• Journal of Korean Academy of Nursing
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• v.28 no.1
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• pp.17-25
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• 1998

This study was done to evaluate the quality of clinical nursing care using the variables of structure, process, and outcome and to analyze the relationship between the variables. This study also explored which variables are validating indicators to evaluate the quality of nursing care. The results analyzed by multiple regression showed that, generally structural variables did not contribute to the variance in outcome scores, but process variables of nursing care contributed significantly to the outcome variable of patient satisfaction. A combination of structure and process variables explained outcome variables more than structural variables alone. Also, patient satisfaction and hospital preference were significantly related to each other. Therefore, if nursing quality evaluation relies solely upon on structural variables such as number of available nurses and workload, it would be inaccurate because process variables of nursing care are strongly related to outcome variables and the two categories of structure and process variables helped to strengthen the relationships. Thus, it is important to focus on variables of structure, process, ant outcome together in evaluating nursing care quality.

• Journal of Korean Academy of Nursing Administration
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• v.2 no.2
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• pp.59-71
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• 1996

Today, quality management is appearing as a critical issue in the field of health care service, partly because of increasing cost of health care. And qualified health care is also accepted as the right of clients, and the responsibility of health professions. So nursing profession can survive and develop only through the quality management of nursing practice like other health professions. Recently, Consumers of nursing service require the effectiveness and the efficiency of nursing practice. Effectiveness and efficiency of nursing practice can be accomplished by outcome evaluation. The focus of outcome evaluation in nurisng practice is on the change which occures in patient's health status with nurisng intervention. Evaluation of outcome is difficult because of some related problems which should be solved, or managed. These problems could be classified as problems of measurement, and attribution. To solve the problems and to evaluate the outcome in nursing practice more accurately, following tasks were suggested. 1) Outcome indicators, and outcome measurement tools should be developed. For these purpose, outcome variables that nursing interventions can contribute primarily should be found out. Also, outcome variables which are driven from nursing theories should be developed. 2) Outcome researches which can explain the effect of nursing care to patient outcomes should be performed. The outcome researches are the methods which can increase the power of nursing profession. 3) Models which can be used for the systematic and scientific quality management in nursing practice should be developed. The models should include outcome variables, and be able to explain the relationship between structure, process, and outcome aspects of quality management. 4) The method which can make patients participate in the evaluation process of quality of nursing practice should be devised. Because outcome evaluation is client-focused evaluation, the perspectives of patients should be emphasized, and reflected in the process of evaluation.

• Journal of Korean Biological Nursing Science
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• v.8 no.1
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• pp.61-81
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• 2006

Purpose: The purpose of this study was to examine exercise program and outcome variables of exercise intervention studies from 1985 to 2004 in 9 major nursing journals in Korea. Method: From 81 articles, publishing year, research design, subjects, exercise program and outcome variables were analyzed. Results: The 57 papers(70.4%) were experimental research among 81 papers. Subjects of exercise intervention studies were demonstrated that patients were 55.6% while healthy person was 44.4%. Exercise type by the subjects which demonstrated the highest proportion was dance movement for the elderly, walking for the middle aged women and aqua exercise for the arthritis. The 40 papers(49.4%) included exercise duration, frequency and time for the exercise program which demonstrated the highest proportion. Outcome variables to determine the effect of exercise intervention were demonstrated to be physical function, physiological index, psychological and emotional variables, cardiopulmonary function, body composition, physical symptoms, variables related to exercise and behavior in order. Conclusion: Half of the exercise intervention papers included exercise duration, frequency, time and intensity for the exercise program. Frequently used outcome variables to determine the effect of exercise intervention were demonstrated to be physical function, physiological index and psychological emotional variables.

