Social Science Research Design and Statistics

A Practitioner's Guide to Research Methods and IBM SPSS

Author: Alfred P. Rovai,Jason D. Baker,Michael K. Ponton

Publisher: Watertree Press LLC

ISBN: 0978718682

Category: Computers

Page: 556

View: 651

This book integrates social science research methods and the descriptions of over 40 univariate, bivariate, and multivariate tests to include a description of the purpose, key assumptions and requirements, example research question and null hypothesis, SPSS procedures, display and interpretation of SPSS output, and what to report for each test. It is classroom tested and current with IBM SPSS 22. This expanded second edition also features companion website materials including copies of the IBM SPSS datasets used to create the SPSS output presented in the book, and Microsoft PowerPoint presentations that display step-by-step instructions on how to run popular SPSS procedures. Included throughout the book are various sidebars highlighting key points, images and SPSS screenshots to assist understanding the material presented, self-test reviews at the end of each chapter, a decision tree to facilitate identification of the proper statistical test, examples of SPSS output with accompanying analysis and interpretations, links to relevant web sites, and a comprehensive glossary. Underpinning all these features is a concise, easy to understand explanation of the material.

Social Science Research Design and Statistics

A Practitioner's Guide to Research Methods and SPSS Analysis

Author: Alfred P. Rovai,Jason D. Baker,Michael K. Ponton

Publisher: Watertree Press LLC

ISBN: 9780978718671

Category: Social Science

Page: 540

View: 2977

This book integrates social science research methods and the descriptions of 46 univariate, bivariate, and multivariate tests to include a description of the purpose, assumptions, example research question and hypothesis, SPSS procedure, and interpretation of SPSS output for each test. Included throughout the book are various sidebars highlighting key points, images and SPSS screenshots to assist understanding the material presented, self-test reviews at the end of each chapter, a decision tree to facilitate identification of the proper statistical test, examples of SPSS output with accompanying analysis and interpretations, links to relevant web sites, and a comprehensive glossary. Underpinning all these features is a concise, easy to understand explanation of the material.

Performing Data Analysis Using IBM SPSS

Author: Lawrence S. Meyers,Glenn C. Gamst,A. J. Guarino

Publisher: John Wiley & Sons

ISBN: 1118357019

Category: Computers

Page: 736

View: 638

Each chapter of Performing Data Analysis Using IBM SPSS covers a particular statistical procedure and offers the following: an example problem or analysis goal, together with a data set; IBM SPSS analysis with step-by-step analysis setup and accompanying screen shots; and IBM SPSS output with screen shots and narrative on how to read or interpret the results of the analysis.

Single-case and Small-n Experimental Designs

A Practical Guide To Randomization Tests, Second Edition

Author: Pat Dugard,Portia File,Jonathan Todman

Publisher: Taylor & Francis

ISBN: 1136588477

Category: Psychology

Page: 304

View: 4629

This practical guide explains the use of randomization tests and provides example designs and macros for implementation in IBM SPSS and Excel. It reviews the theory and practice of single-case and small-n designs so readers can draw valid causal inferences from small-scale clinical studies. The macros and example data are provided on the book’s website so that users can run analyses of the text data as well as data from their own studies. The new edition features: More explanation as to why randomization tests are useful and how to apply them. More varied and expanded examples that demonstrate the use of these tests in education, clinical work and psychology. A website with the macros and datasets for all of the text examples in IBM SPSS and Excel. Exercises at the end of most chapters that help readers test their understanding of the material. A new glossary that defines the key words that appear in italics when they are first introduced. A new appendix that reviews the basic skills needed to do randomization tests. New appendices that provide annotated SPSS and Excel macros to help readers write their own or tinker with the ones provided in the book. The book opens with an overview of single case and small n designs -- why they are needed and how they differ from descriptive case studies. Chapter 2 focuses on the basic concepts of randoization tests. Next how to choose and implement a randomization design is reviewed including material on how to perform the randomizations, how to select the number of observations, and how to record the data. Chapter 5 focuses on how to analyze the data including how to use the macros and understand the results. Chapter 6 shows how randomization tests fit into the body of statistical inference. Chapter 7 discusses size and power. The book concludes with a demonstration of how to edit or modify the macros or use parts of them to write your own. Ideal as a text for courses on single-case, small n design, and/or randomization tests taught at the graduate level in psychology (especially clinical, counseling, educational, and school), education, human development, nursing, and other social and health sciences, this inexpensive book also serves as a supplement in statistics or research methods courses. Practitioners and researchers with an applied clinical focus also appreciate this book’s accessible approach. An introduction to basic statistics, SPSS, and Excel is assumed.

