A social scientist has noticed that people seem to be spending a lot of nonwork hours on computers and wants to determine if this may, in some way, be associated with social relationship satisfaction (satisfaction derived from interacting with others). To determine if there is a correlation between nonwork computer hours and social satisfaction, the scientist recruited a group of participants and asked them to indicate (about) how many nonwork hours they spend on the computer each week. Next, each participant was given the Acme Social Satisfaction Inventory (ASSI); this self-administered instrument renders a score between 0 and 80 (0 = very low social satisfaction . . . 80 = very high social satisfaction).
Data set: Ch 11 – Exercise 02A.sav
Variable: CompHrs
Definition: Number of nonwork hours spent on the computer per week
Type: Continuous
Variable: ASSI
Definition: Acme Social Satisfaction Inventory
Type: Continuous (0 = Very low social satisfaction . . . 80 = Very high social satisfaction)
a. Write the hypotheses.
b. Run the criteria of the pretest checklist (normality [for both variables], linearity, homoscedasticity) and discuss your findings.
c. Run the bivariate correlation, scatterplot with regression line, and descriptive statistics for both variables and document your findings (r and Sig. [p value], ns, means, standard deviations) and hypothesis resolution.
d. Write an abstract under 200 words detailing a summary of the study, the bivariate correlation, hypothesis resolution, and implications of your findings.