skip to content
Repeated measures design for empirical researchers Preview this item
ClosePreview this item
Checking...

Repeated measures design for empirical researchers

Author: J P Verma
Publisher: Hoboken, New Jersey : John Wiley & Sons, Inc., [2015]
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
Introduces the applications of repeated measures design processes with the popular IBM SPSS software Repeated Measures Design for Empirical Researchers presents comprehensive coverage of the formation of research questions and the analysis of repeated measures using IBM SPSS and also includes the solutions necessary for understanding situations where the designs can be used. In addition to explaining the computation  Read more...
Rating:

(not yet rated) 0 with reviews - Be the first.

Subjects
More like this

 

Find a copy online

Links to this item

Find a copy in the library

&AllPage.SpinnerRetrieving; Finding libraries that hold this item...

Details

Genre/Form: Electronic books
Additional Physical Format: Print version:
Verma, J. P.
Repeated measures design for empirical researchers
Hoboken, New Jersey : John Wiley & Sons, Inc., [2015]
(DLC) 2014048319
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: J P Verma
ISBN: 9781119052500 1119052505 9781119052692 1119052696
OCLC Number: 898334482
Description: 1 online resource.
Contents: Cover --
Title Page --
Copyright --
Dedication --
Contents --
Preface --
Illustration Credits --
Chapter 1 Foundations of Experimental Design --
Introduction --
What is Experimental Research? --
Design of Experiment and its Principles --
Randomization --
Replication --
Blocking --
Statistical Designs --
Completely Randomized Design --
Randomized Block Design --
Matched Pairs Design --
Latin Square designs --
Factorial Experiment --
Terminologies in Design of Experiment --
Subject --
Experimental Unit --
Factor and Treatment --
Criterion Variable --
Variation and Variance --
Experimental Error --
External Validity --
Internal Validity --
Considerations in Designing an Experiment --
Systematic Variance --
Extraneous Variance --
Randomization Method --
Elimination Method --
Matching Group Method --
Adding Additional Independent Variable --
Statistical Control --
Error Variance --
Exercise --
Assignment --
Bibliography --
Chapter 2 Analysis of Variance and Repeated Measures Design --
Introduction --
Understanding Variance and Sum of Squares --
One Way Analysis of Variance for Independent Measures Design --
Assumptions --
Illustration I --
Partitioning of Total Variation in the Design --
Computation --
Explanation --
Partitioning of SS and Degrees of Freedom --
Computation --
Correction Factor --
Raw Sum of Squares --
Total Sum of Squares --
Sum of Squares between Groups --
Sum of Squares within Groups --
ANOVA Table --
Results --
Post-Hoc Analysis --
Means Plot --
Repeated Measures Design --
When to Use Repeated Measures ANOVA --
Assumptions --
Solving Repeated Measures Design with One-Way ANOVA --
Illustration II --
Hypothesis Construction --
Layout Design --
One-Way Repeated Measures ANOVA Model --
Computation in Repeated Measures Design with One-Way ANOVA --
Explanation --
Computation --
Correction Factor --
Raw Sum of Squares. Total Sum of Squares --
Sum of Squares between Treatments --
Sum of Squares between Subjects --
Sum of Squares Due to Error --
ANOVA Table --
Testing Sphericity Assumption --
Correcting for Degrees of Freedom --
Correction by Using Lower Bound --
Correction by Using Greenhouse-Geisser --
Correction by Using Huynh-Feldt --
Results --
