505 0 1. Introduction -- 2. Repeated measures situations -- Advantages and disadvantages -- Counterbalancing -- Application of repeated measures designs -- 3. Single-factor studies -- Additive model -- Nonadditive model -- The analysis -- Validity assumptions of repeated measures ANOVA -- Adjusted degrees of freedom -- Trend analysis -- Multivariate approach -- ANOVA versus MANOVA -- Analyses of means differences -- Strength of association between independent and response variables -- 4. Two-factor studies with repeated measures on both factors -- Partitioning of sums of squares -- Calculation of sums of squares -- Mean squares and F ratios -- Assumptions of the factorial analysis with repeated measures -- Multivariate tests -- Analyses of means differences -- Strength of association between independent and response variables -- 5. Two-factor study with repeated measures on one factor -- Partitioning of sums of squares -- Computation of sums of squares -- Calculation of mean squares and F ratios -- Assumptions underlying the mixed design -- Multivariate analyses -- Analyses of means differences -- Quasi F ratios -- Pretest-posttest designs -- Strength of association between independent and response variables -- 6. Three-factor studies -- Studies with repeated measures on one factor -- Studies with repeated measures on two factors -- Missing data -- An actual study
Summary
In chapter 12 of his series on statistics for nursing using SPSS, Professor Herschel Knapp defines repeated measures. He explains the criteria for the test and demonstrates its execution in SPSS
Analysis
Social sciences Statistical mathematics
Bibliography
Includes bibliographical references (pages 73-76)
Performer
Presenter, Herschel Knapp
Audience
Specialized
Notes
Closed-captions in English
Online resource; title from home page (viewed on October 20, 2016)
