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This exciting new core textbook offers a clear and practical introduction to quantitative methods, taking a project-based approach. The author's extensive knowledge and straightforward writing style ensure that students are steered through the process step-by-step, from developing research questions and preparing data for analysis, to explaining how to present data in appropriate formats, avoid bias, and write up results and reports. Featuring a comprehensive pedagogical framework and companion website, readers are encouraged to follow practice analyses as they go, with examples given in both SPSS and Excel, and templates are provided for students' own research. In addition to covering the research project, chapters also cover the essential mathematical and statistical analyses that are a logical consequence of posing a quantitative research methods question.
This is the perfect text for all social science students studying introductory modules on quantitative methods, research methods or statistics at undergraduate or postgraduate level. It also functions as an effective guide for undergraduate and postgraduate students faced with an independent research project.
List of contents
Introduction.- 1. The Research Question.- 2.Basic Concepts of Empirical Research.- 3. Data Collection.- 4. Basic Mathematics.- 5. Data Entry and Handling.- 6. Basic Concepts of Data Description and Analysis.- 7. Presentation and Illustration of Data.- 8. Choosing your Statistical Analyses.- 9. Statistical Analyses: Looking at Differences.- 10. Statistical Analyses: Looking at Effects.- 11. Statistical Analyses: Looking at Associations and Relationships.- 12. Writing up Research.- Appendix 1 - Standard Error of Skewness for Small Sample Sizes.- Appendix 2 - Critical Values for Wilcoxon Signed Rank.- Exercise Solutions.- General Glossary.- Excel Function Glossary.- References.
About the author
Daniela Aidley is a Professor of Business Psychology at the Applied University Westküste, Heide, Germany.
Summary
This exciting new core textbook offers a clear and practical introduction to quantitative methods, taking a project-based approach. The author’s extensive knowledge and straightforward writing style ensure that students are steered through the process step-by-step, from developing research questions and preparing data for analysis, to explaining how to present data in appropriate formats, avoid bias, and write up results and reports. Featuring a comprehensive pedagogical framework and companion website, readers are encouraged to follow practice analyses as they go, with examples given in both SPSS and Excel, and templates are provided for students’ own research. In addition to covering the research project, chapters also cover the essential mathematical and statistical analyses that are a logical consequence of posing a quantitative research methods question.
This is the perfect text for all social science students studying introductory modules on quantitative methods, research methods or statistics at undergraduate or postgraduate level. It also functions as an effective guide for undergraduate and postgraduate students faced with an independent research project.
Accompanying online resources for this title can be found at bloomsburyonlineresources.com/introducing-quantitative-methods-a-practical-guide-by-daniela-aidley. These resources are designed to support teaching and learning when using this textbook and are available at no extra cost.