Multilevel and Longitudinal Modeling with IBM SPSS

Author: Ronald H. Heck,Scott L. Thomas,Lynn N. Tabata

Publisher: Routledge

ISBN: 1135074240

Category: Psychology

Page: 462

View: 1551

This book demonstrates how to use multilevel and longitudinal modeling techniques available in the IBM SPSS mixed-effects program (MIXED). Annotated screen shots provide readers with a step-by-step understanding of each technique and navigating the program. Readers learn how to set up, run, and interpret a variety of models. Diagnostic tools, data management issues, and related graphics are introduced throughout. Annotated syntax is also available for those who prefer this approach. Extended examples illustrate the logic of model development to show readers the rationale of the research questions and the steps around which the analyses are structured. The data used in the text and syntax examples are available at www.routledge.com/9780415817110. Highlights of the new edition include: Updated throughout to reflect IBM SPSS Version 21. Further coverage of growth trajectories, coding time-related variables, covariance structures, individual change and longitudinal experimental designs (Ch.5). Extended discussion of other types of research designs for examining change (e.g., regression discontinuity, quasi-experimental) over time (Ch.6). New examples specifying multiple latent constructs and parallel growth processes (Ch. 7). Discussion of alternatives for dealing with missing data and the use of sample weights within multilevel data structures (Ch.1). The book opens with the conceptual and methodological issues associated with multilevel and longitudinal modeling, followed by a discussion of SPSS data management techniques which facilitate working with multilevel, longitudinal, and cross-classified data sets. Chapters 3 and 4 introduce the basics of multilevel modeling: developing a multilevel model, interpreting output, and trouble-shooting common programming and modeling problems. Models for investigating individual and organizational change are presented in chapters 5 and 6, followed by models with multivariate outcomes in chapter 7. Chapter 8 provides an illustration of multilevel models with cross-classified data structures. The book concludes with ways to expand on the various multilevel and longitudinal modeling techniques and issues when conducting multilevel analyses. Ideal as a supplementary text for graduate courses on multilevel and longitudinal modeling, multivariate statistics, and research design taught in education, psychology, business, and sociology, this book’s practical approach also appeals to researchers in these fields. The book provides an excellent supplement to Heck & Thomas’s An Introduction to Multilevel Modeling Techniques, 2nd Edition; however, it can also be used with any multilevel and/or longitudinal modeling book or as a stand-alone text.

Repeated Measures Design for Empirical Researchers

Author: J. P. Verma

Publisher: John Wiley & Sons

ISBN: 1119052718

Category: Mathematics

Page: 288

View: 7844

Introduces the applications of repeated measures design processes with the popular IBM® SPSS® software Repeated Measures Design for Empirical Researchers presents comprehensive coverage of the formation of research questions and the analysis of repeated measures using IBM SPSS and also includes the solutions necessary for understanding situations where the designs can be used. In addition to explaining the computation involved in each design, the book presents a unique discussion on how to conceptualize research problems as well as identify appropriate repeated measures designs for research purposes. Featuring practical examples from a multitude of domains including psychology, the social sciences, management, and sports science, the book helps readers better understand the associated theories and methodologies of repeated measures design processes. The book covers various fundamental concepts involved in the design of experiments, basic statistical designs, computational details, differentiating independent and repeated measures designs, and testing assumptions. Along with an introduction to IBM SPSS software, Repeated Measures Design for Empirical Researchers includes: A discussion of the popular repeated measures designs frequently used by researchers, such as one–way repeated measures ANOVA, two–way repeated measures design, two–way mixed design, and mixed design with two–way MANOVA Coverage of sample size determination for the successful implementation of designing and analyzing a repeated measures study A step–by–step guide to analyzing the data obtained with real–world examples throughout to illustrate the underlying advantages and assumptions A companion website with supplementary IBM SPSS data sets and programming solutions as well as additional case studies Repeated Measures Design for Empirical Researchers is a useful textbook for graduate– and PhD–level students majoring in biostatistics, the social sciences, psychology, medicine, management, sports, physical education, and health. The book is also an excellent reference for professionals interested in experimental designs and statistical sciences as well as statistical consultants and practitioners from other fields including biological, medical, agricultural, and horticultural sciences. J. P. Verma, PhD, is Professor of Statistics and Director of the Center for Advanced Studies at Lakshmibai National Institute of Physical Education, India. Professor Verma is an active researcher in sports modeling and data analysis and has conducted many workshops on research methodology, research designs, multivariate analysis, statistical modeling, and data analysis for students of management, physical education, social science, and economics. He is the author of Statistics for Exercise Science and Health with Microsoft® Office Excel®, also published by Wiley.

