Basic Demographics of Sample (for Participants subsection of Methods section): 111 total responses to survey Seven responses removed from data for reporting ages far outside typical college age range (40 or older) or for responding non-seriously to demographics items For remaining 104 participants (80 women, 24 men), ages ranged from 18 to 26 (M = 19.96, SD = 1.56). The sample's racial/ethnic composition was 42% Black/African-American participants, 40% White/European-American, 12% Hispanic/Latino, 3% Native American/First Nations, 2% Asian/Asian-American, and 1% South Asian. Descriptive Statistics (for Materials subsection of Methods section): Negative COVID Impact (average score across 5 items): M= 3.06, SD 94, a=.80 Positive COVID Impact (average score across 5 items): M 2.97. SD 84,a=.78 Life Satisfaction (average score across 5 items): M=2.78, SD = .90, a=.86 Correlations Between Average Scores (for Results section): Negative COVID Impact & Positive COVID Impact: r=-45, p Correlations Between Individual COVID-Related Item Scores and Life Satisfaction (For Results Section) Negative COVID Impact Items Difficult to get Difficult to have Lost desire to out of bed pos, outlook communicate Lost appetite Lost weight r P f P P P r P Correlation with Life Satisfaction 14 150 -42 Possible Cause-and-Effect Interpretations to Address in Your Discussion Sections: 1. Direct Causation: Impact of COVID has changed people's life satisfaction 2. Reverse Causation: Life satisfaction pre-COVID has led people to experience different impacts of COVID 3. Third-Variable Causation: See if you can think of at least one 3" variable that would independently contribute both to life satisfaction and to how people have been affected by the pandemic Other Things to Address in Your Discussion Sections: 1. Discuss individual item-level correlations-based on which of those correlations are strongest, what specific positive and negative impacts of COVID seem to have the strongest vs. weakest relationships with life satisfaction? If you had to give people advice about how to avoid negative impacts to their life satisfaction during COVID based on this data, what would you recommend? 2. Discussion of limitations (note that the main limitation of your study is the use of a cross-sectional correlational design - explain why this is a limitation, and explain why a longitudinal design would be an improvement) 3. Discussion of future directions-what would you do next to follow up on your findings here? Describe at least one future study you could conduct in some detail, including what you would predict/hypothesize