Multiple Regression
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RSCH 6210 Week 9 Discussion Latest-Walden
RSCH6210
RSCH 6210 Week 9 Discussion Latest-Walden
Multiple Regression
As with the previous week’s Discussion, this Discussion assists
in solidifying your understanding of statistical testing by engaging in some
data analysis. This week you will once again work with a real, secondary dataset
to construct a research question, estimate a multiple regression model, and
interpret the results.
Whether in a scholarly or practitioner setting, good research
and data analysis should have the benefit of peer feedback. For this
Discussion, you will post your response to the hypothesis test, along with the
results. Be sure and remember that the goal is to obtain constructive feedback
to improve the research and its interpretation, so please view this as an
opportunity to learn from one another.
To prepare for this Discussion:
Review this week’s Learning Resources and media program related
to multiple regression.
Create a research question using the General Social Survey that
can be answered by multiple regression.
By Day 3
Use SPSS to answer the research question. Post your response to
the following:
What is your research question?
What is the null hypothesis for your question?
What research design would align with this question?
What dependent variable was used and how is it measured?
What independent variable is used and how is it measured?
What other variables were added to the multiple regression
models as controls?
What is the justification for adding the variables?
If you found significance, what is the strength of the effect?
Explain your results for a lay audience, explain what the answer
to your research question.
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 comment on
the following:
Do you think the variables are appropriately used? Why or why
not?
Does the addition of the control variables make sense to you?
Why or why not?
Does the analysis answer the research question? Be sure and provide
constructive and helpful comments for possible improvement.
If there was a significant effect, comments on the strength and
its meaningfulness.
As a lay reader, were you able to understand the results and
their implications? Why or why not?
Click on the Reply button below to reveal the textbox for
entering your message. Then click on the Submit button to post your message.
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