Exploratory Factor analysis is a research tool that can be used to make sense of multiple variables which are thought to be related. This can be particularly useful when a qualitative methodology may be the more appropriate method for collecting data or measures, but quantitative analysis enables better reporting. This case first gives a brief…

Data in the social sciences often do not conform to what a researcher would like in order to have an unproblematic analysis using some form of linear regression. Especially, when data reflect counts, a number of potential problems arise. This case study discusses challenges that occurred when applying the models and examines the results. Finally,…

This case study presents an example of using a generalized linear model with a log-linear link to calculate an adjusted risk ratio to be able to assess the association between educational attainment and obesity in a cohort study of American adults. Both risk ratios and odds ratios can be calculated based on cohort study data, and risk ratios are…

This case study describes a program of research that developed a new measure--the Adaptability Scale--and then tested this new measure through a set of substantive research questions and publications. Three phases of this research program are detailed: a measurement phase, a modeling phase, and a mediation phase. The aim of this case study is to…

This case study shares the research process of one upper level undergraduate research methods course for Communication Studies and Public Relations students at a mid-sized public college in the Northeastern United States. As a way to demonstrate both quantitative and qualitative research, students worked on survey design for three different…

This research project case study describes the research practicalities and design of a mixed methods dissertation study about the language-learning motivation of students who had attended a language immersion school. Mixed methods research, an approach to research in which elements of both quantitative (numbers-focused) and qualitative…

This book provides a clear introduction to widely used topics in bivariate and multivariate statistics, including multiple regression, discriminant analysis, MANOVA, factor analysis, and binary logistic regression. The approach is applied and does not require formal mathematics; equations are accompanied by verbal explanations. Students are asked…