• Title/Summary/Keyword: the multiple regression analysis

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A Study on Factors Influencing Career Preparation Behaviors of Nursing Students (간호대학생의 진로준비행동 영향요인에 관한 연구)

  • Yoonhee Seok;Jinyee Byun
    • Journal of the Korean Applied Science and Technology
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    • v.41 no.2
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    • pp.349-362
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    • 2024
  • This study examines the relationship between social-emotional competence, major satisfaction, and career preparation behaviors for nursing students and identifies factors influencing career preparation behaviors. Data collection was conducted from December 5, 2023, to January 3, 2024, targeting 197 nursing college students (2nd to 4th year) from universities located in S City, C Province, and K Province. The collected data were analyzed using SPSS 29.0 software, employing descriptive statistics, t-tests, ANOVA (post hoc analysis using Scheffe), Pearson's correlation, and hierarchical multiple regression. The results indicated statistically significant positive correlations among nursing students' social-emotional competence, major satisfaction, and career preparation behaviors. Hierarchical multiple regression analysis revealed that factors influencing career preparation behaviors included year of study, participation in career-related programs, social-emotional competence, and major satisfaction, with these variables explaining 40.3% of the variance in career preparation behaviors. Based on the results, it is necessary to develop and apply programs to strengthen social-emotional competencies considering the academic year of nursing student. And customized career programs should be established to increase major satisfaction.

Empirical Study on the Forecasting of the Hotel Room Sales (호텔 객실판매 예측에 관한 실증적 연구 - 서울지역 특급호텔을 중심으로 -)

  • Han, Seung-Youb
    • Korean Business Review
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    • v.4
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    • pp.281-295
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    • 1991
  • Nothing is more incorrect than forecasting. Nevertheless, forecasting is one of the most important business activities for the effective management. There has been rapid changes of the growth rate in every respect of the Korean hospitaity industry, especially the hotel industry, before and after the 88 Olympic Games. Therefore, the hoteliers shall be in need of more-than-ever accourate demand forecasting for the more systematic management and control. Under the above circumstances, this study suggested the best forecasting technique and method for the better sales and operations of the hotel rooms. The number of rooms sold is selected as a dependent variable of this study which is regarded as the best representative factor of measuring the growth rate of the rooms division performance of the hotels. The first step was to select the most verifiable independent variable diferently from the other countries or other areas of Korea. As a result, the number of foreign visitors was chosen. Empirical research, i.e. correlation and multiple regression analysis, shows that this independent variable has a strong relationship with the dependent variable told above. The second procedure was to estimate the number of rooms will be sold in 1991 on the basis of the formula calculated through the multiple regression analysis. Time series technique was conducted using the data of the number of foreign visitors by purpose of travel from 1987 to 1990. For the more correct forecasting, however, it would be desirable to adopt the data from 1989 considering the product or the industry life cycle. In addition, deeper analysis for the monthly or seasonal forecasting method is needed as a future research.

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Analysis on Reduction Effect Factors of Occupational Accident Fatalities in Construction Industry - Focusing on Economic and Workforce Factors - (건설업의 산업재해 사고사망자 감소 영향요인 분석 - 경제적 요인 및 노동력 요인을 중심으로 -)

  • Song, Byungchoon;Won, Jeong-Hun
    • Journal of the Korean Society of Safety
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    • v.35 no.2
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    • pp.55-60
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    • 2020
  • The purpose of this study is to analyze the influence of the economic and workforce factors on the annual number of occupational accident fatalities occurring at the construction sites. The considered variables of the economic factor are the amount of economic losses caused by industrial accidents, the GDP, and the total monthly wage for each economically active population. And, the variables related to the workforce factor are the number of economically active population, the number of female economically active population, and the number of labor union members. The multiple regression analysis was conducted to determine the effect of two factors on the total number of occupational fatalities in the construction industry. The results show that GDP among considered variables in the economic factor had a statistically significant negative relationship with the number of the construction accident fatalities in the construction industry. Among variables related to the workforce factor, economically active population showed a statistically significant negative relationship with the number of the construction accident fatalities.

