Introducing Quantitative Methods
eBook - PDF

Introducing Quantitative Methods

A Practical Guide

  1. 360 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Introducing Quantitative Methods

A Practical Guide

About this book

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.

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Yes, you can access Introducing Quantitative Methods by Daniela Aidley in PDF and/or ePUB format, as well as other popular books in Psychology & Research & Methodology in Psychology. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Short Contents
  3. Contents
  4. List of Figures
  5. List of Tables
  6. About the Author
  7. Author’s Acknowledgements
  8. Publisher’s Acknowledgements
  9. Introduction
  10. 1 The Research Question
  11. 2 Basic Concepts of Empirical Research
  12. 3 Data Collection
  13. 4 Basic Mathematics
  14. 5 Data Entry and Data Handling
  15. 6 Basic Concepts of Data Description and Analysis
  16. 7 Presentation and Illustration of Data
  17. 8 Choosing Your Statistical Analysis
  18. 9 Statistical Analyses: Looking at Differences
  19. 10 Statistical Analyses: Looking at Effects
  20. 11 Statistical Analyses: Looking at Associations and Relationships
  21. 12 Writing Up Research
  22. Appendix 1 Standard Error of Skewness for Small Sample Sizes
  23. Appendix 2 Critical Values for Wilcoxon Signed Rank test
  24. Exercise Solutions
  25. General Glossary
  26. Excel Functions Glossary
  27. References
  28. Index