• 한국콘텐츠학회논문지
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• 제14권7호
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• pp.324-333
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• 2014

본 연구는 간호대학생의 문제해결능력과 사회불안 정도 및 이들 간의 관계를 파악하고 사회불안에 영향을 미치는 요인을 규명하는 서술적 조사연구이다. 연구대상자는 A시와 Y시에 소재한 2개 대학의 간호대학생 227명이었다. 구조화된 자가 보고식 설문지를 이용하여 자료를 수집하였으며, 자료 분석은 SPSS WIN 프로그램을 사용하여 빈도와 백분율, 평균과 표준편차, t-test, ANOVA, Pearson correlation coefficient, multiple stepwise regression analysis를 실시하였다. 연구결과, 사회불안과 문제해결능력 수준은 중간정도의 수준이었으며, 문제해결능력과 사회불안은 부적 상관관계를 보였다. 사회불안에 영향을 미치는 요인으로는 문제해결능력의 하위요인인 인지적 반응과 일반적 특성 중 지각된 대인관계가 유의한 것으로 나타났으며 이들 변수의 사회불안에 대한 설명력은 23.6%이었다. 결론적으로, 친숙하지 않은 사회적 상황에서의 인지적 왜곡을 탐색하고 이를 수정하는 교육과 상담 및 대인관계능력을 향상시키는 프로그램 적용은 간호대학생의 사회불안을 감소시키는데 효과적인 전략이 될 수 있다.

• 한국산학기술학회논문지
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• 제15권3호
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• pp.1615-1622
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• 2014

본 연구는 간호대학생의 학업탄력성에 미치는 영향요인을 파악하기 위해 시도된 연구로 2013년 3월 4일부터 8일까지 일개 광역시에 소재한 간호대학생 2학년 280명의 자료를 이용하여 빈도와 백분율, 평균과 표준편차, ANOVA, Scheffe's test, Pearson's correlation coefficients 및 Stepwise multiple regression으로 분석하였다. 연구 결과, 간호대학생의 학업탄력성 정도는 3.67점, 문제해결능력 정도는 3.53점, 의사소통능력 정도는 3.50점이었고, 문제해결능력과 의사소통능력이 높을수록 학업탄력성이 높은 것으로 나타났다. 학업탄력성을 설명하는 요인은 계획실행, 해석능력, 목표설정능력, 원인분석, 수행평가로 학업탄력성을 50.7% 설명해 주었다. 본 연구결과에 의하면 간호대학생의 학업탄력성의 설명요인을 고려한 효율적인 교육프로그램 개발이 요구된다.

• 한국산학기술학회논문지
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• 제20권12호
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• pp.157-166
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• 2019

본 연구는 간호사의 감성지능과 전문직 자아개념이 재직의도에 미치는 영향을 파악하기 위해 시도되었다. 자료수집은 B광역시 소재 종합병원 3곳에 근무하는 간호사 170명을 대상으로 하였다. 자료수집 기간은 2019년 5월 7일부터 5월 30일까지 구조화된 설문지를 이용하여 시행되었다. 수집된 자료는 SPSS/WIN 24.0 프로그램을 이용하여 분석하였으며 t-test, ANOVA, Pearson correlation coefficients 와 stepwise multiple regression analysis를 이용하였다. 본 연구결과, 대상자의 감성지능 정도는 4.82점(7점만점), 전문직 자아개념 정도는 2.61점(4점만점), 재직의도 정도는 5.47점(8점만점)이었다. 대상자의 재직의도는 감성지능, 전문직 자아개념과 모두 유의한 양의 상관관계가 있는 것으로 나타났다. 대상자의 재직의도에 영향을 미치는 요인으로는 전문직자아개념(β=.456, p<.001), 연령(β=-.228, p<.001), 휴가(β=.197, p=.002)순으로 나타났다. 이들 요인들에 의한 재직의도 설명력은 총 35.9%(F=32.60, p<.001)로 나타났다. 따라서, 본 연구결과를 바탕으로 재직의도를 감소시키기 위한 프로그램 개발이 필요할 것으로 사료된다.

