• 대한간호학회지
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• 제33권6호
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• pp.705-712
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• 2003

Purpose: The purpose of this study was to explore factors that influence care dependency of institutionalized patients with dementia. Method: This study utilized descriptive correlational design. The convenience sample was composed of 110 residents with dementia of two long-term care facilities in Korea. Stepwise multiple regression was used to identify significant factors influencing care dependency in patients with dementia. Care dependency was measured using the Care Dependency Scale, Korean version(CDS-K). Cognition was measured by the MMSE-K. Functional disability was measured by the PULSES Profile. Behavioral dysfunction was measured by the modified E-BEHAVE AD. Result: Care dependency was significantly influenced by cognition, functional disability, behavioral dysfunction, and duration of dementia. This regression model explained 61 % of the variances in care dependency. Cognition explained 37% of the variances, and functional disability explained 21% of the variances. Conclusion: Results of this study suggest that professional caregivers intervene more effectively in caring for their patients with dementia by recognizing the patients cognitive, functional, behavioral disability, and its periodic change. Individually, remaining abilities-focused intervention should be applied to enhance patient to be dependent and to prevent unnecessary independency.

• 대한교통학회지
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• 제10권2호
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• pp.25-42
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• 1992

The purpose of this paper is to construct a model to compute a progression adjustment factor on a signalized network. In a way to construct the model, a simulation method is introduced and the TRAF-NETSIM is used as a tool of simulation. The structure of the network chooses an urban arterial network so as to measure the effect of progression and compute average stopped delay on each link. A regression model is constructed by using the results of the simulation. The stepwise variable selection in the regression model in used. The findings of this paper are as follows: i)The secondary queue and platoon ratio are sensitive to the values of the progression adjustment factor ii) The continuous model can practically reflect on various situations in the real world. The platoon adjustment factor can be computed by this model and the data required for this model can be easily obtained in the field.

• 기본간호학회지
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• 제21권1호
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• pp.29-38
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• 2014

Purpose: This study was done to examine factors affecting cancer preventive behavior in middle-aged people. Method: The research design for this study was a descriptive survey design using convenience sampling. Data collection was done using self-questionnaire with 203 middle-aged people in Seoul and G city. Data were analyzed using t-test, ANOVA, Pearson correlation coefficients and stepwise multiple regression with the SPSS Win 20.0 Program. Results: The mean score of cancer preventive behavior was $3.43{\pm}.14$ out of 5. Cancer preventive behavior showed a significantly positive correlation with knowledge about cancer (r=.24, p<.001). In the multiple regression analysis, gender, perceived health status and knowledge about cancer were significant predictors and explained 14.5% of cancer preventive behaviors. Conclusion: Findings of this study allow a comprehensive understanding of cancer preventive behavior and related factors by middle-aged people. However, further study with a larger random sample from various living environment is necessary.

• 한국간호교육학회지
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• 제14권1호
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• pp.73-79
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• 2008

Purpose: This study was conducted to investigate the level of nursing professionalism and the factors affecting it, In addition, it can serve as a fundamental resource for development of appropriate strategies for nursing professionalism. Method: This study was performed on 370 nurses working at two university hospitals located in Seoul. Data was analyzed by Pearson correlation analysis, and stepwise multiple regression using SPSS Win 14.0. Result: The estimated regression model of nursing professionalism was statistically significant (F=199.89, p=.000). Major factors influencing nursing professionalism were observed as ability of job performance (${\beta}=.811$), job satisfaction (${\beta}=.140$), organizational commitment (${\beta}=.086$), and turnover intention (${\beta}=.084$). These four factors explained 67.9% of nursing professionalism. Conclusion: Based on the results of the study, further research is needed to investigate other factors affecting nursing professionalism.

