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Survival analysis concerns sequential occurrences of events governed by probabilistic laws. Recent decades have witnessed many applications of survival analysis in various disciplines. This book introduces both classic survival models and theories along with newly developed techniques. Readers will learn how to perform analysis of survival data by following numerous empirical illustrations in SAS. Survival Analysis: Models and Applications: * Presents basic techniques before leading onto some o...

Through the use of clearly defined instructions and examples, How to Write in Psychology is a concise and comprehensive guide for the well-prepared student on the principles of writing essays and research papers for psychology. Presents everything the well-prepared student needs to know about the principles and practice of writing for psychologyCompares and contrasts the different writing requirements and techniques for essays and research reports in psychologyOffers advice on constructing figur...

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...

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.

Featuring just the right amount of information and instruction, Kirkpatrick's no-nonsense, streamlined guide provides a thorough examination of the advanced functions of Version 12.0 of the powerful SPSS software. With this guide, students can learn how to use SPSS to perform all of the advanced statistical procedures covered by a typical statistics text--from histograms and descriptive statistics through correlation, regression, t-tests, and analysis of variance. Writing for students who need t...

With an exciting new look, math diagnostic tool, and a research roadmap to navigate projects, this new edition of Andy Field’s award-winning text offers a unique combination of humor and step-by-step instruction to make learning statistics compelling and accessible to even the most anxious of students. The Fifth Edition takes students from initial theory to regression, factor analysis, and multilevel modeling, fully incorporating IBM SPSS Statistics© version 25 and fascinating examples throughou...

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.

Introduction to the Taxometric Method is a user-friendly, practical guide to taxometric research. Drawing from both classic and contemporary research, it provides a comprehensive introduction to the method. With helpful tools and guidance, the book is intended to teach those new to the method, as well as those already familiar with it, tips on how to conduct and evaluate taxometric investigations. The book covers a broad range of analytic techniques, describing their logic and implementation as...

This book provides an introduction to a rapidly-growing area in the social and behavioral sciences -- the modeling of systems in which one or more variables are hypothesized, but not directly observed. Providing a conceptually unified treatment of modeling of this type -- exploratory and confirmatory factor analysis, path analysis, and structural equation analysis -- it is intended to introduce these techniques to individuals who have had some exposure to statistical methods in general, but are...

The overall structure of the book is designed to have the reader look at the "big picture" so that the basic statistical concepts connect in a coherent and logical manner. Key terms are defined as they appear and the reader is engaged with diverse examples throughout. Throughout the book the reader is reminded what they need to be able to recall with "You Must Remember This" boxes. A rich source of practical resources are located at the end of chapters beginning with "What You learned" so th...

This practical guide on conducting power analyses using IBM SPSS was written for students and researchers with limited quantitative backgrounds. Readers will appreciate the coverage of topics that are not well described in competing books such as estimating effect sizes, power analyses for complex designs, detailed coverage of popular multiple regression and multi-factor ANOVA approaches, and power for multiple comparisons and simple effects. Practical issues such as how to increase power withou...

SPSS is now PASW Statistics! Reflecting the latest developments in statistics software from SPSS Inc., this new edition of one of the most widely read textbooks in its field keeps the reader abreast of the latest improvements in PASW Statistics 17 (the new name for SPSS Statistics 17). This friendly and informal textbook is a non-technical and readable introduction to one of the most powerful and versatile statistical packages on the market. The new edition combines clarity of presentation with...

Partial least squares structural equation modelling (PLS-SEM) is becoming a popular statistical framework in many fields and disciplines of the social sciences. The main reason for this popularity is that PLS-SEM can be used to estimate models including latent variables, observed variables, or a combination of these. The popularity of PLS-SEM is predicted to increase even more as a result of the development of new and more robust estimation approaches, such as consistent PLS-SEM. The traditional...

A guide to critical thinking in the 'post-truth' era, from the author of Sunday Times best-seller The Organized Mind We live in a world of information overload. Facts and figures on absolutely everything are at our fingertips, but are too often biased, distorted, or outright lies. From unemployment figures to voting polls, IQ tests to divorce rates, we're bombarded by seemingly plausible statistics on how people live and what they think. Daniel Levitin teaches us how to effectively ask ourselves...

The recent years have been characterized by stormy social protests throughout the world. These protests have some commonalities, but at the same time, their sociopolitical, psychological, and economic contexts differ essentially. An important class of such protests is known as color revolutions. The analysis of these events in social and political literature is characterized by huge diversity of opinions. We remark that the sociopolitical perturbations under consideration are characterized by th...

It's 1 AM, there are 20 tabs open on your computer, you lost your flashcards for the test, and you're so tired you can't even read. It'd be nice if someone came up with a more efficient way of studying. Luckily, someone did. With a single login for MindTap Psychology for Gravetter/Wallnau/Forzano's Essentials of Statistics for The Behavioral Sciences, 9th Edition you can connect with your instructor, organize coursework, and have access to a range of study tools, including e-book and apps all in...

A synthesis of literature previously scattered across several disciplines, this volume addresses fundamental issues in the analysis of interaction effects in multiple regression with examples from different fields in the social sciences. It is organized around three core questions: one, given sample data can we conclude that there is an interaction effect in a population? Two, if so what is the strength of that effect? And three, what is the nature of that effect?