Designed to help readers analyze and interpret research data using IBM SPSS, this user-friendly book shows readers how to choose the appropriate statistic based on the design, perform intermediate statistics, including multivariate statistics, interpret output, and write about the results. The book reviews research designs and how to assess the accuracy and reliability of data: whether data meet the assumptions of statistical tests; how to calculate and interpret effect sizes for intermediate statistics, including odds ratios for logistic and discriminant analyses; how to compute and interpret post-hoc power; and an overview of basic statistics for those who need a review. Unique chapters on multilevel linear modeling, multivariate analysis of variance (MANOVA), assessing reliability of data, and factor analysis are provided. SPSS syntax, along with the output, is included for those who prefer this format. The new edition features: <ul>
<li>IBM SPSS version 19; although the book can be used with most older and newer versions</li> <li>expanded discussion of assumptions and effect size measures in several chapters</li> <li>expanded discussion of multilevel modeling</li> <li>expansion of other useful SPSS functions in Appendix A</li> <li>examples that meet the new formatting guidelines in the 6th edition of the APA Publication Manual (2010)</li> <li>flowcharts and tables to help select the appropriate statistic and interpret statistical significance and effect sizes </li> <li>multiple realistic data sets available on the website used to solve the chapter problems</li> <li>password protected Instructor's Resource materials with PowerPoint slides, answers to interpretation questions and extra SPSS problems, and chapter outlines and study guides.</li>
</ul>
IBM SPSS for Intermediate Statistics, Fourth Edition provides helpful teaching tools: <ul>
<li>all of the key SPSS windows needed to perform the analyses</li> <li>outputs with call-out boxes to highlight key points</li> <li>interpretation sections and questions to help students better understand and interpret the output</li> <li>extra problems using multiple realistic data sets for practice in conducting analyses using intermediate statistics</li> <li>helpful appendices on how to get started with SPSS, writing research questions, and review of basic statistics.</li>
</ul>
An ideal supplement for courses in either intermediate/advanced statistics or research methods taught in departments of psychology, education, and other social and health sciences, this book is also appreciated by researchers in these areas looking for a handy reference for SPSS.

IBM SPSS for Intermediate Statistics: Use and Interpretation, 4th Edition

Science & Math

Leech, Nancy L.

Barrett, Karen C.

Morgan, George A.

Mathematics

Routledge

Designed to help students analyze and interpret research data using IBM SPSS, this book describes the use of statistics in user-friendly, non-technical language to show readers how to choose the appropriate statistic based on the design, interpret output, and write about the results. The authors prepare readers for all of the steps in the research process, from design and data collection, to writing about the results. Discussions of writing about outputs, data entry and checking, reliability assessment, testing assumptions, and computing descriptive and inferential parametric and nonparametric statistics are included. SPSS syntax, along with the output, is provided for those who prefer this format. The new edition features: <ul>
<li>IBM SPSS version 18 but the book can also be used with older and newer versions</li> <li>New section on describing demographics and key variables</li> <li>Expanded discussion of assumptions and effect size measures in several chapters</li> <li>Expansion of other useful SPSS functions in Appendix A</li> <li>Examples that meet the new formatting guidelines outlined in the 6th edition of the APA Publication Manual (2010)</li> <li>Flowcharts and tables to help select the appropriate statistic and interpret statistical significance and effect sizes</li> <li>Two realistic data sets at www.psypress.com used to solve the chapter problems</li> <li>Password protected Instructor's Resource materials with PowerPoint slides, answers to interpretation questions, extra SPSS problems, and more found at http://www.psypress.com/ibm-spss-intro-stats .</li>
</ul>
IBM SPSS for Introductory Statistics, Fourth Edition provides helpful teaching tools: <ul>
<li>All of the key IBM SPSS windows needed to perform the analyses</li> <li>Complete outputs with call-out boxes to highlight key points</li> <li>Interpretation sections and questions to help students better understand and interpret the output</li> <li>Lab assignments organized the way students proceed when they conduct a research project</li> <li>Extra problems for practice in running and interpreting SPSS</li> <li>Helpful appendices on how to: get started with SPSS; write research questions; and create tables and figures.</li>
</ul>
An ideal supplement for courses in either statistics, research methods, or any course in which SPSS is used, taught in departments of psychology, education, and other social and health sciences, this book is also appreciated by researchers interested in using SPSS for their data analysis.

