NUR3014 : (Research Inquiry for Nursing Practice) Does the frequency of smoking differ between men and women in China?

Module / Subject / School:

NUR3014 : Research Inquiry for Nursing Practice

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What we score:

79%

Our Writer’s Comment 

This assignment is designed to assess students’ understanding of business practices.

To secure an A+ grade, adhere to these guidelines and make sure your work aligns with the grading criteria:

Step 1: Choose the right statistical test

Since you’re comparing the frequency of smoking between men and women, you’ll likely want to use a Chi-Square test. This is because Chi-Square is ideal for comparing categorical variables, such as gender and smoking frequency.

• Why not use Pearson Correlation or ANOVA? These tests are typically used for continuous variables, while in this case, you’re working with categorical data. Spearman Correlation is also more suited for ordinal or ranked data, which isn’t relevant to this question.
• In your SPSS analysis, you’ll set up your variables as follows: gender as one categorical variable (male/female) and smoking frequency as the other. Ensure your data is coded correctly so SPSS can run the test accurately.

Step 2: Analyze and interpret the results

Once you’ve run the Chi-Square test in SPSS, you’ll get output that includes a p-value. This will tell you whether there’s a significant difference in smoking frequency between men and women. If the p-value is less than 0.05, it means there is a statistically significant difference.

• Be clear about your interpretation: If the p-value is below 0.05, you can conclude that the frequency of smoking does differ between men and women in China. If it’s above 0.05, then there’s no significant difference. Ensure you explain this in your own words, as part of your findings.

Step 3: Present your results in APA style

This part is all about presentation and clarity. Make sure you report your findings in APA 7th edition format. Here’s what you should include:

• A clear and concise results section that includes your statistical test, p-value, and interpretation of the data.
• Tables and figures: APA style encourages clear, labeled tables and graphs to illustrate your data. In this case, a bar chart comparing smoking frequencies between men and women would work well. Make sure to label everything correctly and include titles and legends.
• Follow the APA format strictly: Be precise with your formatting—headings, citations, and references (if applicable) must follow the APA 7th edition guidelines.

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