Using SPSS for Windows and Macintosh

Author: Samuel B. Green,Neil J. Salkind

Publisher: Pearson

ISBN: 0134416414

Category: Mathematics

Page: 448

View: 3084

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This is the eBook of the printed book and may not include any media, website access codes, or print supplements that may come packaged with the bound book. For courses in Political and Social Statistics Using the popular SPSS software to de-mystify statistics Using SPSS for Windows and Macintosh guides students through basic SPSS techniques, using step-by-step descriptions and explaining in detail how to avoid common pitfalls in the study of statistics. Authors Samuel Green and Neil Salkind provide extensive substantive information about each statistical technique, including a brief discussion of the technique, examples of how the statistic is applied, a sample data set that can be analyzed with the statistic, a discussion of the analysis results, practice exercises, and more. The Eighth Edition has been updated for SPSS version 23 (Windows/Mac), and now offers added accessibility and increased problem solving. NOTE: This ISBN is for a Pearson Books a la Carte edition: a convenient, three-hole-punched, loose-leaf text. In addition to the flexibility offered by this format, Books a la Carte editions offer students great value, as they cost significantly less than a bound textbook.

Statistical Methods for Psychology

Author: David C. Howell

Publisher: Cengage Learning

ISBN: 1111835489

Category: Psychology

Page: 792

View: 5783

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STATISTICAL METHODS FOR PSYCHOLOGY surveys the statistical techniques commonly used in the behavioral and social sciences, particularly psychology and education. To help students gain a better understanding of the specific statistical hypothesis tests that are covered throughout the text, author David Howell emphasizes conceptual understanding. This Eighth Edition continues to focus students on two key themes that are the cornerstones of this book's success: the importance of looking at the data before beginning a hypothesis test, and the importance of knowing the relationship between the statistical test in use and the theoretical questions being asked by the experiment. New and expanded topics--reflecting the evolving realm of statistical methods--include effect size, meta-analysis, and treatment of missing data. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

Applied Statistics

From Bivariate Through Multivariate Techniques

Author: Rebecca M. Warner

Publisher: SAGE Publications

ISBN: 148330597X

Category: Social Science

Page: 1208

View: 9107

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Rebecca M. Warner's Applied Statistics: From Bivariate Through Multivariate Techniques, Second Edition provides a clear introduction to widely used topics in bivariate and multivariate statistics, including multiple regression, discriminant analysis, MANOVA, factor analysis, and binary logistic regression. The approach is applied and does not require formal mathematics; equations are accompanied by verbal explanations. Students are asked to think about the meaning of equations. Each chapter presents a complete empirical research example to illustrate the application of a specific method. Although SPSS examples are used throughout the book, the conceptual material will be helpful for users of different programs. Each chapter has a glossary and comprehension questions.

Using Statistics to Make Educational Decisions

Author: David Tanner

Publisher: SAGE

ISBN: 1412969778

Category: Education

Page: 523

View: 1335

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Government scrutiny and intensified oversight have dramatically changed the landscape of education in recent years. Observers want to know how schools compare, which district is best, which states are spending the most per student on education, whether reforms are making a difference, and why so many students are failing. Some of these questions require technical answers that educators historically redirected to outside experts, but the questions leveled at all educators have become so acute and persistent that they can no longer be outsourced. This text helps educators develop the tools and the conceptual understanding needed to provide definitive answers to difficult statistical questions facing education today.

SPSS for Psychologists

Author: Nicola Brace,Rosemary Snelgar,Richard Kemp

Publisher: Macmillan International Higher Education

ISBN: 1137014415

Category: Psychology

Page: 488

View: 5743

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With over 50,000 copies sold, this is the indispensable guide to SPSS. With its student-friendly layout, accessible style and unbeatable coverage, it provides you with a step-by-step tour and equips you with the knowledge you need to succeed in your degree. Written especially for psychology students, this book shows you how to get the most out of SPSS, and will be an essential resource no matter what your level of study is. Key features of the new edition: - Fully updated to cover SPSS version 20 and backward-compatible with other versions - New material on bivariate (simple) regression and expanded coverage of multiple regression - Two new SPSS data files for several complex statistical inferential tests - New 'how to report results' boxes guide students through their findings - Accessible layout and writing style, perfect for students In addition, a number of sample exercises, datasets and other useful resources can be found at www.palgrave.com/psychology/brace

