J Korean Acad Psychiatr Ment Health Nurs Search

CLOSE


J Korean Acad Psychiatr Ment Health Nurs > Volume 3(2); 1994 > Article
Journal of Korean Academy of psychiatric and Mental Health Nursing 1994;3(2):47-53.
DOI: https://doi.org/10.12934/jkpmhn.1994.3.2.47    Published online December 31, 1994.
The Application of the Theory of Reasoned Action to Nursing
KuemSun Han
University of Korea, College of Medicine, Department of Nursing
합리적 행동이론(Theory of Reasoned Action) 의 간호학적 적용
한금선
고려대학교 의과대학 간호학과 강사
Abstract
The Purpose of this article is to describe application of the Theory of Reasoned Action (TRA) to Nursing. Modern expectancy theories have evolved from two areas of research ; social-psychological investigations of the relationships between attitudes, beliefs, and behaviors and behavioral decision the ory. TRA derived from social psychology, predicts a person*s intention to perform a behavior in a well defined setting. The Theory can be used to explain virtually any behavior over which an individual has volitional control. The model assumes that behavior and that all other factors that influence behavior are mediated through intention. The measurement of intention must closely correspond to the measurement of behavior in terms of the action, target, context, and time in order to accurately predict behavior. The strength of person’s intention to perform a specific behavior is a function of two factors : attitude toward the behavior and the influence of the social environment or general subjective norms on the behavior. Attitude toward the behavior is determined by an individuaFs belief and an evaluation of the outcome. Social norm is determined by a person’s normative belief about what salient others think he or she should do and by the individual’s motivation to comply with those people’s wishes. • Application researches of the Theory of Reasoned Action : 1. Operationally Defining the Theory of Reasoned Action to Predict Condom Use ; The purpose of this study is operationally define to various terms of TRA, The subjects were patients in a sexually transmitted disease (STD) clinic. The use of condoms is instrumental in primary prevention of STDs. Since the risk for contracting STDs depends almost exclusively on an individual’s behavioral choices, understaning the determinants of sexual decision making has important implications for the design of health education interventions. Salient outcomes used to develop the study questionnaire were identified from interviews and an open-ended questionnaire the study questionnaire were identified from interviews and an open-ended questionnaire with representative sample of 40 STD clinic patients. The modefs variables, attitude toward the behavior and subjective norms were measured on seven-point bipolar rating scales and appropriate wording modifications were made for male and female patients. In this study, both attitude toward condoms and general subject norm significantly predicted intention to use condoms for both steady and new or in frequent partner. 2. Predicting Breast Self-Examination Using the Theory of Reasoned Action ; The personal and normative influences on breast self-examination (BSE) behavior in older women were examined using the TRA. Direct and indirect measures of attitude and social norm were used to predict intention to perform BSE and BSE frequency. Both the indirect and direct measures of attitude and social norm explained a significant amount of the variance in intention and BSE frequency. In conclusion, TRA is useful in the prediction of health behavior, and health educatior and health providers to develop intervevtions and strategies for change that will be maximally effective.


ABOUT
ARTICLE CATEGORY

Browse all articles >

BROWSE ARTICLES
FOR CONTRIBUTORS
KPMHN
Editorial Office
Editorial Office 1 Baekseokdaehak-ro, Dongnam-gu, Cheonan-si, Chungcheongnam-do, 31065, Republic of Korea
E-mail: kpmhn0@gmail.com (Editorial office), yeonnie@korea.ac.kr (Managing Editor)                

Copyright © 2025 by The Korean Academy of Psychiatric and Mental Health Nursing.

Developed in M2PI

Close layer
prev next