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Statistical Analysis For Education And Psychology Researchers

Author: Ian Peers
Publisher: Routledge
ISBN: 1135717516
Size: 13.43 MB
Format: PDF, ePub
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Basic statistical concepts such as probability, estimation and inference, and their role in research design and analysis are presented in this volume. The author demonstrates which statistical test to use in given circumstances and how to use it, drawing on data from psychology and education.; Written for those without a strong mathematical background, the book's examples can be worked using a pocket calculator. "Real life" data are analyzed using statistical software (SAS), output is interpreted, and a decision chart is presented which summarizes considerations when choosing a statistical test.

Excel 2016 For Educational And Psychological Statistics

Author: Thomas J Quirk
Publisher: Springer
ISBN: 3319397206
Size: 15.72 MB
Format: PDF
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This book shows the capabilities of Microsoft Excel in teaching educational and psychological statistics effectively. Similar to the previously published Excel 2013 for Educational and Psychological Statistics, this book is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical education and psychology problems. If understanding statistics isn’t your strongest suit, you are not especially mathematically-inclined, or if you are wary of computers, this is the right book for you. Excel, a widely available computer program for students and managers, is also an effective teaching and learning tool for quantitative analyses in education and psychology courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. However, Excel 2016 for Educational and Psychological Statistics: A Guide to Solving Practical Problems is the first book to capitalize on these improvements by teaching students and managers how to apply Excel to statistical techniques necessary in their courses and work. Each chapter explains statistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand educational and psychological problems. Practice problems are provided at the end of each chapter with their solutions in an appendix. Separately, there is a full Practice Test (with answers in an Appendix) that allows readers to test what they have learned.

Single Case Intervention Research

Author: Thomas R. Kratochwill
Publisher: American Psychological Association (APA)
ISBN: 9781433817519
Size: 67.71 MB
Format: PDF, ePub
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Thanks to remarkable advances in recent years, single-case design (SCD) reseach has become a viableùand often essentialùoption for researchers across a variety of settings. SCD is a highly flexible method of conducting applied intervention research, in which the subject of an experimentally controlled intervention is a single group or individual. This methodology is especially useful when it is not feasible or practice to collect data from multiple groups of participants, as is often the case in applied psychology, education, and related fields. This text presents a wealth of information and tools for researchers considering SCD including in-depth descriptions of large-scale SCD research projects being undertaken at key institutions; practical suggestions from journal editors on how to get SCD research published; and detailed instructions for free, user-friendly, web-based randomization software. Book jacket.

Introduction To Research In Education

Author: Donald Ary
Publisher: Cengage Learning
ISBN: 1337566004
Size: 27.97 MB
Format: PDF
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A classic in the field, INTRODUCTION TO METHODS IN EDUCATION, 10th Edition, helps students master the basic competencies necessary to understand and evaluate the research of others, and shows them how to plan and conduct original research. The text's strengths include a clear writing style, comprehensive topic coverage, well-chosen and effective examples that clarify complex concepts, and strong end-of-chapter exercises that expose students to intriguing research problems. This edition builds on the text's strengths of teaching students to become more competent consumers and producers of research, with expanded coverage of qualitative methods, action research, and indigenous research; and an up-to-date feature focusing on research issues in the public realm. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

Activities For Teaching Statistics And Research Methods

Author: Jeffrey R. Stowell
Publisher: American Psychological Association (APA)
ISBN: 9781433827143
Size: 77.21 MB
Format: PDF, Docs
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This book offers original, classroom-tested activities to teach high school and undergraduate students essential concepts in research methods and statistics.

Statistical Methods For Psychology

Author: David C. Howell
Publisher: Cengage Learning
ISBN: 1111835489
Size: 72.15 MB
Format: PDF, ePub
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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.

Handbook Of Educational Psychology

Author: David C. Berliner
Publisher: Routledge
ISBN: 1136500316
Size: 38.73 MB
Format: PDF, Mobi
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Sponsored by Division 15 of APA, the second edition of this groundbreaking book has been expanded to 41 chapters that provide unparalleled coverage of this far-ranging field. Internationally recognized scholars contribute up-to-date reviews and critical syntheses of the following areas: foundations and the future of educational psychology, learners’ development, individual differences, cognition, motivation, content area teaching, socio-cultural perspectives on teaching and learning, teachers and teaching, instructional design, teacher assessment, and modern perspectives on research methodologies, data, and data analysis. New chapters cover topics such as adult development, self-regulation, changes in knowledge and beliefs, and writing. Expanded treatment has been given to cognition, motivation, and new methodologies for gathering and analyzing data. The Handbook of Educational Psychology, Second Edition provides an indispensable reference volume for scholars, teacher educators, in-service practitioners, policy makers and the academic libraries serving these audiences. It is also appropriate for graduate level courses devoted to the study of educational psychology.