• 기본간호학회지
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• 제20권4호
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• pp.438-448
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• 2013

Purpose: The purpose of this study was to investigate factors influencing clinical competence in nursing students. Method: The participants were 125 nursing students and data were collected from October 8 to December 18, 2010 using questionnaires with. Collected data were analyzed using descriptive statistics, t-test, ANOVA, Pearson's correlation coefficient and stepwise multiple regression. Results: There were significant correlations for creativity, problem-solving ability, self-directed learning ability, and clinical competence. The factor influencing clinical competence the most was creativity, followed by problem-solving ability, self-directed learning ability, and grade point average score. The regression model explained 37% of variance in clinical competence. Conclusion: The results indicate that for improvement in the clinical competence of nursing students, it is necessary to develop strategies and education programs to enhance creativity, problem-solving ability, and self-directed learning ability.

• 한국간호교육학회지
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• 제20권4호
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• pp.569-576
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• 2014

Purpose: This study investigates the factors affecting spirituality in nursing students. Method: A total of 247 nursing students participated in the study. Data were analyzed by frequencies, t-tests, ANOVA, Pearson correlation coefficients and multiple stepwise regression via SPSS WIN 18.0. Results: The mean scores for hope, gratitude, and spirituality were above-average. However, there were significant mean differences in spirituality according to religion, religious activity, voluntary service, satisfaction with the nursing field, and motivation for entering a college of nursing. Spirituality positively correlated with hope and gratitude. Significant predictors of spirituality included hope, gratitude, voluntary service and religious activity. The regression model explained 51.3% of perceived spirituality. Conclusion: To improve spirituality among nursing students, nursing educators should develop educational intervention programs to promote hope and gratitude, and support participation in voluntary service and religious activity.

• 대한조선학회지
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• 제26권4호
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• pp.14-26
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• 1989

선박의 추진성능 추정을 위한 통계해석 기법을 연구하고 전산 프로그램을 만들었다. 조파저항계수의 추정식은 조파저항이론을 이용하여 스테이션 별 횡단면적계수의 곱으로 표현되도록 도출해 내었고, 이에 대한 회귀계수는 모형시험 결과를 회귀분석하여 얻었다. 형상계수, 반류비 및 추력감소율의 추정식들은 선체 주요지수, 스테이션 별 횡단면적계수 및 모형시험 결과들을 순순하게 회귀분석하여 얻었다. 통계해석은 여러가지 기술통계와 단계별 회귀분석 기법을 적절하게 이용하여 수행하였다. 추진성능 추정 프로그램은 저항계수, 추진계수, 프로펠러 단독효율 및 각종 척도효과 등을 모두 쉽게 수용할 수 있도록 다양하면서도 간결하게 만들었다.

• 운동영양학회지
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• 제25권1호
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• pp.35-41
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• 2021

[Purpose] This pilot study aimed to develop a regression model to estimate the excess post-exercise oxygen consumption (EPOC) of Korean adults using various easy-to-measure dependent variables. [Methods] The EPOC and dependent variables for its estimation (e.g., sex, age, height, weight, body mass index, fat-free mass [FFM], fat mass, % body fat, and heart rate_sum [HR_sum]) were measured in 75 healthy adults (31 males, 44 females). Statistical analysis was performed to develop an EPOC estimation regression model using the stepwise regression method. [Results] We confirmed that FFM and HR_sum were important variables in the EPOC regression models of various exercise types. The explanatory power and standard errors of estimates (SEE) for EPOC of each exercise type were as follows: the continuous exercise (CEx) regression model was 86.3% (R²) and 85.9% (adjusted R²), and the mean SEE was 11.73 kcal, interval exercise (IEx) regression model was 83.1% (R²) and 82.6% (adjusted R²), while the mean SEE was 13.68 kcal, and the accumulation of short-duration exercise (AEx) regression models was 91.3% (R²) and 91.0% (adjusted R²), while the mean SEE was 27.71 kcal. There was no significant difference between the measured EPOC using a metabolic gas analyzer and the predicted EPOC for each exercise type. [Conclusion] This pilot study developed a regression model to estimate EPOC in healthy Korean adults. The regression model was as follows: CEx = -37.128 + 1.003 × (FFM) + 0.016 × (HR_sum), IEx = -49.265 + 1.442 × (FFM) + 0.013 × (HR_sum), and AEx = -100.942 + 2.209 × (FFM) + 0.020 × (HR_sum).

