TADR in ELT | Ch. 12: Inferential Statistics in ELT: t-Test, ANOVA, & Correlation with JASP/Jamovi
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TADR in ELT | Ch. 12: Inferential Statistics in ELT: t-Test, ANOVA, & Correlation with JASP/Jamovi
11 просмотров · 2 нед. назад
Gusti25[dot]id
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11 просмотров · 2 нед. назад
Welcome to Chapter 12 of the Technology-Assisted Data Research (TADR) course! In this video, we dive into inferential statistics for English Language Teaching (ELT) research using open-source tools like JASP and Jamovi.
What you'll learn in this session:
The distinction between descriptive summaries and inferential hypothesis testing.
How to choose the right test: Independent-samples t-test vs. One-way ANOVA vs. Pearson Correlation.
Checking critical statistical assumptions (Normality, Levene's Test, Linearity).
Why correlation does NOT equal causation.
How to interpret and report p-values alongside effect sizes (Cohen's d, Eta-squared) for practical educational impact.
📌 Recommended Software: JASP (jasp-stats.org) or Jamovi (jamovi.org)
📚 Course: Technology-Assisted Data Research (SUB-PBING-06)
#ELT #InferentialStatistics #JASP #Jamovi #ResearchMethods #TADR #DataAnalysis #HypothesisTesting