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A Conceptual Guide to Statistics Using SPSS

A Conceptual Guide to Statistics Using SPSS Author Elliot T. Berkman
ISBN-10 9781412974066
Release 2011-04-12
Pages 296
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Bridging an understanding of Statistics and SPSS. This unique text helps students develop a conceptual understanding of a variety of statistical tests by linking the ideas learned in a statistics class from a traditional statistics textbook with the computational steps and output from SPSS. Each chapter begins with a student-friendly explanation of the concept behind each statistical test and how the test relates to that concept. The authors then walk through the steps to compute the test in SPSS and the output, clearly linking how the SPSS procedure and output connect back to the conceptual underpinnings of the test. By drawing clear connections between the theoretical and computational aspects of statistics, this engaging text aids students’ understanding of theoretical concepts by teaching them in a practical context.

Designing and Conducting Research in Health and Human Performance

Designing and Conducting Research in Health and Human Performance Author Tracey D. Matthews
ISBN-10 1118067118
Release 2011-06-28
Pages 352
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Designing and Conducting Research in Health and Human Performance shows students how to become effective producers and consumers of health and human performance research. The book provides comprehensive coverage of both quantitative and qualitative research methods and includes step-by-step guidance for writing effective research proposals and theses. In addition, the authors show how to read, assess, interpret, and apply published research and how to conduct basic studies in health, physical education, exercise science, athletic training, and recreation. Designing and Conducting Research in Health and Human Performance is filled with illustrative examples that emphasize the real-world applications of research methods. Throughout, the authors draw on a variety of examples that were selected because they provide a context to further the understanding of health and human performance research. Research to Practice examples and Tips are included by the authors to help students better appreciate the book's content. These study aids provide suggestions and additional resources to assist students in understanding the research process. Key Terms, defined and highlighted, enrich each chapter. Chapter Review Questions, designed to help students comprehend and follow best practices in research methods, close each chapter. Online resources and guides developed by the authors to support and enhance students' learning of important research concepts are available.

A Handbook of Applied Statistics in Pharmacology

A Handbook of Applied Statistics in Pharmacology Author Katsumi Kobayashi
ISBN-10 9781578087525
Release 2012-10-18
Pages 230
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Statistics plays an important role in pharmacology and related subjects such as toxicology and drug discovery and development. Improper statistical tool selection for analyzing the data obtained from studies may result in wrongful interpretation of the performance or safety of drugs. This book communicates statistical tools in simple language. The examples used are similar to those that scientists encounter regularly in their research area. The authors provide cognitive clues for selection of appropriate tools to analyze the data obtained from the studies and explain how to interpret the result of the statistical analysis.

An Introductory Guide to SPSS for Windows

An Introductory Guide to SPSS  for Windows Author Eric L. Einspruch
ISBN-10 1412904153
Release 2005-03-10
Pages 145
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Do you need to conduct data analysis with SPSS but are unfamiliar with the software? This user-friendly book helps you become proficient in SPSS by teaching you the fundamentals of SPSS. The Second Edition develops SPSS skills using sample programs illustrating how to conduct the analyses typically covered in an introductory statistics course. Throughout the book, data are analyzed and SPSS output are interpreted in the context of research questions. Boldface text is used to indicate operations or choices the reader will need to make when running SPSS. Exercises are also included, with solutions provided in the appendix. `I want to commend the author for including a chapter on using the SPSS manuals. I would not have thought of this addition, and the information helps the reader go on to learn the more complex components of SPSS′ - Laura Myers, University of Georgia This Second Edition has been updated to SPSS Version 12.0, although its approach makes it useful for readers running other versions. Each chapter in the updated text includes a statement of its purpose and goal, as well as a chapter glossary. The updated text includes new SPSS features, including how to recode data using the Visual Bander and how to read text data using the Text Import Wizard. Author Eric L. Einspruch thoroughly covers critical basic skills: * How to create data sets by defining and coding data, using a codebook, and entering data * How to run SPSS and work with different SPSS files * How to manipulate data by recoding values, computing values, and selecting subsets of cases to include in an analysis * How to manage data files by reading data that have been entered using other software, appending files, and merging files * How to analyze data using SPSS pull-down menus * How to analyze data using programs written in SPSS syntax This outstanding book concludes with a discussion of how to get help in SPSS, suggestions on how to make the most of SPSS manuals, and directions for taking the next steps toward software mastery.

