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Analyzing Quantitative Data A userfriendly, handson guide to recognizing and conducting proper research techniques in data collection Offering a unique approach to numerical research methods, Analyzing Quantitative Data: An Introduction for Social Researchers presents readers with the necessary statistical applications for carrying out the key phases of conducting and evaluating a research project. The book guides readers through the steps of data analysis, from organizing raw data to utilizing descriptive statistics and tests of significance, drawing valid conclusions, and writing research reports. The author successfully provides a presentation that is accessible and handson rather than heavily theoretical, outlining the key quantitative processes and the use of software to successfully draw valid conclusions from gathered data. In its discussion of methods for organizing data, the book includes suggestions for coding and entry into spreadsheets or databases while also introducing commonly used descriptive statistics and clarifying their roles in data analysis. Next, inferential statistics is explored indepth with explanations of and instructions for performing chisquare tests, ttests, analyses of variance, correlation and regression analyses, and a number of advanced statistical procedures. Each chapter contains explanations of when to use the tests described, relevant formulas, and sample computations. The book concludes with guidance on extracting meaningful conclusions from statistical tests and writing research reports that describe procedures and analyses. Throughout the book, Statistical Resources for SPSS® sections provide fundamental instruction for using SPSS® to obtain the results presented. Where necessary, the author provides basic theoretical explanations for distributions and background information regarding formulas. Each chapter concludes with practice problems, and a related website features derivations of the book's formulas along with additional resources for performing the discussed processes. Analyzing Quantitative Data is an excellent book for social sciences courses on data analysis and research methods at the upperundergraduate and graduate levels. It also serves as a valuable reference for applied statisticians and practitioners working in the fields of education, medicine, business and public service who analyze, interpret, and evaluate data in their daily work.

Introducing Qualitative Research in Psychology Why use qualitative research in psychology? How is qualitative research in psychology carried out? What are the major debates and unresolved issues surrounding this form of research? "Introducing Qualitative Research in Psychology" is a vital resource for students new to qualitative psychology. It offers a clear introduction to the topic by taking six different approaches to qualitative methods and explaining when each one should be used, the procedures and techniques involved, and any limitations associated with such research. Throughout the new edition, material has been reorganized and updated to reflect developments in the field, however Carla Willig's style of writing, popular with students and lecturers alike, remains unchanged. The book examines: Reflexivity and ethics The benefits of the different approaches and comparisons of them Appropriate ways of writing up research This edition contains more interactive exercises and tasks in order to help students understand what they are learning, as well as three qualitative research reports with annotations highlighting key issues for novice researchers.

PDQ Statistics PDQ Statistics, Third Edition offers an expert overview of all major statistical methods, giving the reader a thorough understanding of statistics and how they are used in research articles. The book covers the major categories  variable and descriptive statistics, parametric statistics, nonparametric statistics, and multivariate statistics. The explanations are clear, succinct, and loaded with practical examples. This third edition includes new chapters on hierarchical and logistic regression, path analysis, and structural equation modeling. PDQ Statistics, Third Edition also helps the reader identify those statistical analyses with basic flaws in design or research.The book's attractive design and humorous writing style make the subject matter accessible and engaging.

Qualitative Research Methods in Psychology Providing practical guidance on carrying out qualitative research in psychology, using methods singly or in combination, this textbook supports students from the beginning of their research experience at undergraduate level through to postgraduate research and beyond. The test introduces four widely used qualitative approaches, grounded theory, interpretative phenomenological analysis, discourse analysis and narrative analysis  and then considers ways of combining the approaches. Each chapter focuses on practical aspects of pluralistic study design and application, including participant recruitment, ethics, data interpretation and writing up. The book reflects the latest developments in qualitative research and includes several features designed to illustrate the applications of these, including: Clear chapter introductions and summaries Descriptive case studies and group projects Reflections on practice Problembased questions Research examples The contributors bring personal insight into qualitative research practice, covering key areas of psychology, including: health psychology, social psychology, criminal psychology, gender studies, psychotherapy and counselling psychology and organizational psychology. "This book provides an introduction to four widely used qualitative research methods, followed by a detailed discussion of a pluralistic approach to qualitative research, makes exceellent use of questions both in order to help the reader gain clarity as well as to encourage reflexivity" The Psychologist, May 2012

