A Complete Primer on Survey Research and Experimentation in Action – Batch 1

From: 1,500.00

Last date of Registration:  13th May, 2026

SKU: IIT Bombay | Dates : 18th May to 25th July, 2026 Categories: , ,

Profile of the Instructor

Prof. Ashish is an Associate Professor in the School of Management at IIT Bombay. His research interest includes economics of distribution, discrimination, exclusion and development as well as public health (with focus on maternal and child health). He is an academic editor for PLOS Global Public Health; associate editor for International Journal for Equity in Health; and section editor for Archives of Public Health. He has trained more than 300 hundred scholars, researchers and faculty members across the globe in Survey Research and Experimentation over the last 10 years.

Session Details

Dates of the Short Term Course : 18th May to 25th July, 2026

Mode of the Short Term Course : Online

Recorded content will be released in the Course page Every Monday.

Online live sessions (Wednesdays) - 7:15 pm to 8:15 pm (IST)

Date of release of recorded videos Wednesday ONLINE Session Date
18th May, 2026 (Session 1 & 2) 27th May, 2026
25th May, 2026 (Session 3 & 4) 10th June, 2026
1st June, 2026 (Session 5 & 6) 24th June, 2026
8th June, 2026 (Session 7) 8th July, 2026
15th June, 2026 (Session 8) 22nd July, 2026

Fee Structure

PhD Scholars and Students : Rs. 1770 (Rs. 1500 + 18% GST)

Faculty : Rs. 2950 (Rs. 2500 + 18% GST)

Industry : Rs. 5900 (Rs. 5000 + 18% GST)

Foreign Nationals/Overseas : Rs. 25000 (Rs. 21186.44 + 18% GST)

Modules of the short-term course

Module name Concepts covered Recorded sessions - No. of hours Assessment Learning outcomes
Session 1 Introduction Introduction; need for research; the scientific method; determinants of conducting research; types of research designs; problem definition 3 Exercise Good understanding of research process, basic research designs and the determinants of research.
Session 2 Theory, Research Concepts, Propositions & Hypotheses, Measurement and Scaling Concepts, Reliability and Validity Theory building (deductive and inductive); abstract and empirical level; measurement and scaling; summated scales and reverse coding; reliability, validity and sensitivity; pragmatic ways to establish reliability and validity 3 Exercise Good understanding of theory building process and pragmatic understanding of measurement and scaling.
Session 3 Attitude Measurement and Survey Research Attitude; techniques for measuring attitudes; types of scales used in social science research and their demonstration using attitude measurement; survey research and errors in survey research; survey research methods; response rates and practical ways to increase response rate 3 Exercise Good understanding of measurement of various components of attitude using various scales and practical knowledge of survey research along with the challenges faced in survey research.
Session 4 Design of Instruments, Sampling Designs, Sampling Procedures and Data entry, coding, cleaning and editing Design of Instruments and decisions in instrument design, Sampling Designs (probability/non-probability; single stage/multistage etc.), Sampling Procedures; estimating sample size; (if time permits - data entry, coding, cleaning and editing) 3 Exercise Good (and practical) understanding of design of instruments and sampling as well as estimation of sample size.
Session 5 Time for reflection and additional questions and answers recording for the topics covered in the first 4 sessions Time for reflection and additional Q & A recording for the topics covered in the first 4 sessions 3 Time for reflection and additional Q & A recording for the topics covered in the first 4 sessions
Session 6 Hypothesis Testing and Data Analysis Methods for Survey Research Types of statistical analysis; types of hypotheses; hypothesis testing process; significance level and p-value as well as their inter-play; types of errors and methods used in data analysis 3 Exercise Good (and practical) understanding of statistical analysis, hypothesis testing, and drawing inferences.
Session 7 Experimental Research: Causality, Demand Characteristics, Control, Experimental Validity and Introduction to Various Experimental Designs - I Creating an experiment; designing an experiment (important design elements); cause, effect and experimental confound; demand characteristics; practical experimental design issues; issues of experimental validity; types of experimental designs (true; quasi and non-experimental as well as time-series) (pretest-posttest control group; posttest only control group; non-equivalent control group, multiple treatment and complex designs; difference in difference etc.); 3 Exercise Good and practical understanding of experiments and experimental designs.
Session 8 Experimental Research: Causality, Demand Characteristics, Control, Experimental Validity and Introduction to Various Experimental Designs – II
+ Feedback and reflection
Creating an experiment; designing an experiment (important design elements); cause, effect and experimental confound; demand characteristics; practical experimental design issues; issues of experimental validity; types of experimental designs (true; quasi and non-experimental as well as time-series) (pretest-posttest control group; posttest only control group; non-equivalent control group, multiple treatment and complex designs; difference in difference etc.); 3 (2+1) Exercise Good and practical understanding of experiments and experimental designs.

Eligibility & Intended Audience

Eligibility :

Should be pursuing Bachelors degree or above

Intended Audience :

  • Students
  • PhD Scholars
  • Faculty members
  • Researchers from field-based organizations involved in social science research as well as public health

Certification Criteria

Certification will be based on the Assignment Score and the Attendance percentage.

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