• Animal Bioscience
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• 제37권6호
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• pp.1077-1084
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• 2024

Objective: The present work was conducted to evaluate suitable variables and develop prediction equations using chemical composition and physical characteristics for estimating standardized ileal digestibility (SID) of lysine (Lys) in full-fat soybeans (FFSB). Methods: The chemical composition and physical characteristics were determined including trypsin inhibitor activity (TIA), urease activity (UA), protein solubility in 0.2% potassium hydroxide (KOH), protein dispersibility index (PDI), lysine to crude protein ratio (Lys:CP), reactive Lys:CP ratio, neutral detergent fiber, neutral detergent insoluble nitrogen (NDIN), acid detergent insoluble nitrogen (ADIN), acid detergent fiber, L* (lightness), and a* (redness). Pearson's correlation (r) was computed, and the relationship between variables was determined by linear or quadratic regression. Stepwise multiple regression was performed to develop prediction equations for SID of Lys. Results: Negative correlations (p<0.01) between SID of Lys and protein quality indicators were observed for TIA (r = -0.80), PDI (r = -0.80), and UA (r = -0.76). The SID of Lys also showed a quadratic response (p<0.01) to UA, NDIN, TIA, L*, KOH, a* and Lys:CP. The best-fit model for predicting SID of Lys in FFSB included TIA, UA, NDIN, and ADIN, resulting in the highest coefficient of determination (R² = 0.94). Conclusion: Quadratic regression with one variable indicated the high accuracy for UA, NDIN, TIA, and PDI. The multiple linear regression including TIA, UA, NDIN, and ADIN is an alternative model used to predict SID of Lys in FFSB to improve the accuracy. Therefore, multiple indicators are warranted to assess either insufficient or excessive heat treatment accurately, which can be employed by the feed industry as measures for quality control purposes to predict SID of Lys in FFSB.

• 운동영양학회지
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• 제25권1호
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• pp.23-29
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• 2021

[Purpose] This preliminary study aimed to develop a regression model to estimate the non-exercise activity thermogenesis (NEAT) of Korean adults using various easy-to-measure dependent variables. [Methods] NEAT was measured in 71 healthy adults (male n = 29; female n = 42). Statistical analysis was performed to develop a NEAT estimation regression model using the stepwise regression method. [Results] We confirmed that age^A, weight^B, heart rate (HR)_average^C, weight × HR_average^D, weight × HR_sum^E, systolic blood pressure (SBP) × HR_rest^F, fat mass ÷ height^2G, gender × HR_average^H, and gender × weight × HR_sum^I were important variables in various NEAT activity regression models. There was no significant difference between the measured NEAT values obtained using a metabolic gas analyzer and the predicted NEAT. [Conclusion] This preliminary study developed a regression model to estimate the NEAT in healthy Korean adults. The regression model was as follows: sitting = 1.431 - 0.013 × (A) + 0.00014 × (D) - 0.00005 × (F) + 0.006 × (H); leg jiggling = 1.102 - 0.011 × (A) + 0.013 × (B) + 0.005 × (H); standing = 1.713 - 0.013 × (A) + 0.0000017 × (I); 4.5 km/h walking = 0.864 + 0.035 × (B) + 0.0000041 × (E); 6.0 km/h walking = 4.029 - 0.024 × (C) + 0.00071 × (D); climbing up 1 stair = 1.308 - 0.016 × (A) + 0.00035 × (D) - 0.000085 × (F) - 0.098 × (G); and climbing up 2 stairs = 1.442 - 0.023 × (A) - 0.000093 × (F) - 0.121 × (G) + 0.0000624 × (E).

