Understanding and Using Statistics in Psychology

A Practical Introduction

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Author: Jeremy Miles,Philip Banyard

Publisher: SAGE

ISBN: 1848604599

Category: Psychology

Page: 368

View: 1793

`There are few people who can write about research methods in a lively and engaging way, but Miles and Banyard are amongst them. As well as being an exceptionally clear introduction to research methods, it is full of amusing asides and anecdotes that make you want to read more. A hugely enjoyable book' - Dr Andy Field, University of Sussex Understanding and Using Statistics in Psychology takes the fear out of psychological statistics to help students understand why statistics are carried out, how to choose the best test and how to carry out the tests and understand them. Taking a non-technical approach, it encourages the reader to understand why a particular test is being used and what the results mean in the context of a psychological study, focusing on meaning and understanding rather than mindless numerical calculation. Key features include: - A light and accessible style - Descriptions of the most commonly used statistical tests and the principles that underlie them - Real world examples to aid the understanding of why statistics are valuable - Boxes on common errors, tips and quotes - Test yourself questions The perfect introductory resource, Understanding and Using Statistics in Psychology will guide any student new to statistics effortlessly through the process of test selection and analysis. (Read Jeremy Miles's blog and access other useful information on statistics now at www.jeremymiles.co.uk)

Discovering Statistics Using R

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Author: Andy Field,Jeremy Miles,Zoë Field

Publisher: SAGE

ISBN: 144628915X

Category: Reference

Page: 992

View: 4243

Lecturers - request an e-inspection copy of this text or contact your local SAGE representative to discuss your course needs. Watch Andy Field's introductory video to Discovering Statistics Using R 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.

Understanding Psychological Bonds between Individuals and Organizations

The Coalescence Model of Organizational Identification

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Author: S. Fuchs

Publisher: Springer

ISBN: 1137033975

Category: Business & Economics

Page: 240

View: 7889

In Understanding Psychological Bonds between Individuals and Organizations the author integrates different theoretical perspectives on how individuals form deep, meaningful, and self-defining relationships with their employing organization and proposes a novel and comprehensive take on key triggers and processes associated with such relationships.

A Practical Introduction to Research Methods in Psychology

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Author: Eugene B. Zechmeister,John J. Shaughnessy,Jeanne S. Zechmeister

Publisher: McGraw-Hill Humanities Social

ISBN: 9780070727052

Category: Psychology

Page: 274

View: 8137

This workbook designed to accompany Shaughnessy/Zechmeister, RESEARCH METHODS IN PSYCHOLOGY, 4/e provides students with concrete examples of abstract ideas and gives students the kinds of practical experiences that aid understanding of research methods. The workbook offers instructors brief descriptions of published research in psychology related to the methods covered in each chapter of the text. The brief descriptions are then used as the basis for related questions, problems, and exercises. Instructors can use these exercises as homework assignments or as the basis for in-class discussion.

Understanding and Using Advanced Statistics

A Practical Guide for Students

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Author: Jeremy J Foster,Emma Barkus,Christian Yavorsky

Publisher: SAGE

ISBN: 1412900131

Category: Social Science

Page: 178

View: 6599

The spread of sophisticated computer packages and the machinery on which to run them has meant that procedures which were previously only available to experienced researchers with access to expensive machines and research students can now be carried out in a few seconds by almost every undergraduate. Understanding and Using Advanced Statistics provides the basis for gaining an understanding of what these analytic procedures do, when they should be used, and what the results provided signify. This comprehensive textbook guides students and researchers through the transition from simple statistics to more complex procedures with accessible language and illustration.

Statistical Analysis for Education and Psychology Researchers

Tools for Researchers in Education and Psychology

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Author: Ian Peers

Publisher: Routledge

ISBN: 1135717524

Category: Education

Page: 436

View: 3468

Basic statistical concepts such as probability, estimation and inference, and their role in research design and analysis are presented in this volume. The author demonstrates which statistical test to use in given circumstances and how to use it, drawing on data from psychology and education.; Written for those without a strong mathematical background, the book's examples can be worked using a pocket calculator. "Real life" data are analyzed using statistical software (SAS), output is interpreted, and a decision chart is presented which summarizes considerations when choosing a statistical test.