Quantitative and Statistical Research Methods Quantitative and Statistical Research Methodsoffers a guide for psychology, counseling, and education students in the use of statistics and research designs, combined with guidance on using SPSS in the course of their research. Each chapter covers a research problem, taking the student through identifying research questions and hypotheses; identifying, classifying, and operationally defining the study variables; choosing appropriate research designs; conducting power analysis; choosing an appropriate statistic for the problem; using a data set; conducting data screening and analyses (SPSS); interpreting the statistics; and writing the results related to the problem. Designed so students will know how to plan research and conduct statistical analyses using several different procedures.

Research Methods in Clinical Psychology A completely revised and updated edition of an established and respected text, this is a concise and accessible review of the thoughts and methods which relate to undertaking research, and evaluating research and clinical treatment. Written with the scientistpractitioner in mind, this text presents research methods and clinical treatment with a strong emphasis placed on the evaluation of research, which is so important to evidence based practice. Research Methods in Clinical Psychology covers the essential aspects of training courses for new clinical psychologists, but will also be invaluable for practising clinicians updating their qualifications. Features to aid teaching and learning include: Case studies Chapter summaries Annotated further reading Glossary of key terms Web based extra material for seminars, practise evaluation, etc. PARTIAL TABLE OF CONTENTS: PERSPECTIVES ON RESEARCH; DOING THE GROUNDWORK; FOUNDATIONS OF MEASUREMENT; FOUNDATIONS OF QUALITATIVE METHODS; SELFREPORT METHODS; OBSERVATIONS; FOUNDATIONS OF DESIGN; SMALLN DESIGNS; THE PARTICIPANTS: SAMPLING AND ETHICS; SERVICE EVALUATION RESEARCH; ANALYSIS AND INTERPRETATION; CONCLUSION: EVALUATING AND USING RESEARCH

Statistics for the Utterly Confused Statistics for the Utterly Confused, Second Edition When it comes to understanding statistics, even good students can be confused. Perfect for students in any introductory noncalculusbased statistics course, and equally useful to professionals working in the world, Statistics for the Utterly Confused is your ticket to success. Statistical concepts are explained stepbystep and applied to such diverse fields as business, economics, finance, and more. The message of Statistics for the Utterly Confused is simple: you don't have to be confused anymore. Updated and expanded to give you the latest changes in the field, this uptotheminute edition includes many new examples of Excel output, the most widely used of all statistics programs; a new chapter on Analysis of Variance (ANOVA); and 200 additions to the 700 selftesting questions and answers. The expert author's Web site also gives you tons of fresh examples, practice problems, and strategiesso you can go from utterly confused to totally prepared in no time! Inside, you'll discover how to: Grasp the meaning of everyday statistical concepts Find out what's probable and what isn't Read, understand, and solve statistics problems Improve your scores on exams Use your skills in any field

Statistics from A to Z Statistics is confusing, even for smart, technically competent people. And many students and professionals find that existing books and web resources don't give them an intuitive understanding of confusing statistical concepts. That is why this book is needed. Some of the unique qualities of this book are: * Easy to Understand: Uses unique "graphics that teach" such as concept flow diagrams, compareandcontrast tables, and even cartoons to enhance "rememberability." * Easy to Use: Alphabetically arranged, like a miniencyclopedia, for easy lookup on the job, while studying, or during an openbook exam. * Wider Scope: Covers Statistics I and Statistics II and Six Sigma Black Belt, adding such topics as control charts and statistical process control, process capability analysis, and design of experiments. As a result, this book will be useful for business professionals and industrial engineers in addition to students and professionals in the social and physical sciences. In addition, each of the 60+ concepts is covered in one or more articles. The 75 articles in the book are usually 57 pages long, ensuring that things are presented in "bitesized chunks." The first page of each article typically lists five "Keys to Understanding" which tell the reader everything they need to know on one page. This book also contains an article on "Which Statistical Tool to Use to Solve Some Common Problems", additional "Which to Use When" articles on Control Charts, Distributions, and Charts/Graphs/Plots, as well as articles explaining how different concepts work together (e.g., how Alpha, p, Critical Value, and Test Statistic interrelate). ANDREW A. JAWLIK received his B.S. in Mathematics and his M.S. in Mathematics and Computer Science from the University of Michigan. He held jobs with IBM in marketing, sales, finance, and information technology, as well as a position as Process Executive. In these jobs, he learned how to communicate difficult technical concepts in easy  to  understand terms. He completed Lean Six Sigma Black Belt coursework at the IASSC  accredited Pyzdek Institute. In order to understand the confusing statistics involved, he wrote explanations in his own words and graphics. Using this material, he passed the certification exam with a perfect score. Those statistical explanations then became the starting point for this book.

