
Doing Quantitative Research in Education with SPSS
Daniel Muijs(Author)
SAGE Publications Ltd (Publisher)
2nd Edition
Published on 10. December 2010
Book
Hardback
264 pages
978-1-84920-323-4 (ISBN)
Article exhausted; check for reprint
Description
This accessible and authoritative introduction is essential for education students and researchers needing to use quantitative methods for the first time.
Using datasets from real-life educational research and avoiding the use of mathematical formulae, the author guides students through the essential techniques that they will need to know, explaining each procedure using the latest version of SPSS. The datasets can also be downloaded from the book's website, enabling students to practice the techniques for themselves.
This revised and updated second edition now also includes more advanced methods such as log linear analysis, logistic regression, and canonical correlation.
Written specifically for those with no prior experience of quantitative research, this book is ideal for education students and researchers in this field.
Using datasets from real-life educational research and avoiding the use of mathematical formulae, the author guides students through the essential techniques that they will need to know, explaining each procedure using the latest version of SPSS. The datasets can also be downloaded from the book's website, enabling students to practice the techniques for themselves.
This revised and updated second edition now also includes more advanced methods such as log linear analysis, logistic regression, and canonical correlation.
Written specifically for those with no prior experience of quantitative research, this book is ideal for education students and researchers in this field.
Reviews / Votes
'This is a book that even the most confirmed qualitative researcher can highly recommend to students. And for any course in quantitative methods it would be my first choice. The clear and interesting communicative style draws in the reader both to an understanding of some of the basis building blocks of quantitative research but also to some of answers to critiques of certain ways of using statistics. Those wanting just to be able to understand quantitative research as well as the statistically unsure wanting to use it are unlikely to be disappointed. There is a growing need for Daniel Muijs's text also in order to respond to the burgeoning in interest in mixed methodology' -Professor Liz Todd, Newcastle University
More details
Edition
2nd Revised edition
Language
English
Place of publication
London
United Kingdom
Target group
College/higher education
Edition type
Revised edition
Dimensions
Height: 242 mm
Width: 170 mm
Weight
618 gr
ISBN-13
978-1-84920-323-4 (9781849203234)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
New editions

Book
06/2022
3rd Edition
SAGE Publications Ltd
€134.30
Shipment within 15-20 days
Previous edition

Book
03/2004
1st Edition
SAGE Publications Inc
€119.04
Article exhausted; check for reprint
Person
Daniel Muijs is Dean of the Faculty of Education and Society at Academica University of Applied Sciences in Amsterdam, and visiting professor at the University of Southampton. He has worked in education departments at a range of UK universities, as well as at Ofsted, the English inspectorate of schools and social care. He is an experienced quantitative researcher and has taught quantitative methods to students from undergraduate to PhD levels.
Content
Introduction to Quantitative Research
Experimental and Quasi-Experimental Research
Designing Non-Experimental Studies
Validity, Reliability and Generalizability
Introduction to PASW Statistics (IBM SPSS) and the Data Set
Univariate Statistics
Bivariate Analysis: Comparing Two Groups
Bivariate Analysis: Looking at the Relationship between Two Variables
Multivariate Analysis: Using Regression Models to Look at the Relationship between Several Predictors and One Dependent Variable
Using Analysis of Variance to Compare More Than Two Groups
Developing Scales and Measures: Item and Factor Analysis
One Step beyond: Introduction to Multilevel Modeling and Structural Equation Modeling
Experimental and Quasi-Experimental Research
Designing Non-Experimental Studies
Validity, Reliability and Generalizability
Introduction to PASW Statistics (IBM SPSS) and the Data Set
Univariate Statistics
Bivariate Analysis: Comparing Two Groups
Bivariate Analysis: Looking at the Relationship between Two Variables
Multivariate Analysis: Using Regression Models to Look at the Relationship between Several Predictors and One Dependent Variable
Using Analysis of Variance to Compare More Than Two Groups
Developing Scales and Measures: Item and Factor Analysis
One Step beyond: Introduction to Multilevel Modeling and Structural Equation Modeling