Introduction: This 2-credit certificate course is designed to provide a forum create an awareness of developments in research methodologies, particularly to comprehensively understand differentquantitative methodologies(within Mixed Methods of Research approach). To familiarize scholars with the need for mixed method research and methodologies herein in the domains of management and social science research.Objectives of the course:1.To help scholars understand stages and process of conducting research. 2.To make the scholars familiar with different types of research and research methodologies with quantitative) and qualitative dimensions (under mixed methods approach). 3. To facilitate the scholars in appreciating different quantitative analysis techniques under the rubric of various research methodologies.
Quantitative and Mixed Methods Research for Management
Indian Institute of Management Bangalore and Kalinga Institute of Industrial Technology (KIIT) via Swayam
Overview
Syllabus
Detailed Syllabus:
(What learners will learn in each week with details of subtopics)
Week 1 Introduction to Research: Types of Research; Quantitative & Mixed method research.
-Learners will understand the basic concepts of research types, stages of (doing) research and data concepts.
Week 2 Identification of Researchable Problems: Review of Literature, Identification of Research Gap [Reviewing literature in a domain of interest drawing research gaps and identifying a suitable researchable problem]
Week 3 Research Design & Sampling
-Learners will have understanding sampling concepts, requirement and designing of a research, as per need.]
Week 4 Measurement Scales & Data Collection Methods
-Here all types of measuring scales will be covered. Also, data concepts, types and collection methods will be covered.
Week 5 Concepts of Hypothesis, Hypothesis testing, Large & small sample
Week 6 Data Analysis Techniques – I:
-Here all types of descriptive statistical analysis, using SPSS, will be covered. Univariate & bi-variate cases will be covered, through illustrative (numerical) examples.
Week 7:Data Analysis Techniques - II:
-Here multi-variate statistical analysis, using SPSS/ Excel, will be covered. Concepts of Multiple regression, F-test, ANOVA
Week 8: Review & Report writing: In this section, as part of experiential learning, each participant would come up with complete research project, applying the knowledge acquired (on ‘Research Design & Quantitative data Analysis Techniques’), during previous seven weeks.
Taught by
Prof. Rabi N Subudhi and Prof. Sumita Mishra
