Quantitative Methods in Educational and Social Research using SPSS

by Tolmie, Andy; Muijs, Daniel; McAteer, Erica

• ISBN13: 9780335233779
• ISBN10: 0335233775
• Edition: 1st
• Format: Paperback
• Copyright: 2011-11-01
• Publisher: Open University Press

Summary

Quantitative Methods in Educational and Social Research Using SPSSbridges the gap between introductory and advanced volumes on quantitative methods. Central to the text is an emphasis on the concept of modelling at the core of data analysis. The implications of the modelling approach are taken all the way back to the stages of research design and sampling, and use of simple descriptive statistics. Using this as a lens the book then moves on to explain carefully a full range of statistical techniques from basic procedures such as correlation and analysis of variance, to advanced methods such as multiple regression, path analysis and multilevel modelling. Key features of the book include: Crucial points illustrated by getting readers to work through key theoretical and analytical tasks A CD that offers step by step guidance on the use of SPSS and example analyses for each of the methods covered by the text Clear explanation of the conceptual background to all the analytical techniques included in the book A range of example datasets The aim throughout is to help you gain a fully-grounded conceptual grasp of different techniques, allowing you to apply these thoughtfully, as well as helping you progress towards a more advanced understanding through a step-by-step approach. This book is for you if you are a student or researcher in education or a related field and want an introductory resource that helps you get up to speed quickly.

Table of Contents

Section 1: Modeling and research design Chapter 1 An introduction to the concept of data modelling Chapter 2 Sampling Chapter 3 Survey and experimental research Chapter 4 Data sources in quantitative research Section 2: Modelling associations between variables Chapter 5 Modelling categorical data Chapter 6 Measuring association in continuous data Chapter 7 Multiple regression Chapter 8 Multiple regression with categorical predictors: Anova Section 3: Modelling and concepts of measurement Chapter 9 Concepts of measurement revisited Chapter 10 Measurement and factor analysis Chapter 11 Item Response Theory Section 4: Modelling complex relationships Chapter 12 Complex models in multiple regression Chapter 13 Multilevel modelling Chapter 14 Log-linear modelling Chapter 15 Logistic regression Chapter 16 Complex factorial and repeated measures analysesSPSS user guideGlossary