Statistics for Evidence Based Practice and Evaluation

Statistics for Evidence Based Practice and Evaluation Author Allen Rubin
ISBN-10 9780495602897
Release 2009-03-23
Pages 360
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Written to address the particular needs of helping-professions students, Allen Rubin’s comprehensive and easy-to-read book provides a step-by-step guide to using statistics, from the evaluation of clinical interventions in a small agency, to how different procedures can be applied across different sorts of studies within the same practice setting. The author’s friendly, approachable style makes the subject of statistics highly accessible to students. A variety of practice illustrations are given both in the narrative as well as in the chapter ending exercise, lending flexibility to teaching approaches. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

SPSS for Windows Step by Step

SPSS for Windows Step by Step Author Darren George
ISBN-10 0205515851
Release 2007
Pages 386
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Are you confused by SPSS? Do you understand the concepts of statistics but struggle with the computer analysis? Are you tired of figuring out in hours what should only take you minutes? Or are you just looking for a straightforward, comprehensive reference for SPSS? "SPSS for Windows Step by Step: A Simple Guide and Reference," "14.0 Update" efficiently shows you how to perform the most common data analysis procedures in SPSS. The first part of the book explains the basics of creating and formatting a data set and includes a chapter on graphs that accommodates the changes in SPSS 14.0. Chapters 6-28 explain, step by step, the most common procedures in the Base System Module and the Advanced and Regression Modules. Each chapter is arranged in three parts: The "Introduction" explains the procedures that follow at the conceptual level, avoiding excessive detail and excessive emphasis on computation. "Step by Step" boxes and screenshots break down each procedure with clear references to tasks covered in previous chapters. "Outcome" sections explain the output of what you have just performed and define critical terms. All data sets used in this book are available for download on the companion website, saving you the time of entering data.

Statistics for Research

Statistics for Research Author George Argyrous
ISBN-10 1446245160
Release 2011-01-13
Pages 608
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This fully updated edition of Statistics for Research explains statistical concepts in a straight-forward and accessible way using practical examples from a variety of disciplines. If you're looking for an easy-to-read, comprehensive introduction to statistics with a guide to SPSS, this is the book for you! The new edition features: - Clear explanations of all the main techniques of statistical analysis - A brand new student-friendly, easy-to-navigate design - Even more step-by-step screenshots of SPSS commands and outputs - An extensive glossary of terms, ideal for those new to statistics - End of chapter exercises to help you put your learning into practice - A new, fully updated companion website ( with comprehensive student and lecturer resources including additional, discipline specific examples and online readings and WebCT/Blackboard quizzes. This is the ideal textbook for any course in statistical methods across the health and social sciences and a perfect starter book for students, researchers and professionals alike.

