analyze and advance the theoretical literature in any tradition. Theoretical psychology stands in the same relation to psychology as theoretical physics does to physics. The traditional way to study theoretical psychology is to take up one approach after another—behavioral, psychoanalytic, cognitive, and so on. The aim of this book is not to impart a substantive knowledge of core psychological theories, or even to analyze critically selected theories. Instead, it is to prepare the reader to analyze and advance the theoretical literature in any tradition. A good theoretician should be able to contribute to the study of psychoanalytic theory as readily as to behavioral theory. The skills required are the same. Instead of covering a sequence of theories, therefore, the book is organized around types of theoretical activities. It is not a work in theoretical psychology; it is a book about theoretical psychology. It also confronts psychologists' underestimation of the variety and the significance of theoretical work. Many theoretical issues do not call for empirical research—they require nothing but thinking.

Discovering Statistics Using R
Discovering Statistics Using R

Author: Andy Field

Publisher: SAGE

Published: 2012-03-07

Total Pages: 994

ISBN-13: 144628915X

DOWNLOAD EBOOK

Keeping the uniquely humorous and self-deprecating style that has made students across the world fall in love with Andy Field′s books, Discovering Statistics Using R takes students on a journey of statistical discovery using R, a free, flexible and dynamically changing software tool for data analysis that is becoming increasingly popular across the social and behavioural sciences throughout the world. The journey begins by explaining basic statistical and research concepts before a guided tour of the R software environment. Next you discover the importance of exploring and graphing data, before moving onto statistical tests that are the foundations of the rest of the book (for example correlation and regression). You will then stride confidently into intermediate level analyses such as ANOVA, before ending your journey with advanced techniques such as MANOVA and multilevel models. Although there is enough theory to help you gain the necessary conceptual understanding of what you′re doing, the emphasis is on applying what you learn to playful and real-world examples that should make the experience more fun than you might expect. Like its sister textbooks, Discovering Statistics Using R is written in an irreverent style and follows the same ground-breaking structure and pedagogical approach. The core material is augmented by a cast of characters to help the reader on their way, together with hundreds of examples, self-assessment tests to consolidate knowledge, and additional website material for those wanting to learn more. Given this book′s accessibility, fun spirit, and use of bizarre real-world research it should be essential for anyone wanting to learn about statistics using the freely-available R software.