Pair-Wise Comparison of Means --
Bonferroni Correction --
Effect Size --
Exercise --
Assignment --
Bibliography --
Chapter 3 Testing Assumptions in Repeated Measures Design Using SPSS --
Introduction --
First Step in Using SPSS --
Assumptions --
Testing Normality --
Test of Normality --
Q-Q Plot for Normality --
Box-plot for Identifying Outliers --
Testing Sphericity --
Remedial Measures When Assumption Fails --
Transforming Nonnormal Data into Normal --
Choice of Design and Sphericity --
Sample Size Determination --
Important Terms --
Confidence Interval --
Confidence Level --
Power of the Test --
Sample Size Determination on the Basis of Cost --
Sample Size Determination on the Basis of Accuracy Factor --
Sample Size in Estimating Mean --
Sample Size in Hypothesis Testing --
Exercise --
Assignment --
Bibliography --
Chapter 4 One-Way Repeated Measures Design --
Introduction to Design --
Advantage of One-Way Repeated Measures Design --
Weakness of Repeated Measures Design --
Application --
Layout Design --
Case I: When the Levels of Within-Subjects Variable are Different Treatments --
Case II: When the Levels of Within-Subjects Variable are Different Time Durations --
Steps in Solving One-Way Repeated Measures Design --
Illustration --
Testing Assumptions --
Layout Design --
Distribution of Variation and Degrees of Freedom --
Hypothesis Construction --
Level of Significance --
Solving One-Way Repeated Measures Design Using SPSS --
SPSS Output and Interpretation --
Descriptive Statistics --
Testing Sphericity. Correction for Sphericity --
Testing Significance of Within-Subjects Effect --
Pairwise Comparison of Marginal Means --
Marginal Means Plot --
How to Report the Findings --
Inference --
Exercise --
Assignment --
Bibliography --
Chapter 5 Two-Way Repeated Measures Design --
Introduction --
Advantages of Using Two-Way Repeated Measures Design --
Assumptions --
Layout Design --
Case I: When Levels of Within-Subjects Variable are Different Treatment --
Case II: When the Levels of the Within-Subjects Variable are Different Time Durations --
Application --
Steps in Solving Two-Way Repeated Measures Design --
Illustration --
Layout Design --
Distribution of Variation and Degrees of Freedom --
Research Questions --
Hypotheses Construction --
Level of Significance --
Solving Repeated Measures Design with Two-Way ANOVA Using SPSS --
SPSS Output and Interpretation --
Testing Assumptions --
Data Type --
Independence of Measurement --
Normality --
Sphericity --
Correction for Sphericity --
Descriptive Statistics --
Testing Main Effect of Music (Within-Subjects) --
Pairwise Comparison of Marginal Means of Music Groups --
Means Plot of Music --
Testing Main Effect of Environment (Within-Subjects) --
Testing Significance of Interaction (Environment x Music) --
Type I Error for Simple Effect --
Simple Effect of Environment (Within-Subjects) --
Testing Sphericity Assumption --
Testing Significance of F Values --
Pairwise Comparisons of Means of Environment Groups in Each Music Group --
Marginal Means Plots (Music x Environment) --
Simple Effect of Music (Within-Subjects) --
Testing Sphericity Assumption --
Testing Significance of F Values --
Pairwise Comparison of Means of Music Groups in Each Environment Group --
Marginal Means Plots (Environment x Music) --
How to Report the Findings --
Assumptions --
Testing Main Effects --
Testing Simple Effects --
Inference. Exercise --
Assignment --
Bibliography --
Chapter 6 Two-Way Mixed Design --
Introduction --
Advantages of Two-Way Mixed Design --
Assumptions --
Application --
Layout Design --
