Doing quantitative research in education with SPSS Daniel Muijs.
Detalles de publicación: Thousand Oaks,CA Sage publications 2011Edición: 2 nd edDescripción: xv, 247 p. 24 cmISBN:- 9781849203241
- LB1028 .M775 2011
| 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 de Mayagüez Colección General mb | LB 1028 .M775 2011 (Navegar estantería(Abre debajo)) | Disponible | 50000003203899 |
Descripciones mejoradas de Syndetics:
Doing Quantitative Research in Education with SPSS, Second Edition, an accessible and authoritative introduction, is essential for education students and researchers needing to use quantitative methods for the first time.
Using datasets from real-life educational research and avoiding the use of mathematical formulae, the author guides students through the essential techniques that they will need to know, explaining each procedure using the latest version of SPSS. The datasets can also be downloaded from the book′s website, enabling students to practice the techniques for themselves.
This revised and updated second edition now also includes more advanced methods such as log linear analysis, logistic regression, and canonical correlation.
Written specifically for those with no prior experience of quantitative research, this book is ideal for education students and researchers in this field.
Includes bibliographical references and index.
eigm 03/2011
Tabla de contenidos provista por Syndetics
- List of figures(p. vii)
- List of tables(p. xi)
- Key product names of SPSS(p. xiii)
- Preface(p. xv)
- 1 Introduction to quantitative research(p. 1)
- 2 Experimental and quasi-experimental research(p. 11)
- 3 Designing non-experimental studies(p. 30)
- 4 Validity, reliability and generalisability(p. 56)
- 5 Introduction to PASW Statistics (IBM SPSS) and the data set(p. 73)
- 6 Univariate statistics(p. 79)
- 7 Bivariate analysis: comparing two groups(p. 98)
- 8 Bivariate analysis: looking at the relationship between two variables(p. 124)
- 9 Multivariate analysis: using regression models to look at the relationship between several predictors and one dependent variable(p. 138)
- 10 Using analysis of variance to compare more than two groups(p. 175)
- 11 Developing scales and measures: item and factor analysis(p. 198)
- 12 One step beyond: introduction to multilevel modelling and structural equation modelling(p. 225)
- References(p. 241)
- Index(p. 243)