IBM SPSS for Introductory Statistics: Use and Interpretation, 4th Edition

Computers & Technology

Gloeckner, Gene W.

Computer Science

Routledge Academic

The authors of this unique text found that while most students can "crunch" the numbers quite easily and accurately with a calculator or computer, many have trouble seeing the "big picture" or seeing how research questions and design influence data analysis. As a result, the authors developed a semantically consistent framework that integrates traditional research approaches (experimental, quasi-experimental, comparative) into three basic kinds of research questions (difference, associational, and descriptive), which, in turn, lead to three kinds or groups of statistics with the same names. This text: *helps students become good consumers of research by demonstrating how to analyze and evaluate research articles; *offers a number of summarizing diagrams and tables that clarify confusing or difficult to learn topics; *points out the value of qualitative research and how it should lead quantitative researchers to be more flexible; *divides all quantitative research questions into five logically consistent categories that help students select appropriate statistics and understand their cause and effect; and *classifies design into three major types: between groups, within subjects, and mixed groups and shows that, although these three types use the same general type of statistics (e.g., ANOVA), the specific statistics in between-groups design are different from those in within-subjects and mixed groups.

Research Methods in Applied Settings: An Integrated Approach to Design and Analysis

Gliner, Jeffrey A.

Reference

Psychology Press

This book distinguishes itself from other SPSS resources through its unique integration of the research process (including design) and the use and interpretation of the statistics. Designed to help students analyze and interpret research data, the authors demonstrate how to choose the appropriate statistic based on the research design, interpret SPSS output, and write about the output in a research paper. The authors describe the use and interpretation of these statistics in user-friendly, non-technical language. The book prepares students for all of the steps in the research process, from design and data collection, to writing about the results. The new edition features SPSS 14.0 for Windows, but can also be used with older and newer versions. There are also new problems, expanded discussions of effect sizes, and an expanded appendix on getting started with SPSS. The book features discussions of writing about outputs, data entry and checking, reliability assessment, testing assumptions, and descriptive, inferential, and nonparametric statistics. Several related statistics are included in each chapter. SPSS syntax, along with the output, is included for those who prefer this format. Two realistic data sets are available on the book’s CD and are used to solve the end of chapter problems. SPSS for Introductory Statistics, Third Edition, provides these helpful teaching tools: • All of the key SPSS windows needed to perform the analyses • Complete outputs with call-out boxes to highlight key points • Interpretation sections and questions to help students better understand the output • Lab assignments organized the way students proceed when they conduct a research project • Extra SPSS problems for practice in running and interpreting SPSS • Helpful appendices on how to get started with SPSS, write research questions, and create tables and figures. This book is an ideal supplement for courses in either statistics or research methods taught in departments of psychology, education, and other social and health sciences. The Instructor’s Resource CD features PowerPoint slides and answers to and additional information on the questions and problems.

SPSS for Introductory Statistics: Use and Interpretation, Second Edition (Volume 2)

