statistical analysis for education and psychology researchers tools for researchers in education and psychology

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Statistical Analysis For Education And Psychology Researchers

Author : Ian Peers
ISBN : 9780203985984
Genre : Education
File Size : 42. 38 MB
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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.

Statistical Analysis For Education And Psychology Researchers

Author : Ian Peers
ISBN : 075070506X
Genre : Education
File Size : 90. 4 MB
Format : PDF, ePub
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This book has been written for researchers in education and psychology who do not have a strong mathematical background. It is designed to help researchers choose and use appropriate statistical tests in given circumstances. A decision chart is included which summarizes important considerations when choosing a statistical test. The book has three underlying aims: to help readers learn basic statistical concepts and thereby become more astute 'consumers' of research papers and reports; to enable potential 'producers' to become judicious users of statistical procedures; to help researchers use statistical software effectively - that is, to understand how results are computed and to know how to interpret computer output. Statistical analysis for Education and Psychology Researchers introduces the reader to statistical test procedures using examples of research problems and analyses from the literature of education and psychology. The reader's understanding of the concepts and how they can be used are facilitated through the consideration of statistical results as presented in the literature. Illustrations of data analysis excerpts using a pocket calculator and examples of analyses of complex data sets using proprietary computer software (SAS) are also given. Computer programmes, including sample size calculations, are presented in the appendices.

Handbook Of Psychology Research Methods In Psychology

Author : Irving B. Weiner
ISBN : 0471385131
Genre : Psychology
File Size : 27. 75 MB
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This book provides a comprehensive overview of methods of data collection and analysis in psychological science. Chapter address basic considerations in research design-such as formulating hypothesis, selecting participant samples, identifying independent and dependent variables, and determining appropriate procedures-and alternative techniques for statistical treatment of data, such as categorical and factorial methods, path analysis and logistic regression, and meta-analysis.

Handbook Of Educational Psychology

Author : David C. Berliner
ISBN : 9781136500312
Genre : Education
File Size : 87. 9 MB
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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.

Handbook Of Educational Psychology

Author : Lyn Corno
ISBN : 9781317420569
Genre : Education
File Size : 53. 45 MB
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The third edition of the Handbook of Educational Psychology is sponsored by Division 15 of the American Psychological Association. In this volume, thirty chapters address new developments in theory and research methods while honoring the legacy of the field’s past. A diverse group of recognized scholars within and outside the U.S. provide integrative reviews and critical syntheses of developments in the substantive areas of psychological inquiry in education, functional processes for learning, learner readiness and development, building knowledge and subject matter expertise, and the learning and task environment. New chapters in this edition cover topics such as learning sciences research, latent variable models, data analytics, neuropsychology, relations between emotion, motivation, and volition (EMOVO), scientific literacy, sociocultural perspectives on learning, dialogic instruction, and networked learning. Expanded treatment has been given to relevant individual differences, underlying processes, and new research on subject matter acquisition. The Handbook of Educational Psychology, Third Edition, provides an indispensable reference volume for scholars in education and the learning sciences, broadly conceived, as well as for teacher educators, practicing teachers, policy makers and the academic libraries serving these audiences. It is also appropriate for graduate level courses in educational psychology, human learning and motivation, the learning sciences, and psychological research methods in education and psychology.

Research And Evaluation In Education And Psychology

Author : Donna M. Mertens
ISBN : 9781483322605
Genre : Education
File Size : 90. 75 MB
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Focused on increasing the credibility of research and evaluation, the Fourth Edition of Donna M. Mertens’s comprehensive Research and Evaluation in Education and Psychology: Integrating Diversity with Quantitative, Qualitative, and Mixed Methods incorporates the viewpoints of various research paradigms into its descriptions of these methods. Providing specific advice on conducting research in culturally complex communities, the new edition has been updated to align with the American Psychological Association and the National Council of Accreditation of Teacher Education accreditation requirements. Approximately sixty percent of the content in the Fourth Edition is new, updated with numerous contemporary examples, making this book one of the most comprehensive, accessible, and practical methods books available. Praise for the previous edition: “The organization of the text reflects the author’s intent, philosophy, and objectives . . . [Mertens] clearly presents approaches, descriptions, and many examples useful in conducting studies; she is to be commended for the thoroughness of her work.” —Frank D. Adams, Wayne State College “Excellent descriptions, definitions, examples, and narrative about social science theory and the various paradigms. Mertens’ use [of] a wide variety of social identities to provide her examples makes the text inclusive of a variety of diverse identities. It is also useful to see the differences between [research and evaluation] and to select methods appropriate to the intention of the inquiry.” —Katrina L. Rodriguez, University of Northern Colorado

Excel 2013 For Social Sciences Statistics

Author : Thomas J. Quirk
ISBN : 9783319191775
Genre : Social Science
File Size : 24. 22 MB
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This is the first book to show the capabilities of Microsoft Excel to teach social science statistics effectively. It is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical social science 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 social science courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. However, Excel 2013 for Social Science 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 social science 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. Includes 167 illustrations in color Suitable for upper undergraduates or graduate students

Research Design And Statistical Analysis

Author : Jerome L. Myers
ISBN : 9781135811631
Genre : Psychology
File Size : 58. 25 MB
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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.

Multilevel Modeling Using R

Author : W. Holmes Finch
ISBN : 9781466515864
Genre : Mathematics
File Size : 89. 4 MB
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A powerful tool for analyzing nested designs in a variety of fields, multilevel/hierarchical modeling allows researchers to account for data collected at multiple levels. Multilevel Modeling Using R provides you with a helpful guide to conducting multilevel data modeling using the R software environment. After reviewing standard linear models, the authors present the basics of multilevel models and explain how to fit these models using R. They then show how to employ multilevel modeling with longitudinal data and demonstrate the valuable graphical options in R. The book also describes models for categorical dependent variables in both single level and multilevel data. The book concludes with Bayesian fitting of multilevel models. For those new to R, the appendix provides an introduction to this system that covers basic R knowledge necessary to run the models in the book. Through the R code and detailed explanations provided, this book gives you the tools to launch your own investigations in multilevel modeling and gain insight into your research.

Introduction To Research In Education

Author : Donald Ary
ISBN : 0030206065
Genre : Education
File Size : 87. 93 MB
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Foundations; Research background; Statistical analysis; Tools of research; Research methods; Communicating research.

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