Aperçu des sections

  • Généralités

  • Lectures 1-5 from M1

  • Lecture 01 M2

    • LESSON 01 Fichier

      This lesson introduces the Mann–Whitney U Test, a non-parametric alternative to the independent samples t-test used to compare two independent groups when data are ordinal or non-normally distributed. Students will explore the test’s purpose, assumptions, and interpretation, with applications to EFL research contexts such as comparing motivation, engagement, or proficiency levels between learner groups. By the end of the lesson, learners will understand when and how to apply the Mann–Whitney U test and how to interpret its results meaningfully when parametric assumptions are violated.

  • Lecture 02 M2

    • LESSON 02 Fichier

      This lesson deepens understanding of the interpretive logic behind the Mann–Whitney U Test by focusing on the shape of the distributions being compared. Students will learn how to use SPSS to visualize data (via boxplots and histograms) and to determine whether the two distributions have similar or different shapes. The lesson emphasizes how this affects interpretation:

      • Similar shapes → comparison of medians (central tendency)

      • Different shapes → comparison of overall distributions (spread or skewness)

      By the end of the lesson, students will be able to distinguish between these cases, interpret Mann–Whitney U results accurately, and report findings appropriately in APA style.


  • Section 4