Analyzing Impact of the Effect of Greenbelts on the Land Surface Temperature in Seoul Metropolitan Area (수도권 그린벨트가 지표면 온도에 미치는 영향 분석)

  • Kim, Hee-Jae
    • Journal of Urban Science
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    • v.9 no.1
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    • pp.17-31
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    • 2020
  • This study aims to analyze the relations among greenbelt, urban land surface temperature empirically in order to assess the environmental effects of the greenbelt in the Seoul metropolitan area, objectively. For this purpose, this study conducts an empirical analysis of impacts of greenbelt on urban land surface temperature using a multiple-regression model. The main data employed in the analysis include real-time air pollution data, Landsat 8-OLI Landsat imagery data, KLIS data and Jip-gye-gu data. The major findings are summarized as follows. NDVI has a negative (-) correlation with the land surface temperature, and the urban temperature is high in areas with poor vegetation. The land surface temperature is low in residential or commercial areas, while the temperature is high in industrial areas. The temperature is low in green fields, open spaces, and river areas. it is found that the urban land surface temperature is low in the greenbelt zone. In the greenbelt zone, there is an effect that reduces the land surface temperature by 1% on average, as compared to that at the center of the Seoul metropolitan area. Especially, the center of the Seoul metropolitan area, in a range from 0.6% to 1.9% of the average temperature, the temperature gets lower up to approximately 3km from the greenbelt boundary.

A Study on the Relationships between Family Support, Compliance and Life Satisfaction in Chronic Arthritis (만성관절염환자의 가족지지, 치료지시이행 및 삶의 만족간의 관계연구)

  • 최혜경
    • Journal of Korean Academy of Nursing
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    • v.17 no.3
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    • pp.218-226
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    • 1987
  • This descriptive-correlational study was undertaken in order to examine if there were relationships between family support, compliance and life satisfaction in chronic arthritis patients. The sampling method was a non-probability, purposive sampling technique. The participants of this study were 92 volunteer adults. 1) who have been diagnosed as having chronic arthritis and 2) who were at the medical out patient clinic of one university hospital in Seoul between April 27th to May 12th 1987. The instruments used for this study were the Family Support Scale developed by Kang Hyun Sook, a Compilance Scale developed by the researcher and the Life-Satisfaction Index-Z developed by Wood et.al. Analysis of data was done using t-test, ANOVA, Pearson Correlation Coefficient and Stepwise Multiple Regression Analysis. The results of study were as follows; Hypothesis I; “The higher the family support, the higher the compliance” was accepted. (r=.2604, p<.01) Hypothesis II; “The higher the compliance, the higher the life satisfaction,” was rejected. (r=.1663, p>0.5) Hypothesis III; “The higher the family support, the higher the life satisfaction” was accepted. (r=.3914, p<.01) In addition, by using Stepwise Multiple Regression Analysis it was determined that the main influencing factors on the life satisfaction were family support, the number of inflammatory joints, compliance and pain level. These 4 main variables made it possible to explain 30.8% of the variance in life satisfaction. In conclusion, this study revealed that family support is an important factor that can improve compliance and life satisfaction in chronic arthritis patients.

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Effect of Noise Reduction by Installation of a Point to Point Speed Camera (실측자료를 통한 구간단속카메라의 소음저감효과 분석)

  • Son, Jin Hee;Chun, Hyung-Joon;Choung, Tae Ryaug;Park, Young Min;Kim, Deuk Sung
    • Transactions of the Korean Society for Noise and Vibration Engineering
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    • v.27 no.1
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    • pp.57-64
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    • 2017
  • This study was reviewed the noise reduction effects with installation of 'point to point speed camera' for controlling the speed of the car. The multiple regression analysis was performed to know how the relationship between the noise level and these parameters, such as measured traffic volume and rate of heavy vehicle and weighted average speed was changed with and without the 'point to point speed camera'. In the analysis results shows that the less traffic volume, the more noise reduction effect has been increased and the more traffic volume, the more noise reduction effect has been reduced. And noise reduction effects by the 'point to point speed camera' was different from each measured point. The cause of the difference was determined that inadequate 'point to point speed camera' position to see the effect of noise reduction. It is determined to require a more study to improve the noise reduction effects of the 'point to point speed camera' such as the camera position adjustment.

A Development of the Ship Weight Estimating Method by a Statistical Approach (통계적 접근법에 의한 선박 중량추정 방법 개발)

  • Cho, Yong-Jin
    • Journal of the Society of Naval Architects of Korea
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    • v.48 no.5
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    • pp.426-434
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    • 2011
  • Accurate weight prediction methods are an essential of the ship design in both ship cost managements and performance satisfactions. When no parent or similar ships are available, an adequate method of the ship weight estimating is required. In this study, there was carried out to develop the ship weight estimating method for the preliminary design phase. The weight estimating methods were first surveyed by the references and summarized their characteristics. The weight estimation method by statistical approach was developed for the container ship because the containerized transportation markets is gradually growing and ship's size and loading capacity are rapidly enlarged. The correlation analysis and the multiple regression analysis were used for developing the weight estimating method. As a results of evaluating the developed method, the error ratio of the variation between estimated weight and ship's data was about 5%. And it was only 1% difference with the calculating weight of conceptual design results by shipyard design team that the estimating weight of ultra-large container ship was predicted by the developed method.

