Doing quantitative research in education with SPSS / Daniel Muijs
- 作者： Muijs, Daniel.
- 其他題名：
- Quantitative research
- SPSS
- 出版： London ;Thousand Oaks : Sage Publications 2011
- 主題： SPSS (Computer file) , Education--Research--Statistical methods. , Educational statistics--Data processing , Education--Research--Methodology
- 版本：2nd ed.
- ISBN： 9781849203241 (pbk.) :: US$40.17
- 一般註：Previous ed.: 2004 Includes bibliographical references (p. 241) and index
-
讀者標籤：
- 系統號： 005181898 | 機讀編目格式
館藏資訊
Doing Quantitative Research in Education with SPSS, Second Edition, an 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.
內容註
Introduction to quantitative research Experimental and quasi-experimental research Designing non-experimental studies Validity, reliability and generalisability Introduction to PASW statistics (IBM SPSS) and the data set Univariate statistics Bivariate analysis: comparing two groups Bivariate analysis: looking at the relationship between two variables Multivariate analysis: using multiple linear regression models to look at the relationship between several predictors and one dependent variable Using analysis of variance to compare more than two groups Developing scales and measures: item and factor analysis One step beyond: introduction to multilevel modelling and structural equation modelling