Week 10 discussion
Estimating Models Using Dummy Variables
You have had plenty of opportunity to interpret coefficients
for metric variables in regression models. Using and interpreting categorical
variables takes just a little bit of extra practice. In this Discussion, you
will have the opportunity to practice how to recode categorical variables so
they can be used in a regression model and how to properly interpret the
coefficients. Additionally, you will gain some practice in running diagnostics
and identifying any potential problems with the model.
To prepare for this Discussion:
Review Warner’s Chapter 12 and Chapter 2 of the Wagner
course text and the media program found in this week’s Learning Resources and
consider the use of dummy variables.
Create a research question using the General Social Survey
dataset that can be answered by multiple regression. Using the SPSS software,
choose a categorical variable to dummy code as one of your predictor variables.
By Day 3
Estimate a multiple regression model that answers your
research question. Post your response to the following:
What is your research question?
Interpret the coefficients for the model, specifically
commenting on the dummy variable.
Run diagnostics for the regression model. Does the model
meet all of the assumptions? Be sure and comment on what assumptions were not
met and the possible implications. Is there any possible remedy for one the
assumption violations?
Be sure to support your Main Post and Response Post with
reference to the week’s Learning Resources and other scholarly evidence in APA
Style.
By Day 5
Respond to at least one of your colleagues’ posts and
provide a constructive comment on their assessment of diagnostics.
Were all assumptions tested for?
Are there some violations that the model might be robust
against? Why or why not?
Explain and provide any additional resources (i.e., web
links, articles, etc.) to provide your colleague with addressing diagnostic
issues.
Click on the Reply button below to reveal the textbox for
entering your message. Then click on the Submit button to post your message.
