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Quantitative Analysis of Questionnaires

Steve Humble
€38.99
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A01=Steve Humble
advanced questionnaire data analysis
Analysis
Author_Steve Humble
Category=JNA
CFA
Contingency Tables
Data Set
Discrete Choice Theory
Discrimination Parameter
educational statistics
Educations
EFA
English Test Scores
eq_bestseller
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_society-politics
factor analysis
Fit Index Values
GEV Model
GRM
Hunger Scale
IIF
Item Characteristic Curves
Item Response Theory
Latent Model Structure
Latent Trait
measurement models
Multinomial Logistic Regression
Multiple Linear Regression
Non-mathematical
Order Latent Factor
Oxford Happiness Questionnaire
PCM
Principal Factor Analysis
psychometric analysis
Quantitative Methods
Questionnaires
Reference Cell Coding
Research methods in education
School Management Types
Sequential Mixed Methods Research Design
significance testing
social science research
SPSS
STATA
statistical software application
Steve Humble
survey data interpretation
Surveys

Product details

  • ISBN 9780367022839
  • Weight: 360g
  • Dimensions: 156 x 234mm
  • Publication Date: 23 Jan 2020
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Paperback
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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.

About Steve Humble

Steve Humble MBE is a senior lecturer and Head of Education at Newcastle University, UK. He teaches undergraduate and graduate advanced quantitative methods and is an expert around collecting and analysing data from large samples using advanced statistical techniques in both SPSS and Stata.

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