• The Journal of Korean Academic Society of Nursing Education
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• v.30 no.2
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• pp.160-169
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• 2024

Purpose: This study aimed to identify the career decision profiles for nursing students and analyze their career barriers, preparation behaviors, decision-making self efficacy, and adaptability according to the career decision profiles. Methods: This cross-sectional study used content analysis. A total of 219 nursing students enrolled in two private Korean universities participated in this study. The data were collected in person and via email between December 8 and 31, 2020. Results: The decidedness and comfort results were statistically significant. Four clusters were identified: undecided-uncomfortable, decided-uncomfortable, decided-comfortable, and undecided-comfortable. Most participants were found to be decided-uncomfortable, followed by decided-comfortable, undecided-uncomfortable, and undecided-comfortable. The self efficacy scores were higher for the decision-comfortable profile than for the undecided-uncomfortable and decided-uncomfortable profiles. The mean adaptability scores were higher for the decision-comfortable profile than for the undecided-comfortable profile. Career barriers were negatively correlated with preparation behavior, decision-making self efficacy, and adaptability, while preparative behaviors were positively correlated with decision-making self efficacy and adaptability. Decision-making self efficacy was positively correlated with adaptability. The mean career barriers, preparation behaviors, decision-making self efficacy, and adaptability scores differed significantly across profiles. The mean career barrier score was higher for the undecided-uncomfortable than for the decided-comfortable profile; preparation behaviors exhibited no significant differences. Conclusion: Tailored career coaching and counseling programs based on personal characteristics and areas of interest are needed for freshmen and senior nursing students to reduce career barriers and to improve preparation behaviors, decision-making self efficacy, and adaptability.

• Journal of Korean Academy of Nursing
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• v.34 no.2
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• pp.270-277
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• 2004

Purpose: The purpose of this study was to investigate the relationship between decision-making factors(theoretical knowledge, expertise, empowerment, intuition) and participation in proportion to nurses's clinical experience. Method: Data was collected by quota sampling from July 10, 2001 to August 22, 2001 from 132 clinical nurses who work for 3 General hospitals. Data was analyzed using SPSSWIN 10.0 with crosstab, ANOVA, and stepwise multiple regression. Result: Expertise(F=34.347, p=.000), empowerment(F=29.316, p=.000), and participation(F=3.276, p=.041) were significantly different among 3 clinical experience groups. Clinical experience correlated with expertise(r=.551, p=.000) and empowerment(r=.492, p=.000), and Decision-making participation also correlated with expertise(r=.351, p=.000) and empowerment(r=.265, p=.002). Decision-making participation is effected by theoretical knowledge(under 3.00yr clinical experience), expertise(3.01-5.00yr), and empowerment(above 5.01yr). Conclusion: These findings indicate that factors(theoretical knowledge, expertise, or empowerment) on decision-making participation varies as nurses's clinical experience differs. Therefore, decision-making needs bilateral agreement between staff nurses and nurse managers rather than the responsibility of one.

• Journal of Computing Science and Engineering
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• v.11 no.4
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• pp.142-151
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• 2017

Spontaneous intracerebral hemorrhage (sICH) has a high mortality rate. Research has demonstrated that sICH occurrence is related to weather conditions; therefore, this study used the decision tree method to explore the impact of climatic risk factors on sICH at different ages. The Taiwan National Health Insurance Research Database (NHIRD) and other open-access data were used in this study. The inclusion criterion was a first-attack sICH. The decision tree algorithm and random forest were implemented in R programming language. We defined a high risk of sICH as more than the average number of cases daily, and the younger, middle-aged and older groups were calculated as having 0.77, 2.26 and 2.60 cases per day, respectively. In total, 22,684 sICH cases were included in this study; 3,102 patients were younger (<44 years, younger group), 9,089 were middle-aged (45-64 years, middle group), and 10,457 were older (>65 years, older group). The risk of sICH in the younger group was not correlated with temperature, wind speed or humidity. The middle group had two decision nodes: a higher risk if the maximum temperature was >$19^{\circ}C$ (probability = 63.7%), and if the maximum temperature was <$19^{\circ}C$ in addition to a wind speed <2.788 (m/s) (probability = 60.9%). The older group had a higher risk if the average temperature was >$23.933^{\circ}C$ (probability = 60.7%). This study demonstrated that the sICH incidence in the younger patients was not significantly correlated with weather factors; that in the middle-aged sICH patients was highly-correlated with the apparent temperature; and that in the older sICH patients was highly-correlated with the mean ambient temperature. "Warm" cold ambient temperatures resulted in a higher risk of sICH, especially in the older patients.

