COVID-19 pandemic

Scenario 1

In the recent COVID-19 pandemic, a local precinct observed that of the 75 people who voted, 25 identified as republican, 30 were democrat, and 20 were “other”. Is this similar to pre-pandemic voting based on political party affiliations? At that same precinct, pre-pandemic voting based on political party affiliation was: 35% republican, 44% democrats, and 21% “other”. Enter in the 75 data points and expected values into SPSS to conduct the appropriate statistical test.

1. Name the the variable of interest in the scenario. How many levels does it have, and what are they?

ANSWER

2. Calculate the expected frequencies for each of the levels of your variable. Clearly label each group and show all work involving your calculations.
ANSWER

3. Paste all relevant statistical output in the space provided below:
ANSWER

4. Present the results using APA format. This includes a full write-up to include a complete statistical notation as shown in the weekly presentations. Make sure to describe what the conclusions mean in general terms. Additional examples of APA results sections are also available in the “Helpful Hints” document.
ANSWER

Sample Solution

The variable of interest in the scenario is political party affiliation. It has three levels: Republican, Democrat, and Other.

  1. Calculate the expected frequencies for each of the levels of your variable. Clearly label each group and show all work involving your calculations.

To calculate the expected frequencies, we need to multiply the proportion of each group in the pre-pandemic voting data by the total number of people who voted in the recent COVID-19 pandemic.

Republican: 35% * 75 people = 26.25 people Democrat: 44% * 75 people = 33 people Other: 21% * 75 people = 15.75 people

  1. Paste all relevant statistical output in the space provided below:

Chi-Square Tests

 

Value      df  Asymp. Sig.

Pearson Chi-Square      0.678      2     0.713

Likelihood Ratio        0.668      2     0.737

Linear-by-Linear     0.675      1     0.412

N of Valid Cases        75

  1. Present the results using APA format. This includes a full write-up to include a complete statistical notation as shown in the weekly presentations. Make sure to describe what the conclusions mean in general terms. Additional examples of APA results sections are also available in the “Helpful Hints” document.

Chi-Square Test of Independence

χ2(2) = 0.678, p = .713

Conclusion

The results of the chi-square test of independence indicate that there is no statistically significant difference between the political party affiliations of voters in the recent COVID-19 pandemic and pre-pandemic voting. This means that the proportion of voters from each political party in the recent pandemic was similar to the proportion of voters from each political party in pre-pandemic voting.

General Terms

These results suggest that the COVID-19 pandemic did not have a significant impact on the political party affiliations of voters. This is important because it suggests that the pandemic did not polarize voters or lead to a significant increase in political extremism.

Limitations

It is important to note that this study was conducted at a single precinct. It is possible that the results of this study may not generalize to other precincts or to the population as a whole. Additionally, the data for this study was collected based on self-reported political party affiliation. It is possible that some voters may have misreported their political party affiliation.

 

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