Week 11 DQ
- What is your research question?
Is there a relationship between a person marital status and whether they own/buying or rent there home?
- What is the null hypothesis for your question?
H0 = There is not a relationship between a person’s marital status and whether they own/buying or rent their home.
- What research design would align with this question?
A descriptive research method is one of the ones better suited for analysis that include univariate and bivariate studies (Data presentation : Bivariate tables, constructing percentage tables, 2016).
- What dependent variable was used and how is it measured?
“Does the respondent own or rent home?” is the dependent variable. It is measured as: 1) Owns or is buying. 2) Pays rent. 3) Other. 4) Do not know. 5 Not applicable.
- What independent variable is used and how is it measured?
“What is the respondent’s marital status?” is the independent variable. It is measured as 1) Married. 2) Widowed. 3) Divorced. 4) Separated. 5) Never married. 6) Not applicable.
- If you found significance, what is the strength of the effect?
Out of a total of 2,538 1,668 were valid responses and 870 were missing a response. 1,034 respondents either owned or were buying their home which represents 55.19% of the respondents owning or buying their home were married. 609 respondents were renting their home which represents 45.0% of the respondents renting were never married (General Social Survey, 2014). The chi Square results were 221.764 with an asymptotic significance of .000 (General Social Survey, 2014). The significance indicates that the null hypothesis can be rejected since it is below the .001 level and well below the standard of .05 (Laureate Education (Producer), (2016a). The Phi was .365 with a significance of .000 and the Cramer’s V was .285 with a significance of .000. Since .000 indicates no relationship and 1.000 indicates a perfect relationship. The values of Phi at .365 and Cramer’s V at .285 indicate a moderate relationship between the respondents marital status and whether the own or are buying or rent their home. (General Social Survey, 2014, and Laureate Education, (Producer), 2016a).
- Explain your results for a lay audience and further explain what the answer is to your research question.
There are several factors in the analysis that will indicate whether the research question is valid and there is a relationship and whether to accept or reject the null hypothesis. First if the percentages of the respondents are approximately equal then there is no relationship between the variables. The percentage of married owners/buyers was 55.19% and the percentage of never married renters is 45.0%. These were the highest in each category. Secondly, the acceptance or rejection of the null hypothesis can be determined by the Chi Square asymptotic significance. The Phi and the Cramer’s V are indications of the degree of the relationship. If they are .000 then no relationship exists. If they are 1.000 then there is a perfect relationship. The Phi was .365 and the Cramer’s V was .285. Both of these are below the mid-range and indicate a moderate relationship between the respondent marital status and whether the own or are buying or rent their home.
Tables
|
Case Processing Summary |
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|
|
Cases |
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|
Valid |
Missing |
Total |
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|
N |
Percent |
N |
Percent |
N |
Percent |
|
|
MARITAL STATUS * DOES R OWN OR RENT HOME? |
1668 |
65.7% |
870 |
34.3% |
2538 |
100.0% |
(General Social Survey, 2014).
|
MARITAL STATUS * DOES R OWN OR RENT HOME? Crosstabulation |
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|
DOES R OWN OR RENT HOME? |
Total |
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|
OWN OR IS BUYING |
PAYS RENT |
OTHER |
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|
MARITAL STATUS |
MARRIED |
Count |
570 |
157 |
4 |
731 |
|
% within DOES R OWN OR RENT HOME? |
55.1% |
25.8% |
16.0% |
43.8% |
||
|
WIDOWED |
Count |
105 |
32 |
3 |
140 |
|
|
% within DOES R OWN OR RENT HOME? |
10.2% |
5.3% |
12.0% |
8.4% |
||
|
DIVORCED |
Count |
164 |
114 |
8 |
286 |
|
|
% within DOES R OWN OR RENT HOME? |
15.9% |
18.7% |
32.0% |
17.1% |
||
|
SEPARATED |
Count |
18 |
32 |
2 |
52 |
|
|
% within DOES R OWN OR RENT HOME? |
1.7% |
5.3% |
8.0% |
3.1% |
||
|
NEVER MARRIED |
Count |
177 |
274 |
8 |
459 |
|
|
% within DOES R OWN OR RENT HOME? |
17.1% |
45.0% |
32.0% |
27.5% |
||
|
Total |
Count |
1034 |
609 |
25 |
1668 |
|
|
% within DOES R OWN OR RENT HOME? |
100.0% |
100.0% |
100.0% |
100.0% |
||
(General Social Survey, 2014).
|
Chi-Square Tests |
|||
|
|
Value |
df |
Asymptotic Significance (2-sided) |
|
Pearson Chi-Square |
221.764a |
8 |
.000 |
|
Likelihood Ratio |
223.460 |
8 |
.000 |
|
Linear-by-Linear Association |
195.302 |
1 |
.000 |
|
N of Valid Cases |
1668 |
|
|
|
a. 3 cells (20.0%) have expected count less than 5. The minimum expected count is .78. |
|||
(General Social Survey, 2014).
|
MARITAL STATUS * DOES R OWN OR RENT HOME? Crosstabulation |
|
Symmetric Measures |
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|
|
Value |
Approximate Significance |
|
|
Nominal by Nominal |
Phi |
.365 |
.000 |
|
Cramer's V |
.258 |
.000 |
|
|
N of Valid Cases |
1668 |
|
|
(General Social Survey, 2014).
References
Data presentation : Bivariate tables, constructing percentage tables. (2016). Retrieved from http://www.zeepedia.com/read.php?data_presentation_bivariate_tables_cons...
General Social Survey. (2014). Retrieved from Walden University.
Laureate Education (Producer). (2016a). Bivariate categorical tests [Video file]. Baltimore, MD: Author.