Statistic Chi-Square

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cf_Week_09_Assignment_Data1.jasp

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cf_PSYC3700_Assignment_9_06.docx

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Week 9 Assignment

For this assignment you will use the Week_09_Assignment_Data.csv file, which can be found on the Week 9 Assignment page in Canvas. This is a hypothetical dataset. Assume these data were collected from a representative sample of students from one large undergraduate-level psychology program.

The dataset includes the following variables:

· id : A unique nominal-level identification number assigned to each student

· admit_type : Classification of whether the student was admitted as a transfer student (trn) or first-year student (fyr). Transfer students are admitted with at least 18 transfer credits while first-year students are admitted with less than 18 transfer credits.

· program : Whether the student was enrolled in the applied behavior analysis (aba) program, general psychology program, or pre-counseling program.

Criteria:

· Conduct a chi-square test in JASP

· Explain how to check the assumptions of a chi-square test

· Interpret the statistical significance of a chi-square test

· Write a paragraph in APA style summarizing the results of your analysis

In JASP, conduct a chi-square test of independence to determine if there is evidence of a relationship between admit_type and program. Include the expected counts on your contingency table. Request Cramér’s V as a measure of effect size.

[Include a screenshot of your JASP output here. Include the contingency table, chi-square tests table, and the table showing Cramér’s V.]

Have both assumptions of the chi-square test of independence been met? Explain how you checked each assumption.

At the .05 alpha level, is the test statistically significant? Explain how you determined this.

Is there evidence of a relationship between admit_type and program in this population? Explain how you determined this.

Write a paragraph that briefly summarizes the study and reports the results of the chi-square test in APA style. Most students will need between 40 and 60 words.

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