Research Methods and Statistics for Public and Nonprofit Administrators

A Practical Guide

Author: Masami Nishishiba,Matthew Jones,Mariah Kraner

Publisher: SAGE Publications

ISBN: 1483321460

Category: Political Science

Page: 392

View: 8123

Research Methods and Statistics for Public and Nonprofit Administrators: A Practical Guide is a comprehensive, easy-to-read, core text that thoroughly prepares readers to apply research methods and data analysis to the professional environments of public and non-profit administration. The authors expertly incorporate original case examples to demonstrate concepts using “real actors,” facing specific scenarios, in which research methods must be applied. This unique approach—presented in language accessible to both students new to research as well as current practitioners—guides the reader in fully understanding the research options detailed throughout the text.

The Relationship Between Knowledge Transfer, Team Learning, and Project Success in the Information Technology Field

Author: Dixie D. O’Connell Overton, PhD

Publisher: Xlibris Corporation

ISBN: 1543483526

Category: Technology & Engineering

Page: 198

View: 9509

Project management is a growing field, and is expanding to more industries; however, it still faces the same challenges it did decades ago. There is a lack of understanding and recognition of how knowledge is shared and how knowledge sharing can help project teams accomplish successful outcomes. Without knowledge transfer and sharing, organizations fail to continue practices that worked well and fail to discontinue those that resulted in errors or rework. The research presented in this book builds on the theories of organizational learning, knowledge management, and dynamic capabilities. Data was obtained through a quantitative survey from project professionals working on information technology (IT) projects in the United States. The goal of this study was to gain an understanding of the influence of knowledge transfer in IT projects that contributes to project success. Results and conclusions should be of benefit to project managers in all industries.

The Practice of Research in Criminology and Criminal Justice

Author: Ronet D. Bachman,Russell K. Schutt

Publisher: SAGE Publications

ISBN: 1506306837

Category: Social Science

Page: 544

View: 4242

The Practice of Research in Criminology and Criminal Justice, Sixth Edition continues to demonstrate the vital role research plays by integrating in-depth, real-world case studies with a comprehensive discussion of research methods. By pairing research techniques with practical examples from the field, Ronet D. Bachman and Russell K. Schutt equip students to evaluate and conduct research. Covering research findings from critical areas in criminal justice, such as police use of force, cybercrime, and race, this text helps students understand the importance of research, not just the process. The Sixth Edition of this best-selling text retains the strengths of previous editions while breaking ground with emergent research methods, enhanced tools for learning in the text and online, and contemporary, fascinating research findings. Students engage with the wide realm of new research methods available to them, delve deeper into topics relevant to their field of study, and benefit from the wide variety of new exercises to help them practice as they learn.

