Problem Set 1: The paired-samples t test

Research Scenario: A sports psychologist is studying the efficacy of a new public school health program on the number of minutes 10^th graders exercise per week. She surveys a sample of 10^th graders before the program begins and records the number of minutes they report exercising per week. After two months in the program, the students are surveyed again. The data are listed in the table below.

Using this table, enter the data into a new SPSS data file and run a paired-samples t test to test the claim that the new public health program significantly increases the number of minutes exercised for 10^th graders. Create a boxplot to show the difference between the groups. Follow the directions below the table to complete this part.

Problem Set 2: The paired-samples t test

Research Scenario: A licensed marriage and family therapist (LMFT) is looking into communication issues in a sample of 9 married couples in his clinic. Specifically, he wants to know if there is a difference in how satisfied husbands and wives are with the communication in their marriage. Because he took research methods and statistics during college, he knows that he needs to use a matched-subjects design to compare related participants like spouses, which requires a paired-samples t test. Each husband and wife completes an inventory where scores range from 0 to 20, and higher scores indicate higher satisfaction with the communication in the marriage. The LMFT records their responses, shown in the table below.

Using this table, enter the data into a new SPSS data file and run a paired-samples t test to test the claim that there is a difference between husbands and wives on their satisfaction with the communication within their marriage. Create a boxplot to show the difference between the groups. Follow the directions below the table to complete this part.

Problem Set 3: Cumulative Knowledge Question

Research Scenario: A social psychologist working for a marketing department wants to study the effect of scenario descriptions on charitable giving to a child hunger organization. He devises two scenarios: one in which an employee of the charity describes child hunger using facts and information (Group 1), and one in which an employee of the charity describes child hunger using an anecdotal example with one “identifiable victim” (Small, 2016) (Group 2). Eight people are interviewed in each group. After hearing the employee read the child hunger scenario, the participants are then asked to state how much money they would donate to the charity to help end child hunger. The data appear in the table below.

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 there is a difference in the amount of money between the two groups. Follow the directions below the table to complete this part.