Understanding and Evaluating Research in Applied and Clinical Settings

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Author: George A. Morgan,Jeffrey A. Gliner,Robert J. Harmon

Publisher: Psychology Press

ISBN: 1135604533

Category: Education

Page: 382

View: 3399

Clinically oriented professionals and students need to understand and evaluate the research and statistics in professional articles, especially given today's emphasis on evidence-based practice. This book demonstrates how the research approach and design help determine the appropriate statistical analysis. Understanding and Evaluating Research in Applied and Clinical Settings features: *short, independent, chapters that do not have to be read in order; *a guide to understanding why a particular statistic was selected; *an emphasis on effects sizes including measures of risk potency; *numerous cross-disciplinary examples to illustrate the material; and *methods to help determine practical and clinical significance and their relation to meta-analysis and evidence-based practice. This book is intended for practitioners and students in psychology, education, counseling, mental and allied health, nursing, and medicine, and as a text for courses on understanding research methods and statistics.

Introduction to Research Methods and Data Analysis in Psychology

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Author: Darren Langdridge,Gareth Hagger-Johnson

Publisher: Pearson Education

ISBN: 9780131982031

Category: Psychology

Page: 558

View: 5517

This is a comprehensive introduction to research methods and data analysis. The book assumes no previous knowledge of research methods or psychology and provides an accessible and jargon-free way into this frequently difficult topic area.

Understanding and Applying Basic Statistical Methods Using R

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Author: Rand R. Wilcox

Publisher: John Wiley & Sons

ISBN: 1119061393

Category: Mathematics

Page: 504

View: 8686

Features a straightforward and concise resource for introductory statistical concepts, methods, and techniques using R Understanding and Applying Basic Statistical Methods Using R uniquely bridges the gap between advances in the statistical literature and methods routinely used by non-statisticians. Providing a conceptual basis for understanding the relative merits and applications of these methods, the book features modern insights and advances relevant to basic techniques in terms of dealing with non-normality, outliers, heteroscedasticity (unequal variances), and curvature. Featuring a guide to R, the book uses R programming to explore introductory statistical concepts and standard methods for dealing with known problems associated with classic techniques. Thoroughly class-room tested, the book includes sections that focus on either R programming or computational details to help the reader become acquainted with basic concepts and principles essential in terms of understanding and applying the many methods currently available. Covering relevant material from a wide range of disciplines, Understanding and Applying Basic Statistical Methods Using R also includes: Numerous illustrations and exercises that use data to demonstrate the practical importance of multiple perspectives Discussions on common mistakes such as eliminating outliers and applying standard methods based on means using the remaining data Detailed coverage on R programming with descriptions on how to apply both classic and more modern methods using R A companion website with the data and solutions to all of the exercises Understanding and Applying Basic Statistical Methods Using R is an ideal textbook for an undergraduate and graduate-level statistics courses in the science and/or social science departments. The book can also serve as a reference for professional statisticians and other practitioners looking to better understand modern statistical methods as well as R programming. Rand R. Wilcox, PhD, is Professor in the Department of Psychology at the University of Southern California, Fellow of the Association for Psychological Science, and an associate editor for four statistics journals. The author of more than 320 articles published in a variety of statistical journals, he is also the author eleven other books on statistics. Dr. Wilcox is creator of WRS (Wilcox’ Robust Statistics), which is an R package for performing robust statistical methods. His main research interest includes statistical methods, particularly robust methods for comparing groups and studying associations.

