SPSS: Chi Square Tests Assignment Instructions Overview This assignment is designed to increase your statistical literacy and proficiency in conducting and interpreting the chi square test of goodness of fit and the chi square test of independence

Problem Set 1: Chi Square Test of Goodness of Fit

Research Scenario: A substance abuse counselor is interested in the effects of dental prescriptions of opioids to teenagers. He particularly wants to look at whether there is a difference in opioid dependence based on whether or not young adults had opioids prescribed after a wisdom teeth extraction during their teenage years. He gathers data from local treatment centers, focusing on young adults (age 18-25) with diagnosed opioid dependency. He creates the table below based on the frequency of opioid-dependent young adults who answered that they either: received (and took) an opioid prescription from a dentist for wisdom teeth removal; did not receive an opioid prescription from a dentist for wisdom teeth removal; or did not have wisdom teeth removed at any time.

Using this table, enter the data into a new SPSS data file and run a Chi Square Test of Goodness of Fit to test whether the proportions of opioid dependency are equal across categories. Remember to weight cases as shown in the presentation. Create a simple bar chart to show the relationship between the variables. Follow the directions below the table to complete the homework.

Problem Set 2: Chi Square Test for Independence

Research Scenario: A forensic psychologist is running a jury study to examine factors that influence jury decisions. He hires actors to conduct a mock trial with the characteristics of actual criminal trials, with the exception that the “jury” is larger than 12 people in order to have a larger sample. At the end of the mock trial, he polls the jury participants and asks them what their decision would be regarding the defendant: vote to convict, vote to acquit, or undecided. He records the frequencies of answers in the table below.

Using this table, enter the data into a new SPSS data file and run a Chi Square Test of Goodness of Fit to test whether the proportions are equal across categories. Remember to weight cases as shown in the presentation. Create a simple bar chart to show the relationship between the variables. Follow the directions below the table to complete the homework.

Problem Set 3: Cumulative Knowledge Question

Research Scenario: An admissions counselor wants to find out if TOEFL® scores are predictive of college GPA for international students at a local university. The TOEFL is the Test of English as a Foreign Language, which the school requires for admission, and students can score from 0-120, with 120 being a perfect score. The data from the latest freshmen class are in the table below. Can TOEFL scores be used as a predictor of college GPA?

Using this table, enter the data into a new SPSS data file. Choose the correct analysis (it will be one learned in a previous module) to determine whether TOEFL scores predict college GPA for international students. Follow the directions below the table to complete this part.