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## 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:

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