Doing Quantitative Research In Education With Spss


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Doing Quantitative Research in Education with SPSS


Doing Quantitative Research in Education with SPSS

Author: Daniel Muijs

language: en

Publisher: SAGE

Release Date: 2010-12-31


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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.

Quantitative Data Analysis in Education


Quantitative Data Analysis in Education

Author: Paul Connolly

language: en

Publisher: Routledge

Release Date: 2007-08-07


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An accessible and user-friendly guide to quantitative data analysis in educational research, aimed at those with little or no prior knowledge of statistical methods.

Conducting Quantitative Research in Education


Conducting Quantitative Research in Education

Author: Saiyidi Mat Roni

language: en

Publisher: Springer

Release Date: 2019-08-12


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This book provides a clear and straightforward guide for all those seeking to conduct quantitative research in the field of education, using primary research data samples. While positioned as less powerful and somehow inferior, non-parametric tests can be very useful where the research can only be designed to accommodate data structure which is ordinal, or scale but violates a normality assumption, which is required for parametric tests. Non-parametric data are a staple of educational research, and as such, it is essential that educational researchers learn how to work with these data with confidence and rigour.