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Enjoying influence on others: Congruently high implicit and explicit power motives are related to teachers’ well-being

Motivation and Emotion. Bd. 40. H. 1. Springer Nature 2015 S. 69 - 81

Erscheinungsjahr: 2015

Publikationstyp: Zeitschriftenaufsatz

Sprache: Englisch

Doi/URN: 10.1007/s11031-015-9516-8

Volltext über DOI/URN

Inhaltszusammenfassung


The present study examined the associations of implicit and explicit power motives with the well-being of teachers. Teachers (N = 170) participated in an online assessment, which included measures for implicit motives (assessed by the operant motive test), explicit motives, and well-being. We expected congruently high power motives to be linked with the highest levels of well-being. We tested this assumption using polynomial regressions with response surface analysis. Results were consistent ...The present study examined the associations of implicit and explicit power motives with the well-being of teachers. Teachers (N = 170) participated in an online assessment, which included measures for implicit motives (assessed by the operant motive test), explicit motives, and well-being. We expected congruently high power motives to be linked with the highest levels of well-being. We tested this assumption using polynomial regressions with response surface analysis. Results were consistent with our hypothesis. Additionally, there was an effect of directional motive incongruence (a combination of a low implicit and a high explicit power motive was associated with higher well-being than a high implicit/low explicit combination), which did not hold when controlling for emotional stability. Results for achievement were comparable, but weaker, and there was no effect for motive incongruence. No significant associations were found for motive (in)congruence in the affiliation domain. Our findings underline the importance of the power motive in understanding individual differences in teachers’ well-being.» weiterlesen» einklappen

  • Implicit motives, Power motive, Operant motive test (OMT), Polynomial regression analysis, Person-job-fit

Autoren


Wagner, Lisa (Autor)
Hank, Petra (Autor)

Klassifikation


DDC Sachgruppe:
Psychologie

Verbundene Forschungsprojekte



Verknüpfte Personen


Nicola Baumann

Beteiligte Einrichtungen