Research Design Explained

Author: Mark L. Mitchell,Janina M. Jolley

Publisher: Cengage Learning

ISBN: 1133713009

Category: Psychology

Page: 752

View: 2147

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RESEARCH DESIGN EXPLAINED, Eighth Edition helps students appreciate the excitement of science research and its relevance to psychology by explaining concepts clearly and using real-life analogies and examples. Focusing on important, fundamental concepts and demonstrating the logic behind research design, authors Mitchell and Jolley help students go beyond simply memorizing terms to develop a true understanding of research design. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

Statistical Reasoning in the Behavioral Sciences

Author: Bruce M. King,Patrick J. Rosopa,Edward W. Minium

Publisher: John Wiley and Sons

ISBN: 1118137485

Category: Psychology

Page: 496

View: 8541

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Cited by more than 300 scholars, Statistical Reasoning in the Behavioral Sciences continues to provide streamlined resources and easy-to-understand information on statistics in the behavioral sciences and related fields, including psychology, education, human resources management, and sociology. The sixth edition includes new information about the use of computers in statistics and offers screenshots of IBM SPSS (formerly SPSS) menus, dialog boxes, and output in selected chapters without sacrificing any of the conceptual logic and the statistical formulas needed to facilitate understanding. The example problems have been updated to reflect more current topics (e.g., text messaging while driving, violence in the media). The latest research and new photos have been integrated throughout the text to make the material more accessible. With these changes, students and professionals in the behavioral sciences will develop an understanding of statistical logic and procedures, the properties of statistical devices, and the importance of the assumptions underlying statistical tools.

Fundamental Statistics for the Behavioral Sciences

Author: David C. Howell

Publisher: Cengage Learning

ISBN: 1305652975

Category: Psychology

Page: 649

View: 1197

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FUNDAMENTAL STATISTICS FOR THE BEHAVIORAL SCIENCES focuses on providing the context of statistics in behavioral research, while emphasizing the importance of looking at data before jumping into a test. This practical approach provides students with an understanding of the logic behind the statistics, so they understand why and how certain methods are used -- rather than simply carry out techniques by rote. Students move beyond number crunching to discover the meaning of statistical results and appreciate how the statistical test to be employed relates to the research questions posed by an experiment. Written in an informal style, the text provides an abundance of real data and research studies that provide a real-life perspective and help students learn and understand concepts. In alignment with current trends in statistics in the behavioral sciences, the text emphasizes effect sizes and meta-analysis, and integrates frequent demonstrations of computer analyses through SPSS and R. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

Self-Directed Behavior: Self-Modification for Personal Adjustment

Author: David L. Watson,Roland G. Tharp

Publisher: Cengage Learning

ISBN: 1285077091

Category: Education

Page: 432

View: 5313

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Achieve your life goals with SELF-DIRECTED BEHAVIOR! Featuring numerous research-based strategies, this psychology book guides you through exercises for developing skills in self-analysis and teaches you how to apply these skills in different settings. Case examples demonstrate how others have successfully used the book's techniques, including one individual who used shaping to gradually increase her ability to study, and another who learned to be more sure of himself on dates by consciously modeling a friend's confident behavior. Available with InfoTrac Student Collections http://gocengage.com/infotrac. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

Social Psychology and Health

Author: Wolfgang Stroebe,Margaret S. Stroebe

Publisher: Thomson Brooks/Cole

ISBN: N.A

Category: Medical

Page: 290

View: 8041

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This book discusses major topics of health psychology from a social psychological perspective. This approach reflects the significant changes which have taken place in conceptions of health and illness during recent decades and the move away from purely biomedical models of illness. In line with this broadening perspective, (which social psychological theory and research has much to offer) this book addresses two major factors detrimental to health and well-being: health impairing behaviours; and stressful life events.

