Predicting Stress in Intensive Care Nurses

The problem of this study was to determine whether or not the variables locus of control, perceived anxiety, anxiety proneness, nursing experience and intensive care experience were better than chance predictors of job stress in intensive care nurses. The study was conducted using 200 volunteer nurs...

Full description

Bibliographic Details
Main Author: Freeman, Stephen J. (Stephen Joseph)
Other Authors: Medler, Byron
Format: Others
Language:English
Published: North Texas State University 1984
Subjects:
Online Access:https://digital.library.unt.edu/ark:/67531/metadc330644/
id ndltd-unt.edu-info-ark-67531-metadc330644
record_format oai_dc
spelling ndltd-unt.edu-info-ark-67531-metadc3306442020-07-15T07:09:31Z Predicting Stress in Intensive Care Nurses Freeman, Stephen J. (Stephen Joseph) job stress intensive care nurses Nurses -- Job stress. Nurses -- Psychology. Prediction of occupational success. The problem of this study was to determine whether or not the variables locus of control, perceived anxiety, anxiety proneness, nursing experience and intensive care experience were better than chance predictors of job stress in intensive care nurses. The study was conducted using 200 volunteer nurses (RN's) who worked in the Intensive Care Units of two major hospitals in a large metropolitan area. All subjects were administered Spielberger's State-Trait Anxiety Inventory, Rotter Internal-External Locus of Control Scale and the Nursing Stress Scale as well as a demographic questionnaire. Multiple Regression Analysis was used to determine the predictive value of the characteristic variables to job stress and to determine the most efficient predictive model possible using these variables. North Texas State University Medler, Byron Overton, Thomas D. Dameron, Joseph D. Brookshire, William K. 1984-05 Thesis or Dissertation iv, 75 leaves Text local-cont-no: 1002779693-Freeman call-no: 379 N81 no. 2155 untcat: b1314866 oclc: 11620442 https://digital.library.unt.edu/ark:/67531/metadc330644/ ark: ark:/67531/metadc330644 English Public Freeman, Stephen J. (Stephen Joseph) Copyright Copyright is held by the author, unless otherwise noted. All rights reserved.
collection NDLTD
language English
format Others
sources NDLTD
topic job stress
intensive care nurses
Nurses -- Job stress.
Nurses -- Psychology.
Prediction of occupational success.
spellingShingle job stress
intensive care nurses
Nurses -- Job stress.
Nurses -- Psychology.
Prediction of occupational success.
Freeman, Stephen J. (Stephen Joseph)
Predicting Stress in Intensive Care Nurses
description The problem of this study was to determine whether or not the variables locus of control, perceived anxiety, anxiety proneness, nursing experience and intensive care experience were better than chance predictors of job stress in intensive care nurses. The study was conducted using 200 volunteer nurses (RN's) who worked in the Intensive Care Units of two major hospitals in a large metropolitan area. All subjects were administered Spielberger's State-Trait Anxiety Inventory, Rotter Internal-External Locus of Control Scale and the Nursing Stress Scale as well as a demographic questionnaire. Multiple Regression Analysis was used to determine the predictive value of the characteristic variables to job stress and to determine the most efficient predictive model possible using these variables.
author2 Medler, Byron
author_facet Medler, Byron
Freeman, Stephen J. (Stephen Joseph)
author Freeman, Stephen J. (Stephen Joseph)
author_sort Freeman, Stephen J. (Stephen Joseph)
title Predicting Stress in Intensive Care Nurses
title_short Predicting Stress in Intensive Care Nurses
title_full Predicting Stress in Intensive Care Nurses
title_fullStr Predicting Stress in Intensive Care Nurses
title_full_unstemmed Predicting Stress in Intensive Care Nurses
title_sort predicting stress in intensive care nurses
publisher North Texas State University
publishDate 1984
url https://digital.library.unt.edu/ark:/67531/metadc330644/
work_keys_str_mv AT freemanstephenjstephenjoseph predictingstressinintensivecarenurses
_version_ 1719328540979101696