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Doing Quantitative Research in Education with IBM SPSS Statistics 3rd Revised edition [Kietas viršelis]

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  • Formatas: Hardback, 232 pages, aukštis x plotis: 242x170 mm, weight: 560 g
  • Išleidimo metai: 27-Jun-2022
  • Leidėjas: Sage Publications Ltd
  • ISBN-10: 1526432676
  • ISBN-13: 9781526432674
Kitos knygos pagal šią temą:
Doing Quantitative Research in Education with IBM SPSS Statistics 3rd Revised editionDidesnis paveikslėlis
  • Formatas: Hardback, 232 pages, aukštis x plotis: 242x170 mm, weight: 560 g
  • Išleidimo metai: 27-Jun-2022
  • Leidėjas: Sage Publications Ltd
  • ISBN-10: 1526432676
  • ISBN-13: 9781526432674
Kitos knygos pagal šią temą:
Pastovi nuoroda: https://www.kriso.lt/db/9781526432674.html
Raktažodžiai:
This essential guide for education students and researchers explains how to use quantitative methods for analysing educational data using IBM SPSS Statistics.

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.

Daniel Muijs is Dean of the Faculty of Education and Society at Academica University of Applied Sciences in Amsterdam.
List of figures
vi
List of tables
ix
About the author x
New to this edition xi
Preface xii
Acknowledgements xiii
1 Introduction to quantitative research
1(10)
2 Experimental and quasi-experimental research
11(17)
3 Designing non-experimental studies
28(25)
4 Validity, reliability and generalisability
53(16)
5 Introduction to IBM SPSS Statistics and the data set
69(5)
6 Univariate statistics
74(17)
7 Bivariate analysis: comparing two groups
91(22)
8 Bivariate analysis: looking at the relationship between two variables
113(13)
9 Multivariate analysis: using regression models to look at the relationship between several predictors and one dependent variable
126(30)
10 Using analysis of variance to compare more than two groups
156(17)
11 Developing scales and measures: item and factor analysis
173(24)
12 One step beyond: introduction to multilevel modelling and structural equation modelling
197(14)
References 211(1)
Index 212
Daniel Muijs is Dean of the Faculty of Education and Society at Academica University of Applied Sciences in Amsterdam, and visiting professor at the University of Southampton. He has worked in education departments at a range of UK universities, as well as at Ofsted, the English inspectorate of schools and social care. He is an experienced quantitative researcher and has taught quantitative methods to students from undergraduate to PhD levels.