Discovering statistics using IBM SPSS Statistics / Andy Field
By: Field, Andy
Publisher: Los Angeles (USA) : SAGE, 2018Edition: 5th edDescription: 1070 p. : il. col. ; 27 cmISBN: 9781526419514; 9781526419521Subject(s): SPSS (Programa de ordenador) | Estadística | Ciencias sociales -- Métodos estadísticosSummary: Chapter 1: Why is my evil lecturer forcing me to learn statistics?
Chapter 2: The SPINE of statistics
Chapter 3: The phoenix of statistics
Chapter 4: The IBM SPSS Statistics environment
Chapter 5: Exploring data with graphs
Chapter 6: The beast of bias
Chapter 7: Non-parametric models
Chapter 8: Correlation
Chapter 9: The Linear Model (Regression)
Chapter 10: Comparing two means
Chapter 11: Moderation, mediation and multicategory predictors
Chapter 12: GLM 1: Comparing several independent means
Chapter 13: GLM 2: Comparing means adjusted for other predictors (analysis of covariance)
Chapter 14: GLM 3: Factorial designs
Chapter 15: GLM 4: Repeated-measures designs
Chapter 16: GLM 5: Mixed designs
Chapter 17: Multivariate analysis of variance (MANOVA)
Chapter 18: Exploratory factor analysis
Chapter 19: Categorical outcomes: chi-square and loglinear analysis
Chapter 20: Categorical outcomes: logistic regression
Chapter 21: Multilevel linear models
| Item type | Current location | Collection | Call number | Status | Date due | Barcode | Course reserves |
|---|---|---|---|---|---|---|---|
Libro
|
Biblioteca Universidad Europea del Atlántico Fondo General | No ficción | 519.22 FIE dis | Available | 4368 |
Evaluación de Programas e Intervenciones en Diferentes Contextos |
Chapter 1: Why is my evil lecturer forcing me to learn statistics?
Chapter 2: The SPINE of statistics
Chapter 3: The phoenix of statistics
Chapter 4: The IBM SPSS Statistics environment
Chapter 5: Exploring data with graphs
Chapter 6: The beast of bias
Chapter 7: Non-parametric models
Chapter 8: Correlation
Chapter 9: The Linear Model (Regression)
Chapter 10: Comparing two means
Chapter 11: Moderation, mediation and multicategory predictors
Chapter 12: GLM 1: Comparing several independent means
Chapter 13: GLM 2: Comparing means adjusted for other predictors (analysis of covariance)
Chapter 14: GLM 3: Factorial designs
Chapter 15: GLM 4: Repeated-measures designs
Chapter 16: GLM 5: Mixed designs
Chapter 17: Multivariate analysis of variance (MANOVA)
Chapter 18: Exploratory factor analysis
Chapter 19: Categorical outcomes: chi-square and loglinear analysis
Chapter 20: Categorical outcomes: logistic regression
Chapter 21: Multilevel linear models