Case I: When Levels of the Within-Subjects Factor are Different Treatment --
Case II: When Levels of the Within-Subjects Factor are Different Time Durations --
Steps in Solving Mixed Design with Two-Way ANOVA --
Illustration --
Layout Design --
Distribution of Variation and Degrees of Freedom --
Research Questions --
Hypothesis Construction --
Level of Significance --
Solving Mixed Design with Two-Way ANOVA using SPSS --
SPSS Outputs and Interpretation --
Testing Assumptions --
Assumption of Normality --
Homogeneity of Variance Covariance Matrices --
Homogeneity of Variance --
Sphericity Assumption --
Descriptive Statistics --
Testing Main Effect of Movie (within-Subjects) --
Pair-Wise Comparison of Marginal Means of Movie Groups --
Means Plot of Movie --
Testing Main Effect of Age (between-Subjects) --
Pair-Wise Comparison of Marginal Means of Age Groups --
Means Plot of Age --
Testing Significance of Interaction (Movie x Age) --
Simple Effect of Movie (within-Subjects) --
Simple Effect of Age (between-Subjects) --
How to Report the Findings --
Assumptions --
Testing Main Effects --
Testing Simple Effects --
Inference --
Exercise --
Assignment --
Bibliography --
Chapter 7 One-Way Repeated Measures MANOVA --
Introduction --
When to Use Repeated Measures MANOVA? --
Why to Use Repeated Measures MANOVA? --
Assumptions --
Application --
Layout Design --
Case I: When Levels of Within-Subjects Factor are Different Treatment --
Case II: When Levels of Within-Subjects Factor are Different Time Durations --
Steps in Solving One-Way Repeated Measures MANOVA --
Illustration --
Layout Design --
Research Questions --
Hypotheses Construction --
Level of Significance. Solving One-Way Repeated Measures MANOVA Design with SPSS --
SPSS Output and Interpretation --
Descriptive Statistics --
Testing Assumptions --
Testing Correlation --
Testing Normality --
Testing Outliers --
Multivariate Testing --
Univariate Testing --
Testing Sphericity --
Pair-Wise Comparison of Marginal Means --
Means Plot of Maths --
Means Plot of English --
Means Plot of Reasoning --
How to Report the Findings --
Assumptions --
Testing Multivariate Effect --
Testing Univariate Effect --
Inference --
Exercise --
Assignment --
Bibliography --
Chapter 8 Mixed Design with Two-Way MANOVA --
Introduction --
What Happens in MANOVA Experiment --
Assumptions --
Multivariate Analysis --
Univariate Analysis --
Layout Design --
Case I: When the Levels of Within-Subjects Factor are Different Treatment --
Case II: When the Levels of the Within-Subjects Factor are Different Time Durations --
Application --
Steps in Solving Mixed Design with Two-Way MANOVA --
Illustration --
Layout Design --
Research Questions --
Hypotheses Construction --
Level of Significance --
Solving Mixed Design with Two-Way MANOVA Using SPSS --
SPSS Output and Interpretation --
Multivariate Outcome --
Main Effect of Each Dependent Variable --
Simple Effect of Each Dependent Variable --
Testing Assumptions --
Data Type --
Testing Correlations --
Testing Normality --
Testing Outliers --
Homogeneity of Variances --
Homogeneity of Variance Covariance Matrices --
Sphericity Assumption for Within-Subjects Conditions --
Multivariate Testing --
Univariate Testing --
Main Effect of Between-Subjects Factor (Sex) --
Main Effect of Within-Subjects Factor (Chocolate) --
Level of Significance for Simple Effect --
Simple Effect on Taste --
Simple Effect on Crunchiness --
Simple Effect on Flavor --
Means Plots (Sex x Chocolate) --
How to Report Findings --
Assumptions --
Multivariate Effects.
Responsibility: J.P. Verma.