• 동서간호학연구지
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• 제25권2호
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• pp.138-146
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• 2019

Purpose: The purpose of this study was to identify the factors influencing dementia preventive behavior intention of the elderly people based on the Health Belief Model. Methods: The participants included 113 elderly people who met the eligibility criteria. Demographic variables, variables of the Health Belief Model (perceived susceptibility, perceived severity, perceived benefit, perceived barrier, cues to action, general health motivation, and self efficacy), dementia fear and behavioral intention of dementia prevention were examined using structured self-report questionnaires. Statistical analysis was performed by stepwise multiple regression using SPSS for Windows version 21. Results: Self efficacy, alcohol drinking, perceived barrier and education level were significant factors, which explained 32% of the variance in dementia preventive behavior intention. Multiple regression analysis demonstrated that a powerful predictor of dementia preventive behavior intention of the elderly was self efficacy. Conclusion: Developing nursing intervention to enhance self efficacy toward improvement of dementia preventive behavior among elderly people would be recommended.

• The Journal of Asian Finance, Economics and Business
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• 제7권8호
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• pp.33-40
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• 2020

The main aim of the study is to test a house pricing model by combining hedonic and asset-based pricing models. An understanding of the relationship between house pricing and its return (the rental income) helps to establish houses as a significant asset class. The model tested the relationship between house pricing (dependent variable) and the house attributes (independent variables) derived from Freeman's framework of housing attributes. This study uses a large data-set of 1,899 sample of new, high-end houses purchased between 2016 and 2019 collected from the national capital region of India (Delhi-NCR). The algorithm was built in R-Script, and stepwise multiple linear regression was used to analyze the model. The analysis of the model proves that the three significant variables, namely, carpet area, pay-off, and annual maintenance charges explain the price function. Further, the model is statistically fit. The major contribution of the study is to understand the key factors and their influence on the house pricing. The model will be helpful in risk assessment in the housing investment and enhance the chances of investment. Policy-makers can use information about the underlying valuation drivers of the house prices to stabilize the market and also in framing the tax policies.

• 한국사회복지학
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• 제41권
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• pp.173-200
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• 2000

The purpose of this study is to examine the variables that may influence the level of family adaptation to schizophrenic patients using the Family Resiliency Model. The Family Resiliency Model is the most current extension of family stress Model. According to the Family Resiliency Model, The level of family adaptation in the face of a crisis situation is determined by a number of interacting components. The subjects are 151 family members with schizophrenic patient. The result from the research were as follows: 1) The following variables significantly correlated with the family adaptation: income of the family, educational level of the family, intimacy between family and patient, knowledge on schizophrenia, recognition of prognosis on schizophrenia. 2) The factors that compose the Family Resiliency Model significantly correlated with the level of family adaptation. 3) The result of stepwise multiple regression analysis indicated that factors which predict the level of family adaptation were the family control, the quality of family communication, and the support from the extended family, these findings give us significant practical implications for social work intervention.

• 대한교통학회지
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• 제13권1호
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• pp.35-62
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• 1995

Traffic has a very important function but has caused such social problems as traffic congestion parking and traffic accidents in metropolitan areas. It is difficult to examine the causes of traffic accidents related to human life, which occur by human, vehicle and environmental factors. But human factor is the only measure requlating these factors together an analyzing factors influencing establishment of counterplan of traffic accidents. Consequently , this study employs the principal component analysis and stepwise multiple regression analysis to estimate the characteristics and influential factors of traffic accidents and defines the typical patterns of happening lots of traffic accidents. Accordingly, this study establishes an acknowledgement model of the causes and preference model of the counterplan of traffic accidents using Multi-Dimension Preference(MDPREF) method.

• 한국간호교육학회지
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• 제19권2호
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• pp.163-171
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• 2013

Purpose: This study was conducted to investigate the level of sense of coherence (SOC) and stress of clinical practice and to identify the relationship of variables among nursing students. Methods: The data were collected from 205 nursing students using self-report questionnaire. Data were analyzed by frequencies, t-test, ANOVA, Pearson's correlation coefficients and Stepwise multiple regression using the SPSS program. Results: Stress of clinical practice negatively correlated with SOC. The significant predictors of stress of clinical practice were satisfaction on major and meaningfulness, manageability in SOC. The regression model explained 21.5% of stress of clinical practice. Conclusion: More efforts to improve satisfaction of their major and SOC, especially in meaningfulness and manageability, might decrease the stress of clinical practice.