- 232 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
eBook - ePub
Doing Quantitative Research in Education with IBM SPSS Statistics
About this book
This essential guide for education students and researchers explains how to use quantitative methods for analysing educational data using IBM SPSS Statistics.
By using datasets from real-life educational research, it demonstrates key statistical techniques that you will need to know, explaining how each procedure can by run on IBM SPSS Statistics. Datasets discussed in the book are downloadable, allowing you to hone your skills as you read.
In this third edition, explanations have been updated with figures and screenshots from SPSS version 28, alongside a range of new research examples and updated further reading.
Daniel Muijs is Dean of the Faculty of Education and Society at Academica University of Applied Sciences in Amsterdam.
By using datasets from real-life educational research, it demonstrates key statistical techniques that you will need to know, explaining how each procedure can by run on IBM SPSS Statistics. Datasets discussed in the book are downloadable, allowing you to hone your skills as you read.
In this third edition, explanations have been updated with figures and screenshots from SPSS version 28, alongside a range of new research examples and updated further reading.
Daniel Muijs is Dean of the Faculty of Education and Society at Academica University of Applied Sciences in Amsterdam.
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Please note we cannot support devices running on iOS 13 and Android 7 or earlier. Learn more about using the app.
Yes, you can access Doing Quantitative Research in Education with IBM SPSS Statistics by Daniel Muijs in PDF and/or ePUB format, as well as other popular books in Education & Education Theory & Practice. We have over one million books available in our catalogue for you to explore.
Information
Table of contents
- Cover
- Half Title
- Publisher Note
- Title Page
- Copyright Page
- Contents
- Illustration List
- Table List
- About the author
- New to this edition
- Preface
- Acknowledgements
- 1 Introduction to quantitative research
- 2 Experimental and quasi-experimental research
- 3 Designing non-experimental studies
- 4 Validity, reliability and generalisability
- 5 Introduction to IBM SPSS Statistics and the data set
- 6 Univariate statistics
- 7 Bivariate analysis: comparing two groups
- 8 Bivariate analysis: looking at the relationship between two variables
- 9 Multivariate analysis: using regression models to look at the relationship between several predictors and one dependent variable
- 10 Using analysis of variance to compare more than two groups
- 11 Developing scales and measures: item and factor analysis
- 12 One step beyond: introduction to multilevel modelling and structural equation modelling
- References
- Index