Höhere Bildung und ein höheres Einkommen erhöhen das romantische Interesse: Daten von 1,8 Millionen Online-Datern aus 24 Ländern

Eine interessante Studie, die mal wieder in die gleich Kerbe haut, die wir hier schon häufiger hattem:

How humans choose their mates is a central feature of adult life and an area of considerable disagreement among relationship researchers. However, few studies have examined mate choice (instead of mate preferences) around the world, and fewer still have considered data from online dating services. Using data from more than 1.8 million online daters from 24 countries, we examined the role of sex and resource-acquisition ability (as indicated by level of education and income) in mate choice using multilevel modeling. We then attempted to understand country-level variance by examining factors such as gender equality and the operational sex ratio. In every nation, a person’s resource-acquisition ability was positively associated with the amount of attention they received from other site members. There was a marked sex difference in this effect; resource-acquisition ability improved the attention received by men almost 2.5 times that of women. This sex difference was in every country, admittedly with some variance between nations. Several country-level traits moderated the effects of resource-acquisition ability, and in the case of unemployment this moderating role differed by sex. Overall, country-level effects were more consistent with evolutionary explanations than sociocultural ones. The results suggest a robust effect of resource-acquisition ability on real-life mate choice that transcends international boundaries and is reliably stronger for men than women. Cross-cultural variance in the role of resource-acquisition ability appears sensitive to local competition and gender equality at the country level.

Quelle: Being More Educated and Earning More Increases Romantic Interest: Data from 1.8 M Online Daters from 24 Nations (volltext)

Zuerst zu den Parametern:

Resource-acquisition ability was measured by combining (r = .32; M = 7.75, SD = 2.48) the member’s income (1 = Very low; 7 = Very high [based on local currency]) with their level of education (1 = No High School Degree; 7 = Doctorate [e.g., MD, PhD, JD]) consistent with work suggesting education and intelligence may operate as resource-acquisition ability markers
(Fletcher et al., 1999; Jonason & March, 2021).

Die Fähigkeit Ressourcen aquieren zu können wurde also berechnet aus dem Einkommen und dem Bildungsgrad. Beim Einkommen ist es relativ offensichtlich, beim Bildungsgrad hat man natürlich das Problem, dass man einen Handwerkermeister schlecht in das System bekommt bzw eine Frau, die zwar einen Doktor in vergleichender Literaturanalyse oder vergleichbaren hat aber diesen leider nicht kommerzialisieren kann.

Aus der Studie:

und zur Erklärung aus der Studie:

To better understand this interaction, we used the model to generate estimated marginal means at varying levels of resource-acquisition ability (which controlled for premium account status). Men with a resource-acquisition ability 1 SD greater than the mean received 255% more IOI (M = 15.48, SE = 0.84) than those 1 SD less than the mean (M = 4.36, SE = 0.24; p < .001). In contrast, women with a resourceacquisition ability 1 SD greater than the mean received 103% more IOI (M = 36.79, SE = 4.06) than those 1 SD less than the mean (M = 18.11, SE = 2.00; p < .001). Interestingly, the large sex difference in IOI received regardless of resource-acquisition ability (MWomen = 25.81, SE = 2.85 vs. MMen = 8.21, SE = 0.45; p < .001) causes a visual illusion; greater resource-acquisition ability appears to increase attention for men and women in a similar manner, though upon closer examination the rate of increase for men far exceeds that for women (Fig. 2). The marginal means also allowed us to determine to what extent resource-acquisition ability helped to compensate for the large sex difference. Men who had +1 SD in resource-acquisition ability received a similar number of IOI to women who were –1 SD in resourceacquisition ability (p = .79 following a Bonferroni correction)

Ich hätte ja gerne die reinen Daten für Einkommen und eine nähere Auswertung der Bildung.

Was ich ganz interessant finde:

  • Das widerlegt erst einmal die häufige Angabe, dass Männer Angst vor erfolgreichen Frauen haben: Frauen mit guter Bildung und einem guten Einkommen haben anscheinend mehr Likes als Frauen ohne. Sie scheinen demnach als Partner interessanter zu sein.
  • Bei Männern ist wie zu erwarten der Effekt deutlich größer, 2.5fach

Eine weitere Grafik:

Und aus dem Text dazu:

We found that the effect of resource-acquisition ability was reduced in countries that were richer (GNI) and had more women of reproductive age than men (OSR), which was slightly enlarged in countries with greater gender equality (GDI). The effect of sex was not moderated by any of these country-level traits. The effect of resource-acquisition ability was also moderated by the proportion of the country not in education, employment, or training (NEET) but this differed for men and women. Resource-acquisition ability enhanced the attention of men’s more than women’s profiles, but this effect was exaggerated in countries with low unemployment. Note that our confidence in this effect was reduced at levels above 15% because only three countries in the sample (Mexico, South Africa, and Chile) had a NEET percentage above this (Fig. 3).

Aus der Diskussion:

Using 1.8 M online dating profiles, we found that resource-acquisition ability and sex had a small, but robust influence on the amount of interest a dating profile received. Specifically, being a woman or having higher resource-acquisition ability led to increased numbers of messages, “winks,” and “likes” from other members (i.e., IOI). These patterns showed considerable cross-cultural consistency: resource-acquisition ability generally increased IOI in all countries, and, except for the USA, profiles of women generally received more IOI than those of men. Even in the USA, this sex difference reversed only at high levels of resource-acquisition ability (more than 2 SD above the mean). There was some variability between nations in the enhancing effect of resource-acquisition ability and its differential effect on the sexes, but this was simply a matter of degree. That is, resource-acquisition ability enhanced dating profile attention broadly, and for men more than women specifically, in all countries, though some more than others. These national sex differences accounted for only a slither of the total variance in attention received among the population. Nonetheless, we were still able to associate this variance with some country-level traits: gross national income, sex ratio, unemployment, and gender development.

12 Gedanken zu “Höhere Bildung und ein höheres Einkommen erhöhen das romantische Interesse: Daten von 1,8 Millionen Online-Datern aus 24 Ländern

    • Weibliche Sexualität ist nicht orgasmusfixiert. Daher kann frau diese als Mittel zu einem anderen Zweck einsetzen. Aber: Frauen können nix dafür, die sind einfach so verdrahtet. So wie (Hetero-)Männer von weiblicher Körperlichkeit getriggert werden.

        • Zumindest nervig wenn man zuviel in der toxischen Filterblase der Feministas herumstochert.

          Den allermeisten Männern stört die Zuweisung allerdings nicht. Ein böser Mann hat mehr Sex als ein lieber Mann 😀

          Oder anders (weiblich) formuliert: Wenn mann die Wahl hat, von frau entweder gefürchtet oder verachtet zu werden, welche Option fühlt sich besser an?

      • Widerspreche ich aus Erfahrung, weil wenn sie Orgasmen haben, ist das heftiger als für Männer.
        Kann ich aus zwei Fällen bestätigen. Die eine ist mit dem Zug durch die halbe Republik, um ordentlich geleckt zu werden.

  1. Es wäre interessant, die Verteilung der Resource-acquisition ability zu kennen. Wenn ich erstmal billig von einer Gleichverteilung ausgehe, hieße das für Deutschland nämlich: Bereits durchschnittliche Frauen erfreuen sich so vieler „indicators of interest“ wie auf männlicher Seite nur absolute Topmänner. Und selbst die ärmsten, ungebildetsten Frauen erfreuen sich so vieler „indicators of interest“ wie 2/3 aller Männer nicht.
    Ist das echt so krass?

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