Topic outline

  • General

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  • About the course

    • STATISTICS

      Module

      Statistics

      Level:

      Master

      Year of study:

      2nd year

      Term/ semester:

      3rd semester

      Unit:

      Discovery

      Credit:

      1

      Coefficient:

      1

      Format:

      Lectures (a hybrid of online and face-to-face lectures)

      Evaluation Format:

      End of term exam (100%)

      Lecturer:

      Moustafa Amrate

      Email:

      moustafa.amrate@univ-biskra.dz

       

      Course description

      This course focuses on the analysis of quantitative data in the fields of Applied Linguistics and TEFL. In addition to reviewing basic concepts in the field of statistics, the course introduces students to the main statistical tests used to determine the existence and strength of a relationship between two or more variables. This includes the statistical tests examining the significance of a difference (e.g., Paired t-test, One-Way-ANOVA …etc.) or a relationship (e.g., Pearson correlation, Spearman correlation). The course also includes practical face-to-face and online activities in which the students will practice their knowledge of the different concepts and the mastery of the different statistical tests.

      Prerequisites

      A basic level in arithmetic.

      Course objectives

      By the end of this course, the student will be able to:

      1. Choose the appropriate statistical test for the Master’s research project.
      2. Use the relevant statistical test for their research manually or by using Excel, or SPSS
      3. Interpret the results generated through the different statistical tests. 

  • Lecture 1: Introduction to basic concepts in statistics

  • Lecture 2: Populations and sampling

  • Lecture 3: Levels of measurement

  • Lecture 4: Introduction to descriptive statistics

  • Lecture 5: Applications of descriptive statistics

  • Lecture 6: Introduction to inferential statistics and hypothesis testing

  • Lecture 7: Choosing advanced statistical tests (Practice)

  • Lecture 8: Important concepts in hypothesis testing (+ Practice)

  • Lecture 9: Correlation: Introduction

  • Lecture 10: Reporting results and data visualization

  • Revision and Practice

  • EXAM ANSWERS AND MARKING SCALE

  • References

    • Dörnyei, Zoltán. (2007). Research methods in applied linguistics. Oxford university press.

      Field, Andy. (2013). Discovering statistics using IBM SPSS statistics. sage.

      Mackey, A., & Gass, S.M. (2015). Second Language Research: Methodology and Design (2nd ed.). Routledge. https://doi.org/10.4324/9781315750606

      McKinley, J., & Rose, H. (Eds.). (2019). The Routledge handbook of research methods in applied linguistics. Routledge.