RSCH 8210 Walden University Testing for Bivariate Categorical Analytical Review

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Ebfr89

Health Medical

RSCH 8210

Walden University

RSCH

Description

  • 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.
  • Using the SPSS software, open the Afrobarometer dataset
  • Next, review the Chi Square Scenarios found in this week’s Learning Resources and consider each research scenario for this Assignment.
  • Based on the dataset you chose and for each research scenario provided, using the SPSS software, choose a categorical data analysis and run a sample test.
  • Once you perform your categorical data analysis, review Chapter 11 of the Wagner text to understand how to copy and paste your output into your Word document.

Write a 1- to 2-paragraph analysis of your categorical data results for each research scenario. If you are using the Afrobarometer Dataset, report the mean of Q1 (Age). In your analysis, display the data for the output. Based on your results, provide an explanation of what the implications of social change might be.

Use proper APA format, citations, and referencing for your analysis, research question, and display of output.

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Explanation & Answer

Attached.

Testing for Bivariate Categorical Analysis
i.

Scenario One
a. Research Question
b. Hypothesis
c. Chi-square Test Results
d. Strength of the Effect
e. Implications for Social Change

ii.

Scenario Two
a. Research Question
b. Hypothesis
c. Chi-square Test Results
d. Strength of the Effect
e. Implications for Social Change

iii.

Scenario Three
a. Research Question
b. Hypothesis
c. Chi-square Test Results
d. Strength of the Effect
e. Implications for Social Change


Running head: BIVARIATE CATEGORICAL ANALYSIS

Testing for Bivariate Categorical Analysis
Student’s Name
Institutional Affiliation

1

BIVARIATE CATEGORICAL ANALYSIS

2

Testing for Bivariate Categorical Analysis
In undertaking research, the bivariate assessment helps researchers undertake quantitative
evaluation, which is crucial in making an empirical conclusion associated with two categorical
variables under statistical investigation. According to Frankfort-Nachmias, Leon-Guerrero, and
Davis (2020), a bivariate categorical assessment encompasses the chi-square test utilized in
assessing categorical variables with nominal or ordinal scale level of evaluation. Hence, the
paper aims at analyzing the provided Afro-barometer dataset to investigate the African
perception concerning their country’s standards of economic status, democracy, and the quality
of governa...

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