Statistical analysis · Education
Statistical analysis in education
Education research often compares classes, schools and teaching methods, and looks at change over time. Data comes from teacher and student questionnaires, achievement tests and observations.
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Topics that come up a lot
- Group comparisons: t-tests and ANOVA
- Before-and-after measurements of an intervention
- Nested data: students within classes
- Analyzing attitude questionnaires
- Non-parametric tests in small samples
What's included
- Choosing a statistical test that fits your questions and data
- Cleaning and preparing the data file
- Running analyses: t-tests, ANOVA, regression, correlations, CFA, mediation models
- Interpreting the output with an explanation you can stand behind
- Tables and figures in APA format
Frequently asked questions
Do I need a data file already?
No. You can start at the planning stage, and we'll help build the questionnaire and the analysis plan.
Which software do you use?
SPSS, R, JASP, AMOS, Jamovi and Excel. If your course requires specific software, we work in it.
Will I understand what was done?
That's the point. You get an explanation of every analysis, so you can present and defend the results.
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