Alexander
Alexander

@datepsych

17 Tweets 3 reads Jan 12, 2023
New paper on sex differences in jealousy in a non-monogamous and monogamous sample. ๐Ÿงต
"Sex differences in jealousy are a well-established research finding that suggests men (relative to women) will find the sexual components of an infidelity more distressing, whereas women (relative to men) will find the emotional components of an infidelity more distressing."
This association held for both the poly and monogamous samples - at the same magnitude as well.
Effect was small for sex differences in jealousy however, partial eta of .058.
The consensual non-monogamous sample did report lower levels of jealousy overall.
Difference is large too.
A few Big Five personality differences too: the consensual non-monogamous sample was higher in Neuroticism.
The non-monogamous sample also scored higher on all the Narcissism and Psychopathy facets of the Dark Triad.
For the partial eta-squared effect sizes, the convention would be a small effect for Narcissism and a large effect for Psychopathy. You can look at the mean differences for the Psychopathy scores and get an idea of how large it may be.
Sociosexuality higher in the non-monogamous sample as well. Effect also large. Mean difference score is about twice as high.
No difference on the Mate Value scale used. Also no effect of personality traits measured on jealousy in the samples.
"These data suggest that Buss, Edlund, Shackelford, and colleagues are likely correct in their view that the sex difference in jealousy is an evolutionarily influenced phenomena that ties into the different reproductive challenges our ancestors faced."
p = .049 for the Neuroticism relationship, so worth being skeptical of.
Similarly the "marginally significant" effects = not significant.
Many researchers discourage reporting anything as "marginally significant," as it actually means p > .05
Narcissism similarly here was p = .04
No mention of corrections for multiple comparisons that I can see, so another reason to discount the "marginal" effects and the Neuroticism effect at p = 0.49 and Narcissism at .04
Corrections for multiple comparisons are needed when you do multiple tests or compare multiple relationships within an ANOVA.
Think about it this way - every test you do has a Type 1 error rate of 5%.
Doing multiple tests inflates your error rate that some will be significant.
You'd use something like a Bonferoni correction for this, which basically just halves your p-value cutoff for every additional contrast you do.
So if you did two contrasts, instead of a p-value of .05 you'd need it to be .025. For three, .0125, etc.
The p-values that are < .001 would probably survive the corrections though.
Leaving Psychopathy in the Dark Triad, sociosexuality, and the difference in jealousy between groups.

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