• ETRI Journal
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• v.29 no.6
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• pp.736-744
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• 2007

We propose a fast macroblock (MB) mode prediction and decision algorithm based on temporal correlation for P-slices in the H.264/AVC video standard. There are eight block types for temporal decorrelation, including SKIP mode based on rate-distortion (RD) optimization. This scheme gives rise to exhaustive computations (search) in the coding procedure. To overcome this problem, a thresholding method for fast inter mode decision using a MB tracking scheme to find the most correlated block and RD cost of the correlated block is suggested for early stop of the inter mode determination. We propose a two-step inter mode candidate selection method using statistical analysis. In the first step, a mode is selected based on the mode information of the co-located MB from the previous frame. Then, an adaptive thresholding scheme is applied using the RD cost of the most correlated MB. Secondly, additional candidate modes are considered to determine the best mode of the initial candidate modes that does not satisfy the designed thresholding rule. Comparative analysis shows that a speed-up factor of up to 70.59% is obtained when compared with the full mode search method with a negligible bit increment and a minimal loss of image quality.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.20 no.43
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• pp.109-118
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• 1997

This paper examined whether strategic decision-making are related to its performance, using a empirical study. Variables of strategic decision-making process were procedural rationality, political behavior, and application of information technology, moderating variable was environmental unstability. The findings suggested that relations between strategic decision-making process and its performance was strongly correlated, but environmental unstability was not moderating for its performance.

• Journal of the Korean housing association
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• v.12 no.2
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• pp.45-54
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• 2001

The purpose of this research was to analyze the correlation between the Apartment Purchase Price Decision Factor and Amenity decision Factor with cognition of the Consumer. The result are as follows; 1. The correlation coefficient between the Apartment Price Decision Factor and Amenity decision Factor with cognition of the Consumer was 0.587. 2. The ranking of the purchase price factor which it prefers were analyzed orientation > sunlight > view > the rising price expectation > natural environment etc. And the ranking of the amenity were analyzed orientation > natural environment > view > sunlight > noise etc. 3. Consumer group was classified the location, sex, year of ages and unit scale. The rank correlation coefficient of (the significant was below 0.05) sex was 0.617~0.644, year of ages was 0.62~0.771 and unit scale was 0.762~0.852. This research proved the fact that the amenity correlated with the apartment purchase price decision factor, so amenity contained an economic value. And this result will be used in decision-making-process of apartment construction.

• Journal of the Korean Institute of Educational Facilities
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• v.18 no.5
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• pp.61-71
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• 2011

The purpose of this paper is to analyze university students' types of spatial consumptive decision behavior in order to provide a guideline on development of creative squares on campus. In particular, it is investigated how student's general characteristics, such as gender, age and major, awareness of creative squares, and preferred spatial types have influence on types of spatial decision consumptive behavior. In addition, correlations among the factors and types are analyzed. As a specific method for gathering information, a questionnaire composed of 46 questions was drawn up to conduct a survey of 206 students of S University in Seoul. The collected data from the survey were analyzed using SPSS windows v17.0. Based on a few previous works, the spatial consumptive decision behavior is classified into four types with Crombach ${\alpha}=0.794$ : 'Exploration' type, 'Experience' type, 'Showing-off type, and 'Trend-Following' type. The main results of this paper can be summarized as follows. First, all factors that affect spatial consumptive decision behavior are more or less correlated with one another. Second, awareness of creative square is significantly different according to the age and major of students. Third, in general, the 'Exploration' type embraces the largest number of students, followed by 'Experience' type, 'Showing-off type, and 'Trend-Following' type. Fourth, the portion of students belonging to each type is a little different according to the major of students. Finally, each type of spatial consumptive decision behavior is highly correlated with the gender and preferred spatial types of students. It was also found that all types of students prefer three to five specific spatial types. Accordingly, the identified spatial types can be exploited in developing a creative square in campus. The results of this paper are expected to expedite follow-up research on creative squares on campus under various conditions.

