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National workshop · Online

Qualitative and Quantitative Research: Choosing the Right Approach

7 December 2026

DateIndia: 7 December 2026
TimeIndia: 10:00 AM – 5:00 PM IST
ModeOnline
Qualitative and Quantitative Research: Choosing the Right Approach workshop banner

Workshop overview

The International Institute of Quality Accreditation & Rankings (IIQA) presents a practical and research-oriented workshop on “Qualitative and Quantitative Research: Choosing the Right Approach”, designed to help researchers, faculty members, students and professionals understand different research approaches and make informed methodological choices. The workshop focuses on understanding qualitative and quantitative research, research questions, research design, data collection methods, sampling approaches, measurement, data analysis, validity, reliability, interpretation and research reporting. Participants will learn how to select an appropriate research approach based on the research problem, objectives, questions, type of data and expected outcomes. UNDERSTAND → DESIGN → COLLECT → ANALYSE → INTERPRET

What will the workshop cover?

01Research Fundamentals & Methodological Thinking
  • Understanding research
  • Research problem identification
  • Research objectives
  • Research questions
  • Research hypotheses
  • Literature review
  • Conceptual framework
  • Variables and constructs
  • Selecting an appropriate methodology
02Qualitative Research Approach
  • Understanding qualitative research
  • Characteristics of qualitative research
  • Exploratory research
  • Understanding experiences and perceptions
  • Qualitative research questions
  • Case study approach
  • Phenomenological approach
  • Ethnographic approach
  • Grounded theory approach
  • Narrative research
03Qualitative Data Collection
  • In-depth interviews
  • Semi-structured interviews
  • Focus group discussions
  • Observation
  • Document analysis
  • Open-ended questionnaires
  • Field notes
  • Participant selection
  • Data saturation
04Qualitative Data Analysis & Interpretation
  • Preparing qualitative data
  • Coding
  • Categorisation
  • Identifying themes
  • Thematic analysis
  • Narrative analysis
  • Pattern identification
  • Interpretation of qualitative findings
  • Presenting qualitative evidence
05Quantitative Research Approach
  • Understanding quantitative research
  • Characteristics of quantitative research
  • Descriptive research
  • Correlational research
  • Experimental research
  • Quasi-experimental research
  • Survey research
  • Variables and measurement
  • Formulation of hypotheses
06Quantitative Data Collection & Sampling
  • Structured questionnaires
  • Surveys
  • Measurement scales
  • Primary and secondary data
  • Probability sampling
  • Non-probability sampling
  • Sample size considerations
  • Data quality
  • Data coding and preparation
07Quantitative Data Analysis & Interpretation
  • Data preparation
  • Descriptive statistics
  • Measures of central tendency
  • Measures of dispersion
  • Cross-tabulation
  • Correlation
  • Regression
  • Hypothesis testing
  • Interpretation of statistical results
  • Presentation of quantitative findings
08Mixed-Methods Research
  • Understanding mixed-methods research
  • Rationale for combining approaches
  • Sequential research designs
  • Concurrent research designs
  • Qualitative and quantitative integration
  • Triangulation
  • Combining datasets
  • Interpretation of integrated findings
09Choosing the Right Research Approach
  • Matching methodology with research questions
  • Exploratory versus measurement-focused research
  • When to choose qualitative research
  • When to choose quantitative research
  • When to choose mixed methods
  • Matching data collection with research objectives
  • Selecting an appropriate research design
  • Avoiding methodology mismatch QUALITATIVE → WHEN YOU NEED DEPTH & MEANING QUANTITATIVE → WHEN YOU NEED MEASUREMENT & NUMERICAL EVIDENCE MIXED METHODS → WHEN BOTH TYPES OF EVIDENCE ARE REQUIRED
10Research Quality, Validity & Reliability
  • Understanding research quality
  • Validity in quantitative research
  • Reliability
  • Credibility in qualitative research
  • Dependability
  • Confirmability
  • Transferability
  • Instrument quality
  • Bias identification
  • Data quality assurance
11Research Ethics & Responsible Research
  • Ethical principles in research
  • Informed consent
  • Confidentiality
  • Privacy
  • Participant protection
  • Responsible data management
  • Avoiding fabrication and falsification
  • Avoiding plagiarism
  • Ethical reporting of findings
  • Research integrity
12Research Proposal & Reporting
  • Structuring a research proposal
  • Research background
  • Problem statement
  • Research objectives
  • Research questions
  • Methodology
  • Sampling
  • Data collection
  • Data analysis plan
  • Findings and discussion
  • Conclusions and recommendations
  • Research presentation

What will you gain?

  • Participants will gain practical understanding of:
  • Fundamentals of research methodology
  • Qualitative research
  • Quantitative research
  • Mixed-methods research
  • Research questions and objectives
  • Research design
  • Sampling techniques
  • Qualitative data collection
  • Quantitative data collection
  • Data analysis approaches
  • Validity and reliability
  • Qualitative research quality
  • Research ethics
  • Data interpretation
  • Research proposal development
  • Research reporting
  • Selecting the appropriate research approach FROM RESEARCH PROBLEM → METHODOLOGY → DATA → ANALYSIS → INTERPRETATION → RESEARCH FINDINGS

Who can participate?

Academic & Research Leadership

Vice-Chancellors

Directors

Principals

Deans

Heads of Institutions

Research Directors

Research Coordinators Faculty & Researchers

Professors

Associate Professors

Assistant Professors

Research Scholars

Postdoctoral Researchers

Research Supervisors

Academic Researchers Students

Ph.D. Scholars

M.Phil. Scholars

Postgraduate Students

Undergraduate Students

Project Students Research & Functional Teams

Research & Development Teams

Institutional Research Teams

Quality Teams

Data Analysis Teams

Innovation & Consultancy Teams

Academic Administrators DESIGNED FOR Universities • IITs • NITs • IIITs • Autonomous Institutions • Engineering Colleges • Medical Institutions • Management Institutions • Research Organisations • Higher Education Institutions

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