6 Days

3 Weeks

2 Days/
Week

2.5 Hours/Class

Class Timings

Monday and Wednesday
6:00 pm – 09:00 pm

Platform

Zoom + BRACU LMS

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Contact Us:

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+8801729070909

Course Overview

The course provides a thorough introduction to quantitative research methods in education. Quantitative Methods in Education engages in the science and practice of educational measurement and evaluation primarily through the application of statistical methods and informed by the study of teaching and learning statistics. In this course the learner will study quantitative research methods in education, evaluation and statistics to address practical problems of education. The course equips the learners with the skills and knowledge necessary to prepare for an educational research project using quantitative research methods.

Course Objective

To meet the current demand for training on quantitative methods in educational research, this 6-day course has been designed to help academics, researchers, students (both undergraduate and graduate), and professionals coming from different backgrounds to learn about basic quantitative methods and learn to analyse data from research using SPSS software, interpret the result and apply the knowledge in their respective fields.

Learning Outcomes

The course is intended to provide an introduction to and overview of fundamental methodological concepts and issues in quantitative educational research, with a focus on designs for causal inference, measurement, and analysis. It aims to develop participants’ general research methodological competence and critical thinking to a level commensurate with what is required by a researcher within the field of education. After successful completion of the course, the student should be able to

Knowledge and understanding:
  1. Describe key characteristics of experimental, quasi-experimental and non-experimental designs
  2. Describe and explain methods of analysis suited for different designs
  3. Explain the notion of validity of causal inference, and threats to valid causal inference
  4. Explain the notion of validity and reliability of educational measurement, including threats to valid and reliable measurement

Competence and skills::
  1. Orally and in writing discuss possibilities and limitations of quantitative methods within educational contexts
  2. Research design, using appropriate terminology and conceptual tools
  3. Measurement procedures and methods, using appropriate terminology and conceptual tools
  4. Statistical analysis procedures, using appropriate terminology and conceptual tools

Judgement and Approach:
  1. Evaluate the relevance of different design, measurement and analytical approaches in relation to research questions, data and scientific claims
  2. Reflects on questions of research ethics and related decisions

Course Breakdown

  • Day 1

    Introduction to quantitative research, Types of Quantitative Research Design, Experimental and Quasi experimental designs; Non-experimental designs and Single Group Design

  • Day 2

    Objective; Research Questions; variables; hypothesis; validity and reliability

  • Day 3

    Data Collection: Methods; survey; sample and sampling; types of sampling; and process of sampling

  • Day 4

    Data Collection: Development of tools/Instruments; scales etc.

  • Day 5

    Analysis & Interpretation using statistics: Installation and introduction of SPSS; Data presentation- Descriptive Statistics; interpreting statistical tables and graphs to display quantitative information

  • Day 6

    Analysis & Interpretation using statistics; Inferential Statistics