Search results

"Human Performance and Ergonomics" brings together a comprehensive and modern account of how the context of performance is crucial to understanding behavior. Environment provides both constraints and opportunities to individuals, such that external conditions may have reciprocal or interactive effects on behavior. The book begins with an account of research in human factors and engineering, with application of research to real world environments, methodological concerns, and rumination on curren...

This book has been replaced by Bayesian Statistics for the Social Sciences, Second Edition, ISBN 978-1-4625-5354-9.

A comprehensive and user-friendly introduction to statistics-now revised and updated Introductory Statistics for the Behavioral Sciences has had a long and successful history and is a popular and well-respected statistics text. Now in its sixth edition, the text has been thoroughly revised to present all the topics students in the behavioral sciences need in a uniquely accessible format that aids in the comprehension and implementation of the statistical analyses most commonly used in the behavi...

This book demonstrates how to conduct latent variable modeling (LVM) in R by highlighting the features of each model, their specialized uses, examples, sample code and output, and an interpretation of the results. Each chapter features a detailed example including the analysis of the data using R, the relevant theory, the assumptions underlying the model, and other statistical details to help readers better understand the models and interpret the results. Every R command necessary for conducting...

This is the first book to demonstrate the application of power analysis to the newer more advanced statistical techniques that are increasingly used in the social and behavioral sciences. Both basic and advanced designs are covered. Readers are shown how to apply power analysis to techniques such as hierarchical linear modeling, meta-analysis, and structural equation modeling. Each chapter opens with a review of the statistical procedure and then proceeds to derive the power functions. This is f...

This fully updated new edition not only provides an introduction to a range of advanced statistical techniques that are used in psychology, but has been expanded to include new chapters describing methods and examples of particular interest to medical researchers. It takes a very practical approach, aimed at enabling readers to begin using the methods to tackle their own problems. This book provides a non-mathematical introduction to multivariate methods, with an emphasis on helping the reader...

Collaboration between statisticians and behavioural scientists can benefit both the design and analysis of a practical research post. In this case-orientated approach the authors demonstrate how such a collaboration works, using an example drawn from child psychiatry. This is followed through to show the statistical techniques available to tackle a range of research questions and data. This book is designed to be of interest to postgraduate students of psychological statistics.

This short but thorough guide approaches statistics with a sense of fun and intellectual excitement. Writing in a relaxed and conversational manner, Garner encourages even the most math-aversive readers to think about statistical material in words and to understand formulas in terms of concepts. This discursive approach to math and an insistence on linking concepts, formulas, and empirical examples in a holistic manner allows readers to choose their own routes to learning math-related ideas. As...

This introductory statistics text is designed for courses in psychological and educational statistics and is written in an explanatory style. Features new to this edition include "In the Literature" sections to help students learn how to report statistics and results as well as learn how to read and interpret scientific journals. The Minitab chapter has been removed and is now a separate supplement available to those who wish to cover it.

Survey Data Analysis in Applied Settings provides readers with an accessible hands-on approach to modern day applied survey data analysis. It offers detailed insights and step-by-step methods and techniques to collect, prepare, analyze and interpret survey data. The book covers the presentation of data, an overview of survey design, nonresponse and missing data analysis, and an awareness of the hidden biases that often underlie poorly analyzed survey data. A companion website features computer c...

Event History Analysis With Stata provides an introduction to event history modeling techniques using Stata (version 9), a widely used statistical program that provides tools for data analysis. The book emphasizes the usefulness of event history models for causal analysis in the social sciences and the application of continuous-time models. T

Statistics play a major role in psychological research. This text aims to fill the gap between a very general introductory book and a highly technical research-level book. It contains examples and data sets relevant to actual problems in behavioural science, with an emphasis on graphical presentation, and a focus on computer methods rather than basic arithmetic. It is designed for advanced students and more experienced researchers who want a quick reference or refresher on statistics.

Walking readers step by step through complex concepts, this book translates missing data techniques into something that applied researchers and graduate students can understand and utilize in their own research. Enders explains the rationale and procedural details for maximum likelihood estimation, Bayesian estimation, multiple imputation, and models for handling missing not at random (MNAR) data. Easy-to-follow examples and small simulated data sets illustrate the techniques and clarify the und...

This volume presents the first wide-ranging critical review of validity generalization (VG)--a method that has dominated the field since the publication of Schmidt and Hunter's (1977) paper "Development of a General Solution to the Problem of Validity Generalization." This paper and the work that followed had a profound impact on the science and practice of applied psychology. The research suggests that fundamental relationships among tests and criteria, and the constructs they represent are sim...