A Comprehensive Guide for Design, Collection, Analysis and Presentation of Likert and other Rating Scale Data: Analysis of Likert Scale Data

by Ajit Roy

It is observed that Researchers face a lot of difficulties in planning, design, collection, analysis and interpretation of Likert Scale data. Therefore, as an aid for the researchers it is attempted to write a book entitled ‘A Comprehensive Guide for Design, Collection, Analysis and Presentation of Likert and other Rating Scale Data’ on this subject with the following chapters 1. Basics of Likert Scale 2. General Issues of Likert Scaling 3. Templates for Creating Likert Scales 4. Basic Concepts of Measurement 5. Analysis of Likert Data 6. Appropriate Chart or Graph for Likert scale 7. Likert Scale Data Analysis with Statistical Software. This book discusses various efforts to identify, collect, analyse, improve, and present Likert data collected by rating scales such as Likert Scale. Most importunately the book illustrates, review, and critique several forms of collection, analysis, graphical presentation and interpretation of results from studies using rating scales. The most salient and striking features covered in this book are as follows  Differences between Likert-type or Likert scale data  Likert-type data is an ordinal data, therefore, non-parametric tests such as Mann Whitney-U test, Wilcoxon signed-rank test, Kruskal-Wallis test should be used in lieu of parametric tests.  Likert scale data, on the other hand, are analysed as interval data. and analysis that can be performed includes mean for central tendency, standard deviations for variability, Pearson’s r for bivariate analysis, t-test and ANOVA for comparing group means, and regression procedures for associations.  For Likert-type data mode or median is used for measuring central tendency and frequencies for variability.  Analysis appropriate for ordinal scale items that includes the chi-square measure of association, Kendall Tau B, and Kendall Tau C.  The dispute over the use of parametric versus non-parametric methods for the analysis of Likert scale ordinal data has raged for the past eight decades is discussed fully and suggested the right one.  Focuses on validity, reliability and analysis of the Likert Scale  Pictorial display of several ways in which statistical data may be presented pictorially such as different types of graphs and diagrams is covered.  Demonstration for Calculating Descriptive Statistics, Chi-Square Goodness-of-Fit, Mann-Whitney U Test, Sign Test, Wilcoxon-Mann-Whitney test and Cronbach's alpha with examples using SPSS.

354 pages, Kindle Edition

Published July 16, 2020

Reviews

[Shawn Aebi · Rating 1 out of 5]

To start with, it appears to be self-published because the choice of fonts and general readability of the words on the page was difficult at times (never said that about a book). But the content itself suffers as well - meanders, contradicts, and just not helpful at what I was trying to learn - how to analyze Likert data.