RSCH 6210 Week 7 Discussion Latest-Walden



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RSCH 6210 Week 7 Discussion Latest-Walden

RSCH 6210 Week 7 Discussion Latest-Walden


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?

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