Data · dataset · 2001
The Study of Codependence
Listed in Harvard Dataverse
This research intends to examine adult children from normal families and dysfunctional families concerning their differences in codependence, and other personal factors, such as physical and mental health index, self-concept, shame feeling, and family relationships.
Description
A total of 1047 samples are collected. The research concludes: (1) adult children from dysfunctional families have more physical and psychological problems than those who from normal families.
Moreover, adult children from dysfunctional families have lower self-concept. They also show poor relationship with their parents. (2) Families with two or more problems tend to have higher degree of codependence, physical disease, and shameness than families with only one problem.
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Besides, families with two more problems show poor relationship with their parents. (3) Parents of the dysfunctional families have lower degree of educational achievement and martial relationships. Their father’s occupational status is lower too.
This research also conducts an in-depth interview for 15 students. Important findings are as follows: Firstly, fathers have the most behavioral problems, especially those of alcoholic and gambling. Secondly, students keep a good relationship with non-behavioral problem parents.
Third, students interviewed attribute their parent’s problems to be personal and environmental. Fourthly, students interviewed play roles of caretaker, saviors, hero, black sheep, and black faces. And finally, there is a significant interaction effect between family event and family system.
Links
Where it is published
- Dataverse dataset page dataverse.harvard.edu/dataset.xhtml?persistentId=doi%3A10.6141%2FTW-SRDA-E88052-1 ↗
landing page · from Harvard Dataverse
- DOI doi.org/10.6141/tw-srda-e88052-1 ↗
DOI / persistent id · from Harvard Dataverse
Catalogue records · 1
- Dataverse API dataverse.harvard.edu/api/datasets/:persistentId/?persistentId=doi%3A10.6141%2FTW-SR… ↗
metadata API · from Harvard Dataverse
Topics
- Inferred from text
- Disease 75%
Provenance · 1 source records, 6 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Harvard Dataverse | doi:10.6141/TW-SRDA-E88052-1 | 13 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[disease].local:disease:disease | enrichment · Harvard Dataverse | keyword-concept-rules@1.0.0 | title+description (75%) |
| created_date | source · Harvard Dataverse | connector:dataverse@1.0.0 | |
| description | source · Harvard Dataverse | connector:dataverse@1.0.0 | /description |
| publication_date | source · Harvard Dataverse | connector:dataverse@1.0.0 | |
| title | source · Harvard Dataverse | connector:dataverse@1.0.0 | /name |
| updated_date | source · Harvard Dataverse | connector:dataverse@1.0.0 |