Название: Doing Quantitative Research in Education with IBM SPSS Statistics, 3rd EditionАвтор: Daniel Muijs
Издательство: SAGE Publications Inc.
Год: 2022
Страниц: 233
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB
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.
R, SAS and Stata are all general purpose statistical analysis software packages. Excel and other spreadsheet software packages allow quantitative data analysis (Excel has an ‘analysis tool-pak’ add-on module), although these are more limited in scope and often less user-friendly than the specialised packages. In this book, we are going to use IBM SPSS Statistics (SPSS). This is because SPSS is probably the most common statistical data analysis software package used in educational research and is available at most institutions of higher education. It is also quite user-friendly and does everything we need it to do. This does not mean that it is necessarily ‘better’ than any of the other packages. Other packages may be better in some areas, but SPSS is one of the most versatile and commonly used statistical data analysis software packages.
Research methods in education (and the other social sciences) are often divided into two main types: quantitative and qualitative methods. This book will discuss one of these two main strands: ‘quantitative methods’, and what distinguishes quantitative from qualitative methods. When you think of quantitative methods, you will probably have specific things in mind. You will probably be thinking of statistics and numbers, and many of you may be feeling somewhat apprehensive because you think quantitative methods are difficult. Apart from the last one, all these thoughts capture some of the essence of quantitative methods.
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