Anova
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Anova
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Author : Ellen R. Girden
language : en
Publisher: SAGE
Release Date : 1992
Anova written by Ellen R. Girden and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992 with Mathematics categories.
Focusing on situations in which analysis of variance (ANOVA) involving the repeated measurement of separate groups of individuals is needed, Girden reveals the advantages, disadvantages, and counterbalancing issues of repeated measures situations. Using additive and nonadditive models to guide the analysis in each chapter, the book covers such topics as the rationale for partitioning the sum of squares, detailed analyses to facilitate the interpretation of computer printouts, the rationale for the F ratios in terms of expected means squares, validity assumptions for sphericity or circularity and approximate tests to perform when sphericity is not met.
Anova For The Behavioral Sciences Researcher
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Author : Rudolf N. Cardinal
language : en
Publisher: Psychology Press
Release Date : 2013-04-15
Anova For The Behavioral Sciences Researcher written by Rudolf N. Cardinal and has been published by Psychology Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-04-15 with Psychology categories.
This new book provides a theoretical and practical guide to analysis of variance (ANOVA) for those who have not had a formal course in this technique, but need to use this analysis as part of their research. From their experience in teaching this material and applying it to research problems, the authors have created a summary of the statistical theory underlying ANOVA, together with important issues, guidance, practical methods, references, and hints about using statistical software. These have been organized so that the student can learn the logic of the analytical techniques but also use the book as a reference guide to experimental designs, realizing along the way what pitfalls are likely to be encountered.
Anova And Ancova
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Author : Andrew Rutherford
language : en
Publisher: John Wiley & Sons
Release Date : 2012-08-29
Anova And Ancova written by Andrew Rutherford and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-08-29 with Mathematics categories.
Provides an in-depth treatment of ANOVA and ANCOVA techniques from a linear model perspective ANOVA and ANCOVA: A GLM Approach provides a contemporary look at the general linear model (GLM) approach to the analysis of variance (ANOVA) of one- and two-factor psychological experiments. With its organized and comprehensive presentation, the book successfully guides readers through conventional statistical concepts and how to interpret them in GLM terms, treating the main single- and multi-factor designs as they relate to ANOVA and ANCOVA. The book begins with a brief history of the separate development of ANOVA and regression analyses, and then goes on to demonstrate how both analyses are incorporated into the understanding of GLMs. This new edition now explains specific and multiple comparisons of experimental conditions before and after the Omnibus ANOVA, and describes the estimation of effect sizes and power analyses leading to the determination of appropriate sample sizes for experiments to be conducted. Topics that have been expanded upon and added include: Discussion of optimal experimental designs Different approaches to carrying out the simple effect analyses and pairwise comparisons with a focus on related and repeated measure analyses The issue of inflated Type 1 error due to multiple hypotheses testing Worked examples of Shaffer's R test, which accommodates logical relations amongst hypotheses ANOVA and ANCOVA: A GLM Approach, Second Edition is an excellent book for courses on linear modeling at the graduate level. It is also a suitable reference for researchers and practitioners in the fields of psychology and the biomedical and social sciences.
Introducing Anova And Ancova
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Author : Andrew Rutherford
language : en
Publisher: SAGE
Release Date : 2001-03-08
Introducing Anova And Ancova written by Andrew Rutherford and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001-03-08 with Social Science categories.
Traditional approaches to ANOVA and ANCOVA are now being replaced by a General Linear Modeling (GLM) approach. This book begins with a brief history of the separate development of ANOVA and regression analyses and demonstrates how both analysis forms are subsumed by the General Linear Model. A simple single independent factor ANOVA is analysed first in conventional terms and then again in GLM terms to illustrate the two approaches. The text then goes on to cover the main designs, both independent and related ANOVA and ANCOVA, single and multi-factor designs. The conventional statistical assumptions underlying ANOVA and ANCOVA are detailed and given expression in GLM terms. Alternatives to traditional ANCO
Two Way Analysis Of Variance
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Author : Thomas W. MacFarland
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-12-10
Two Way Analysis Of Variance written by Thomas W. MacFarland and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-12-10 with Social Science categories.
In statistics, analysis of variance (ANOVA) is a collection of statistical models used to distinguish between an observed variance in a particular variable and its component parts. In its simplest form, ANOVA provides a statistical test of whether or not the means of several groups are all equal, and therefore generalizes a test between these groups. One test often used by statisticians and researchers in their work is the Two-Way ANOVA, which determines the differences--and possible interactions--when variables are presented from the perspective of two or more categories. When a Two-Way ANOVA is implemented, it enables one to compare and contrast variables resulting from independent or joint actions. This brief provides guidance on how R can be used to facilitate Two-Way ANOVA for data analysis and graphical presentation. Along with instruction on the use of R and R syntax associated with Two-Way ANOVA, this brief will also reinforce the use of descriptive statistics and graphical figures to complement outcomes from parametric Two-Way ANOVA.