This book distinguishes itself from other SPSS resources through its unique integration of the research process (including design) and the use and interpretation of the statistics. Designed to help students analyze and interpret research data, the authors demonstrate how to: choose the appropriate statistic based on the research design, interpret SPSS output, and write about the output in a research paper. The authors describe the use and interpretation of these statistics in a user-friendly, non-technical language. The book prepares students for all of the steps in the research process, from design and data collection, to writing about the results. The new edition features SPSS 14.0 for Windows, but can also be used with older and newer versions. There are also new problems, expanded discussions of effect sizes, and an expanded appendix on getting started with SPSS. The book features discussions of writing about outputs, data entry and checking, reliability assessment, testing assumptions, and descriptive, inferential, and nonparametric statistics. Several related statistics are included in each chapter. SPSS syntax, along with the output, is included for those who prefer this format. Two realistic data sets are available on the book’s CD and are used to solve the end of chapter problems. SPSS for Introductory Statistics, Third Edition provides helpful teaching tools: <ul>
<li>all of the key SPSS windows needed to perform the analyses</li> <li>complete outputs with call-out boxes to highlight key points</li> <li>interpretation sections and questions to help students better understand the output</li> <li>lab assignments organized the way students proceed when they conduct a research project</li> <li>extra SPSS problems for practice in running and interpreting SPSS</li> <li>helpful appendices on how to: get started with SPSS, write research questions, and create tables and figures.</li>
</ul>
This book is an ideal supplement for courses in either statistics or research methods taught in departments of psychology, education, and other social and health sciences. The Instructor's Resource CD features PowerPoint slides and answers to and additional information on the questions and problems.

IBM SPSS for Introductory Statistics: Use and Interpretation, Third Edition (Volume 2)

Business & Money

Education & Reference

Through its integrated approach to quantitative research methods, this text teaches readers how to plan, conduct, and write a research project and select and interpret data so they can become better consumers of research. This is not a statistics book―there are very few formulas. Rather, this book helps students master which statistic to use when and how to interpret the results. Organized around the steps one takes in conducting a research project, this book is ideal for applied programs and for those who want to analyze and evaluate research articles. Having taught in a variety of departments, the authors have a good grasp of the research problems faced by master’s and doctoral students in diverse areas of the behavioral and social sciences. Text adopters applaud the book’s clarity. Students are often confused by other texts’ use of inconsistent terminology. To avoid this confusion, the authors present a semantically consistent picture that emphasizes five research approaches-- randomized experimental, quasi-experimental, comparative, associational, and descriptive. The authors then show how these approaches lead to three kinds of research designs which, in turn, lead to three groups of statistics with the same names. This consistent framework increases comprehension and the ability to apply the material. Numerous applied problems, annotated examples, and diagrams and tables further promote comprehension. Although the book emphasizes quantitative research, the value of qualitative research is introduced. This extensively revised edition features more than 50% new material including: <ul>
<li>A new chapter on the evidence-based approach that emphasizes the importance of reporting confidence intervals and effect sizes and the increased use of meta-analysis. </li> <li>An increased emphasis on evaluating research including an 8 step plan for evaluating research validity (Chs. 23 &amp; 24) and its application to the 5 sample studies used throughout the book (Ch. 25). </li> <li>Lots of practical advice on planning a research project (Ch. 2), data collection and coding (Ch. 15), writing the research report (Ch. 27), questions to use in evaluating a research article (Appendix E) and creating APA tables and figures (Appendix F). </li> <li>A new chapter on non-experimental approaches/designs (Ch. 7) including qualitative research. </li> <li>Web resources for students including critical thinking problems with answers and a sample outline of a research proposal. </li> <li>An earlier and expanded introduction to measurement reliability and validity to further emphasize their differences and importance. </li> <li>An extensively revised chapter on measurement validity consistent with the latest APA/AERA/NCME standards. </li> <li>Fewer chapters on inferential statistics with an increased focus on how their selection is related to the design of the study and how to interpret the results using significance testing and effect sizes and confidence intervals. </li> <li>Instructor’s Resources with Power Points, test questions, answers to the application questions, and more. </li> </ul> Intended for graduate research or quantitative/experimental methods/design courses in psychology, education, human development and family studies, and other behavioral, social, business, and health sciences, independent sections and chapters can be read in many orders allowing for flexibility in assigning topics. Due to its practical approach, this book also appeals to researchers and clinicians. Prior exposure to statistics and research methods is recommended.

