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The ideal love object: Structural and family sources
1Department of Sociology, St. John's University, Jamaica, New York.
This study explored college students' ideal love object preferences, identifying common and sex-specific factors. Key predictors of these preferences included sex, religion, and parental relationship happiness and education.
Area of Science:
- Psychology
- Sociology
- Human Relationships
Background:
- Understanding the characteristics of an ideal love object is crucial in relationship formation.
- Previous research has explored various factors influencing mate selection, but a comprehensive analysis of predictors for ideal love object characteristics is limited.
Purpose of the Study:
- To identify common and sex-specific factors influencing college students' preferences for their ideal love objects.
- To examine the predictive power of demographic, familial, and religious factors on these preferences.
Main Methods:
- Survey administered to 227 college students to gather preferences on ideal love object characteristics.
- Factor analysis conducted separately for males and females to identify underlying preference structures.
- Regression analysis employed to assess the contribution of predictor variables (sex, religion, parental factors) to the variance in ideal love object characteristics.
Main Results:
- Factor analysis revealed both shared and gender-specific factors in ideal love object preferences.
- Approximately one-third of the 58 characteristics studied showed significant, albeit modest, variance explained by the predictor variables.
- The most influential predictors identified were sex, religious affiliation, mother's marital happiness, and father's educational attainment.
Conclusions:
- Individual preferences for ideal love objects are shaped by a combination of common and sex-specific factors.
- Demographic and familial variables, particularly sex, religion, and parental relationship quality and education, play a significant role in defining these preferences.
- Further research can explore these predictors in diverse populations and investigate their interplay in relationship satisfaction.
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