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. 2025 Mar 4;51(Suppl 2):S64–S73. doi: 10.1093/schbul/sbad110

Table 2.

Hierarchical Linear Regression Predicting the Magnitude of the Date/Delay Effect

Variable B 95% CI for B SE B
β
R²
ΔR²
LL UL
Step 1 0.010 0.010
 Constant 0.270*** 0.135 0.404 0.069 —
 Age 0.004* 0.000 0.008 0.002 .07
 Education (low) −0.067 −0.234 0.100 0.085 −.03
 Education (high) −0.002 −0.103 0.099 0.052 .00
 Alcohol (AUDIT) −0.009 −0.018 0.001 0.005 −.06
 Tobacco (ASSIST) 0.008 −0.001 0.018 0.005 .06
Step 2 0.019 0.010*
 Constant 0.323 0.145 0.501 0.091 —
 Age 0.004 −0.001 0.008 0.002 .06
 Education (low) −0.052 −0.220 0.116 0.086 −.02
 Education (high) 0.007 −0.095 0.109 0.052 .00
 Alcohol (AUDIT) −0.007 −0.017 0.003 0.005 -.05
 Tobacco (ASSIST) 0.008 −0.002 0.018 0.005 .06
 Unusual Experiences 0.024* 0.004 0.044 0.010 .09
 Cognitive Disorganization −0.007 −0.025 0.011 0.009 −.03
 Introvertive Anhedonia −0.019 −0.045 0.007 0.013 −.05
 Impulsive Nonconformity −0.021 −0.048 0.007 0.014 −.06

Note. Education was entered as two dummy variables (reference category: medium). CI = confidence interval; LL = lower limit; UL = upper limit. N = 990.

*P < .05, ***P < .001