Understanding Quantitative Data in Educational Research

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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• Métodos de pesquisa: geral
• Métodos de pesquisa: geral
• Pesquisa e estatística social

Quantitative research;Educational quantitative research;Quantitative data;Education research;Educational research;R and RStudio;Data visualisation;Interpreting quantitative data;data analysis methods;Quantitative research in education;Research with children