ANOVA repeated measures Ellen R. Girden.
Series Sage university papers series. Quantitative applications in the social sciences ; no. 07-084.Detalles de publicación: Newbury Park, Calif. Sage Publications c1992.Descripción: vi, 77 p. 22 cmISBN:- 0803942575 (pb)
- 300/.1/519538 20
- HA29 .G567 1992
| Imagen de cubierta | Tipo de ítem | Biblioteca actual | Biblioteca de origen | Colección | Ubicación en estantería | Signatura topográfica | Materiales especificados | Info Vol | URL | Copia número | Estado | Notas | Fecha de vencimiento | Código de barras | Reserva de ítems | Prioridad de la cola de reserva de ejemplar | Reservas para cursos | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Libro | Biblioteca Encarnación Valdés Colección General bev | 300.1 G524a (Navegar estantería(Abre debajo)) | Disponible | 80000001710360 |
Descripciones mejoradas de Syndetics:
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.
"A Sage university paper"--Cover.
Includes bibliographical references (p. 73-76).
Tabla de contenidos provista por Syndetics
- Introduction
- Repeated Measures Situations
- Single Factor Studies
- Two Factor Studies with Repeated Measures on Both Factors
- Two Factor Study with Repeated Measures on One Factor
- Three Factor Studies