ANOVA : repeated measures / Ellen R. Girden.
Τύπος υλικού: ΚείμενοΣειρά: Quantitative applications in the social sciences ; no. 07-084.Λεπτομέρειες δημοσίευσης: Newbury Park, Calif. : Sage Publications, c1992.Περιγραφή: 1 ηλεκτρονική πηγή (vi, 77 σ)ISBN:- 0585212074
- 9780585212074
- 9781412983419
- 141298341X
- 300/.1/519538 20
"A Sage university paper"--Cover.
Includes bibliographical references (pages 73-76).
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.
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.