Post by zencaroline
In my survey questionnaire, I have negative worded question
in order to prevent respondents from answering the questions in
a similar pattern. For the negative worded question item, after
running factor analysis, I will get negative factor loading in the
print out of factor analysis. I will group the items with high
factor loadings for one factor, regardless of negative sign of the
item question, due to negative worded sentence question.
The easiest way to avoid all those problems is to reverse-score the
negatively worded items. For instance, if your items have 5 response
options and the positively worded items are scored 1,2,3,4,5 then
score the negatively worded items 5,4,3,2,1. Reverse-scoring
simplifies the interpretation for both the writer (you) and the
readers. It is a well-known technique that no one will question. You
should, of course, indicate which items you have reverse-scored.
However, you should also know that a negative loading means that the
relation between the the item (however it was scored) and the factor
is backwards: people with higher scores on the factor generally have
lower scores on the item. The strength of the relation is just the
same as if the loading were positive; only the direction of the
relation differs. Also, note that, regardless of the sign of the
loading, the direction of the implication is from the factor score
to the item score, not the other way.
Post by zencaroline
Later I will use the result of factor analysis to run statistic
analysis, here is my question ---------- How should I deal with
the negative worded item question with negative factor loadings?
Should I reverse the negative sign into the positive sign first
and then start to run satistic analysis? Or I just run statistic
analysis directly right after running factor analysis without
reversing the negative sign of the negative worded questions into
positive sign? Or I should do something else?
You don't say what kind of statistical analysis you're contemplating,
but my guess is that you should probably leave the factor loadings as
they come out. It would really depend on just what the analysis is.