Abstract:

Introduces the applications of repeated measures design processes with the popular IBM SPSS software Repeated Measures Design for Empirical Researchers presents comprehensive coverage of the formation of research questions and the analysis of repeated measures using IBM SPSS and also includes the solutions necessary for understanding situations where the designs can be used. In addition to explaining the computation involved in each design, the book presents a unique discussion on how to conceptualize research problems as well as identify appropriate repeated measures designs for research purposes. Featuring practical examples from a multitude of domains including psychology, the social sciences, management, and sports science, the book helps readers better understand the associated theories and methodologies of repeated measures design processes. The book covers various fundamental concepts involved in the design of experiments, basic statistical designs, computational details, differentiating independent and repeated measures designs, and testing assumptions. Along with an introduction to IBM SPSS software, Repeated Measures Design for Empirical Researchers includes: -A discussion of the popular repeated measures designs frequently used by researchers, such as one-way repeated measures ANOVA, two-way repeated measures design, two-way mixed design, and mixed design with two-way MANOVA -Coverage of sample size determination for the successful implementation of designing and analyzing a repeated measures study -A step-by-step guide to analyzing the data obtained with real-world examples throughout to illustrate the underlying advantages and assumptions -A companion website with supplementary IBM SPSS data sets and programming solutions as well as additional case studies Repeated Measures Design for Empirical Researchers is a useful textbook for graduate- and PhD-level students majoring in biostatistics, the social sciences, psychology, medicine, management, sports, physical education, and health. The book is also an excellent reference for professionals interested in experimental designs and statistical sciences as well as statistical consultants and practitioners from other fields including biological, medical, agricultural, and horticultural sciences. J.P. Verma, PhD, is Professor of Statistics and Director of the Center for Advanced Studies at Lakshmibai National Institute of Physical Education, India. Professor Verma is an active researcher in sports modeling and data analysis and has conducted many workshops on research methodology, research designs, multivariate analysis, statistical modeling, and data analysis for students of management, physical education, social science, and economics. He is the author of Statistics for Exercise Science and Health with Microsoft Office Excel, also published by Wiley.

Reviews

User-contributed reviews
Retrieving GoodReads reviews...
Retrieving DOGObooks reviews...

Tags

Be the first.
Confirm this request

You may have already requested this item. Please select Ok if you would like to proceed with this request anyway.

