Descripciones mejoradas de Syndetics:

Statistics play a major role in psychological research. However, there is no text that bridges the gap between the very general introductory books and the highly technical research-level studies. Making Sense of Statistics in Psychology fills this need, with the added advantages of examples and data sets relevant to actual problems in behavioral science; an emphasis on graphical presentation; and a focus on computer methods rather than basic arithmetic. A unique feature is the collection of challenging data sets, the majority from actual psychological research. Many of these data sets are also stored on the disk that accompanies the book, thus allowing students to run both the analyses described and their own attempts at extending them. It is also ideal for more experienced researchers who want a quick reference or refresher on statistics.

Tabla de contenidos provista por Syndetics

• Chapter 1 Data, models, and a little history
• Chapter 2 Graphical methods
• Chapter 3 One-way designs
• Chapter 4 Factorial designs
• Chapter 5 Repeated measure designs
• Chapter 6 Simple linear regression and multiple regression
• Chapter 7 Log-linear models and logistics regression
• Chapter 8 The generalised linear model
• Chapter 9 Distribution-free, computer-intensive models
• Chapter 10 Multivariate analysis I: principle components analysis and exploratory factor analysis
• Chapter 11 Multivariate analysis II - confirmatory factor analysis and covariance structure modelling
• Chapter 12 Multivariate analysis III - Cluster analysis, discriminant analysis, and multidimensional scaling
• Chapter 13 Measuring reliability

Notas de autor provistas por Syndetics