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Other literature type . 2025
License: CC BY
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Other ORP type . 2025
License: CC BY
Data sources: Datacite
ZENODO
Other ORP type . 2025
License: CC BY
Data sources: Datacite
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The Motives for Prostitution Consumption Scale (MCPS)

Authors: Velikova Dimitrova, Mariela; Terol Cantero, María del Carmen; Vázquez Rodríguez, Carolina; Martín-Aragón Gelabert, Maite;

The Motives for Prostitution Consumption Scale (MCPS)

Abstract

This questionnaire was created for the following context of use: Academic research in the field of social psychology, gender studies, and attitudes toward prostitution and paid sex. The target population is young people aged 18 to 29 years from the general population. The Motives for Prostitution Consumption Scale (MCPS) consists of 20 statements about prostitution and about women in prostitution, using a 6-point Likert-type scale ranging from: 1 = Strongly disagree; 2 = Disagree; 3 = Somewhat disagree; 4 = Somewhat agree; 5 = Agree; 6 = Strongly agree. The scale is composed of two motivational factors identified through exploratory factor analysis, where higher scores indicate a greater degree of agreement with that motivational dimension.

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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