Skip to Main Content
This course discusses common statistical methodologies for analysing data using SPSS, that were not addressed in Quantitative Methods I: non-parametric models, correlations, linear regressions, chi-square and loglinear analysis, logistic regressions, multilevel linear models. The main focus is (a) on understanding these statistical methodologies and on knowing when and how to apply them, using SPSS, when conducting research in the field of psychology or other social sciences (i.e., conducting the analysis, correctly reporting your outcomes and draw the right conclusions from your findings). Moreover, (b) based on the statistical knowledge obtained being able to understand research papers published in the literature (in the field of Psychology and other social sciences) and critically evaluate the reported study findings.
This book is to familiarize behavioral and social science students with statistics. The difficulty upgrades as readers go through the book: Chapters 1-10 are first-year degree level; Chapters 9-16 move into second-year degree level; and Chapters 17-21 discuss more technical topics. Part 1 focuses on doing research and introducing linear models. Part 2 focuses on exploring data. Part 3 deals with lineal models with continuous predictors. Part 4 deals with lineal models with continuous or categorical predictors. Part 5 deals with lineal models with multiple outcomes. Part 6 deals with lineal models with categorical outcomes. Part 7 deals with lineal models with hierarchical data structures.
