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 feature
Doing Quantitative Research in Education with IBM SPSS Statistics
โ Scribed by Daniel Muijs
- Publisher
- SAGE Publications
- Year
- 2022
- Tongue
- English
- Leaves
- 233
- Edition
- 3
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
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.ย
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.
ย
Daniel Muijs is Dean of the Faculty of Education and Society at Academica University of Applied Sciences in Amsterdam.
โฆ Table of Contents
DOING QUANTITATIVE RESEARCH IN EDUCATION WITH IBM SPSS STATISTICS - FRONT COVER
DOING QUANTITATIVE RESEARCH IN EDUCATION WITH IBM SPSS STATISTICS
COPYRIGHT
CONTENTS
LIST OF FIGURES
LIST OF TABLES
ABOUT THE AUTHOR
NEW TO THIS EDITION
PREFACE
ACKNOWLEDGEMENTS
CHAPTER - 1 INTRODUCTION TO QUANTITATIVE RESEARCH
CHAPTER - 2 EXPERIMENTAL AND QUASI-EXPERIMENTAL RESEARCH
CHAPTER - 3 DESIGNING NON-EXPERIMENTAL STUDIES
CHAPTER - 4 VALIDITY, RELIABILITY AND GENERALISABILITY
CHAPTER - 5 INTRODUCTION TO IBM SPSS STATISTICS AND THE DATA SET
CHAPTER - 6 UNIVARIATE STATISTICS
CHAPTER - 7 BIVARIATE ANALYSIS: COMPARING TWO GROUPS
CHAPTER - 8 BIVARIATE ANALYSIS: LOOKING AT THE RELATIONSHIP BETWEEN TWO VARIABLES
CHAPTER - 9 MULTIVARIATE ANALYSIS: USING REGRESSION MODELS TO LOOK AT THE RELATIONSHIP BETWEEN SEVERAL PREDICTORS AND ONE DEPENDENT VARIABLE
CHAPTER - 10 USING ANALYSIS OF VARIANCE TO COMPARE MORE THAN TWO GROUPS
CHAPTER - 11 DEVELOPING SCALES AND MEASURES: ITEM AND FACTOR ANALYSIS
CHAPTER - 12 ONE STEP BEYOND: INTRODUCTION TO MULTILEVEL MODELLING AND STRUCTURAL EQUATION MODELLING
REFERENCES
INDEX
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<p><b>Master data management & analysis techniques with IBM SPSS Statistics 24</b><p><b>About This Book</b><p><li>Leverage the power of IBM SPSS Statistics to perform efficient statistical analysis of your data<li>Choose the right statistical technique to analyze different types of data and build ef
Doing Statistics with SPSS assumes no prior understanding beyond that of basic mathematical operations and is therefore suitable for anyone undertaking an introductory statistics course as part of a science based undergraduate programme. The text will: enable the reader to make informed choices
Doing Statistics with SPSS assumes no prior understanding beyond that of basic mathematical operations and is therefore suitable for anyone undertaking an introductory statistics course as part of a science based undergraduate programme. The text will: enable the reader to make informed choices
This book is to be commended, particularly, for putting the tool of statistics into the familiar context of a research study. In so doing it emphasizes the neglected pre-analysis stages of a research study. Indeed the performing of a data analysis, this book reminds us, should be the mere icing on a