Research Methods in Applied Settings: An Integrated Approach to Design and Analysis, Second Edition

Health, Fitness & Dieting

Psychology & Counseling

IBM SPSS for Introductory Statistics: Use and Interpretation, Fifth Edition

Designed to help students analyze and interpret research data using IBM SPSS, this user-friendly book, written in easy-to-understand language, shows readers how to choose the appropriate statistic based on the design, and to interpret outputs appropriately. The authors prepare readers for all of the steps in the research process: design, entering and checking data, testing assumptions, assessing reliability and validity, computing descriptive and inferential parametric and nonparametric statistics, and writing about outputs. Dialog windows and SPSS syntax, along with the output, are provided. Three realistic data sets, available on the Internet, are used to solve the chapter problems. The new edition features: <ul>
<li>Updated to IBM SPSS version 20 but the book can also be used with older and newer versions of SPSS. </li> <li>A new chapter (7) including an introduction to Cronbach’s alpha and factor analysis.</li> <li>Updated Web Resources with PowerPoint slides, additional activities/suggestions, and the answers to even-numbered interpretation questions for the instructors, and chapter study guides and outlines and extra SPSS problems for the students. The web resource is located www.routledge.com/9781848729827 .</li> <li>Students, instructors, and individual purchasers can access the data files to accompany the book at www.routledge.com/9781848729827 .</li>
</ul> IBM SPSS for Introductory Statistics, Fifth Edition provides helpful teaching tools: <ul>
<li>All of the key IBM SPSS windows needed to perform the analyses.</li> <li>Complete outputs with call-out boxes to highlight key points.</li> <li>Flowcharts and tables to help select appropriate statistics and interpret effect sizes.</li> <li>Interpretation sections and questions help students better understand and interpret the output. </li> <li>Assignments organized the way students proceed when they conduct a research project.</li> <li>Examples of how to write about outputs and make tables in APA format.</li> <li>Helpful appendices on how to get started with SPSS and write research questions. </li> </ul> An ideal supplement for courses in either statistics, research methods, or any course in which SPSS is used, such as in departments of psychology, education, and other social and health sciences. This book is also appreciated by researchers interested in using SPSS for their data analysis.

IBM SPSS for Introductory Statistics: Use and Interpretation, Sixth Edition

IBM SPSS for Introductory Statistics is designed to help students learn how to analyze and interpret research. In easy-to-understand language, the authors show readers how to choose the appropriate statistic based on the design, and to interpret outputs appropriately. There is such a wide variety of options and statistics in SPSS, that knowing which ones to use and how to interpret the outputs can be difficult. This book assists students with these challenges. Comprehensive and user-friendly, the book prepares readers for each step in the research process: design, entering and checking data, testing assumptions, assessing reliability and validity, computing descriptive and inferential parametric and nonparametric statistics, and writing about results. Dialog windows and SPSS syntax, along with the output, are provided. Several realistic data sets, available online, are used to solve the chapter problems. This new edition includes updated screenshots and instructions for IBM SPSS 25, as well as updated pedagogy, such as callout boxes for each chapter indicating crucial elements of APA style and referencing outputs. IBM SPSS for Introductory Statistics is an invaluable supplemental (or lab text) book for students. In addition, this book and its companion, IBM SPSS for Intermediate Statistics, are useful as guides/reminders to faculty and professionals regarding the specific steps to take to use SPSS and/or how to use and interpret parts of SPSS with which they are unfamiliar.