Discovering statistics using SPSS

Discovering statistics using SPSS Author Andy P. Field
ISBN-10 0761944516
Release 2005-05-24
Pages 779
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WINNER OF THE 2007 BRITISH PSYCHOLOGICAL SOCIETY BOOK AWARD 2007 'It is noteworthy that after I used some of the illustrations and mentioned the book in class, most students went and bought a copy. Their final papers were heavily "Field-referenced"! That is the best endorsement one can give to a text' - Journal of Advanced Nursing 'The wide range of statistical techniques covered combined with good accompanying background explanations, communicated in a relaxed, affable style, make this book a useful addition to the bookshelves of both practitioners and teachers of statistics alike in the social sciences' - Peter Watson, MRC Cognition and Brain Sciences Unit, Cambridge and Chair of ASSESS, Independent European Group of SPSS Users 'The Second Edition of Andy Field's Discovering Statistics Using SPSS is an excellent book and a valuable addition to the teaching of statistics in the behavioral sciences. The title of the book accurately reflects the approach taken. This is not simply a primer on how to use SPSS, but is a very good statistics text using SPSS as a vehicle for illustrating and expanding on the statistical content of the book. At the same time it also serves as a manual for SPSS, and has taught me things that I had not known about the software. One advantage of the text is that it is not tied specifically to the latest version of SPSS. Although the examples use version 12.0, there are many references to the difference the students will find if they are using an earlier version. A good example of how the text is structured can be seen in Chapters 8 and 9. Chapter 8 provides an introduction to the analysis of variance, and roughly the first 40 pages are devoted to statistical issues. Only after that introduction does the author move to a discussion of using SPSS to run the analyses. Chapter 9 deals with the analysis of covariance, and here the author moves almost immediately to SPSS printout, having laid most of the groundwork in the previous chapter. I find this flexible approach to the blending of content and software to be an effective way of teaching the material. It is impossible to review this book without commenting on Andy's particular style. I enjoyed it immensely and think that it would appeal to both students and their instructors. It is refreshing to see someone who doesn't take himself too seriously' - David C Howell, Professor Emeritus, University of Vermont 'The new edition of Field's textbook confirms its place as the best statistics text for undergraduate social science students. It provides support for those less confident about statistical analysis whilst having sufficient depth that it will still be valuable to more mathematically experienced people. There is a focus throughout on the practical aspects of data analysis and interpretation whilst at the same time emphasizing the importance of rigour and a good understating of theory essential reading' - Dr Ian Walker, Department of Psychology, University of Bath 'Very useful, valuable and interesting. Summing up: Highly recommended' - CHOICE, Current Reviews for Academic Librarians This new edition of Field's textbook provides students of statistical methods with everything they need to understand, use and report statistics - at every level. Written in Andy Field's vivid and entertaining style, and furnished with playful examples from everyday student life (among other places), the book forms an accessible gateway into the often intimidating world of statistics and a unique opportunity for students to ground their knowledge of statistics through the use of SPSS. The text is fully

SPSS introductory guide

SPSS introductory guide Author Marija J. Norušis
ISBN-10 UOM:39015011152892
Release 1982
Pages 173
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SPSS introductory guide has been writing in one form or another for most of life. You can find so many inspiration from SPSS introductory guide also informative, and entertaining. Click DOWNLOAD or Read Online button to get full SPSS introductory guide book for free.

Statistics for the Behavioral Sciences

Statistics for the Behavioral Sciences Author Frederick J. Gravetter
ISBN-10 9780495602200
Release 2009
Pages 783
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By far the best-selling introduction to statistics for students in the behavioral and social sciences, this text continues to offer straightforward instruction, accuracy, built-in learning aids, and real-world examples. The goal of STATISTICS FOR THE BEHAVIORAL SCIENCES, 8th Edition is to not only teach the methods of statistics, but also to convey the basic principles of objectivity and logic that are essential for science and valuable in everyday life. Authors Frederick Gravetter and Larry Wallnau help students understand statistical procedures through a conceptual context that explains why the procedures were developed and when they should be used. Students have numerous opportunities to practice statistical techniques through Learning Checks, examples, step-by-step Demonstrations, and problems. A strong ancillary package includes PowerLecture(tm), which contains lecture slides, JoinIn(tm) Student Response System content, and a computerized test bank; Enhanced WebAssign, a complete and easy-to-use homework management system; WebTutor(tm); an Instructor's Manual/TestBank, plus other online and print resources.

