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Configural analysis of the drinking man: fuzzy-set qualitative comparative analyses
Sereikhuoch Eng1, Arch G Woodside
1University of Rhode Island, College of Business Administration, Department of Marketing, Ballentine Hall, Kingston, RI 02881, United States. sereikhuoch_eng@my.uri.edu
This study identified multiple causal recipes linked to heavy drinking behaviors using fuzzy-set qualitative comparative analysis (fsQCA). The fsQCA method effectively pinpointed distinct groups associated with heavy alcohol consumption in national survey data.
Area of Science:
- Social Sciences
- Public Health
- Quantitative Psychology
Background:
- Heavy drinking is a significant public health concern with complex causal pathways.
- Understanding the configurations of factors leading to heavy drinking is crucial for targeted interventions.
Purpose of the Study:
- To identify and analyze the various combinations of antecedent conditions associated with heavy drinking.
- To apply fuzzy-set qualitative comparative analysis (fsQCA) to uncover causal recipes for heavy drinking.
Main Methods:
- Utilized national survey data from the United States.
- Employed fuzzy-set qualitative comparative analysis (fsQCA) to examine configurations of causal antecedents.
- Focused on intermediate solutions derived from fsQCA.
Main Results:
- fsQCA identified multiple distinct configurations (causal recipes) associated with heavy drinking.
- The analyses demonstrated high consistency in identifying heavy-drinking groups.
- The coverage of these configurations, while modest, provided meaningful insights into group identification.
Conclusions:
- Fuzzy-set qualitative comparative analysis (fsQCA) is a valuable method for uncovering complex causal relationships in social science research.
- The identified causal recipes offer a nuanced understanding of the pathways leading to heavy drinking.
- These findings can inform the development of more precise and effective prevention and intervention strategies for heavy alcohol consumption.
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