by Faye Anderson (Author)
This is an applied handbook on Likert scale data analysis with annotated examples using S-Plus, R, or R Studio. Topics covered include exploratory data analysis, hypothesis testing, graphing, and modeling. Although the examples are presented in R, their results and interpretations are applicable to any other software's analyses.Likert scale data is psychometrically scaled responses data collected from surveys. They are make surveys easier for designers and respondents by providing enough categories for the respondents to pick from. This book answers the following four questions:1. Is Likert scale data categorical or continuous?2. What are the best ways to conduct exploratory data analysis for Likert scale data?3. How can Likert scale data be converted into continuous data?4. How can Likert scale data be modeled using linear regression?