Quantitative Methods In Education

6

Days

15h

Duration

Synchronous

Modality

2.5h

class

English

Language

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৳ 8,000.00

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Registration Deadline

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Platform

Zoom + BRACU LMS

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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:

Competence and skills:

Judgement and Approach:

Detailed Course Content

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

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

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

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

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

Analysis & Interpretation using statistics; Inferential Statistics

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