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.