Research Design Statistical Analysis

Author: Arnold D. Well
Publisher: Psychology Press
ISBN: 1135641072
Size: 24.57 MB
Format: PDF
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This book emphasizes the statistical concepts and assumptions necessary to describe and make inferences about real data. Throughout the book the authors encourage the reader to plot and examine their data, find confidence intervals, use power analyses to determine sample size, and calculate effect sizes. The goal is to ensure the reader understands the underlying logic and assumptions of the analysis and what it tells them, the limitations of the analysis, and the possible consequences of violating assumptions. The simpler, less abstract discussion of analysis of variance is presented prior to developing the more general model. A concern for alternatives to standard analyses allows for the integration of non-parametric techniques into relevant design chapters, rather than in a single, isolated chapter. This organization allows for the comparison of the pros and cons of alternative procedures within the research context to which they apply. Basic concepts, such as sampling distributions, expected mean squares, design efficiency, and statistical models are emphasized throughout. This approach provides a stronger conceptual foundation in order to help the reader generalize the concepts to new situations they will encounter in their research and to better understand the advice of statistical consultants and the content of articles using statistical methodology. The second edition features a greater emphasis on graphics, confidence intervals, measures of effect size, power analysis, tests of contrasts, elementary probability, correlation, and regression. A Free CD that contains several real and artificial data sets used in the book in SPSS, SYSTAT, and ASCII formats, is included in the back of the book. An Instructor's Solutions Manual, containing the intermediate steps to all of the text exercises, is available free to adopters.

Research Design And Statistical Analysis

Author: Jerome L. Myers
Publisher: Routledge
ISBN: 1135811636
Size: 65.19 MB
Format: PDF, Docs
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Research Design and Statistical Analysis provides comprehensive coverage of the design principles and statistical concepts necessary to make sense of real data. The book’s goal is to provide a strong conceptual foundation to enable readers to generalize concepts to new research situations. Emphasis is placed on the underlying logic and assumptions of the analysis and what it tells the researcher, the limitations of the analysis, and the consequences of violating assumptions. Sampling, design efficiency, and statistical models are emphasized throughout. As per APA recommendations, emphasis is also placed on data exploration, effect size measures, confidence intervals, and using power analyses to determine sample size. "Real-world" data sets are used to illustrate data exploration, analysis, and interpretation. The book offers a rare blend of the underlying statistical assumptions, the consequences of their violations, and practical advice on dealing with them. Changes in the New Edition: Each section of the book concludes with a chapter that provides an integrated example of how to apply the concepts and procedures covered in the chapters of the section. In addition, the advantages and disadvantages of alternative designs are discussed. A new chapter (1) reviews the major steps in planning and executing a study, and the implications of those decisions for subsequent analyses and interpretations. A new chapter (13) compares experimental designs to reinforce the connection between design and analysis and to help readers achieve the most efficient research study. A new chapter (27) on common errors in data analysis and interpretation. Increased emphasis on power analyses to determine sample size using the G*Power 3 program. Many new data sets and problems. More examples of the use of SPSS (PASW) Version 17, although the analyses exemplified are readily carried out by any of the major statistical software packages. A companion website with the data used in the text and the exercises in SPSS and Excel formats; SPSS syntax files for performing analyses; extra material on logistic and multiple regression; technical notes that develop some of the formulas; and a solutions manual and the text figures and tables for instructors only. Part 1 reviews research planning, data exploration, and basic concepts in statistics including sampling, hypothesis testing, measures of effect size, estimators, and confidence intervals. Part 2 presents between-subject designs. The statistical models underlying the analysis of variance for these designs are emphasized, along with the role of expected mean squares in estimating effects of variables, the interpretation of nteractions, and procedures for testing contrasts and controlling error rates. Part 3 focuses on repeated-measures designs and considers the advantages and disadvantages of different mixed designs. Part 4 presents detailed coverage of correlation and bivariate and multiple regression with emphasis on interpretation and common errors, and discusses the usefulness and limitations of these procedures as tools for prediction and for developing theory. This is one of the few books with coverage sufficient for a 2-semester course sequence in experimental design and statistics as taught in psychology, education, and other behavioral, social, and health sciences. Incorporating the analyses of both experimental and observational data provides continuity of concepts and notation. Prerequisites include courses on basic research methods and statistics. The book is also an excellent resource for practicing researchers.