RSCH 6210 WEEK 8 DISCUSSION LATEST WALDEN
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RSCH 6210 Week 8 Discussion Latest-Walden
RSCH 6210 Week 8 DQ Latest-Walden
Correlation and Bivariate Regression
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 correlation and bivariate 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 regression and correlation.
Review Magnusson’s web blog found in the Learning Resources to further your visualization and understanding of correlations between two variables.
Construct a research question using the General Social Survey dataset, which can be answered by a Pearson correlation and bivariate 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?
If you found significance, what is the strength of the effect?
Explain your results for a lay audience; explain 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 analysis answer the research question? Be sure and 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.