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Understanding Quantitative Data in Educational Research
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Understanding Quantitative Data in Educational Research

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November 2020 | 336 pages | SAGE Publications Ltd

This book is designed to help Education students gain confidence in analysing and interpreting quantitative data and using appropriate statistical tests, by exploring, in plain language, a variety of data analysis methods.

Highly practical, each chapter includes step-by-step instructions on how to run specific statistical tests using R, practical tips on how to interpret results correctly and exercises to put into practice what students have learned.

It also includes guidance on how to use R and RStudio, how to visualise quantitative data, and the fundamentals of inferential statistics, estimations and hypothesis testing.

Nicoleta Gaciu is Senior Lecturer in Education at Oxford Brookes University.

 
Part 1: Understanding quantitative data and R
 
1. Introduction to information, knowledge and quantitative data
 
2. An introduction to R and RStudio
 
Part 2: Data visualisation
 
3. Graphical representation of data
 
Part 3: Providing information about data
 
4. Descriptive statistics
 
5. Measures of dispersion and distributions
 
6. Normal distribution and standardised scores
 
Part 4: Making estimations and predictions from the data
 
7. Fundamentals of inferential statistics
 
8. Estimations and hypothesis testing
 
Part 5: From sample to population
 
9. One-sample tests
 
10. Differences between the independent or dependent two samples
 
11. Difference between more than two independent samples
 
12. Difference between more than two dependent samples
 
Part 6: Relationships and predictions
 
13. Relationship between variables
 
14. Predictions for independent and dependent variables

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Nicoleta Gaciu

Dr Nicoleta Gaciu is Senior Lecturer in Education at Oxford Brookes University, UK. Her academic and research specialisations in disciplines such as physics, statistics, computer sciences, research methods and business have given her the best opportunities to make connections across disciplines, to view real-life phenomena through different lenses and to take different perspectives, knowledge, logical and methodological approaches for interdisciplinary research. More About Author