FDP on Complete Research Toolkit: From Qualitative Coding to SEM Modeling


Event Name:FDP on Complete Research Toolkit: From Qualitative Coding to SEM Modeling Event Date: 24th- 29th March 2025
Faculty Coordinators:Dr.Saumendra Mohanty, Dr. Fehmina Khalique, Dr. Balamurugan, Dr. Masood Siddiqui Organizing Institute Lloyd Business School
Number of Participants:40 Mode: Online

Objectives:

The Faculty Development Program was organized with the following objectives:

  • To strengthen research capabilities of faculty members and research scholars.
  • To provide comprehensive understanding of qualitative and quantitative research tools.
  • To develop practical skills in data coding, analysis, and modeling techniques.
  • To enhance competency in advanced statistical methods and SEM modeling.
  • To support evidence-based research and publication quality.
  • To bridge the gap between theoretical research concepts and practical application.

Detailed Report

Day 1: Introduction to Research Design and Toolkit Overview

The first day focused on introducing participants to the overall structure of the complete research toolkit. The session covered fundamentals of research design, types of research, and the importance of systematic methodology in academic and professional research.

Key discussions included:

  • Research problem identification.
  • Qualitative vs quantitative research approaches.
  • Overview of tools used across the research lifecycle.

Day 2: Qualitative Research and Coding Techniques

The second day emphasized qualitative research methods. Participants were introduced to data collection techniques and qualitative coding processes.

Key areas covered:

  • Interview and focus group data handling.
  • Open, axial, and selective coding.
  • Interpretation of qualitative data for research insights.

Day 3: Quantitative Data Analysis and Statistical Foundations

Day three focused on quantitative research methods and statistical concepts required for data analysis.

Topics discussed included:

  • Data preparation and cleaning.
  • Descriptive and inferential statistics.
  • Introduction to analytical tools and research datasets.

Day 4: Advanced Analysis Techniques

The fourth day covered advanced research analysis techniques used in academic research.

Major areas included:

  • Regression analysis.
  • Hypothesis testing.
  • Understanding relationships between variables.

The session helped participants strengthen analytical accuracy and interpretation skills.

Day 5: Structural Equation Modeling (SEM)

The fifth day focused on Structural Equation Modeling (SEM), a critical tool for advanced research.

Key learning areas:

  • Conceptual framework development.
  • Measurement and structural models.
  • Model validation and interpretation.

Participants gained exposure to applying SEM in real research scenarios.

Day 6: Research Application and Best Practices

The final day emphasized practical application of the research toolkit and best practices for academic research.

Key discussions included:

  • Integrating qualitative and quantitative findings.
  • Research reporting and documentation.
  • Improving research quality for publication.
  • Ethical considerations in research.

The program concluded with reflections on applying the learned tools in future research work.

Learning Outcomes

After completion of the FDP, participants were able to:

  • Understand the complete research process from design to analysis.
  • Apply qualitative coding techniques effectively.
  • Perform quantitative data analysis using statistical methods.
  • Develop and interpret SEM models for advanced research.
  • Integrate multiple research tools for comprehensive analysis.
  • Enhance research quality, accuracy, and academic output.