Understanding Quantitative Data in Educational Research

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.

• Part 1: Understanding quantitative data and R1. Introduction to information, knowledge and quantitative data2. An introduction to R and RStudioPart 2: Data visualisation3. Graphical representation of dataPart 3: Providing information about data4. Descriptive statistics5. Measures of dispersion and distributions6. Normal distribution and standardised scoresPart 4: Making estimations and predictions from the data7. Fundamentals of inferential statistics8. Estimations and hypothesis testingPart 5: From sample to population9. One-sample tests10. Differences between the independent or dependent two samples11. Difference between more than two independent samples12. Difference between more than two dependent samplesPart 6: Relationships and predictions13. Relationship between variables14. Predictions for independent and dependent variables

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