1 / 2

RSCH 6210 WEEK 9 DISCUSSION LATEST-WALDEN

Visit Below Link, To Download This Course:<br><br>https://www.tutorialsservice.net/product/rsch-6210-week-9-discussion-latest-walden/<br><br>Or <br>Email us on<br>SUPPORT@TUTORIALSSERVICE.NET<br><br>RSCH 6210 Week 9 Discussion Latest-Walden<br>RSCH6210<br>RSCH 6210 Week 9 Discussion Latest-Walden<br>Multiple Regression<br>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.<br>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.<br>

Download Presentation

RSCH 6210 WEEK 9 DISCUSSION LATEST-WALDEN

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. RSCH 6210 WEEK 9 DISCUSSION LATEST-WALDEN Visit Below Link, To Download This Course: https://www.tutorialsservice.net/product/rsch-6210-week-9-discussion-latest-walden/ Or Email us on SUPPORT@TUTORIALSSERVICE.NET 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?

  2. 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. Download Now

More Related