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8210 Wk11 Dis

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8210 Week 11

Discussion: Categorical Data Analysis

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, perform categorical data analysis that answers the question, 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:

1. Review Chapters 10 and 11 of the Frankfort-Nachmias & Leon-Guerrero course text and the media program found in this week’s Learning Resources related to bivariate categorical tests.

2. Create a research question using the General Social Survey dataset that can be answered using categorical analysis.

Assignment Task Part 1

Use SPSS to answer the research question. Post your 1 ½ pg. response to the following:

1. Include the General Social Survey Dataset’s mean of Age to verify the dataset you used.

1. What is your research question?

1. What is the null hypothesis for your question?

1. What research design would align with this question?

1. What dependent variable was used and how is it measured?

1. What independent variable is used and how is it measured?

1. If you found significance, what is the strength of the effect?

1. 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.

Assignment Task Part 2

Respond to at least one of your colleagues’ posts in 125 words and comment on the following:

1. Do you think the variables are appropriately used? Why or why not?

1. Does the analysis answer the research question? Be sure and provide constructive and helpful comments for possible improvement.

1. As a lay reader, were you able to understand the results and their implications? Why or why not?

8210 Wk11 Dis

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Colleagues Responses

Respond to at least one of your colleagues’ posts
in 125 words
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.

As a lay reader, were you able to understand the results and their implications? Why or why not?

 

2 days ago


Romel Jimera 

What is the Relationship Between Marital Status and Residential Dwelling?

The respondent’s mean age is 49.01, verifying the use of the General Social Survey dataset in SPSS ver. 28.

Research Question

Does marital status determine whether one should own a home or rent a place to live? Do most single persons rent as opposed to owning, or do most married couples own as opposed to renting? Will they purchase a home, rent, or make alternative living arrangements when they split up or divorces? My research question is, what is the relationship between marital status and the type of residential dwelling (owning or renting)? Moreover, a simple correlation design with descriptive statistics would align with the research question.

          H1: There is a relationship between marital status and residential dwelling.

          H0: There is no relationship between marital status and residential dwelling.

Variables

The respondent’s residential status is the dependent variable. It is a nominal variable determined by whether the individual owns or rents a residence, among other factors. The independent variable is the marital status of the responder. It is a nominal variable that they can answer, whether they are married, widowed, divorced, separated, or have never been married.

Categorical Data Analysis

The above table shows some association between marital status and residential dwelling: 78% of the married respondents own a home, and 21.5% rent. Similarly, 75% of widowed are homeowners, with 22.9% renting. Of those who are divorced, approximately 57.3% of them still own homes, while 39.9% rent. However, renting a residence is mostly common for those separated (61.5%) and those who are never married (59.7%). Thus, the frequency distributions of marital status are different for the residential dwelling types.



Significance and Strength of the Effect


There is a significant relationship between the two variables. The proportion of respondents who reported owning or renting a home differs by marital status, X2 (8, N = 1668) = 221.76, p = < .001. The relationship has statistical significance. Thus, rejecting the null hypothesis.

 Since five categories are involved, Cramer’s V value of .258 is considered moderately substantial and statistically significant, p = < .001.


Conclusion

There is a significant relationship between marital status and residential dwelling types. The relationship is statistically significant and has a slightly moderate effect on strength. Therefore, we assumed that most individuals who have never been married rent, and those who want to get married should save up to buy their dream home. If the marriage fails, there is a 40-60 percent probability that they will lose their house.

It has been a pleasure learning from you all. Thank you, and best of luck! – Romel


References

Walden University, LLC. (Producer). (2016a). Bivariate categorical tests [Video file]. Author.

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