Beyond Anova
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Author : Rupert G. Miller, Jr.
language : en
Publisher: CRC Press
Release Date : 1997-01-01
Beyond Anova written by Rupert G. Miller, Jr. and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997-01-01 with Mathematics categories.
Renowned statistician R.G. Miller set the pace for statistics students with Beyond ANOVA: Basics of Applied Statistics. Designed to show students how to work with a set of "real world data," Miller's text goes beyond any specific discipline, and considers a whole variety of techniques from ANOVA to empirical Bayes methods; the jackknife, bootstrap methods; and the James-Stein estimator. This reissue of Miller's classic book has been revised by professors at Stanford University, California. As before, one of the main strengths of Beyond ANOVA is its promotion of the use of the most straightforward data analysis methods-giving students a viable option, instead of resorting to complicated and unnecessary tests. Assuming a basic background in statistics, Beyond ANOVA is written for undergraduates and graduate statistics students. Its approach will also be valued by biologists, social scientists, engineers, and anyone who may wish to handle their own data analysis.
Random Factors In Anova
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Author : Sally Ann Jackson
language : en
Publisher: SAGE
Release Date : 1994
Random Factors In Anova written by Sally Ann Jackson and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994 with Social Science categories.
"The authors clearly explicate random-effectss analysis of variance (ANOVA) through several well-chosen real-life examples. . . . this is a neat little book. . . " --Dayanand N. Naik in Technometrics "The authors offer a motivating discussion of research circumstances for which random factors may be particularly suitable, and they define random factors more broadly and pragmatically than the traditional definition does on the basis of pure statistical sampling. . . . Random Factors in ANOVA will also probably be particularly useful to students who are not terribly quantitative in orientation, because much of it strives to explain intuitively and verbally the relevant issues." --Journal of Marketing Research When and why are random factors other than subjects used? How do you decide whether a factor is fixed or random? Through the use of examples from management, education, political science, and psychology, Jackson and Brashers show the reader how to determine if a factor is random or fixed and how to deal in an analysis of variance (ANOVA) with random factors. In addition, they explore ways to incorporate random factors into an experimental design with other factors and discuss ways to adapt SAS and SPSSX for analyzing designs with random factors.Learn more about "The Little Green Book" - QASS Series! Click Here
Design And Analysis In Educational Research
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Author : Kamden K. Strunk
language : en
Publisher: Routledge
Release Date : 2020-04-22
Design And Analysis In Educational Research written by Kamden K. Strunk and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-04-22 with Education categories.
This book presents an integrated approach to learning about research design alongside statistical analysis concepts. Strunk and Mwavita maintain a focus on applied educational research throughout the text, with practical tips and advice on how to do high-quality quantitative research. Design and Analysis in Educational Research teaches research design (including epistemology, research ethics, forming research questions, quantitative design, sampling methodologies, and design assumptions) and introductory statistical concepts (including descriptive statistics, probability theory, sampling distributions), basic statistical tests (like z and t), and ANOVA designs, including more advanced designs like the factorial ANOVA and mixed ANOVA, using SPSS for analysis. Designed specifically for an introductory graduate course in research design and statistical analysis, the book takes students through principles by presenting case studies, describing the research design principles at play in each study, and then asking students to walk through the process of analyzing data that reproduce the published results. An online eResource is also available with data sets. This textbook is tailor-made for first-level doctoral courses in research design and analysis, and will also be of interest to graduate students in education and educational research.
Anova For The Behavioural Sciences Researcher
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Author : Rudolf N. Cardinal
language : en
Publisher: Psychology Press
Release Date : 2006
Anova For The Behavioural Sciences Researcher written by Rudolf N. Cardinal and has been published by Psychology Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with Mathematics categories.
A theoretical and practical guide to analysis of variance (ANOVA) for the use of students and researchers. A summary of the statistical theory underlying ANOVA, together with important issues, guidance, practical methods, references, and hints about using statistical software.
A Student S Guide To Analysis Of Variance
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Author : Maxwell Roberts
language : en
Publisher: Routledge
Release Date : 2014-06-03
A Student S Guide To Analysis Of Variance written by Maxwell Roberts and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-06-03 with Psychology categories.
In the investigation of human behaviour, statistical techniques are employed widely in the social sciences. Whilst introductory statistics courses cover essential techniques, the complexities of behaviour demand that more flexible and comprehensive methods are also employed. Analysis of Variance (ANOVA) has become one of the most common of these and it is therefore essential for both student and researcher to have a thorough understanding of it. A Student's Guide to Analysis of Variance covers a range of statistical techniques associated with ANOVA, including single and multiple factor designs, various follow-up procedures such as post-hoc tests, and how to make sense of interactions. Suggestions on the best use of techniques and advice on how to avoid the pitfalls are included, along with guidelines on the writing of formal reports. Introductory level topics such as standard deviation, standard error and t-tests are revised, making this book an invaluable aid to all students for whom ANOVA is a compulsory topic. It will also serve as a useful refresher for the more advanced student and practising researcher.