Spss “categorical data analysis” | Computer Science homework help

Category: Computer Science

  

DUE 11/9/2018     8 P.M EST

ORIGINAL WORK  DATA ATTACHED

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. (ADD CHARTS)

To prepare for this Discussion:

  • Create      a research question      using the General Social      Survey dataset (ATTACHED) that can be answered           using categorical analysis.

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

  1. What is      your research question?
  2. What is      the null hypothesis for  your question?
  3. What      research design would  align with this question?
  4. What      dependent variable was  used and how is it measured?
  5. What      independent variable is used and how is it measured?
  6. If you      found significance, what  is the strength of the effect?
  7. Explain      your results for a lay  audience and further explain what the answer      is to your research question.

EXAMPLE BELOW

 

For the data set, General Survey, I chose the following variables:  Citizen – ARE YOU A CITIZEN OF AMERICA? This is a numeric, nominal, categorical variable ). The second variable: owngun: HAVE GUN IN HOMES2SUSECLG. This is a numeric, nominal, categorical variable ).

Research question: Does American citizenship depict gun ownership in the home?        

Null hypothesis for question: American citizenship does not depict gun ownership in the home.

Research design alignment with question: Chi-Square

Dependent variable: Citizen: ARE YOU A CITIZEN OF AMERICA?. This is a numeric, nominal, categorical variable .

Independent variable: Owngun: HAVE GUN IN HOMES2SUSECLG. This is a numeric, nominal, categorical variable (

If you found significance, what is the strength of the effect? The chi-square test will tell us if there is a relationship, not the strength. The Cramer V will assist with the answering the strength of a relationship between the variables. But first, we look at the case processing summary. 871 chose to answer and 1667 are missing from the analysis due to not being available. As we look to the crosstabulation. 99.2% of citizens have a gun in the home and 92% do not. 0.8 non-citizens have a gun in the home and 8.0% have no gun in the home. As we move on to the chi-square test, we can see have significance and therefore reject the null hypothesis that being an American citizen does not indicate gun ownership. Furthermore, our chi-square is 19.255. The test is significant at the .01 level which is well below the .05 threshold. We assume there is a relationship between American citizenship and gun ownership in the home. Now we look to the strength of this relationship. We look to the Cramer’s V, which is .149. A value of 0 indicates no relationship and a value of 1.0 indicated a perfect relationship (Laureate Education, 2016m). We can see there is a relationship but it is a weak relationship.

Table 1

Bivariate and Chi Square Statistics

Explain your results for a lay audience and further explain what the answer is to your research question.

Being an American citizenship does depict gun ownership in a home for those that completed the survey. However, it is a weak relationship due to the number of respondents and the number of missing values.

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