Linked Data


Primary Entity

<http://www.worldcat.org/oclc/898334482> # Repeated measures design for empirical researchers
    a schema:Book, schema:CreativeWork, schema:MediaObject ;
    library:oclcnum "898334482" ;
    library:placeOfPublication <http://id.loc.gov/vocabulary/countries/nju> ;
    schema:about <http://experiment.worldcat.org/entity/work/data/2250379789#Topic/experimental_design> ; # Experimental design
    schema:about <http://dewey.info/class/001.42/e23/> ;
    schema:about <http://experiment.worldcat.org/entity/work/data/2250379789#Topic/science_methodology> ; # Science--Methodology
    schema:about <http://experiment.worldcat.org/entity/work/data/2250379789#Topic/reference_questions_&_answers> ; # REFERENCE / Questions & Answers
    schema:bookFormat schema:EBook ;
    schema:creator <http://experiment.worldcat.org/entity/work/data/2250379789#Person/verma_j_p> ; # J. P. Verma
    schema:datePublished "2015" ;
    schema:description "Cover -- Title Page -- Copyright -- Dedication -- Contents -- Preface -- Illustration Credits -- Chapter 1 Foundations of Experimental Design -- Introduction -- What is Experimental Research? -- Design of Experiment and its Principles -- Randomization -- Replication -- Blocking -- Statistical Designs -- Completely Randomized Design -- Randomized Block Design -- Matched Pairs Design -- Latin Square designs -- Factorial Experiment -- Terminologies in Design of Experiment -- Subject -- Experimental Unit -- Factor and Treatment -- Criterion Variable -- Variation and Variance -- Experimental Error -- External Validity -- Internal Validity -- Considerations in Designing an Experiment -- Systematic Variance -- Extraneous Variance -- Randomization Method -- Elimination Method -- Matching Group Method -- Adding Additional Independent Variable -- Statistical Control -- Error Variance -- Exercise -- Assignment -- Bibliography -- Chapter 2 Analysis of Variance and Repeated Measures Design -- Introduction -- Understanding Variance and Sum of Squares -- One Way Analysis of Variance for Independent Measures Design -- Assumptions -- Illustration I -- Partitioning of Total Variation in the Design -- Computation -- Explanation -- Partitioning of SS and Degrees of Freedom -- Computation -- Correction Factor -- Raw Sum of Squares -- Total Sum of Squares -- Sum of Squares between Groups -- Sum of Squares within Groups -- ANOVA Table -- Results -- Post-Hoc Analysis -- Means Plot -- Repeated Measures Design -- When to Use Repeated Measures ANOVA -- Assumptions -- Solving Repeated Measures Design with One-Way ANOVA -- Illustration II -- Hypothesis Construction -- Layout Design -- One-Way Repeated Measures ANOVA Model -- Computation in Repeated Measures Design with One-Way ANOVA -- Explanation -- Computation -- Correction Factor -- Raw Sum of Squares."@en ;
    schema:description "Introduces the applications of repeated measures design processes with the popular IBM SPSS software Repeated Measures Design for Empirical Researchers presents comprehensive coverage of the formation of research questions and the analysis of repeated measures using IBM SPSS and also includes the solutions necessary for understanding situations where the designs can be used. In addition to explaining the computation involved in each design, the book presents a unique discussion on how to conceptualize research problems as well as identify appropriate repeated measures designs for research purposes. Featuring practical examples from a multitude of domains including psychology, the social sciences, management, and sports science, the book helps readers better understand the associated theories and methodologies of repeated measures design processes. The book covers various fundamental concepts involved in the design of experiments, basic statistical designs, computational details, differentiating independent and repeated measures designs, and testing assumptions. Along with an introduction to IBM SPSS software, Repeated Measures Design for Empirical Researchers includes: -A discussion of the popular repeated measures designs frequently used by researchers, such as one-way repeated measures ANOVA, two-way repeated measures design, two-way mixed design, and mixed design with two-way MANOVA -Coverage of sample size determination for the successful implementation of designing and analyzing a repeated measures study -A step-by-step guide to analyzing the data obtained with real-world examples throughout to illustrate the underlying advantages and assumptions -A companion website with supplementary IBM SPSS data sets and programming solutions as well as additional case studies Repeated Measures Design for Empirical Researchers is a useful textbook for graduate- and PhD-level students majoring in biostatistics, the social sciences, psychology, medicine, management, sports, physical education, and health. The book is also an excellent reference for professionals interested in experimental designs and statistical sciences as well as statistical consultants and practitioners from other fields including biological, medical, agricultural, and horticultural sciences. J.P. Verma, PhD, is Professor of Statistics and Director of the Center for Advanced Studies at Lakshmibai National Institute of Physical Education, India. Professor Verma is an active researcher in sports modeling and data analysis and has conducted many workshops on research methodology, research designs, multivariate analysis, statistical modeling, and data analysis for students of management, physical education, social science, and economics. He is the author of Statistics for Exercise Science and Health with Microsoft Office Excel, also published by Wiley."@en ;
    schema:exampleOfWork <http://worldcat.org/entity/work/id/2250379789> ;
    schema:genre "Electronic books"@en ;
    schema:inLanguage "en" ;
    schema:isSimilarTo <http://worldcat.org/entity/work/data/2250379789#CreativeWork/repeated_measures_design_for_empirical_researchers> ;
    schema:name "Repeated measures design for empirical researchers"@en ;
    schema:productID "898334482" ;
    schema:url <http://0-site.ebrary.com.oasys.lib.oxy.edu/lib/occidental/Doc?id=11092842> ;
    schema:url <http://0-ebookcentral.proquest.com.oasys.lib.oxy.edu/lib/oxy/detail.action?docID=1896010> ;
    schema:url <http://site.ebrary.com/lib/ucmerced/Top?id=11092842> ;
    schema:url <http://public.eblib.com/choice/PublicFullRecord.aspx?p=1896010> ;
    schema:url <http://ebookcentral.proquest.com/lib/ucm/detail.action?docID=1896010> ;
    schema:url <http://ebookcentral.proquest.com/lib/columbia/detail.action?docID=1896010> ;
    schema:url <http://rbdigital.oneclickdigital.com> ;
    schema:url <http://proxy.ufv.ca:2048/login?url=http://site.ebrary.com/lib/ucfv/Doc?id=11092842> ;
    schema:url <https://ezproxy.kpu.ca:2443/login?url=http://site.ebrary.com/lib/kwantlen/Doc?id=11092842> ;
    schema:url <http://ebookcentral.proquest.com/lib/soas-ebooks/detail.action?docID=1896010> ;
    schema:url <http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=1055949> ;
    schema:url <http://site.ebrary.com/lib/interpuertorico/Doc?id=11092842> ;
    schema:workExample <http://worldcat.org/isbn/9781119052500> ;
    schema:workExample <http://worldcat.org/isbn/9781119052692> ;
    wdrs:describedby <http://www.worldcat.org/title/-/oclc/898334482> ;
    .