• Communications for Statistical Applications and Methods
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• v.30 no.6
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• pp.631-652
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• 2023

In the two-condition within-subject mediation design, pairs of variables such as mediator and outcome are observed under two treatment conditions. The main objective of the design is to investigate the indirect effects of the condition difference (sum) on the outcome difference (sum) through the mediator difference (sum) for comparison of two treatment conditions. The natural condition variables mean the original variables, while the rotated condition variables mean the difference and the sum of two natural variables. The outcome difference (sum) is expressed as a linear model regressed on two natural (rotated) mediators as a parallel two-mediator design in two condition approaches: the natural condition approach uses regressors as the natural condition variables, while the rotated condition approach uses regressors as the rotated condition variables. In each condition approach, the total indirect effect on the outcome difference (sum) can be expressed as the sum of two individual indirect effects: within- and cross-condition indirect effects. The total indirect effects on the outcome difference (sum) for both condition approaches are the same. The invariance of the total indirect effect makes it possible to analyze the nature of two pairs of individual indirect effects induced from the natural conditions and the rotated conditions. The two-condition within-subject design is extended to the addition of a between-subject moderator. Probing of the conditional indirect effects given the moderator values is implemented by plotting the bootstrap confidence intervals of indirect effects against the moderator values. The expected indirect effect with respect to the moderator is derived to provide the overall effect of moderator on the indirect effect. The model coefficients are estimated by the structural equation modeling approach and their statistical significance is tested using the bias-corrected bootstrap confidence intervals. All procedures are evaluated using function lavaan() of package {lavaan} in R.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2015.05a
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• pp.459-460
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• 2015

There has been highly increased interests in serious games as a result of the development of game industry. But there are limitations in further development due to negative aspects of game in spite of positive aspects of serious game. Recently, related studies have made efforts to provide positive outcomes of serious games. This study examine to analyze the impact of knowledge acquisition among the various outcome variables in serious games. Through the study, we examine the literature review about knowledge acquisition in various domain on serious games and identify the methodology for assessing outcome variables especially knowledge acquisition.

• Journal of Korean Neurosurgical Society
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• v.51 no.1
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• pp.24-30
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• 2012

Objective : This study was conducted to assess the clinical significance of traumatic brain stem injury (TBSI) reflected on Glasgow Coma Score (GCS) and Glasgow Outcome Score (GOS) by various clinical variables. Methods : A total of 136 TBSI patients were selected out of 2695 head-injured patients. All initial computerized tomography and/or magnetic resonance imaging studies were retrospectively analyzed according to demographic- and injury variables which result in GCS and GOS. Results : In univariate analysis, mode of injury showed a significant effect on combined injury (p<0.001), as were the cases with skull fracture on radiologic finding (p<0.000). The GCS showed a various correlation with radiologic finding (p<0.000), mode of injury (p<0.002), but less favorably with impact site (p<0.052), age (p<0.054) and skull fracture (p<0.057), in order of statistical significances. However, only GOS showed a definite correlation to radiologic finding (p<0.000). In multivariate analysis, the individual variables to enhance an unfavorable effect on GCS were radiologic finding [odds ratio (OR) 7.327, 95% confidence interval (CI)], mode of injury (OR; 4.499, 95% CI) and age (OR; 3.141, 95% CI). Those which influence an unfavorable effect on GOS were radiologic finding (OR; 25.420, 95% CI) and age (OR; 2.674, 95% CI). Conclusion : In evaluation of TBSI on outcome, the variables such as radiological finding, mode of injury, and age were revealed as three important ones to have an unfavorable effect on early stage outcome expressed as GCS. However, mode of injury was shown not to have an unfavorable effect on late stage outcome as GOS. Among all unfavorable variables, radiological finding was confirmed as the only powerful prognostic variable both on GCS and GOS.

