Maternal Emotion Socialization Data from Chinese, Indian, and European American Families
by Meingold Hiu-ming Chan·Updated 1mo ago
246.3 KB1files
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Description
Table 1_Maternal emotion socialization in Chinese, Indian, and European American families is a 246.3 KB document dataset by Meingold Hiu-ming Chan, last updated in April 2026. It integrates two cross-cultural studies with 193 participants (mean age 3.37 years) from Hong Kong Chinese, Beijing Chinese, Indian, and European American groups. The data examines cultural variations in maternal emotion socialization practices and the role of socialization goals.
Use Cases
Analyzing cross-cultural differences in maternal emotion socialization practices based on the described cultural groups.
Modeling the relationship between emotion-related socialization goals and specific ES practices like distress or training responses.
Investigating within-culture variations in emotion socialization, such as differences between Hong Kong and Beijing Chinese mothers.
Strengths
Data integrates two cross-cultural studies with a total of 193 participants.
Includes four distinct cultural groups for comparative analysis: Hong Kong Chinese, Beijing Chinese, Indian, and European American.
Explicitly examines the culturally embedded factor of emotion-related socialization goals.
Limitations
Column-level documentation is absent; field semantics must be inferred after download.
Row count is unknown, which may limit suitability assessment.
The dataset is a 246.3 KB DOC file, indicating a limited scope and likely summary or table format rather than raw observational data.
Provenance
Source
Meingold Hiu-ming Chan via figshare.
Collection Method
Integrated from two independently conducted cross-cultural studies.
Time Range
null
Freshness
Last updated 2026-04-23 04:16:43; freshness should be verified.
Geography
Data covers families from Hong Kong, Beijing, India, and the United States (European American).
Data is provided as a DOC file, which may require conversion or manual extraction for analysis.