Table 1.
Younger | Older | p Value | d | |
---|---|---|---|---|
M (SD) | M (SD) | |||
Age (years) | 19.83 (2.01) | 77.92 (7.71) | <.001 | 10.53 |
Gender | 15 Female | 15 Female | ||
Education (years) | 12.42 (1.25) | 15.50 (2.32) | <.001 | 1.69 |
Frequency in a relationship or married (%) | 2 (8.30%) | 10 (41.70%) | .01 | 2.10 |
Income level (number of participants, %) | ||||
$0–60,000 | 23 (95.80%) | 11 (45.80%) | <.001 | 3.77 |
$60,001 and greater | 1 (4.20 %) | 11 (45.80%) | ||
Digit Comparison Total | 88.08 (16.31) | 58.42 (10.64) | <.001 | 2.20 |
Shipley Vocabulary | 31.71 (5.13) | 36.33 (2.91) | <.001 | 1.13 |
MMSE | NA | 29.00 (1.10) | NA | NA |
Notes. Independent t tests were conducted to compare younger and older adults on these variables, and Pearson chi-square analyses were used when variables were categorical (e.g., frequencies of relationship status, income level). For the “In a relationship or married variable”: those who were not in a relationship or married were either single, widowed, or divorced. d = Cohen’s standard effect size; MMSE = Mini-Mental State Examination; SD = standard deviation.