• 물과 미래
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• 제10권2호
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• pp.101-111
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• 1977

The analysis performed here is aimed to increase the familiarity of hydrologic process especially for the small basins which are densely gaged. Kyung An and Mu Shim river basins are selected as a represectative basin according to the criteria which UNESCO has establisheed back in 1964 and being operated under the auspice of Ministry of Construction. The data exerted from these basins is utilized for the determination of the characteristics of precipitation and runoff phenomena for the small basin, which is considerred as a typical Korean samll watershed. The methodology developed by Soil Conservation Service, USA for determination of runoff value from precipitation is applied to find the suitability of the method to Korean River Basin. The soil cover complex number or runoff curve number was determined by considering the type of soil, soil cover, land use and other factor such as antecent moisture content. The averag values of CN for Kyung An and Mushim river basins were found to be 63.9 and 63.1 under AMC II, however, the values obtained from soil cover complex was less than those from total precipitation and effective precicpitation by 10-30%. It may be worth to note that an attention has to be paid in the application of SCS method lo Korean river basin by adjusting 10-30% increase to the value obtained from soil cover complex. Finally, the design flood hydrograph was consturcted by employing unit hydrograph technique to the dimensionless mass curve. Also a stepwise multiple regression was performed to find the relationship between runoff and API, evapotranspiration rate, 5 days antecedent precipitation and daily temperature.

• 한국축산식품학회지
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• 제31권1호
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• pp.115-121
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• 2011

본 연구에서는 유통현장에서 실시간으로 쇠고기 신선도를 측정하기 위해 가시광선-근적외선 반사 스펙트럼을 이용하여 쇠고기 신선도에 영향을 미치는 인자와 설정된 저장기간에 대하여 예측 모델을 개발하고 검증하였다. 쇠고기 시료는 총 216개를 사용하였으며 0-14일의 기간 동안 2일 간격으로 가시광선-근적외선 반사 스펙트럼을 측정한 후, 쇠고기의 신선도에 영향을 미치는 인자인 총균수, pH, VBN, TMA, TBA값을 공인된 방법을 이용하여 측정하였다. 예측모델은 다중회귀분석 방법과 최적 변수 선택이 가능한 stepwise 방법을 이용하여 개발하였으며, 예측모델의 선정은 결정계수, 오차, RPD를 이용하였다. 예측모델의 검증은 미지의 시료를 이용하였으며 그 결과 결정계수, 오차, RPD는 총균수에서 각각 0.74, 0.64, 2.75 Log CFU/$cm^2$, VBN은 각각 0.73, 1.45, 2.00 mg%, TMA는 각각 0.70, 0.19, 2.58 mg%, TBA값은 각각 0.73, 0.13, 2.77 mg MA/kg로 비교적 안정된 예측성능을 보여 주었다. 저장기간에 따른 예측모델의 검증결과는 결정계수, 오차, RPD가 각각 0.77, 1.94일, 2.53으로 실험 시 저장기간이 2일 간격인 점을 고려할 때, 비교적 높은 정밀도를 보이고 있음을 알 수 있다. pH의 예측성능은 결정계수, 오차, RPD가 각각 0.43, 0.10, 1.10로 다른 신선도 인자에 비해 낮은 결과를 보여 주었다. 본 연구에서는 가시광선-근적외선 분광분석법을 이용하여 쇠고기 신선도의 비파괴 평가에 대한 가능성을 제시하였으나 유통현장에서 적용을 위해서는 보다 많은 시료의 확보를 통한 예측모델의 신뢰성 향상과 stepwise방법으로 선정된 파장 영역을 기본으로 하는 부분최소자승법, 인공지능 등의 다양한 알고리즘의 적용을 통한 성능개선이 필요할 것으로 판단된다.