Modern Statistics for the Social and Behavioral Sciences

A Practical Introduction

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Author: Rand Wilcox

Publisher: CRC Press

ISBN: 1439834563

Category: Mathematics

Page: 862

View: 2393

In addition to learning how to apply classic statistical methods, students need to understand when these methods perform well, and when and why they can be highly unsatisfactory. Modern Statistics for the Social and Behavioral Sciences illustrates how to use R to apply both standard and modern methods to correct known problems with classic techniques. Numerous illustrations provide a conceptual basis for understanding why practical problems with classic methods were missed for so many years, and why modern techniques have practical value. Designed for a two-semester, introductory course for graduate students in the social sciences, this text introduces three major advances in the field: Early studies seemed to suggest that normality can be assumed with relatively small sample sizes due to the central limit theorem. However, crucial issues were missed. Vastly improved methods are now available for dealing with non-normality. The impact of outliers and heavy-tailed distributions on power and our ability to obtain an accurate assessment of how groups differ and variables are related is a practical concern when using standard techniques, regardless of how large the sample size might be. Methods for dealing with this insight are described. The deleterious effects of heteroscedasticity on conventional ANOVA and regression methods are much more serious than once thought. Effective techniques for dealing heteroscedasticity are described and illustrated. Requiring no prior training in statistics, Modern Statistics for the Social and Behavioral Sciences provides a graduate-level introduction to basic, routinely used statistical techniques relevant to the social and behavioral sciences. It describes and illustrates methods developed during the last half century that deal with known problems associated with classic techniques. Espousing the view that no single method is always best, it imparts a general understanding of the relative merits of various techniques so that the choice of method can be made in an informed manner.

Research Methods in Psychology

A Practical Introduction

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Author: R. A. McQueen,Christina Knussen

Publisher: Prentice Hall

ISBN: N.A

Category: Psychology

Page: 284

View: 4616

This text follows the basic structure underlying any research project, starting with decisions about topic choice and progessing the competent handling of complex data, to using the SPSS statistical package. The emphasis is on understanding the concepts of any analysis undertaken, rather than knowing precisely how to do correct mathematical calculations. Features include: quotations from students reflecting their fears and concerns; illustrative boxes showing relevant examples; and a flowchart and navigation guide to individual chapter contents allowing students to access material easily at any point in the text.

First Steps In Research and Statistics

A Practical Workbook for Psychology Students

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Author: Dennis Howitt,Duncan Cramer

Publisher: Routledge

ISBN: 1134635494

Category: Psychology

Page: 272

View: 7968

First Steps in Research and Statistics is a new, very accessible approach to learning about quantitative methods. No previous knowledge or experience is assumed and every stage of the research process is covered. Key topics include: * Formulating your research questions * How to choose the right statistical test for your research design * Important research issues, such as questionnaire design, ethics, sampling, reliability and validity * Conducting simple statistics to explore relationships and differences in your data * Using statistics to explore relationships and differences in your data * Writing up your research report and presenting statistics Simple and helpful worksheets and flow diagrams guide you through the research stages. Each chapter contains exercises with answers to check whether you've understood.

Research Methods for Clinical Therapists E-Book

Applied Project Design and Analysis

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Author: Carolyn M. Hicks

Publisher: Elsevier Health Sciences

ISBN: 0702041882

Category: Medical

Page: 408

View: 4895

Struggling to do a project or dissertation, evaluate published research or conduct your own research? Help is at hand with this 5th edition of Research Methods for Clinical Therapists, which explains, in a clear and simple manner, how to evaluate existing research and how to conduct your own research. Aimed at undergraduate and postgraduate students, as well as the practising health care professional, the focus of the text is the design and analysis of experimental studies. These are vital to the effectiveness studies that are central to the work of the healthcare professional. Specific examples from different areas of healthcare are used to explain the core research concepts and relate them to clinical situations. Statistical theory and jargon are kept to a minimum. 'Key concept' boxes to explain technical research terms Activities and exercises (with answers provided in an appendix) to reinforce learning Sample critique of a published research article Comprehensive coverage of the key components of a robust research study Explanation of basic mathematical concepts Extended section on calculating sample sizes Guidelines on the preparation of posters Calculation of Inter-rater reliability measures, including Cohen’s Kappa, ICC (interclass correlation) and Bland-Altman graphs of inter-rater agreement Introduction to Receiver Operating Characteristics, for use in screening and diagnostic testing against gold-standards The Thurstone Paired Comparison Technique, valuable in capturing the user voice on a variety of service planning, design and development issues Undertaking Systematic Reviews Relevant further reading for each chapter to support readers in their work.

