Problem Set 1: Linear Regression Analysis
Research Scenario: A community
psychologist is interested in whether people’s self-reported degree of religious belief predicts their self-reported feelings of well-being. She administers two questionnaires to 17 individuals, one of which measures degree of religious beliefs (scores range from 1-20 with higher scores indicating higher degree of belief), and another which measures feelings of well-being (scores range from 1-25 with higher scores indicating stronger feelings of well-being). The psychologist compiles the information listed in the table below.
Using this table, enter the data into a new SPSS data file and run a linear regression analysis to test whether religious belief predicts feelings of well-being. scatterplot with a regression line to show the relationship between the variables.
- Paste SPSS output.
- Results section based on your analysis including independent and dependent variables, confidence interval, effect size, 1 or 2 tailed and the p value.
Problem Set 2: Linear Regression Analysis
Research Scenario: A social psychologist is interested in whether the number of days spent in a refugee camp predicts trauma levels in recently resettled refugees. He interviews 17 refugees to determine how many days they spent in a refugee camp before being resettled, then administers the Harvard Trauma Questionnaire Part IV (HTQ Part 4), where a higher score indicates higher levels of trauma (Mollica et al., 1992). He compiles the information in the table below.
Using this table, enter the data into a new SPSS data file and run a linear regression analysis to test whether days in a refugee camp predict HTQ-4 scores. scatterplot with a regression line to show the relationship between the variables.
- Paste SPSS output.
- Results section based on your analysis including independent and dependent variables, confidence interval, effect size, 1 or 2 tailed and the p value.