• Physical Therapy Korea
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• v.28 no.2
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• pp.154-160
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• 2021

Background: Theoretically, balance is affected by the height of center of mass (COM) during quiet standing. However, no one examined this in humans with variables derived from the center of pressure (COP). Objects: We have conducted balance experiment to measure COP data during quiet standing, in order to examine how the COP measures were affected by the height of COM, vision, floor conditions, and gender. Methods: Twenty individuals stood still with feet together and arms at sides for 30 seconds on a force plate. Trials were acquired with three COM heights: 1% increased or decreased, and not changed, with two vision conditions: eyes closed (EC) and eyes open (EO), and with two floor conditions: unstable (foam pad) and stable (force plate) floor. Outcome variables included the mean distance, root mean square distance, total excursion, mean velocity, and 95% confidence circle area. Results: All outcome variables were associated with the COM height (p < 0.0005), vision (p < 0.0005), and floor condition (p < 0.003). The mean velocity and 95% confidence circle area were 5.7% and 21.8% greater, respectively, in raised COM than in lowered COM (24.6 versus 23.2 mm/s; 1,013.4 versus 832.3 mm²). However, there were no interactions between the COM height and vision condition (p > 0.096), and between the COM height and floor condition (p > 0.183) for all outcome variables. Furthermore, there was no gender difference in all outcome variables (p > 0.186). Conclusion: Balance was affected by the change of COM height induced by a weight belt in human. However, the effect was not affected by vision or floor condition. Our results should inform the design of balance exercise program to improve the outcome of the balance training.

• Journal of Digestive Cancer Research
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• v.10 no.2
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• pp.99-106
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• 2022

Clinical research ultimately aimed to promptly diagnose and prevent diseases through precise biomarker development. Finding the optimal cut-off point of a regularly measured biomarker can help its interpretation and ultimately help in disease investigation and diagnosis, more specifically in determining the presence of diseases. Therefore, this study aimed to use the characteristics of outcome variables in clinical research to explain how to determine the optimal cutoff point. The outcome variables can be divided into dichotomous, ordinal, and survival types. The optimal cut-off point can be determined by finding points that maximize the Youden index, extended Youden index, and log-rank statistics. This study will enable clinical researchers to accurately determine the optimal cut-off points for regularly measured biomarkers, thereby enabling prompt disease diagnosis for effective treatment.

• The Journal of Information Systems
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• v.28 no.4
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• pp.105-129
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• 2019

Purpose Issues related to information security have been a crucial topic of interest to researchers and practitioners in the IT/IS field. This study develops a research model based on a Structure-Conduct-Outcome (SCO) framework for the social exchange relationship between employees and organizations regarding information security. Design/methodology/approach In applying an SCO framework to information security, structure and conduct are activities imposed on employees within an organizational context; outcomes are activities that protect information security from an employee. Data were collected from 438 employees working in manufacturing and service firms currently implementing an information security policy in South Korea. Structural equation modeling (SEM) with AMOS 22.0 is used to test the validation of the measurement model and the proposed casual relationships in the research model. Findings The results demonstrate support for the relationships between predicting variables in organization structure (security policy and physical security system) and the outcome variables in organization conduct (top management support, security education program, and security visibility). Results confirm that the three variables in organization conduct had a positive effect on individual outcome (security knowledge and compliance intention).

• Journal of Fashion Business
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• v.19 no.5
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• pp.77-92
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• 2015

The purpose of this study is to examine and compare effects of psychological factors on market mavenism and fashion leadership in order to determine the differences of two influential groups in the marketplace. The data were collected from 20's-50's consumers through an online survey institute and a total of 857 questionnaires were analyzed. Demographic variables (gender, age, and income level) were entered into the regression model 1 as independent variables, and 6 factors of consumer self-confidence, clothing involvement, status consumption, and price consciousness were entered into the regression model 2. In the regression model 1, gender (female) alone was significant in explaining market mavenism, while the income level had a positive relationship with fashion leadership. In the regression model 2, information acquisition, social outcome, persuasion knowledge among consumer self-confidence, and status consumption were significant predictors of market mavenism. On the other hand, personal outcome, social outcome, persuasion knowledge, clothing involvement, and status consumption had an effect on the fashion leadership. When comparing magnitudes of effects in predicting market mavenism and fashion leadership, social outcome and status consumption showed to have stronger impacts on fashion leadership than on market mavenism. Psychological factors showed to be more powerful in predicting market mavenism or fashion leadership, as compared to demographic variables.