Related Entities

<http://0-ebookcentral.proquest.com.oasys.lib.oxy.edu/lib/oxy/detail.action?docID=1896010>
    rdfs:comment "Read e-book on Ebook Central (Occidental College authentication required)" ;
    .

<http://0-site.ebrary.com.oasys.lib.oxy.edu/lib/occidental/Doc?id=11092842>
    rdfs:comment "View this book from e-brary (Occidental College authentication required)" ;
    .

<http://ebookcentral.proquest.com/lib/soas-ebooks/detail.action?docID=1896010>
    rdfs:comment "Connect to electronic book via Ebook Central." ;
    .

<http://experiment.worldcat.org/entity/work/data/2250379789#Person/verma_j_p> # J. P. Verma
    a schema:Person ;
    schema:familyName "Verma" ;
    schema:givenName "J. P." ;
    schema:name "J. P. Verma" ;
    .

<http://experiment.worldcat.org/entity/work/data/2250379789#Topic/experimental_design> # Experimental design
    a schema:Intangible ;
    schema:name "Experimental design"@en ;
    .

<http://experiment.worldcat.org/entity/work/data/2250379789#Topic/reference_questions_&_answers> # REFERENCE / Questions & Answers
    a schema:Intangible ;
    schema:name "REFERENCE / Questions & Answers"@en ;
    .

<http://experiment.worldcat.org/entity/work/data/2250379789#Topic/science_methodology> # Science--Methodology
    a schema:Intangible ;
    schema:name "Science--Methodology"@en ;
    .

<http://proxy.ufv.ca:2048/login?url=http://site.ebrary.com/lib/ucfv/Doc?id=11092842>
    rdfs:comment "An electronic book accessible through the World Wide Web; click to view" ;
    .

<http://site.ebrary.com/lib/interpuertorico/Doc?id=11092842>
    rdfs:comment "An electronic book accessible through the World Wide Web; click to view" ;
    .

<http://worldcat.org/entity/work/data/2250379789#CreativeWork/repeated_measures_design_for_empirical_researchers>
    a schema:CreativeWork ;
    rdfs:label "Repeated measures design for empirical researchers" ;
    schema:description "Print version:" ;
    schema:isSimilarTo <http://www.worldcat.org/oclc/898334482> ; # Repeated measures design for empirical researchers
    .

<http://worldcat.org/isbn/9781119052500>
    a schema:ProductModel ;
    schema:description "ePub" ;
    schema:isbn "1119052505" ;
    schema:isbn "9781119052500" ;
    .

<http://worldcat.org/isbn/9781119052692>
    a schema:ProductModel ;
    schema:isbn "1119052696" ;
    schema:isbn "9781119052692" ;
    .

<https://ezproxy.kpu.ca:2443/login?url=http://site.ebrary.com/lib/kwantlen/Doc?id=11092842>
    rdfs:comment "An electronic book accessible through the World Wide Web; click to view" ;
    .


Content-negotiable representations

Close Window

Please sign in to WorldCat 

Don't have an account? You can easily create a free account.