K L 1 social media Gender lonliness 2 1 21 3 1 20 4 1 22 5 1 25 6 1 27 7 1 33 8 1 35 9 1 21 10 1 26 11 1 30 12 1 30 13 1 1 32 14 1 1 27 15 1 1 29 16 1 1 40 17 1 1 40 18 1 1 41 19 1 1 29 20 1 39 20 21 1 38 22 2 33 23 2 37 24 2 39 25 2 55 26 2 45 27 38 28 39 29 36 30 49 31 50 32 1 40 33 1 49 34 1 50 35 1 51 36 1 58 37 1 44 38 1 48 39 1 59 40 2 1 40 41 2 1 60 42 3 60 43 3 65 44 3 69 45 3 59 46 3 60 47 3 65 48 3 70 49 3 65 50 3 60 51 3 59 52 3 1 70 53 3 1 75 54 3 1 69 55 3 1 60 56 3 1 70 57 3 1 70 58 3 1 76 59 1 77 60 3 1 63 61 3 1 69 62 A 1 Social media Usage 1=low,2=moderate,3=high 2 Gender 0=Female,1=Male 3 loneliness
Jason is interested in studying the effect of gender and social media usage on loneliness in college students. He obtained data from 30 men (10 men who had high social media usage and 10 men who had moderate social media usage and 10 who did not use social media much) and 30 women volunteers (10 women scored high on social media usage, 10 women moderately used the social media, and 10 scored low on social media usage) in their freshman year. Jason administered the Revised UCLA 20 item loneliness scale to measure subjective feelings of loneliness and social isolation to these 60 participants. A high score on the scale indicates higher feelings of loneliness. Participants rate each item on a scale from 1 (Never) to 4 (Often). There are two independent variables in the study (social media usage and gender) and one dependent variable, which is loneliness. The design for the study can be described as 3*2 ANOVA, number of levels of social media usage (low, moderate, high social media use) and number of levels of gender (males vs females).
Create a boxplot to show the interaction effect between gender and social media usage on loneliness.
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