Experimental Research part-4, External Validity & types of Experimental Research design

Описание: Experimental Research part-4, External Validity & types of Experimental Research design

In this lecture, Dr. Himani Upadhyay explains External Validity and the Types of Experimental Research Designs in a very simple and easy-to-understand way.

After understanding internal validity in previous lectures, this session focuses on external validity, which helps researchers know whether the findings of an experiment can be generalized to real-life situations.

🌍 What is External Validity?

External validity refers to the generalizability of experimental results — whether the results can be applied to different people, places, and situations.
This concept is explained with simple and practical examples.

⚠️ Threats to External Validity:

Each threat is explained clearly with examples:
Interaction of Selection & Treatment
Interaction of Testing & Treatment
Interaction of Setting & Treatment
Interaction of History & Treatment
Reactive Effect of Experimental Arrangements
Experimental Bias / Hawthorne Effect
Placebo Effect

Students will understand how these factors affect the real-world applicability of experiments.

🧪 Types of Experimental Research Design:

This lecture also explains the basic differences among experimental designs based on the classification by Campbell & Stanley (1963).

You will get a brief and clear understanding of:
✔ Pre-Experimental Designs
✔ True Experimental Designs
✔ Quasi-Experimental Designs

Each type is explained in a simple, comparative manner to help students easily remember the differences.

🎓 What You Will Learn:

✔ Meaning of External Validity
✔ Threats to External Validity
✔ Real-life examples of validity threats
✔ Types of Experimental Research Designs
✔ Campbell & Stanley model explained simply

👩‍🏫 About the Educator:

Dr. Himani Upadhyay, founder of Shodh Yatra, simplifies complex research methodology topics so students can understand research concepts easily and confidently.

📢 Don’t Forget:

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