IBM SPSS for Intermediate Statistics

Designed to help readers analyze and interpret research data using IBM SPSS, this user-friendly book shows readers how to choose the appropriate statistic based on the design; perform intermediate statistics, including multivariate statistics; interpret output; and write about the results. The book reviews research designs and how to assess the accuracy and reliability of data; how to determine whether data meet the assumptions of statistical tests; how to calculate and interpret effect sizes for intermediate statistics, including odds ratios for logistic analysis; how to compute and interpret post-hoc power; and an overview of basic statistics for those who need a review. Unique chapters on multilevel linear modeling; multivariate analysis of variance (MANOVA); assessing reliability of data; multiple imputation; mediation, moderation, and canonical correlation; and factor analysis are provided. SPSS syntax with output is included for those who prefer this format. 
The new edition features: • IBM SPSS version 22; although the book can be used with most older and newer versions • New discusiion of intraclass correlations (Ch. 3) • Expanded discussion of effect sizes that includes confidence intervals of effect sizes (ch.5) • New information on part and partial correlations and how they are interpreted and a new discussion on backward elimination, another useful multiple regression method (Ch. 6) • New chapter on how to use a variable as a mediator or a moderator (ch. 7) • Revised chapter on multilevel and hierarchical linear modeling (ch. 12) • A new chapter (ch. 13) on multiple imputation that demonstrates how to deal with missing data • Updated web resources for instructors including PowerPoint slides and answers to interpretation questions and extra problems and for students, data sets, chapter outlines, and study guides. 
IBM SPSS for Intermediate Statistics, Fifth Edition provides helpful teaching tools: • all of the key SPSS windows needed to perform the analyses • outputs with call-out boxes to highlight key points • interpretation sections and questions to help students better understand and interpret the output • extra problems with realistic data sets for practice using intermediate statistics • Appendices on how to get started with SPSS, write research questions, and basic statistics. An ideal supplement for courses in either intermediate/advanced statistics or research methods taught in departments of psychology, education, and other social, behavioral, and health sciences. This book is also appreciated by researchers in these areas looking for a handy reference for SPSS

IBM SPSS for Intermediate Statistics: Use and Interpretation, Fifth Edition

Research Methods in Applied Settings: An Integrated Approach to Design and Analysis, Third Edition

This text teaches readers how to plan, conduct, and write a research project and select and interpret data through its integrated approach to quantitative research methods. Although not a statistics book, students learn to master which technique to use when and how to analyze and interpret results, making them better consumers of research. Organized around the steps of conducting a research project, this book is ideal for those who need to analyze journal articles. With teaching experience in various departments, the authors know how to address the research problems faced by behavioral and social sciences students. Independent sections and chapters can be read in any order allowing for flexibility in assigning topics. Adopters applaud the book’s clarity and applied interdependent approach to research. The book emphasizes five research approaches: randomized experimental, quasi-experimental, comparative, associational, and descriptive. These five approaches lead to three kinds of research designs which lead to three groups of statistics with the same names. This consistent framework increases comprehension while avoiding confusion caused by inconsistent terminology. Numerous examples, diagrams, tables, key terms, key distinctions, summaries, applied problems, interpretation questions, and suggested readings further promote understanding. This extensively revised edition features: <ul>
<li>More examples from published research articles to help readers better understand the research process.</li> <li>New Research in the Real World boxes that highlight actual research projects from various disciplines.</li> <li>Defined key terms in the margins and interpretation questions that help readers review the material.</li> <li>More detailed explanations of key concepts including reliability, validity, estimation, ethical and bias concerns, data security and assumptions, power analysis , and multiple and logistic regression.</li> <li>New sections on mediation and moderation analysis to address the latest techniques. </li> <li>More coverage of quasi-experimental design and qualitative research to reflect changing practices.</li> <li>A new appendix on how to write about results using APA guidelines to help new researchers.</li> <li>Online resources available at www.routledge.com/9781138852976 that provide instructors with PowerPoints, test questions, critical thinking exercises, a conversion guide, and answers to all of the book’s problems and questions. Students will find learning objectives, annotated links to further readings and key concepts, and key terms with links to definitions.</li> </ul> Intended for graduate research methods or design or quantitative/experimental research methods courses in psychology, education, human development, family studies, and other behavioral, social, and health sciences, some exposure to statistics and research methods is recommended.

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