Introduction

This introduction presents an overview of the key concepts discussed in the subsequent chapters of this book. The book examines statistical significance and the use of contingency tables. It considers exploratory factor analysis and why this is an important tool when exploring structures and relationships in Likert scale data. The book looks at how to perform simple logistic regression when the independent variable is either dichotomous, polychotomous, or continuous. It focuses on multinomial logistic regression to illustrate how this technique can be extended to incorporate models that have a dependent variable with three categories and a number of independent variables. The book explores the use of item response theory as a means of assessing questionnaires in relation to their latent traits. It investigates differential item testing using the Roets leadership and intrinsic motivation studies.