• Journal of Korean Academy of Nursing
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• v.40 no.6
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• pp.892-902
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• 2010

Purpose: This study was done to identify participation by home healthcare nurses in clinical decision making and factors influencing clinical decision making. Methods: A descriptive survey was used to collect data from 68 home healthcare nurses in 22 hospital-based home healthcare services in Korea. To investigate participation, the researcher developed 3 scenarios through interviews with 5 home healthcare nurses. A self-report questionnaire composed of tools for characteristics, factors of clinical decision making, and participation was used. Results: Participation was relatively high, but significantly lower in the design phase (F=3.51, p=.032). Competency in clinical decision making (r=.45, p<.001), perception of the decision maker role (r=.47, p<.001), and perception of the utility of clinical practice guidelines (r=.25, p=.043) were significantly correlated with participation. Competency in clinical decision making (Odds ratio [OR]=41.79, p=.007) and perception of the decision maker role (OR=15.09, p=.007) were significant factors predicting participation in clinical decision making by home healthcare nurses. Conclusion: In order to encourage participation in clinical decision making, education programs should be provided to home healthcare nurses. Official clinical practice guidelines should be used to support home healthcare nurses’ participation in clinical decision making in cases where they can identify and solve the patient health problems.

• Journal of Korean Academy of Nursing Administration
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• v.15 no.4
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• pp.581-592
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• 2009

Purpose: This study was designed to describe the nurses' knowledge and attitude about incidence reporting according to nursing organizational culture and organizational characteristics. Methods: The subjects of this study were 783 clinical nurses who were in A university hospital in Gyeonggi-Do. The data were collected from May, 20, 2009 to June, 2, 2009. The collected data were analyzed through descriptive methods, Pearson correlation coefficient, multiple regression in SPSS win(12.0). Results: Nurses' knowledge and attitude about incidence reporting were positively correlated with innovation oriented culture, relation oriented culture, and culture of patient safety. And among characteristics of nursing organization, communication, decision making, centralization were positively correlated with nurses' knowledge and attitude about incidence reporting. But the most correlated factor with nurses' knowledge and attitude about incidence reporting was culture of patient safety. Conclusions: The findings of this study suggest that to encourage reporting incidence, there must be a organizational approach, such as creating a culture of patient safety, active participating decision making, and communication.

• Journal of Information Technology Applications and Management
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• v.11 no.1
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• pp.117-135
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• 2004

Since human decision making behavior is likely to follow nonlinear strategy, it is conjectured that the human decision making behavior can be modeled better by nonlinear models than by linear models. All that linear models can do is to approximate rather than model the decision behavior. This study attempts to test this conjecture by analyzing human decision making behavior and combining the results of the analysis with predictive performance of both linear models and nonlinear models. In this way, this study can examine the relationship between the predictive performance of models and the existence of valid nonlinear strategy in decision making behavior. This study finds that the existence of nonlinear strategy in decision making behavior is highly correlated with the validity of the decision (or the human experts). The second finding concerns the significant correlations between the model performance and the existence of valid nonlinear strategy which is detected by Lens Model. The third finding is that as stronger the valid nonlinear strategy becomes, the better nonlinear models predict significantly than linear models. The results of this study bring an important concept, validity of nonlinear strategy, to modeling human experts. The inclusion of the concept indicates that the prior analysis of human judgement may lead to the selection of proper modeling algorithm. In addition, lens Model Analysis is proved to be useful in examining the valid nonlinearity in human decision behavior.