Understanding The New Statistics

Effect Sizes, Confidence Intervals, and Meta-Analysis

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Author: Geoff Cumming

Publisher: Routledge

ISBN: 1136659188

Category: Psychology

Page: 536

View: 974

This is the first book to introduce the new statistics - effect sizes, confidence intervals, and meta-analysis - in an accessible way. It is chock full of practical examples and tips on how to analyze and report research results using these techniques. The book is invaluable to readers interested in meeting the new APA Publication Manual guidelines by adopting the new statistics - which are more informative than null hypothesis significance testing, and becoming widely used in many disciplines. Accompanying the book is the Exploratory Software for Confidence Intervals (ESCI) package, free software that runs under Excel and is accessible at www.thenewstatistics.com. The book’s exercises use ESCI's simulations, which are highly visual and interactive, to engage users and encourage exploration. Working with the simulations strengthens understanding of key statistical ideas. There are also many examples, and detailed guidance to show readers how to analyze their own data using the new statistics, and practical strategies for interpreting the results. A particular strength of the book is its explanation of meta-analysis, using simple diagrams and examples. Understanding meta-analysis is increasingly important, even at undergraduate levels, because medicine, psychology and many other disciplines now use meta-analysis to assemble the evidence needed for evidence-based practice. The book’s pedagogical program, built on cognitive science principles, reinforces learning: Boxes provide "evidence-based" advice on the most effective statistical techniques. Numerous examples reinforce learning, and show that many disciplines are using the new statistics. Graphs are tied in with ESCI to make important concepts vividly clear and memorable. Opening overviews and end of chapter take-home messages summarize key points. Exercises encourage exploration, deep understanding, and practical applications. This highly accessible book is intended as the core text for any course that emphasizes the new statistics, or as a supplementary text for graduate and/or advanced undergraduate courses in statistics and research methods in departments of psychology, education, human development , nursing, and natural, social, and life sciences. Researchers and practitioners interested in understanding the new statistics, and future published research, will also appreciate this book. A basic familiarity with introductory statistics is assumed.

Psychology of Science

Implicit and Explicit Processes

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Author: Robert W. Proctor,E.J. Capaldi

Publisher: Oxford University Press

ISBN: 0199753628

Category: Medical

Page: 523

View: 4070

Symposium held at Purdue Univ. in June 4-5, 2010.

Approaching Multivariate Analysis, 2nd Edition

A Practical Introduction

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Author: Pat Dugard,John Todman,Harry Staines

Publisher: N.A

ISBN: 9780415645911

Category: Psychology

Page: 440

View: 6803

This edition 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.

An Introduction to Statistical Concepts

Third Edition

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Author: Debbie L Hahs-Vaughn,Richard G Lomax

