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. 2020 Nov 28;23(4):748–755. doi: 10.1093/ntr/ntaa049

Table 2.

Hierarchical Regression Analysis Predicting Latent Factors of Cigarette Demand

Persistence Amplitude
ΔR2 b Std. Err. ΔR2 b Std. Err.
Block 1 .073 ---
 Sex .253* .120 --- ---
 Age .005 .006 --- ---
 Education −.023 .020 --- ---
 Employ. = Full-Time .029 .160 --- ---
 Employ. = Part-Time .260 .156 --- ---
 Race = African Am. −.344* .138 --- ---
 Race = Asian −.135 .313 --- ---
 Race = Latino/a −.440* .205 --- ---
 Race = Native Am. .086 .450 --- ---
 Race = Multi-Racial −.095 .160 --- ---
 Income .080* .034 --- ---
Block 2 .070 .328
 FTND .074* .033 .060* .024
 CPSD .020* .008 .065* .007
Block 3 --- --- --- .013
 ADS --- --- .010 .006
 DPDD --- --- .017 .011

ADS = Alcohol Dependence Scale; CPSD = Cigarettes per Smoking Day; DPDD = Drinks per Drinking Day; Employ. = Employment; FTND = Fagerström Test for Nicotine Dependence. R2 change, unstandardized regression coefficients, and standard errors presented for each block. Results presented are from reduced models excluding blocks that were not significant (“---” indicates nonsignificant block where block coefficients were not considered further).

*Significance at p ≤ .05.