Re: Multiple Linear Regression with Nominal, Ordinal and Interval Data

Jenny wrote:
Hi,
I am hoping you can help me. We did a study using a 19 page
questionnaire containing a demographic questionnaire (which contains
categorical questions such as race, mar status etc) and likert scaled
ordinal items. The other questionnaires are various validated
assessment tools such as Barkley and Murphey's ADHD Screening Tool and
Rosenberg's Self Esteem Scale, which after they are scored translate to
interval data. The dependent variable for this study is also interval
and is the student's final grade in the course ranging from 48-100.
The goal is to develop one prediction model which evaluates all the
IV's at the same time. I have dummy coded the categorical data, the
dichotomous variables such as gender are coded with 0's and 1's but the
question remains - what do I do with the likert scale data?

The scale values that are assigned to the categories on a Likert scale
are usually not critical. There are usually many sets of scale values
that will give essentially the same numeric results and lead to the
same substantive conclusions, so treat your Likert-scale scores as
interval data. If you think some of the inter-category intervals are
not right then you can adjust the scale values accordingly, but don't
collapse categories unless you truly believe that the the distinction
between the categories is unrelated to any difference on the d.v.

.

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