Statistics in Plain English Statistics in Plain English, Second Edition provides a brief, simple overview of statistics to help readers gain a better understanding of how statistics work and how to interpret them correctly. It presents brief explanations of statistical concepts and techniques in simple, everyday language. Each selfcontained chapter consists of three sections. The first describes the statistic, including how it is used and what information it provides. The second section reviews how it works, how to calculate the formula, the strengths and weaknesses of the technique, and the conditions needed for its use. The final section provides examples that use and interpret the statistic. A glossary of terms and symbols is also included. New features in the second edition include: an interactive CD with PowerPoint presentations and problems for each chapter including an overview of the problem's solution; new chapters on basic research concepts including sampling, definitions of different types of variables, and basic research designs and one onnbsp;nonparametric statistics; more graphs and more precise descriptions of each statistic; and a discussion of confidence intervals. This brief paperback is an ideal supplement for statistics, research methods, courses that use statistics, or as a reference tool to refresh one's memory about key concepts. The actual research examples are from psychology, education, and other social and behavioral sciences. Materials formerly available with this book on CDROM are now available for download from our website www.psypress.com. Go to the book's page and look for the 'Download' link in the righthand column.

Straightforward Statistics : Understanding the Tools of Research Straightforward Statistics: Understanding the Tools of Research is a clear and direct introduction to statistics for the social, behavioral, and life sciences. Based on the author's extensive experience teaching undergraduate statistics, this book provides a narrative presentation of the coreprinciples that provide the foundation for modernday statistics. With stepbystep guidance on the nuts and bolts of computing these statistics, the book includes detailed tutorials how to use stateoftheart software, SPSS, to compute the basic statistics employed in modern academic and appliedresearch. Across 13 succinct chapters, this text presents statistics using a conceptual approach along with information on the relevance of the different tools in different contexts and summaries of current research examples.Students should find this book easy useful and engaging in its presentation while instructors should find it detailed, comprehensive, accessible, and helpful in complementing a basic course in statistics.

Teach Yourself: Statistics: An Introduction Whether you want to understand the statistics that you are bombarded with every day or are a student or professional coming to statistics from a wide range of disciplines, Statistics: An Introduction covers it all.

Test Theory This book introduces the reader to the main quantitative concepts, methods, and computational techniques needed for the development, evaluation, and application of tests in the behavioral/social sciences, including educational tests. Two empirical examples are carried throughout to illustrate alternative methods. Other data sets are used for special illustrations. Selfcontained programs for confirmatory and exploratory factor analysis are available on the Web. Intended for students of psychology, particularly educational psychology, as well as social science students interested in how tests are constructed and used, prerequisites include a course on statistics. The programs and data files for this book can be downloaded from www.psypress.com/testtheory/

Understanding and Evaluating Research in Applied and Clinical Settings Clinically oriented professionals and students need to understand and evaluate the research and statistics in professional articles, especially given today's emphasis on evidencebased practice. This book demonstrates how the research approach and design help determine the appropriate statistical analysis. Understanding and Evaluating Research in Applied and Clinical Settingsfeatures: *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 crossdisciplinary examples to illustrate the material; and *methods to help determine practical and clinical significance and their relation to metaanalysis and evidencebased 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.ine, and as a text for courses on understanding research methods and statistics.