Nonparametric Statistics for Social and Behavioral Sciences

Nonparametric Statistics for Social and Behavioral Sciences Author M. Kraska-MIller
ISBN-10 9781466507623
Release 2013-12-09
Pages 260
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Incorporating a hands-on pedagogical approach, Nonparametric Statistics for Social and Behavioral Sciences presents the concepts, principles, and methods used in performing many nonparametric procedures. It also demonstrates practical applications of the most common nonparametric procedures using IBM’s SPSS software. This text is the only current nonparametric book written specifically for students in the behavioral and social sciences. Emphasizing sound research designs, appropriate statistical analyses, and accurate interpretations of results, the text: Explains a conceptual framework for each statistical procedure Presents examples of relevant research problems, associated research questions, and hypotheses that precede each procedure Details SPSS paths for conducting various analyses Discusses the interpretations of statistical results and conclusions of the research With minimal coverage of formulas, the book takes a nonmathematical approach to nonparametric data analysis procedures and shows students how they are used in research contexts. Each chapter includes examples, exercises, and SPSS screen shots illustrating steps of the statistical procedures and resulting output.

Exercising Essential Statistics

Exercising Essential Statistics Author Evan Berman
ISBN-10 9781483341934
Release 2011-11-14
Pages 192
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With new critical thinking questions, data-based exercises, tips on data presentation, and suggested reading lists, this workbook gets students comfortable applying each technique. Helpful software primers on SPSS and Excel provide essential skills. The workbook's CD includes seven data sets that cover a range of measures and applications (available in SPSS, SAS, SYSTAT, Stata, and Excel).

Applied Multivariate Statistics for the Social Sciences

Applied Multivariate Statistics for the Social Sciences Author Keenan A. Pituch
ISBN-10 9781317805915
Release 2015-12-07
Pages 814
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Now in its 6th edition, the authoritative textbook Applied Multivariate Statistics for the Social Sciences, continues to provide advanced students with a practical and conceptual understanding of statistical procedures through examples and data-sets from actual research studies. With the added expertise of co-author Keenan Pituch (University of Texas-Austin), this 6th edition retains many key features of the previous editions, including its breadth and depth of coverage, a review chapter on matrix algebra, applied coverage of MANOVA, and emphasis on statistical power. In this new edition, the authors continue to provide practical guidelines for checking the data, assessing assumptions, interpreting, and reporting the results to help students analyze data from their own research confidently and professionally. Features new to this edition include: NEW chapter on Logistic Regression (Ch. 11) that helps readers understand and use this very flexible and widely used procedure NEW chapter on Multivariate Multilevel Modeling (Ch. 14) that helps readers understand the benefits of this "newer" procedure and how it can be used in conventional and multilevel settings NEW Example Results Section write-ups that illustrate how results should be presented in research papers and journal articles NEW coverage of missing data (Ch. 1) to help students understand and address problems associated with incomplete data Completely re-written chapters on Exploratory Factor Analysis (Ch. 9), Hierarchical Linear Modeling (Ch. 13), and Structural Equation Modeling (Ch. 16) with increased focus on understanding models and interpreting results NEW analysis summaries, inclusion of more syntax explanations, and reduction in the number of SPSS/SAS dialogue boxes to guide students through data analysis in a more streamlined and direct approach Updated syntax to reflect newest versions of IBM SPSS (21) /SAS (9.3) A free online resources site at with data sets and syntax from the text, additional data sets, and instructor’s resources (including PowerPoint lecture slides for select chapters, a conversion guide for 5th edition adopters, and answers to exercises). Ideal for advanced graduate-level courses in education, psychology, and other social sciences in which multivariate statistics, advanced statistics, or quantitative techniques courses are taught, this book also appeals to practicing researchers as a valuable reference. Pre-requisites include a course on factorial ANOVA and covariance; however, a working knowledge of matrix algebra is not assumed.

The Psychology Research Handbook

The Psychology Research Handbook Author Frederick T. L. Leong
ISBN-10 9780761930228
Release 2006
Pages 516
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A comprehensive, easy-to-understand guide to the entire research process, this book quickly and efficiently equips advanced students and research assistants to conduct a full-scale investigation. The book is organized around the idea of a 'research script' that is, it follows the standard mode of research planning and design, data collection and analysis, and results writing. The volume contains 35 chapters, some co-authored by advanced graduate students who give their fellow students a touch of the 'real world' adding to the clarity and practicality of many chapters.

