Re: Non-Equivalent Control Groups Design/ Quasi-Experimental Design

Posted by Mike on Jul 15, 2016; 11:16am
URL: http://spssx-discussion.165.s1.nabble.com/Non-Equivalent-Control-Groups-Design-Quasi-Experimental-Design-tp5732723p5732742.html

If collecting the data is not too difficult, I would suggest
replicating the experiment -- we are talking about N=27,
right?  The key thing would be randomize the people in
the blocks across the images, following the example of
Allan Edwards that I provided earlier.  The analysis would
be rather straightforward from there.  Moreover, you could
compare the results from the first experiment to the second
experiment to see how much of a difference the randomization
makes in the results.

It is possible that a source like Kirk or some other researcher
has analyzed a design like you have now and has figured out
a way to make sense of the data but this will entail a search
of the literature and evaluation of the methods.  This could take
a fair amount of time unless someone knows for sure that there
is (or there is not) another way to analyze the data.

The decision I think you have to make is which of the above
options will take less time to do.

-Mike Palij
New York University
[hidden email]


----- Original Message -----
From: "kat92" <[hidden email]>
To: <[hidden email]>
Sent: Thursday, July 14, 2016 10:51 PM
Subject: Re: Non-Equivalent Control Groups Design/ Quasi-Experimental
Design

> Hi Mike,
>
> Thanks for your reply, it was my final year project and my supervisor
> suggested the research design. She was out of town so I couldn't reach
> her,
> that's why I turned to discussion forum for help. I will definitely
> read the
> reference you mentioned and think of ways to improve the design. One
> last
> question, is collecting the data again the only way for me now?
>
> Thanks.
> View this message in context:
> http://spssx-discussion.1045642.n5.nabble.com/Non-Equivalent-Control-Groups-Design-Quasi-Experimental-Design-tp5732723p5732741.html
> Sent from the SPSSX Discussion mailing list archive at Nabble.com.

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