Posted by
Rich Ulrich on
Dec 11, 2018; 10:18pm
URL: http://spssx-discussion.165.s1.nabble.com/correlation-for-two-different-samples-tp5737159p5737160.html
If you have one record per family, you can certainly compute the correlation
between these two variables. It is just an ordinary correlation between two
different variables.
Where school data (with kids and parents) potentially offers a problem is when
you have two kids in the same family, with the same "family" variable used twice;
those two values are not "independent". You can (a) ignore the duplication; (b)
use the average score for kids; (c) chose the older or younger; (d) obtain a version
of r from an ANOVA. My own choice would depend on who my audience is, and how
many "duplicated values" of that sort exist. (d) is the most "proper", though it
probably needs computation by hand from an ANOVA.
The term "matched pairs" makes me think of a paired t-test, which has the same
variable measured for left vs. right, for two individuals, or at two times, or the like.
--
Rich Ulrich
Hi everybody
i have a data of two variables
the degree of kids satisfaction about their school
and
their parents degree of participation in school's activities
can i call this as matched pairs?
can i do a correlation coefficient between these two variables? what is the logic?
thanks a lot
Abdalla Alsmadi college of graduate studies Arabian Gulf University - Bahrain Tel: 0097317239999 ext. 676
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