The SAGE Encyclopedia of Qualitative Research Methods

Author: Lisa M. Given

Publisher: SAGE Publications

ISBN: 1452265895

Category: Social Science

Page: 1072

View: 1625

Qualitative research is designed to explore the human elements of a given topic, while specific qualitative methods examine how individuals see and experience the world. Qualitative approaches are typically used to explore new phenomena and to capture individuals' thoughts, feelings, or interpretations of meaning and process. Such methods are central to research conducted in education, nursing, sociology, anthropology, information studies, and other disciplines in the humanities, social sciences, and health sciences. Qualitative research projects are informed by a wide range of methodologies and theoretical frameworks. The SAGE Encyclopedia of Qualitative Research Methods presents current and complete information as well as ready-to-use techniques, facts, and examples from the field of qualitative research in a very accessible style. In taking an interdisciplinary approach, these two volumes target a broad audience and fill a gap in the existing reference literature for a general guide to the core concepts that inform qualitative research practices. The entries cover every major facet of qualitative methods, including access to research participants, data coding, research ethics, the role of theory in qualitative research, and much more—all without overwhelming the informed reader. Key Features Defines and explains core concepts, describes the techniques involved in the implementation of qualitative methods, and presents an overview of qualitative approaches to research Offers many entries that point to substantive debates among qualitative researchers regarding how concepts are labeled and the implications of such labels for how qualitative research is valued Guides readers through the complex landscape of the language of qualitative inquiry Includes contributors from various countries and disciplines that reflect a diverse spectrum of research approaches from more traditional, positivist approaches, through postmodern, constructionist ones Presents some entries written in first-person voice and others in third-person voice to reflect the diversity of approaches that define qualitative work Key Themes Approaches and Methodologies Arts-Based Research, Ties to Computer Software Data Analysis Data Collection Data Types and Characteristics Dissemination History of Qualitative Research Participants Quantitative Research, Ties to Research Ethics Rigor Textual Analysis, Ties to Theoretical and Philosophical Frameworks The SAGE Encyclopedia of Qualitative Research Methods is designed to appeal to undergraduate and graduate students, practitioners, researchers, consultants, and consumers of information across the social sciences, humanities, and health sciences, making it a welcome addition to any academic or public library.

Understanding The New Statistics

Effect Sizes, Confidence Intervals, and Meta-Analysis

Author: Geoff Cumming

Publisher: Routledge

ISBN: 1136659188

Category: Psychology

Page: 536

View: 4945

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.

A Concise Guide to Market Research

The Process, Data, and Methods Using IBM SPSS Statistics

Author: Marko Sarstedt,Erik Mooi

Publisher: Springer

ISBN: 3642539653

Category: Business & Economics

Page: 347

View: 8907

This accessible, practice-oriented and compact text provides a hands-on introduction to market research. Using the market research process as a framework, it explains how to collect and describe data and presents the most important and frequently used quantitative analysis techniques, such as ANOVA, regression analysis, factor analysis and cluster analysis. The book describes the theoretical choices a market researcher has to make with regard to each technique, discusses how these are converted into actions in IBM SPSS version 22 and how to interpret the output. Each chapter concludes with a case study that illustrates the process using real-world data. A comprehensive Web appendix includes additional analysis techniques, datasets, video files and case studies. Tags in the text allow readers to quickly access Web content with their mobile device. The new edition features: Stronger emphasis on the gathering and analysis of secondary data (e.g., internet and social networking data) New material on data description (e.g., outlier detection and missing value analysis) Improved use of educational elements such as learning objectives, keywords, self-assessment tests, case studies, and much more Streamlined and simplified coverage of the data analysis techniques with more rules-of-thumb Uses IBM SPSS version 22

The Influence of Information Order Effects and Trait Professional Skepticism on Auditors’ Belief Revisions

A Theoretical and Empirical Analysis

Author: Kristina Yankova

Publisher: Springer

ISBN: 3658088710

Category: Business & Economics

Page: 302

View: 9935

Kristina Yankova addresses the question of what role professional skepticism plays in the context of cognitive biases (the so-called information order effects) in auditor judgment. Professional skepticism is a fundamental concept in auditing. Despite its immense importance to audit practice and the voluminous literature on this issue, professional skepticism is a topic which still involves more questions than answers. The work provides important theoretical and empirical insights into the behavioral implications of professional skepticism in auditing.

