A Comprehensive Guide for Design, Collection, Analysis and Presentation of Likert and other Rating Scale Data: Analysis of Likert Scale Data (1) - Softcover

Roy, Ajit

Softcover

ISBN 13: 9798666960257

Publisher: Independently published, 2020

Synopsis

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 followsDifferences between Likert-type or Likert scale dataLikert-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 ScalePictorial 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.

About this title

About the Author

Awardwinning Key Note Speaker at International Level, Professor Ajit KumarRoy is an acclaimed researcher and consultant. Prof. Roy obtained hisM.Sc. degree in Statistics and joined Agricultural Research Service(ARS) of Indian Council of Agricultural Research (ICAR) as a Scientist (Statistics)in 1976. In recent past was engaged as National Consultant (Impact Assessment),for East &North-Eastern States of India at National Agricultural InnovationProject (World Bank funded) of ICAR. Earlier he had served as a Consultant(Statistics) at Central Agricultural University, Agartala. Earlier had servedat CIFA, ICAR, as Principal Scientist and was involved in applied research inthe areas of ICT, Statistics, Bioinformatics Analytics, and Economics. At Internationallevel, he served as a Computer Specialist at SAARC Agricultural InformationCentre (SAIC), Dhaka, Bangladesh for over 3 years.
The authorwith over 45 years of research and teaching experience in Statistical Analysis,Analytics, and information & Knowledge management edited twenty books andseveral conference proceedings. Besides, published over 100 articles in refereedjournals. His recent best-sellers are 'Big Dataand Data Science Initiative in India-Upcoming Job Opportunities(Vol.-2);' Bigdata Job Opportunities in India (Big Data-Series-4 Book 1);'Applied Big DataAnalytics'; 'Impact of Big Data Analytics on Business, Economy, Health Care andSociety'; 'Data Science - A Career Option for 21st Century'; 'Self-Learning ofBioinformatics Online.
Heis a Member, Organizing Committee Board for the 6th InternationalConference on 'Biometrics and Biostatistics' to be held during, November13-14, 2017 Atlanta, Georgia, USA. Editorial Board Member, Jacobs Journal ofBiostatistics, Jacobs Publishers, 900 Great Hills, Trail # 150 w, Austin,Texas. He now works as Visiting Professor, question setter and examiner of fourIndian Universities.

From the Back Cover

Aboutthe book
It is believed that human being is the complex in nature Over the years,numerous methods have been used to measure character and personality traits ofthe human though it is very difficult to measure attitude, character andpersonality in numerical form. Likert(1932) introduced the summative method to measure attitudes which is nowpopularly known as Likert Scale and has been widely using as a tool to collectdata specifically in survey research Though many scales have been developed bypsychologists to measure the attitude of people in a direct way, the Likertscale is by far the best and most used scale. Likert scale isapplied as one of the most fundamental and frequently used psychometric toolsin educational and social sciences research. Different variationsof Likert scale are focused directly on measuring the attitudes of people, suchas Guttman scale, Bogardus scale, Thurstone scale etc. The Likert scalehas become a favourite amongst researchers to collect opinions out of marketing research, customersatisfaction studies, psychometrics, opinion surveys, and numerous other fields.
It is observed that Researchers face a lot ofdifficulties in planning, design, collection, analysis and interpretation ofLikert Scale data. Therefore, as an aid for the researchers it is attempted towrite a book entitled 'A Comprehensive Guidefor Design, Collection, Analysis and Presentation of Likert and other RatingScale Data' on this subject with the following chapters1. Basics of Likert Scale 2.General Issues of Likert Scaling 3. Templates for Creating Likert Scales 4. Basic Concepts ofMeasurement 5. Analysis of Likert Data 6. Appropriate Chart or Graphfor Likert scale 7. Likert ScaleData Analysis with Statistical Software.
This book discusses variousefforts to identify, collect, analyse, improve, and present Likert datacollected by rating scales such as Likert Scale. Mostimportunately the book illustrates, review, and critique several forms ofcollection, analysis,
graphical presentation and interpretation ofresults from studies using rating scales.
The most salient and striking features coveredin this book are as follows
Ø Differences between Likert-type orLikert scale data
Ø Likert-type data is an ordinal data,therefore, non-parametric tests such as Mann Whitney-U test, Wilcoxonsigned-rank test, Kruskal-Wallis test should be used in lieu of parametrictests.
Ø Likert scale data, on the other hand, are analysed as interval data. and analysis that canbe performed includes mean for central tendency, standard deviations forvariability, Pearson's r for bivariate analysis, t-test and ANOVA for comparinggroup means, and regression procedures for associations.
Ø For Likert-type data modeor median is used for measuring central tendency and frequencies for variability.
Ø Analysis appropriate forordinal scale items that includes the chi-square measure ofassociation, Kendall Tau B, and Kendall Tau C.
ØThedispute over the use of parametric versus non-parametric methods for theanalysis of Likert scale ordinal data has raged for the past eight decades isdiscussed fully and suggested the right one.
Ø Focuses on validity,reliability and analysis of the Likert Scale
ØPictorialdisplay of several ways in which statistical data may be presented pictoriallysuch as different types of graphs and diagrams is covered.
Ø Demonstration for CalculatingDescriptive Statistics, Chi-Square Goodness-of-Fit, Mann-Whitney U Test, Sign Test,Wilcoxon-Mann-Whitney test and Cronbach's alpha with examples using SPSS.

Thebook being first of its kind helps to find right and relevant computational toolsand resources quickly, easily and how to use these independently, effectivelyand efficiently learn to use a resource for breakthrough research. This uniquebook presents major developments and trends in graduate students andresearchers of all disciplines dealing with of Social Sciences Researchparticularly dealing with measuring attitudes, behaviors and other psychologicaltraits as these are a person's predisposition torespond favourably or unfavourably to activities, people, events, and objects.An attitude is a psychological construct.
Ajit Kumar Roy

Edition details

• Publisher: Independently published
• Publication date: 2020
• Language: English
• ISBN 13: 9798666960257
• Binding: Paperback
• Number of pages: 520
• Editor: Roy Ajit