Major Effect Models of Social Support and Its Statistical Methods in Korean Nursing Research.
10.4040/jkan.2000.30.6.1503
- Author:
Eun Hyun LEE
1
;
Jin Sun KIM
Author Information
1. Division of Nursing Science, Ajou University, Korea.
- Publication Type:Original Article
- Keywords:
Social support;
Main effect;
Moderating effect;
Mediating effect;
Statistical analysis
- MeSH:
Adult;
Humans;
Korea;
Mental Health;
Negotiating;
Nursing Research*;
Nursing*;
Pediatric Nursing;
Societies, Nursing;
Women's Health
- From:
Journal of Korean Academy of Nursing
2000;30(6):1503-1520
- CountryRepublic of Korea
- Language:Korean
-
Abstract:
The purpose of the present study is 1) to explain major effect models (main, moderating, and mediating) of social support and statistical methods for testing the effect models and 2) to analyze and evaluate the consistency in the use of the effect models and its statistical methods in Korean nursing studies. A total of 57 studies were selected from Journal of Korean Academy of Nursing, Journal of Korean Academic Society of Adult Nursing, Journal of Korean Women's Health Nursing Academic Society, Journal of Fundamentals of Nursing, Journal of Korean Community Nursing, Journal of Korean Psychiatric and Mental Health Nursing Academic Society, and Journal of Korean Pediatric Nursing Academic Society published in the year of 1990-1999. In results, most studies on social support performed in Korea Nursing Society were about a main effect model. There are few studies on moderating or mediating model of social support. Thus, it was difficult to find research findings how, why, under what conditions social support impacted on health outcomes. Most studies on the moderating or mediating effect model of social support used statistical methods for testing main effect model rather than for testing moderating or mediating effect model. That is, there are inconsistency between effect models of social support and its statistical methods in Korean nursing researches. Therefore, it is recommended to perform studies on moderating or mediating effect model and use appropriate statistical methods.
