Crosstabulations and Measures of AssociationCorrelation
In this week, we take a look at cross-tabulation or contingency tables, which deals with analysis of tabular data. This implies analysis of categorical/nominal variables. Moreover, chi-square and other measures of association are discussed, too.
Crosstabulation or contingency tables deals with analysis of tabular data, which implies analysis of categorical/nominal variables. In this module, chi-square and other measures of association are discussed.
Upon successful completion of this module, you will be able to:
- Develop research questions and testable hypotheses linked to existing theory or research.
- Develop hypotheses, choose appropriate statistics to test them, and describe the results correctly in a short research paper.
- Develop research questions and testable hypotheses linked to existing theory or research.
- Perform descriptive and inferential statistical analysis of public administrative datasets using IBM SPSS software.
- Interpret results from descriptive and inferential statistical analysis of public administrative datasets and place results in APA formatted text, tables, and figures.
Requirements: 3_4 | .doc file
Answer preview
The US Centers for Disease Control and Prevention (CDC) is the primary entity tasked with overseeing healthcare at the national level. As such, it is the most reliable data source for public datasets because the figures it generates shape government policies towards healthcare and the different interventions adopted. Lifestyle diseases have emerged as the cause of the most significant strain on the healthcare system. As such, it has become vital to collect data on different lifestyle diseases to gauge their actual impact and the most vulnerable populations. Diabetes is one of the many lifestyle diseases that the CDC studies and attempts to find a
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