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Doing Quantitative Research in Education: with SPSS / Edition 1

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Overview

This book provides an introduction to using quantitative methods in educational research. The author writes for non-mathematical students, avoiding the use of mathematical formulae wherever possible. No prior knowledge of quantitative methods is needed to use this book. The author's approach features

· a realistic approach, using actual databases

· an emphasis on the use of effect sizes

· a user-friendly approach, based on the latest version of SPSS throughout.

The use of two real educational datasets keeps the content relevant, and shows students the imperfections and problems which they will meet in real-life research. The datasets use common international measures and access to the datasets, allowing students to practice and answer the questions that follow each chapter, is available though the book website.

This book is for researchers and students studying research methods in education. It is suitable as a main textbook for quantitative methods courses, as well as a resource for researchers in this field.

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Product Details

  • ISBN-13: 9780761943839
  • Publisher: SAGE Publications
  • Publication date: 4/1/2004
  • Edition description: Older Edition
  • Edition number: 1
  • Pages: 240
  • Product dimensions: 6.70 (w) x 9.40 (h) x 0.60 (d)

Meet the Author

Professor Daniel Muijs is Chair of Education. Previously he worked at the University of Manchester as Chair of Pedagogy and Teacher Development at the University of Manchester, School of Education, as Chair of School Leadership and Management at the University of Newcastle and as senior at Warwick Institute of Education. He is an acknowledged expert in the field of Educational and Teacher Effectiveness and is co-editor of the journal ‘School Effectiveness and School Improvement’. He has published widely in the areas of educational effectiveness, leadership and research methods, and has conducted research for government agencies (DCSF, NCSL, QCA), Charitable Trusts (Gatsby) and Research Councils (ESRC).
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Table of Contents

Introduction to Quantitative Research
Experimental and Quasi-Experimental Research
Designing Non-Experimental Studies
Validity, Reliability and Generalizability
Introduction to SPSS and the Dataset
Univariate Statistics
Bivariate Analysis
Comparing Two Groups
Bivariate Analysis
Looking at the Relationship between Two Variables
Multivariate Analysis
Using Multiple Linear Regression to Look at the Relationship between Several Predictors and One Dependent Variable
Using Analysis of Variance to Compare More Than Two Groups
One Step beyond
Introduction to Multilevel Modelling and Structural Equation Modelling
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