Analyzing Impact of the Effect of Large-scale Green Space on Air Pollution in the Seoul Metropolitan Area (수도권의 대규모 녹지공간이 대기오염에 미치는 영향 분석)

  • Kim, Hee-Jae
    • Journal of Urban Science
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    • v.9 no.2
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    • pp.31-44
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    • 2020
  • This study aims to analyze the relations among greenbelt, air pollution empirically in order to assess the environmental effects of the greenbelt in the Seoul metropolitan area, objectively. For this purpose, this study conducts an empirical analysis of impacts of greenbelt on urban air pollution using a multiple-regression model. The major findings are summarized as follows. As a result of an empirical analysis of the impacts of greenbelt on air pollution, it is found that the characteristics of the city have impacts on air pollution concentration. It is found that the population and employment are the causes of increases in CO and NO2 concentrations, and the number of employees in the manufacturers has impacts on increases of O3 and SO2, while power plants have impacts on PM10, CO and NO2. Intersections have impacts on O3 and SO2, while the areas of the roads have impacts on CO and NO2. In addition, as for the spatial distribution of air pollutants, it is found that CO and NO2 concentrations are relatively higher in the center of the Seoul metropolitan area, while PM10, O3 and SO2 concentrations are relatively higher in the suburbs. It is found that air pollution concentration is low in greenbelt zone. In the greenbelt zone, PM10, CO and SO2 concentrations are low.

STUDY ON THE OPTIMAL DESIGN OF A VEHICLE INTAKE SYSTEM USING THE BOOMING NOISE AND THE SOUND QUALITY EVALUATION INDEX

  • LEE J. K.;PARK Y. W.;CHAI J. B.
    • International Journal of Automotive Technology
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    • v.7 no.1
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    • pp.43-49
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    • 2006
  • In this paper, an index for the evaluation of a vehicle intake booming noise and intake sound quality were developed through a correlation analysis and a multiple factor regression analysis of objective measurement and subjective evaluation data. At first, an intake orifice noise was measured at the wide-open throttle test condition. And then, an acoustic transfer function between intake orifice noise and interior noise at the steady state condition was estimated. Simultaneously, subjective evaluation was carried out with a 10-scale score by 8 intake noise and vibration expert evaluators. Next, the correlation analysis between the psychoacoustic parameters derived from the measured data and the subjective evaluation was performed. The most critical factor was determined and the corresponding index for intake booming noise and sound quality are obtained from the multiple factor regression method. And, the optimal design of intake system was studied using the booming noise and the sound quality evaluation index for expectation performance of intake system. Conclusively, the optimal designing parameters of intake system from noise level and sound quality whose point of view were extracted by adapting comparative weighting between the booming noise and sound quality evaluation index, which optimized the process. These work could be represented guideline to system engineers, designers and test engineers about optimization procedure of system performance by considering both of noise level and sound quality.

Affective Factors That Contribute to the Quality of Life of Juvenile Inmates with Attention-Deficit/Hyperactivity Disorder: A Focus on Items from the Korean Youth Self Report

  • Kim, Hyesoon;Kim, Bongseog
    • Journal of the Korean Academy of Child and Adolescent Psychiatry
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    • v.30 no.4
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    • pp.161-167
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    • 2019
  • Objectives: This study investigated quality of life in Korean juvenile inmates with attention-deficit/hyperactivity disorder (ADHD) and the impact of behavioral and emotional problems on quality of life. Methods: In total, 200 inmates were evaluated using the Korean version of the Mini-International Neuropsychiatric Interview (K-MINI) and the Korean version of the Kiddie-Schedule for Affective Disorders and Schizophrenia-Present and Lifetime (K-SADS-PL-K). We extracted the inmates with ADHD and evaluated their quality of life, behavioral problems, and emotional problems with the Pediatric Quality of Life Inventory (PedsQL) and the Korean Youth Self Report (K-YSR) scale. Descriptive statistics, Pearson correlation analysis, and multiple regression analysis were conducted. Results: Among the 200 total inmates, 68 were diagnosed with ADHD by the K-SADS-PL-K. Most of the correlations between PedsQL scores and K-YSR items were significant. Multiple regression analysis showed that PedsQL could be predicted by affective problems (among the DSM-oriented scales of the K-YSR) and attention problems (among the syndrome scales of the K-YSR). Conclusion: Our results demonstrate that, among juvenile inmates with ADHD, quality of life was negatively correlated with most behavioral and emotional problems. Meanwhile, the significant influence of affective and attention problems on inmates' quality of life suggests the necessity of comprehensive treatments for this group.