Dear Listers,
Happy 2014 !
I am doing a comparison on various variables from two different
dataset and some levels of measurement are the same, thus making the
comparison possible. What is the best way of collapsing a 5-item
Likert scale into a dichotomous variable? Any guide or articles to
read would be so much appreciated. The Likert is structured as
follows:
Dataset 1:
Life goals Very much Much Unsure Very
little Not at all
Have an interesting job 5 4 3
2 1
Have a career in sciencey 5 4 3
2 1
Dataset 2:
Life goals Much mentioned Unsure/not mentioned
Have an interesting job 2 1
Have a career in sciencey 2 1
I am inclined to collapse "very much" and "much" of Dataset 1 into the
same category while the rest would also fall under another category,
assuming that respondents who were "unsure" (the middle-point) about
their plan or goal would more likely be on the side of those with
little or no interest in the item measured. I also thought of dropping
the middle-point and unfortunately realised that the sample size would
be reduced to a great extent, thus affecting the analyses to be
performed on subgroups.
Is that right, sound statistically or methodologically?
Many thanks for your support.
Kind regards,
Jean
--
Jean Providence NZABONIMPA, PhD Student
Stellenbosch University
Cellphone: +250 (0)78 830 7850
+27 (0)83 689 7454
South Africa
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