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Statistical Methods for Experimental Research in Education and Psychology

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Release : 2019-05-30
Genre : Education
Kind : eBook
Book Rating : 416/5 ( reviews)

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Book Synopsis Statistical Methods for Experimental Research in Education and Psychology by : Jimmie Leppink

Download or read book Statistical Methods for Experimental Research in Education and Psychology written by Jimmie Leppink. This book was released on 2019-05-30. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on experimental research in two disciplines that have a lot of common ground in terms of theory, experimental designs used, and methods for the analysis of experimental research data: education and psychology. Although the methods covered in this book are also frequently used in many other disciplines, including sociology and medicine, the examples in this book come from contemporary research topics in education and psychology. Various statistical packages, commercial and zero-cost Open Source ones, are used. The goal of this book is neither to cover all possible statistical methods out there nor to focus on a particular statistical software package. There are many excellent statistics textbooks on the market that present both basic and advanced concepts at an introductory level and/or provide a very detailed overview of options in a particular statistical software programme. This is not yet another book in that genre. Core theme of this book is a heuristic called the question-design-analysis bridge: there is a bridge connecting research questions and hypotheses, experimental design and sampling procedures, and common statistical methods in that context. Each statistical method is discussed in a concrete context of a set of research question with directed (one-sided) or undirected (two-sided) hypotheses and an experimental setup in line with these questions and hypotheses. Therefore, the titles of the chapters in this book do not include any names of statistical methods such as ‘analysis of variance’ or ‘analysis of covariance’. In a total of seventeen chapters, this book covers a wide range of topics of research questions that call for experimental designs and statistical methods, fairly basic or more advanced.

Statistics And Experimental Design For Psychologists: A Model Comparison Approach

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Release : 2017-08-28
Genre : Psychology
Kind : eBook
Book Rating : 674/5 ( reviews)

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Book Synopsis Statistics And Experimental Design For Psychologists: A Model Comparison Approach by : Rory Allen

Download or read book Statistics And Experimental Design For Psychologists: A Model Comparison Approach written by Rory Allen. This book was released on 2017-08-28. Available in PDF, EPUB and Kindle. Book excerpt: This is the first textbook for psychologists which combines the model comparison method in statistics with a hands-on guide to computer-based analysis and clear explanations of the links between models, hypotheses and experimental designs. Statistics is often seen as a set of cookbook recipes which must be learned by heart. Model comparison, by contrast, provides a mental roadmap that not only gives a deeper level of understanding, but can be used as a general procedure to tackle those problems which can be solved using orthodox statistical methods.Statistics and Experimental Design for Psychologists focusses on the role of Occam's principle, and explains significance testing as a means by which the null and experimental hypotheses are compared using the twin criteria of parsimony and accuracy. This approach is backed up with a strong visual element, including for the first time a clear illustration of what the F-ratio actually does, and why it is so ubiquitous in statistical testing.The book covers the main statistical methods up to multifactorial and repeated measures, ANOVA and the basic experimental designs associated with them. The associated online supplementary material extends this coverage to multiple regression, exploratory factor analysis, power calculations and other more advanced topics, and provides screencasts demonstrating the use of programs on a standard statistical package, SPSS.Of particular value to third year undergraduate as well as graduate students, this book will also have a broad appeal to anyone wanting a deeper understanding of the scientific method.

Statistical Methods In Psychological And Educational Research

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Release : 2001
Genre :
Kind : eBook
Book Rating : 028/5 ( reviews)

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Book Synopsis Statistical Methods In Psychological And Educational Research by : M. Rajamanickam

Download or read book Statistical Methods In Psychological And Educational Research written by M. Rajamanickam. This book was released on 2001. Available in PDF, EPUB and Kindle. Book excerpt:

Statistical Methods in Education and Psychology

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Release : 1984
Genre : Education
Kind : eBook
Book Rating : /5 ( reviews)

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Book Synopsis Statistical Methods in Education and Psychology by : Gene V. Glass

Download or read book Statistical Methods in Education and Psychology written by Gene V. Glass. This book was released on 1984. Available in PDF, EPUB and Kindle. Book excerpt: The approach of SMEP-III is conceptual rather than mathematical. The authors stress the understanding, applications, and interpretation of concepts rather than derivation and proof or hand-computation. Copyright © Libri GmbH. All rights reserved.

Experiment Design and Statistical Methods For Behavioural and Social Research

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Release : 2019-05-20
Genre : Mathematics
Kind : eBook
Book Rating : 303/5 ( reviews)

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Book Synopsis Experiment Design and Statistical Methods For Behavioural and Social Research by : David R. Boniface

Download or read book Experiment Design and Statistical Methods For Behavioural and Social Research written by David R. Boniface. This book was released on 2019-05-20. Available in PDF, EPUB and Kindle. Book excerpt: Experiment Design and Statistical Methods introduces the concepts, principles, and techniques for carrying out a practical research project either in real world settings or laboratories - relevant to studies in psychology, education, life sciences, social sciences, medicine, and occupational and management research. The text covers: repeated measures unbalanced and non-randomized experiments and surveys choice of design adjustment for confounding variables model building and partition of variance covariance multiple regression Experiment Design and Statistical Methods contains a unique extension of the Venn diagram for understanding non-orthogonal design, and it includes exercises for developing the reader's confidence and competence. The book also examines advanced techniques for users of computer packages or data analysis, such as Minitab, SPSS, SAS, SuperANOVA, Statistica, BMPD, SYSTAT, Genstat, and GLIM.

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