ENGLISH

Quantitative Analysis Of Questionnaires: Techniques To Explore Structures And Relationships

Book information

Publisher
Routledge/Taylor & Francis Group
Year
2020
ISBN
0367022834, 9780367022839, 0367022796, 9780367022792, 0429400462, 9780429400469, 0429682743, 9780429682742, 0429682727, 9780429682728, 0429682735, 9780429682735
Language
english
Format
PDF
Filesize
7 MB (7244961 bytes)
Edition
1st Edition
Pages
234\234
Time added
2020-07-08 20:44:10

Description

Bringing together the techniques required to understand, interpret and quantify the processes involved when exploring structures and relationships in questionnaire data, Quantitative Analysis of Questionnaires provides the knowledge and capability for a greater understanding of choice decisions. The ideal companion for non-mathematical students with no prior knowledge of quantitative methods, it highlights how to uncover and explore what lies within data that cannot be achieved through descriptive statistics. This book introduces significance testing, contingency tables, correlations, factor analysis (exploratory and confirmatory), regression (linear and logistic), discrete choice theory and item response theory. Using simple and clear methodology, and rich examples from a range of settings, this book: • provides hands-on analysis with data sets from both SPSS and Stata packages; • explores how to articulate the calculations and theory around statistical techniques; • offers workable examples in each chapter with concepts, applications and proofs to help produce a higher quality of research outputs; • discusses the use of formulas in the appendix for those who wish to explore a greater mathematical understanding of the concepts. Quantitative Analysis of Questionnaires is the ideal introductory textbook for any student looking to begin and or improve statistical learning as well as interpretation. Cover ......Page 1 Half Title ......Page 2 Title Page......Page 4 Copyright Page ......Page 5 Table of Contents ......Page 6 List of illustrations......Page 9 About the author ......Page 14 About the book......Page 15 1. Introduction ......Page 18 Criteria for statistical testing......Page 21 Types of data......Page 22 Data sets used as example studies......Page 23 Missing data......Page 33 Statistical significance......Page 37 Contingency tables......Page 38 How to report contingency tables......Page 44 3. Factor analysis: Exploratory ......Page 47 Exploratory factor analysis......Page 48 Discovering latent factors......Page 49 Factor analysis for data reduction......Page 58 Calculating and using latent factors in future analysis......Page 61 Missing values......Page 63 How to report factor analysis......Page 64 Scatter diagram......Page 68 Correlation......Page 71 Kendall’s Tau correlation (τ)......Page 81 How to report correlations......Page 82 Calculating correlation with Stata and SPSS ......Page 83 Linear regression......Page 84 Multivariate linear regression......Page 88 How to report linear regression......Page 94 5. Factor analysis: Confirmatory ......Page 96 Constructing First Order CFA Models......Page 97 More complex CFA models......Page 104 Uncovering structures in questionnaires ......Page 107 Longitudinal measurement invariance......Page 112 How to report confirmatory factor analysis......Page 113 Simple logistic regression......Page 117 Multivariable analysis......Page 127 Complex multinomial models......Page 134 How to report logistic regression......Page 137 7. Making choices: Discrete choice theory ......Page 140 A simple consumer choice model......Page 141 Multinomial logistic regression model with socio-economic factors ......Page 149 Ordered logit choice model......Page 155 The range of discrete choice models......Page 164 How to calculate ordered and ordinal regression......Page 165 8. Item response theory ......Page 167 Item response model......Page 168 Differential item testing......Page 174 Graded Response Model (GRM)......Page 176 Information function......Page 178 Reliability of measures when collapsing Likert scale categories......Page 183 Multiple imputation......Page 189 Distribution fitting......Page 190 Factor analysis......Page 193 Correlation......Page 197 Linear regression......Page 201 Sample size......Page 205 Confirmatory Factor Analysis (CFA)......Page 206 Logistic regression......Page 207 Marginal effects......Page 213 Discrete choice theory......Page 214 Longitudinal data analysis......Page 216 Item response theory......Page 218 References......Page 222 Index......Page 232

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