Statistics for Psychology

Author: Arthur Aron,Elliot J Coups,Elaine Aron,Cole Publishing

Publisher: Pearson

ISBN: 9781292040295

Category: Psychology

Page: 724

View: 3827

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Emphasizing meaning and concepts, not just symbols and numbers Statistics for Psychology, 6th edition places definitional formulas center stage to emphasize the logic behind statistics and discourage rote memorization. Each procedure is explained in a direct, concise language and both verbally and numerically. MyStatLab is an integral part of the Statistics course. MyStatLab gives students practice with hundreds of homework problems. Every problem includes tools to help students understand and solve each problem - and grades all of the problems for instructors. MyStatLab also includes tests, quizzes, eText, a Gradebook, a customizable study plan, and much more. Learning Goals Upon completing this book, readers should be able to: * Know both definitional and numerical formulas and how to apply them * Understand the logic behind each formula * Expose students to the latest thinking in statistical theory and application * Prepare students to read research articles * Learn how to use SPSS

Reading Statistics and Research

Author: Schuyler W. Huck

Publisher: Addison Wesley Longman

ISBN: 9780132178631

Category: Education

Page: 566

View: 1059

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Employing a non-intimidating writing style that emphasizes concepts rather than formulas, this uniquely welcoming text shows consumers of research how to read, understand, and critically evaluate the statistical information and research results contained in technical research reports. Some key topics covered in this thoroughly revised text include: descriptive statistics, correlation, reliability and validity, estimation, h hypothesis testing, t-tests, ANOVA, ANCOVA, regression, multivariate analysis, factor analysis, and structural equation modeling (SEM). A number of mini-topics related to research and statistics are also discussed, such as the geometric mean, Tau-b correlation, Guttman split-half reliability, sensitivity, specificity, and the Sobel test. Additionally, the sixth edition also includes over 488 new excerpts (tables, figures, passages of text) taken from current research reports. Written specifically for students in non-thesis Master's Programs but also perfectly suitable for students in upper-level undergraduate statistics courses, doctoral students who must conduct dissertation research, and independent researchers who want a better handle on how to decipher and critique statistically-based research reports. Thoroughly updated and revised to reflect advances in the field, Reading Statistics and Research, Sixth Edition gives consumers of research exactly what they are seeking in this caliber of text, that being the knowledge necessary to better understand research and statistics, and the confidence and ability to ultimately decipher and critique research reports on their own.

Research Methods and Statistics in Psychology

Author: Hugh Coolican

Publisher: Psychology Press

ISBN: 1444170120

Category: Psychology

Page: 774

View: 5526

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This sixth edition of Research Methods and Statistics in Psychology has been fully revised and updated, providing students with the most readable and comprehensive survey of research methods, statistical concepts and procedures in psychology today. Assuming no prior knowledge, this bestselling text takes you through every stage of your research project giving advice on planning and conducting studies, analysing data and writing up reports. The book provides clear coverage of statistical procedures, and includes everything needed from nominal level tests to multi-factorial ANOVA designs, multiple regression and log linear analysis. It features detailed and illustrated SPSS instructions for all these procedures eliminating the need for an extra SPSS textbook. New features in the sixth edition include: "Tricky bits" - in-depth notes on the things that students typically have problems with, including common misunderstandings and likely mistakes. Improved coverage of qualitative methods and analysis, plus updates to Grounded Theory, Interpretive Phenomenological Analysis and Discourse Analysis. A full and recently published journal article using Thematic Analysis, illustrating how articles appear in print. Discussion of contemporary issues and debates, including recent coverage of journals’ reluctance to publish replication of studies. Fully updated online links, offering even more information and useful resources, especially for statistics. Each chapter contains a glossary, key terms and newly integrated exercises, ensuring that key concepts are understood. A companion website (www.routledge.com/cw/coolican) provides additional exercises, revision flash cards, links to further reading and data for use with SPSS.

