Research Design
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RSCH 6210 Week 7 Discussion Latest-Walden
RSCH6210
RSCH 6210 Week 7 DQ Latest-Walden
Research Design for One-Way ANOVA
Similar to 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, perform a one-way ANOVA, 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 one-way ANOVA testing.
Using the SPSS software, open the General Social Survey dataset
found in this week’s Learning Resources.
Using the General Social Survey dataset, construct a research
question that can be answered by a one-way ANOVA.
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?
If you found significance, what is the strength of the effect?
Explain your results for a lay audience and further explain what
the answer is 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 respond
based the following:
Do you think the variables are appropriately used? Why or why
not?
Does the analysis answer the research question? Be sure to
provide constructive and helpful comments for possible improvement.
If there was a significant effect, comment 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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