Experimental Study / Experimental Research Designs

[Neeraj Kaushik]

Gud eve Friends

Almost 90% of the discussions in this group are focussed on Descriptive Study: Cross-sectional Data. Sunita Mam is superbly helping Scholars working in the area of Times Series.

But somehow, we never touched the Experimental Designs. 

That's why I tried to explain the various types of Research https://youtu.be/HQX78oXM00I and working on Paired T-test https://youtu.be/4ew2XlRwYmc.

The paired t-test is used for the Before and After measurements. However, when there are more than 2 measurements e.g. Before and After and After; we use Repeat Measure ANOVA. I explained the same on https://youtu.be/Xp9bA-PNawY

Link for the previous Posts (Table of Contents of the Data Analysis Training Google group): https://goo.gl/vDcCXL

Beyond ANOVA (Part 7.1) {Repeat Measure ANOVA}: https://goo.gl/5We8hE

Beyond ANOVA (Part 7.2) {Fundamentals of RMA}: https://goo.gl/hVh19F

Beyond ANOVA (Part 7.3) {RMA in SPSS-Various Cases}: https://goo.gl/dKa2JZ

SPSS Datafile used in this video: https://goo.gl/psUt21

Plz feel free to ask for any/every doubt.

Happy Learning

Neeraj

[Neeraj Kaushik]

Dear Friends

I explained the 2nd part of Experimental Design on https://youtu.be/EFcUySd1QUw

It's an interesting play of so many variables and hence there can be so much analysis:

• First, the main variable is measured on 4 time periods, thus making it a case of Repeat measure.
  
• Then I'm checking whether the change is characterized (affected) by different markets or promotions or type of stores or any combination of these 2 or 3 variables.
  
• Finally, I am looking for removing the effect of co-variate.
  

Hope you'll like this new domain.

Happy Learning

Neeraj

[Sajal Das]

Good Evening Sir,

You always mesmerize us with your innovative and out of the box approaches towards advancement of learning. 

Thank You Sir for your latest videos.

Regards

Dr. Sajal Das

Associate Professor

Calcutta University

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