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. 2020 Oct 31;17(21):8047. doi: 10.3390/ijerph17218047

Table 3.

Multiple regression analysis of the Tinder use characteristics.

Usage Time Use Frequency # of People Met
Descriptives M SD Sk M SD Sk M SD Sk
4.04 6.08 2.68 10.14 7.41 0.36 2.59 3.89 2.87
Model Radj2 F p Radj2 F p Radj2 F p
0.06 4.65 0.004 0.03 3.01 0.032 0.04 3.22 0.024
Coefficients b SE p b SE p b SE p
Intercept −6.63 4.74 0.164 −4.09 5.86 0.486 −3.27 3.07 0.288
Men 2.14 0.99 0.032 0.12 1.22 0.919 0.54 0.64 0.400
Heterosexual −1.51 0.93 0.105 −2.11 1.14 0.067 1.33 0.60 0.029
Age 0.51 0.23 0.025 0.72 0.28 0.011 0.30 0.15 0.040
# of Sexual Relations # of Relationships # of Friendships
Descriptives M SD Sk M SD Sk M SD Sk
1.32 2.82 4.51 0.27 0.48 1.46 0.85 1.65 4.60
Model Radj2 F p Radj2 F p Radj2 F p
0.03 2.91 0.036 0.01 1.37 0.253 0.10 7.18 <0.001
Coefficients b SE p b SE p b SE p
Intercept −0.90 2.23 0.688 −0.12 0.39 0.750 −0.22 1.26 0.863
Men 0.62 0.46 0.187 −0.14 0.08 0.082 0.70 0.26 0.008
Heterosexual 0.98 0.44 0.026 −0.06 0.08 0.411 0.81 0.25 0.001
Age 0.12 0.11 0.251 0.02 0.02 0.230 0.06 0.06 0.298

M = mean. SD = standard deviation. Sk = skewness. SE = standard error; # = number. Usage time, measured in months. Use frequency, measured as times/week. Men: dummy variable where women = 0 and men = 1. Heterosexual: dummy variable where sexual minority = 0 and heterosexual = 1. Age, measured in years. Bold values correspond to statistically significant coefficients (p < 0.05).