An Introduction to Statistical Concepts

Third Edition

Author: Debbie L Hahs-Vaughn,Richard G Lomax

Publisher: Routledge

ISBN: 1136490124

Category: Psychology

Page: 840

View: 6896

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

Research Methods In Psychology

Author: John Shaughnessy

Publisher: McGraw-Hill Higher Education

ISBN: 0078135656

Category: Psychology

Page: 512

View: 1666

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Psychologists use a variety of research methods and tools to learn about behavior and mental processes. The goal of this book is to introduce students to the “multimethod approach” to research in psychology, including observational, survey, and experimental methods. Students learn the strengths and weaknesses of each method, as well as ethical dilemmas when using them, so that they can become competent practitioners and thoughtful consumers of psychological research. Our approach is to engage students in the research process by describing contemporary research in psychology. Students learn about recent topics such as online dating and Facebook, cross-cultural observations of helping behavior, PTSD in orphaned chimpanzees, Medicaid and Medicare health outcomes, decision-making during Hurricane Katrina, clinical research and DSM-5, and much more. Each chapter's “stretching exercises,” “stat tips,” review questions, and challenge questions develop students' critical thinking about the psychological research that appears in scientific journals and in popular media. Together with the companion Online Learning Center for students, the 10th edition of Research Methods in Psychology provides a clearly written, compelling introduction to research methods in psychology

Statistics for People Who (Think They) Hate Statistics

Author: Neil J. Salkind

Publisher: SAGE Publications

ISBN: 1506333850

Category: Social Science

Page: 480

View: 2765

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The Sixth Edition of Neil J. Salkind’s best-selling Statistics for People Who (Think They) Hate Statistics promises to ease student anxiety around an often intimidating subject with a humorous, personable, and informative approach. Salkind guides students through various statistical procedures, beginning with descriptive statistics, correlation, and graphical representation of data, and ending with inferential techniques and analysis of variance. New to this edition is an introduction to working with large data sets.

Data Mining and Statistics for Decision Making

Author: Stéphane Tufféry

Publisher: John Wiley & Sons

ISBN: 9780470979280

Category: Computers

Page: 716

View: 7330

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Data mining is the process of automatically searching large volumes of data for models and patterns using computational techniques from statistics, machine learning and information theory; it is the ideal tool for such an extraction of knowledge. Data mining is usually associated with a business or an organization's need to identify trends and profiles, allowing, for example, retailers to discover patterns on which to base marketing objectives. This book looks at both classical and recent techniques of data mining, such as clustering, discriminant analysis, logistic regression, generalized linear models, regularized regression, PLS regression, decision trees, neural networks, support vector machines, Vapnik theory, naive Bayesian classifier, ensemble learning and detection of association rules. They are discussed along with illustrative examples throughout the book to explain the theory of these methods, as well as their strengths and limitations. Key Features: Presents a comprehensive introduction to all techniques used in data mining and statistical learning, from classical to latest techniques. Starts from basic principles up to advanced concepts. Includes many step-by-step examples with the main software (R, SAS, IBM SPSS) as well as a thorough discussion and comparison of those software. Gives practical tips for data mining implementation to solve real world problems. Looks at a range of tools and applications, such as association rules, web mining and text mining, with a special focus on credit scoring. Supported by an accompanying website hosting datasets and user analysis. Statisticians and business intelligence analysts, students as well as computer science, biology, marketing and financial risk professionals in both commercial and government organizations across all business and industry sectors will benefit from this book.

Statistical Methods for the Social Sciences

Author: Alan Agresti

Publisher: Pearson

ISBN: 0134512820

Category: Mathematics

Page: 740

View: 8250

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This is the eBook of the printed book and may not include any media, website access codes, or print supplements that may come packaged with the bound book. For courses in Statistical Methods for the Social Sciences . Statistical methods applied to social sciences, made accessible to all through an emphasis on concepts Statistical Methods for the Social Sciences introduces statistical methods to students majoring in social science disciplines. With an emphasis on concepts and applications, this book assumes you have no previous knowledge of statistics and only a minimal mathematical background. It contains sufficient material for a two-semester course. The 5th Edition gives you examples and exercises with a variety of “real data.” It includes more illustrations of statistical software for computations and takes advantage of the outstanding applets to explain key concepts, such as sampling distributions and conducting basic data analyses. It continues to downplay mathematics–often a stumbling block for students–while avoiding reliance on an overly simplistic recipe-based approach to statistics.