Table 1. Psychometric assessment of complete sample.
| Variable | N assessed (younger/older adults) |
Mean (SD) younger adults | Mean (SD) older adults | Bayes Factor* |
|---|---|---|---|---|
| Working memory | 62/61 | 18.42 (3.80) | 15.95 (4.22) | 31.88 |
| Verbal intelligence | 60/60 | 69.07% (11.82) | 81.94% (5.71) | >100 |
| Processing speed (reaction times) |
61/60 | 2032.17 s (315.87) | 3319.93 s (516.42) | >100 |
| Processing speed (accuracy) | 61/60 | 94.10% (6.02) | 94.84% (5.48) | 0.24 |
| Need for cognition | 61/59 | 82.18 (13.25) | 81.44 (13.24) | 0.20 |
*Bayes Factors quantify the evidence in favor of one hypothesis (here: non-equal means) as opposed to a competing hypothesis (here: equal means). Commonly, Bayes Factors between 3 and 10 are considered as representing moderate evidence for the hypothesis and Bayes Factor above 10 as representing strong evidence for the hypothesis. Conversely, Bayes Factors between 1/3 and 1/10 represent moderate evidence for the competing hypothesis and Bayes Factors below 1/10 represent strong evidence for the competing hypothesis (Lee and Wagenmakers, 2013). We calculated Bayes Factors with the BayesFactors package (Morey et al., 2015).