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Представления об аморальном в свете теории моральных оснований: социально-психологическое и лингвокогнитивное исследование

Представления об аморальном в свете теории моральных оснований: социально-психологическое и лингвокогнитивное исследование

Abstract

Дан анализ представлений об аморальном у традиционалистов, высоко ценящих моральные нормы уважения, лояльности, чистоты, и прогрессивистов, выше оценивающих нормы заботы и справедливости. Данные, полученные с помощью опросника MFQ и анкеты, выявляющей представления об аморальном, были подвергнуты полевому анализу в информационной системе «Семограф». Частотный анализ сформированных полей и семантические графы, построенные с помощью метода графосемантического моделирования, позволили подтвердить основанные на теории моральных оснований гипотезы.

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Keywords

прогрессивизм, аморальность, теория моральных оснований, семантический анализ, эксперимент, графосемантическое моделирование, мораль, традиционализм

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green