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. 2021 May 28;29(3):204–214. doi: 10.1177/10783903211017640

Table 6.

Hierarchical Linear Regression Predicting Loneliness.

Predictor B β t P 95.0% Confidence interval for B
Lower bound Upper bound
Step 1, ΔF(P) = 8.61 (<.001), ΔR2 = .026
 Constant 39.254 20.802 <.001 35.551 42.957
 Gender 0.593 0.056 1.826 .068 −0.044 1.231
 Chronic illness 1.049 0.061 2.016 .044 0.028 2.071
 Mental illness 5.982 0.108 3.555 <.001 2.680 9.284
 Internet use, hours/day 0.105 0.109 3.583 <.001 0.048 0.163
Step 2, ΔF(P) = 68.41 (<.001), ΔR2 = .275
 Constant 42.712 24.917 <.001 39.349 46.076
 Gender 0.028 0.003 0.099 .921 −0.522 0.578
 Chronic illness 1.131 0.066 2.547 .011 0.260 2.003
 Mental illness 4.479 0.081 3.116 .002 1.659 7.300
 Internet use hours/day 0.026 0.027 1.045 .296 −0.023 0.076
 Life satisfaction (SWLS) −0.155 −0.228 −7.905 <.001 −0.193 −0.116
 Anxiety (DASS) 0.046 0.075 1.823 .069 −0.003 0.095
 Depression (DASS) 0.142 0.308 6.796 .000 0.101 0.184
 Stress (DASS) 0.007 0.015 .300 .764 −0.039 0.053
 Risk of COVID-19 0.464 0.047 1.777 .076 −0.048 0.975
 Quarantined 14 days 0.120 0.011 0.427 .670 −0.432 0.672

Note. The model summary is reported. ΔF(p) = significance of change in F test for the R2, and ΔR2 = change in R2. SWLS = Satisfaction With Life Scale; DASS = Depression, Anxiety, and Stress Scale; Β = unstandardized coefficient; β = standardized coefficient; t = corresponding t test, and p = p value/significance level.