Distance Learning in Higher Education

A Programmatic Approach to Planning, Design, Instruction, Evaluation, and Accreditation

Author: Alfred P. Rovai

Publisher: N.A

ISBN: N.A

Category: Education

Page: 212

View: 4236

This useful resource describes best practices for designing online programs and courses. Translating research on the learning characteristics of adult university students and their experiences with online learning into practical guidelines, the authors address topics such as: program and course planning, design and delivery; multicultural and gender issues; program evaluation; student evaluation of online teaching, and institutional and program accreditation. The text includes resources such as online course materials and assessment tasks that are culturally responsive and implement the strategies presented in the book. Providing a roadmap for those wishing to design and implement a distance learning program, this up-to-date volume: explains how to facilitate and moderate interactions using a constructivist approach; presents strategies that respond to race- and gender-related challenges; provides a model for evaluating distance education programs; and identifies strategies that promote valid and reliable evaluations of online teaching.

Research Methods in Practice

Strategies for Description and Causation

Author: Dahlia K. Remler,Gregg G. Van Ryzin

Publisher: SAGE Publications

ISBN: 1483323587

Category: Social Science

Page: 648

View: 2449

The Second Edition of Research Methods in Practice: Strategies for Description and Causation sets an entirely new standard for presenting and learning research methods. The perspective gained from this text makes it a truly necessary tool for such applied disciplines as public affairs and administration, public policy, psychology, urban affairs, education, sociology, social work, business, public health, political science, economics, communications and criminal justice. Imbued with a deep commitment to make social and policy research methods accessible and meaningful, the Second Edition of Research Methods in Practice: Strategies for Description and Causation compels and inspires students to truly grasp the logic—and limits—of the latest research appearing in academic journals, government reports, and the media. Authors Dahlia K. Remler and Gregg G. Van Ryzin cover the most pertinent issues and methods, emphasizing the critical interpretation and practical application of research findings. Both causation and description—and the distinction between them—are emphasized and maintained thematically throughout the text. Concepts are taught through in-depth examples, such as “Fighting Malaria in Kenya,” “The U.S. Poverty Measure,” “The Fallout from Hurricane Katrina,” “Family Dinners and Teenage Substance Abuse,” and “The Effect of Poverty on Mental Health.” The realistic trade-offs, uncertainties, habits, and excitement of the research experience come through on every page. “This is the best text available for teaching students the fundamentals of research design and statistics, and for introducing them to the difficulties inherent in evaluation research and causal inference.” —Dave E. Marcotte, University of Maryland, Baltimore County

Quantitative Research Methods for Professionals

Author: W. Paul Vogt

Publisher: Allyn & Bacon

ISBN: 9780205359134

Category: Education

Page: 334

View: 9283

This concise text discusses a wide range of quantitative research methods, including advanced techniques such as logic regression, multilevel modeling, and structural equation modeling. Because the text emphasizes concepts rather than mathematics and computational formulas, it is accessible to a wide range of research users, Professional practitioners in areas such as education, business, social work, and psychology gain an understanding of research methods, enabling them to interpret advanced research in their fields. Features: -Accessibility to readers of any level, including those with no mathematics beyond elementary arithmetic and a limited background in research methods and statistics, as text discusses advanced methods with ease. -Three part organization-The Basics, Advanced Methods, and Specialized Applications-provides instructors the flexibility to choose among advanced techniques and specialized applications. -Real data is used to illustrate and compare the uses of analytic techniques. Students are provided with the data sets so they can use a statistical package to try out the techniques on their own. -Integrated discussions of design and measurement as well as analysis provide students with a complete picture of the entire research process. -Helpful and thoughtful discussion questions help instructors and students probe subjects more deeply and apply the chapters' concepts to topics of particular interest to them. -An informative self-test comprised of multiple-choice and true-false questions concludes each chapter. -An online Instructor's Manual contains discussion of self-test questions and their answers, as well as hundreds of additional field-tested test questions that instructors may use for their examinations. Package this text with [ MyLabSchool Logo ] and Research Navigator-a powerful set of online tools that bring the classroom to life! Visit www.mylabschool.com for more information!

