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. 2018 Apr 24;2(1):igy009. doi: 10.1093/geroni/igy009

Table 6.

Regression Analysis Predicting Days of Poker Gameplay With Demographic, Personality, and Cognitive Variables, Controlling for System Use

Days of Poker play
Model Unstandardized SE Standardized t p
1 (Intercept) 37.639 39.345 0.957 .341
Age −0.440 0.369 −0.107 −1.195 .235
Gender 1.986 3.035 0.059 0.654 .514
Agreeableness −0.117 1.358 −0.008 −0.086 .931
Conscientiousness −0.801 1.102 −0.064 −0.727 .469
Emotional Stability 3.103 1.021 0.301 3.038 .003
Extraversion 1.360 0.896 0.134 1.518 .132
Openness to Experience 1.037 0.989 0.096 1.048 .297
Animal Fluency 0.561 0.532 0.098 1.054 .294
Digit Symbol Substitution −0.236 0.246 −0.110 −0.959 .340
Trails A 0.221 0.112 0.221 1.985 .049
Trails B 0.015 0.033 0.054 0.459 .647
Shipley Vocabulary −0.115 0.442 −0.028 −0.259 .796
Total System Use 0.084 0.022 0.330 3.761 <.001

Note: Gender was dummy coded with female as −1 and male as 1. Trails A and Digit Symbol Substitution measured processing speed; Trails B measured executive control; Animal Fluency measured verbal fluency; Shipley Vocabulary corresponded to the Shipley Institute of Living Scale which measured crystallized intelligence. Trails A and B were timed measures, meaning that lower scores corresponded to better (faster) performance. For all other cognitive measures, higher scores indicated better performance. Personality variables (Agreeableness, Conscientiousness, Emotional Stability, Extraversion, Openness to Experience), Total System Use, and Age (years) were coded such that higher values corresponded to greater quantity. Bolding indicates statistical significance (P < .05).