Basic Statistics in Multivariate Analysis

Basic Statistics in Multivariate Analysis Author Karen A. Randolph
ISBN-10 9780199982141
Release 2013-01-24
Pages 256
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The complexity of social problems necessitates that social work researchers understand and apply multivariate statistical methods in their investigations. In this pocket guide, the authors introduce readers to three of the more frequently used multivariate methods in social work research with an emphasis on basic statistics. The primary aim is to prepare entry-level doctoral students and early career social work researchers in the use of multivariate methods by providing an easy-to-understand presentation, building on the basic statistics that inform them. The pocket guide begins with a review of basic statistics, hypothesis testing with inferential statistics, and bivariate analytic methods. Subsequent sections describe bivariate and multiple linear regression analyses, one-way and two-way analysis of variance (ANOVA) and covariance (ANCOVA), and path analysis. In each chapter, the authors introduce the various basic statistical procedures by providing definitions, formulas, descriptions of the underlying logic and assumptions of each procedure, and examples of how they have been used in social work research literature, particularly with diverse populations. They also explain estimation procedures and how to interpret results. The multivariate chapters conclude with brief step-by-step instructions for conducting multiple regression analysis and one-way ANOVA in Statistical Package for the Social Sciences (SPSS), and path analysis in Amos, using data from the National Educational Longitudinal Study of 1988 (NELS: 88). As an additional supplement, the book offers a companion website that provides more detailed instructions, as well as data sets and worked examples.

The Reviewer s Guide to Quantitative Methods in the Social Sciences

The Reviewer   s Guide to Quantitative Methods in the Social Sciences Author Gregory R. Hancock
ISBN-10 9781135172992
Release 2010-04-26
Pages 448
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The Reviewer’s Guide is designed for reviewers of research manuscripts and proposals in the social and behavioral sciences, and beyond. Its uniquely structured chapters address traditional and emerging quantitative methods of data analysis.

Multivariate Analysis for the Biobehavioral and Social Sciences

Multivariate Analysis for the Biobehavioral and Social Sciences Author Bruce L. Brown
ISBN-10 9781118131619
Release 2011-11-01
Pages 496
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An insightful guide to understanding and visualizing multivariate statistics using SAS®, STATA®, and SPSS® Multivariate Analysis for the Biobehavioral and Social Sciences: A Graphical Approach outlines the essential multivariate methods for understanding data in the social and biobehavioral sciences. Using real-world data and the latest software applications, the book addresses the topic in a comprehensible and hands-on manner, making complex mathematical concepts accessible to readers. The authors promote the importance of clear, well-designed graphics in the scientific process, with visual representations accompanying the presented classical multivariate statistical methods . The book begins with a preparatory review of univariate statistical methods recast in matrix notation, followed by an accessible introduction to matrix algebra. Subsequent chapters explore fundamental multivariate methods and related key concepts, including: Factor analysis and related methods Multivariate graphics Canonical correlation Hotelling's T-squared Multivariate analysis of variance (MANOVA) Multiple regression and the general linear model (GLM) Each topic is introduced with a research-publication case study that demonstrates its real-world value. Next, the question "how do you do that?" is addressed with a complete, yet simplified, demonstration of the mathematics and concepts of the method. Finally, the authors show how the analysis of the data is performed using Stata®, SAS®, and SPSS®. The discussed approaches are also applicable to a wide variety of modern extensions of multivariate methods as well as modern univariate regression methods. Chapters conclude with conceptual questions about the meaning of each method; computational questions that test the reader's ability to carry out the procedures on simple datasets; and data analysis questions for the use of the discussed software packages. Multivariate Analysis for the Biobehavioral and Social Sciences is an excellent book for behavioral, health, and social science courses on multivariate statistics at the graduate level. The book also serves as a valuable reference for professionals and researchers in the social, behavioral, and health sciences who would like to learn more about multivariate analysis and its relevant applications.