| Description |
vi, 77 pages ; 22 cm |
| Series |
Sage university papers.. Quantitative applications in the social sciences ; no. 07-084 |
|
Quantitative applications in the social sciences ; no. 07-084
|
| Contents |
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 |
"By focusing on situations in which analysis of variance (ANOVA) involves the repeated measurement of separate groups of individuals, 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 sums 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. In addition, the text includes the latest work on data with missing values and the use of quasi-F ratios when one or more independent variables is of the random effects type."--Pub. desc |
| Analysis |
Social sciences Statistical mathematics |
|
Social sciences Statistical mathematics |
| Notes |
"A Sage university paper"--Cover |
| Bibliography |
Includes bibliographical references (pages 73-76) |
| Notes |
Also available online |
|
Sage university papers series. no:07-084 |
| Subject |
Analysis of variance.
|
|
Social sciences -- Statistical methods.
|
|
Analysis of Variance [MESH]
|
|
Social Sciences [MESH]
|
|
Analysis of Variance.
|
|
Sociometric Techniques.
|
| LC no. |
91034563 |
| ISBN |
0803942575 (pb) |
|
