• The Journal of Korean Academic Society of Nursing Education
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• v.26 no.3
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• pp.259-268
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• 2020

Purpose: This exploratory study aims to identify the influence of clinical practice belonging, satisfaction with major, and work values on the level of career identity among nursing students. Methods: The subjects of this study are 251 senior students from three nursing departments located in a metropolitan city. Using SPSS 22.0, the study uses technical statistics, t-test, One-way ANOVA, correlation, and multiple regression analysis. Results: The average scores for clinical practice belonging, satisfaction with major, and work values were 3.61, 3.87, and 3.70 out of 5.00, respectively, and 2.85 out of 4.00 for career identity. The factors affecting students' career identity were clinical practice belonging, aptitude, satisfaction with clinical practice, satisfaction with major, indoor work, service and employment at hospitals with 40 percent being explained by these variables. Conclusion: Through this study we found that clinical practice belonging has the greatest impact on career identity. In order to enhance clinical practice belonging, universities and clinical institutions need to develop new programs and curricula.

• Korean Journal of Occupational Health Nursing
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• v.28 no.1
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• pp.64-74
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• 2019

Purpose: The purpose of this study was to identify the influencing factors on burnout after analyzing the relationship among clinical nurses' various perfectionism and coping styles. Methods: A descriptive, cross-sectional study was conducted with 200 clinical nurses who had six months or more years of clinical experiences from two general hospitals located in D city. The data were analyzed by t-test, one-way ANOVA, Pearson's correlation coefficients, and stepwise regression analysis using IBM SPSS statistics 23.0 program. Results: The burnout of clinical nurses was positively correlated with socially prescribed perfectionism and negatively correlated with active coping style. Socially prescribed perfectionism was positively correlated with active coping style and passive coping style. Influencing factors on the burnout of clinical nurses were socially prescribed perfectionism (${\beta}=.37$), satisfied work unit (${\beta}=-.64$) and neutral satisfaction of work unit (${\beta}=-.27$), over 40 years of age (${\beta}=-.21$), and active coping style (${\beta}=-.14$). The model consisting of these variables explained 42% of variance of burnout in clinical nurses. Conclusion: Based on the findings of this study developing intervention programs that consider influencing factors such as perfectionism and coping styles is needed to reduce the level of burnout of clinical nurses.

• 대한예방의학회:학술대회논문집
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• 2005.10a
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• pp.297-297
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• 2005

• Communications for Statistical Applications and Methods
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• v.20 no.2
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• pp.147-155
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• 2013

To determine whether each coefficient is equal to zero or not, usual $t$-tests are a popular choice (among others) in linear regression to practitioners because all statistical packages provide the statistics and their corresponding $p$-values. Under smaller samples (especially with non-normal errors) the tests often fail to correctly detect statistical significance. We propose a permutation approach by adopting a sufficient dimension reduction methodology to overcome this deficit. Numerical studies confirm that the proposed method has potential advantages over the t-tests. In addition, data analysis is also presented.

• The Korean Journal of Applied Statistics
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• v.25 no.3
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• pp.423-434
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• 2012

A two-sample test for equality of survival distribution is one of the important issues in survival analysis, especially for clinical and epidemiological research. With interval censored data, some testing methods have been developed. This study introduces some testing methods and compares them under various situations through simulation study. Based on simulation result, it provides some useful information on choosing the most appropriate testing method in a given situation.

• Communications for Statistical Applications and Methods
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• v.17 no.1
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• pp.117-126
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• 2010

Clinical researchers often analyze survival data as binary outcomes using the logistic regression method. This paper examines the information loss resulting from analyzing survival time as binary outcomes. We first demonstrate that, under the proportional hazard assumption, this binary discretization does result in a significant information loss. Second, when fitting a logistic model to survival time data, researchers inadvertently use the maximal statistic. We implement a numerical study to examine the properties of the reference distribution for this statistic, finally, we show that the logistic regression method can still be a useful tool for analyzing survival data in particular when the proportional hazard assumption is questionable.

• The Korean Journal of Applied Statistics
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• v.7 no.2
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• pp.79-88
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• 1994

Weighted log rank test is a widely applicable test when one is interested in detecting the differences between two groups. In man clinical trials it is common to see no differences in early experiments and does show significant differences later. We propose new weighted log rank test and illustrate it through an example. We also examine the empirical powers and show that the proposed test is more sensitive to detect late differences.

• Korean Journal of Digital Imaging in Medicine
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• v.16 no.1
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• pp.61-67
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• 2014

The demand of cyclotron for PET (positron emission tomography) has rapidly grown as the more use of PET or PET-CT equipment requires the increased amount of radioactive isotopes for clinical positron emission. While research on failure statistics of medical equipment used in medical centers has continued to be done, the analysis and study on failure statistics of cyclotron have rarely been conducted. However, the growing demand shows the urgency of systematical management guideline and countermeasures for device failure to minimize any supply delay of radiopharmaceuticals occurred by such failure and complains from waiting patients for PET-CT diagnosis. Therefore, this study aims to analyze the failure report from Minitrace equipped in cyclotron which is owned by the department of nuclear medicine at Yeungnam University Medical Center and draws on the data to build effective management system for cyclotron.

• Journal of the Korean Data and Information Science Society
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• v.9 no.1
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• pp.11-18
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• 1998

In clinical measurement comparison of a new measurement technique with an established one is often needed to see whether they agree sufficiently for the new to replace the old. Such investigations are often analysed inappropriately, notably by using the correlation coefficient(r). So, the measurement for agreement was determined by Bland & Altman's method recently. In this article, we will analyse the measurement for agreement by using Q-Q plot and by applying Bland and Altman's method through graph. And we will show characteristics for these techniques.

• Communications for Statistical Applications and Methods
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• v.22 no.4
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• pp.389-399
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• 2015

It is important not to overcalculate sample sizes for clinical trials due to economic, ethical, and scientific reasons. Kang and Kim (2014) investigated the accuracy of a well-known sample size calculation formula based on the approximate power for continuous endpoints in equivalence trials, which has been widely used for Development of Biosimilar Products. They concluded that this formula is overly conservative and that sample size should be calculated based on an exact power. This paper extends these results to binary endpoints for three popular metrics: the risk difference, the log of the relative risk, and the log of the odds ratio. We conclude that the sample size formulae based on the approximate power for binary endpoints in equivalence trials are overly conservative. In many cases, sample sizes to achieve 80% power based on approximate powers have 90% exact power. We propose that sample size should be computed numerically based on the exact power.