Publisher: Routledge

ISBN: 1136490124

Category: Psychology

Page: 840

View: 8539

This comprehensive, flexible text is used in both one- and two-semester courses to review introductory through intermediate statistics. Instructors select the topics that are most appropriate for their course. Its conceptual approach helps students more easily understand the concepts and interpret SPSS and research results. Key concepts are simply stated and occasionally reintroduced and related to one another for reinforcement. Numerous examples demonstrate their relevance. This edition features more explanation to increase understanding of the concepts. Only crucial equations are included. In addition to updating throughout, the new edition features: New co-author, Debbie L. Hahs-Vaughn, the 2007 recipient of the University of Central Florida's College of Education Excellence in Graduate Teaching Award. A new chapter on logistic regression models for today's more complex methodologies. More on computing confidence intervals and conducting power analyses using G*Power. Many more SPSS screenshots to assist with understanding how to navigate SPSS and annotated SPSS output to assist in the interpretation of results. Extended sections on how to write-up statistical results in APA format. New learning tools including chapter-opening vignettes, outlines, and a list of key concepts, many more examples, tables, and figures, boxes, and chapter summaries. More tables of assumptions and the effects of their violation including how to test them in SPSS. 33% new conceptual, computational, and all new interpretative problems. A website that features PowerPoint slides, answers to the even-numbered problems, and test items for instructors, and for students the chapter outlines, key concepts, and datasets that can be used in SPSS and other packages, and more. Each chapter begins with an outline, a list of key concepts, and a vignette related to those concepts. Realistic examples from education and the behavioral sciences illustrate those concepts. Each example examines the procedures and assumptions and provides instructions for how to run SPSS, including annotated output, and tips to develop an APA style write-up. Useful tables of assumptions and the effects of their violation are included, along with how to test assumptions in SPSS. 'Stop and Think' boxes provide helpful tips for better understanding the concepts. Each chapter includes computational, conceptual, and interpretive problems. The data sets used in the examples and problems are provided on the web. Answers to the odd-numbered problems are given in the book. The first five chapters review descriptive statistics including ways of representing data graphically, statistical measures, the normal distribution, and probability and sampling. The remainder of the text covers inferential statistics involving means, proportions, variances, and correlations, basic and advanced analysis of variance and regression models. Topics not dealt with in other texts such as robust methods, multiple comparison and nonparametric procedures, and advanced ANOVA and multiple and logistic regression models are also reviewed. Intended for one- or two-semester courses in statistics taught in education and/or the behavioral sciences at the graduate and/or advanced undergraduate level, knowledge of statistics is not a prerequisite. A rudimentary knowledge of algebra is required.

Quantitative Data Analysis with SPSS 12 and 13

A Guide for Social Scientists

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Author: Alan Bryman,Duncan Cramer

Publisher: Psychology Press

ISBN: 9780415340809

Category: Psychology

Page: 367

View: 3194

This new edition has been completely updated to accommodate the needs of users of SPSS Release 12 and 13 for Windows, whilst still being applicable to those using SPSS Release 11 and 10. Alan Bryman and Duncan Cramer provide a non-technical approach to quantitative data analysis and a user-friendly introduction to the widely used SPSS. No previous familiarity with computing or statistics is required to benefit from this step-by-step guide to techniques including: Non-parametric tests Correlation Simple and multiple regression Multivarate analysis of variance and covariance Factor analysis The authors discuss key issues facing the newcomer to research, such as how to decide which statistical procedure is suitable, and how to interpret the subsequent results. Each chapter contains worked examples to illustrate the points raised and ends with a comprehensive range of exercises which allow the reader to test their understanding of the topic. This new edition of this hugely successful textbook will guide the reader through the basics of quantitative data analysis and become an essential reference tool for both students and researchers in the social sciences. The datasets used in Quantitative Data Analysis for SPSS Release 12 and 13 are available online at www.psypress.com/brymancramer/ .

Using Data for Monitoring and Target Setting

A Practical Guide for Teachers

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Author: Raymond Sumner,Ian McCallum

Publisher: Psychology Press

ISBN: 9780415196864

Category: Education

Page: 94

View: 8417

Using Data for Monitoring and Target Setting is a clear and practical guide for teachers and school administrative staff that shows how to use spreadsheets to create orderly records of assessment. These can then be used for the sort of statistical analyses which are now being demanded. This guide includes lots of practical examples, step-by-step instructions on how to obtain the data you want, simple advice on how to use Excel, pictures of the actual screens you will be using. No prior experience is necessary. Even the most technophobic teacher will find this easy to follow, but the experienced manager will also have something to learn. The techniques covered will be complementary to the data now required by the LEAs, DfEE and school governors.

Foundations of Psychological Testing

A Practical Approach

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Author: Leslie A. Miller,Robert L. Lovler

Publisher: SAGE Publications

ISBN: 1483369277

Category: Psychology

Page: 640

View: 9101

Offering a clear introduction to the basics of psychological testing as well as to psychometrics and statistics, Foundations of Psychological Testing: A Practical Approach, Fifth Edition by Leslie A. Miller and Robert L. Lovler is a practical book that includes discussion of foundational concepts and issues, using real-life examples and situations that students will easily recognize, relate to, and find interesting. A variety of pedagogical tools further the conceptual understanding needed for effective use of tests and test scores. Now aligned with the 2014 Standards for Educational and Psychological Testing, the Fifth Edition offers new and expanded content throughout.