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Doing quantitative research in education with IBM SPSS statistics / Daniel Muijs.

By: Material type: TextTextPublication details: Los Angeles : SAGE, 2022.Edition: 3rd edDescription: 218 ppISBN:
  • 9781526432681
Subject(s):
Contents:
Chapter 1. Introduction to quantitative researchChapter 2. Experimental and quasi-experimental researchChapter 3. Designing non-experimental studiesChapter 4. Validity, reliability and generalisabilityChapter 5. Introduction to IBM SPSS Statistics and the data setChapter 6. Univariate statisticsChapter 7. Bivariate analysis: comparing two groupsChapter 8. Bivariate analysis: looking at the relationship between two variablesChapter 9. Multivariate analysis: using regression models to look at the relationship between several predictors and one dependent variableChapter 10. Using analysis of variance to compare more than two groupsChapter 11. Developing scales and measures: item and factor analysisChapter 12. One step beyond: introduction to multilevel modelling and structural.
Summary: 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.
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Books Main Library Reserve 370.72 M953 (Browse shelf(Opens below)) Available 3BPSU00043431Q

Chapter 1. Introduction to quantitative researchChapter 2. Experimental and quasi-experimental researchChapter 3. Designing non-experimental studiesChapter 4. Validity, reliability and generalisabilityChapter 5. Introduction to IBM SPSS Statistics and the data setChapter 6. Univariate statisticsChapter 7. Bivariate analysis: comparing two groupsChapter 8. Bivariate analysis: looking at the relationship between two variablesChapter 9. Multivariate analysis: using regression models to look at the relationship between several predictors and one dependent variableChapter 10. Using analysis of variance to compare more than two groupsChapter 11. Developing scales and measures: item and factor analysisChapter 12. One step beyond: introduction to multilevel modelling and structural.

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.

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