Table 5.
Variation in analysis | Model 1 | Model 2 | Model 3 | |||
---|---|---|---|---|---|---|
β | p | β | p | β | p | |
Original results (for comparison) | − .10 | < .001 | − .06 | .007 | − .06 | .028 |
Alternative data pre-processing choices | ||||||
Gratitude reflected and log-transformed | .10a | < .001 | .06a | .011 | .05a | .033 |
Triglyceride level log-transformed (after winsorization at 3 SD) | − .10 | < .001 | − .06 | .013 | − .05 | .058 |
Winsorization (3 SD) applied to all variables | − .11 | < .001 | − .07 | .004 | − .06 | .017 |
Winsorization (4 SD) applied to all variables | − .10 | < .001 | − .07 | .004 | − .07 | .013 |
Sub-sample analyses | ||||||
Only participants with complete data (i.e., listwise deletion; n = 1704) | − .11 | < .001 | − .07 | .003 | − .07 | .010 |
Only participants not taking antihyperlipidemic medication (n = 1266) | − .11 | < .001 | − .07 | .022 | − .05 | .089 |
Only MIDUS 2 data (n = 1054) | − .09 | .002 | − .05 | .124 | − .05 | .175 |
Only MIDUS Refresher data (n = 746) | − .12 | .002 | − .08 | .022 | − .06 | .130 |
Adjustment for multiple comparisonsb | ||||||
Adjustment with Hommel procedure | − .10 | < .001 | − .06 | .050 | − .06 | .168 |
Adjustment with Bonferroni procedure | − .10 | < .001 | − .06 | .064 | − .06 | .252 |
Adjustment with Benjamini–Hochberg procedure | − .10 | < .001 | − .06 | .021 | − .06 | .063 |
Bolded p-values indicate statistical significance at the .05 level.
aCoefficients were opposite in sign compared to the rest of the results because gratitude was reflected (i.e., reversed).
bp-value adjustments were conducted taking into account all three dependent variables (triglycerides, LDL, HDL) across the first three models (i.e., a total of nine p-values).