Methods for Development Work and Research

A New Guide for Practitioners

Author: Britha Mikkelsen

Publisher: SAGE Publications India

ISBN: 8132102037

Category: Business & Economics

Page: 384

View: 2419

Praise for the First Edition: `It is a guide of vital importance to researchers, trainers and extension workers, especially those collaborating with communities in developing countries' - European Journal of Development Research `There is much of value here that even experienced development workers might learn from…. Mikkelsen offers many insights that would be valuable to any economist undertaking field work in development' - The Australian Journal of Agricultural Economics `An enthusiastic, vibrant supplement to methodology texts…. The formulation is concise, comprehensive, yet substantial' - Business Line `Development researchers will be grateful to Mikkelsen for her laudable job in competently assessing their needs…. She provides an overview of the traditional and the new techniques and tools for field study' - Deccan Herald This completely revised version of the successful 1995 text covers a wide range of issues relating to research concepts and methods. It incorporates new lessons that have been learned regarding the merits and pitfalls of development work. Reflecting on how and why research in international development work has become a special case within the social sciences, this book provides innovative examples of participatory methods in action; methodological guidance on linking research purpose, questions and methods in qualitative and quantitative research; highlights new methods for development work and research like the Rights-based Approach, Appreciative Inquiry, the Social Capital Analysis Tool and Geomatics; emphasizes the gender perspective in development work; and discusses ethics, regulations and codes of conduct, as well as the question of encounters with `other` cultures.

Quantitative Data Analysis with IBM SPSS 17, 18 & 19

A Guide for Social Scientists

Author: Alan Bryman,Duncan Cramer

Publisher: Routledge

ISBN: 1136588892

Category: Psychology

Page: 408

View: 5838

This latest edition has been fully updated to accommodate the needs of users of SPSS Releases 17, 18 and 19 while still being applicable to users of SPSS Releases 15 and 16. As with previous editions, Alan Bryman and Duncan Cramer continue to offer a comprehensive and user-friendly introduction to the widely used IBM SPSS Statistics. The simple, non-technical approach to quantitative data analysis enables the reader to quickly become familiar with SPSS and with the tests available to them. No previous experience of statistics or computing is required as this book provides a step-by-step guide to statistical techniques, including: Non-parametric tests Correlation Simple and multiple regression Analysis of variance and covariance Factor analysis. This book comes equipped with a comprehensive range of exercises for further practice, and it covers key issues such as sampling, statistical inference, conceptualization and measurement and selection of appropriate tests. The authors have also included a helpful glossary of key terms. The data sets used in Quantitative Data Analysis with IBM SPSS 17, 18 and 19 are available online at http://www.routledgetextbooks.com/textbooks/_author/bryman-9780415579193/; in addition, a set of multiple-choice questions and a chapter-by-chapter PowerPoint lecture course are available free of charge to lecturers who adopt the book.

Social Science Research

Principles, Methods, and Practices

Author: Anol Bhattacherjee

Publisher: CreateSpace

ISBN: 9781475146127

Category: Science

Page: 156

View: 5780

This book is designed to introduce doctoral and graduate students to the process of conducting scientific research in the social sciences, business, education, public health, and related disciplines. It is a one-stop, comprehensive, and compact source for foundational concepts in behavioral research, and can serve as a stand-alone text or as a supplement to research readings in any doctoral seminar or research methods class. This book is currently used as a research text at universities on six continents and will shortly be available in nine different languages.

Discovering Statistics Using IBM SPSS Statistics

North American Edition

Author: Andy Field

Publisher: SAGE

ISBN: 152644030X

Category: Social Science

Page: 816

View: 1859

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 throughout. SAGE edge offers a robust online environment featuring an impressive array of free tools and resources for review, study, and further exploration, keeping both instructors and students on the cutting edge of teaching and learning. Course cartridges available for Blackboard and Moodle. Learn more at edge.sagepub.com/field5e Stay Connected Connect with us on Facebook and share your experiences with Andy's texts, check out news, access free stuff, see photos, watch videos, learn about competitions, and much more. Video Links Go behind the scenes and learn more about the man behind the book at Andy's YouTube channel Andy Field is the award winning author of An Adventure in Statistics: The Reality Enigma and is the recipient of the UK National Teaching Fellowship (2010), British Psychological Society book award (2006), and has been recognized with local and national teaching awards (University of Sussex, 2015, 2016).