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. Author manuscript; available in PMC: 2015 Jan 1.
Published in final edited form as: Exp Aging Res. 2014;40(2):140–163. doi: 10.1080/0361073X.2014.882204

Table 3.

Effects of skipping behavior on memory performance: Results from ACTIVE (N=1,401)

Memory-trained participants who ever skipped spaces* on AVLT (n=174)
Memory-trained never-skippers (n=529)
Memory-trained ever-skippers vs never-skippers
Control group (n=698)
Estimate (SE) Cohen's d effect size (vs control) P value (vs control) Estimate (SE) Cohen's d effect size (vs control) P value (vs control) Cohen's d effect size P value Estimate (SE)
Means
 Baseline 53.7 (0.7) 2.1 <0.001 49.3 (0.4) 0.3 0.322 2.4 <0.001 49.8 (0.4)
 Immediate pre-post change 3.6 (0.5) 2.0 <0.001 2.0 (0.3) 1.1 <0.001 0.8 0.007 Fixed at 0
 Post-training pace of change −1.0 (0.1) 0.4 0.415 −1.0 (0.1) 0.5 0.142 0.1 0.869 −0.9 (0.1)
Variances
 Initial level 82.4 (3.3) -- 82.4 (3.3) -- -- 82.4 (3.3)
 Post-training pace of change 0.4 (0.1) -- 0.4 (0.1) -- -- 0.4 (0.1)
Model fit statistics
 RMSEA 0.048
 CFI 0.987

Legend. Results of a latent growth model of memory performance stratified by AVLT skipping behavior and training status. The memory composite outcome was standardized to the baseline measurement and standardized to a T scale (mean 50, standard deviation 10).

*

In this study, skipping spaces on AVLT response forms are used as a surrogate for use of the method of loci; see Methods.

SE: standard error