Your instructor will post an announcement with the scenario and data set for your Week 2 assignment. For the calculations in this assignment, you may use either Excel or the free VassarStats: Website for Statistical Computation (Links to an external site.) program online. Instructions for performing a chi-square test of independence in Excel are included in Section 10.4 of the textbook, accompanied by a screencast demonstrating the process in the electronic version. Screencasts showing how to do a chi-square goodness-of-fit test and a chi-square test of independence in VassarStats are included in the Week 2 learning activity, which you may review at any time. For this test, you may prefer VassarStats (Links to an external site.) because it is more automated than Excel. You also have the option of calculating the chi-square manually but if you choose this option, you must show your work and explain all of the steps taken to solve for the chi-square value and to determine statistical significance.
In your paper, begin with a paragraph introducing the scenario and explaining why a chi-square test is needed for the situation. Then, address the following:
- Identify which chi-square test you used and which program or procedure you used for the analysis.
- Describe the procedure you used to calculate the chi-square.
- If using VassarStats (Links to an external site.), copy and paste the data entry area and output into your paper. If using Excel, submit the Excel spreadsheet separately and mention in your paper that the spreadsheet is attached. If using hand calculations, include a table showing the observed and expected frequencies, along with the row and column totals and chi-square calculations.
- Report the chi-square value, degrees of freedom, and the p
- Explain how you determined the p Is the result statistically significant?
- If the test is a chi-square test of independence with a statistically significant result, report the effect size using Cramér’s V.
- Explain the meaning of the results in terms of the scenario.
- Discuss any assumptions, limitations, and implications associated with the situation and analysis.
- Summarize the main points of the paper in a concluding paragraph.
The Chi-Square Data Analysis paper
- Must be two to three double-spaced pages in length (not including title and references pages) and formatted according to APA Style as outlined in the Ashford Writing Center’s APA Style (Links to an external site.)
- Must include a separate title page with the following:
- Title of paper
- Student’s name
- Course name and number
- Instructor’s name
- Date submitted
For further assistance with the formatting and the title page, refer to APA Formatting for Word 2013 (Links to an external site.).
- Must include an introduction and conclusion paragraph. Your introduction paragraph needs to end with a clear statement that indicates the purpose of your paper, to report and explain your analysis of the scenario and data set.
- For assistance on writing Introductions & Conclusions (Links to an external site.), refer to the Ashford Writing Center resources.
- Must use the course text; and Excel, VassarStats, or detailed documentation of hand calculations. Refer to Tables, Images, & Appendices (Links to an external site.) for assistance with formatting data and results tables.
- Must document any information used from sources in APA Style as outlined in the Ashford Writing Center’s APA: Citing Within Your Paper