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· a realistic approach, using actual databases
· an emphasis on the use of effect sizes
· a user-friendly approach, based on the latest version of SPSS throughout.
The use of two real educational datasets keeps the content relevant, and shows students the imperfections and problems which they will meet in real-life research. The datasets use common international measures and access to the datasets, allowing students to practice and answer the questions that follow each chapter, is available though the book website.
This book is for researchers and students studying research methods in education. It is suitable as a main textbook for quantitative methods courses, as well as a resource for researchers in this field.
|List of figures|
|List of tables|
|1||Introduction to quantitative research||1|
|2||Experimental and quasi-experimental research||13|
|3||Designing non-experimental studies||34|
|4||Validity, reliability and generalisability||64|
|5||Introduction to SPSS and the dataset||85|
|7||Bivariate analysis: comparing two groups||113|
|8||Bivariate analysis: looking at the relationship between two variables||142|
|9||Multivariate analysis: using multiple linear regression to look at the relationship between several predictors and one dependent variable||159|
|10||Using analysis of variance to compare more than two groups||185|
|11||One step beyond: introduction to multilevel modelling and structural equation modelling||202|