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. Author manuscript; available in PMC: 2018 May 1.
Published in final edited form as: Addiction. 2017 Feb 3;112(5):852–863. doi: 10.1111/add.13742

Table 4.

Results of Dual Process Analyses for Cigarette Use Regressed on Tobacco-related Memory Associations and Working Memory Capacity with Multiple Imputations

Male Female Model Fit

Estimate(SE) p Estimate(SE) p χ2 (df) p for χ2 RMSEA(95% CI) CFI
Cross-Sectional Analysis of Wave 1 Data
Past Year Cigarette Use 192.1(108) <0.0001 .045(.035–.055) 0.961
WAT of CIG 0.61(0.05) <0.001 0.52(0.04) <0.001
WMC −0.03(0.06) 0.32 0.12(0.06) 0.02
WAT X WMC −0.22(0.08) 0.004 0.05(0.06) 0.18

Prospective Analysis of Data from Wave 1 to Wave 2
Past Year Cigarette Use 292.6(132)1 <0.0001 .06(.047–.065) 0.920
WAT of CIG 0.04(0.06) 0.53 −0.04(0.06) 0.27
WMC −0.005(0.07) 0.94 −0.02(0.05) 0.32
WAS X WMC 0.007(0.08) 0.93 −0.07(0.07) 0.18

Prospective Analysis of Data from Wave 1 to Wave 3
Past Year Cigarette Use 183.8(120) 0.0002 .037(.026–.047) 0.968
WAT of CIG 0.06(0.06) 0.17 −0.06(0.06) 0.16
WMC −0.03(0.06) 0.33 −0.04(0.07) 0.26
WAT X WMC −0.09(0.08) 0.13 −0.04(0.08) 0.33

Covariates in the models: age, acculturation and ethnicity (Hispanic yes/no) and additional control of wave 1 outcome in prospective analysis.

Standardized parameter estimates and standard errors from multiple-group approach structural equation models are presented in this table.

WAT: Word Association Test; WMC: Working Memory Capacity; CIG: Cigarette Use. p values are 1-tailed.

1

Covariance between baseline cigarette use and other predictors were not included.