• Title/Summary/Keyword: Stepwise multiple regression analysis

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Organizational Commitment and Its Related Factor among Medium Hospitals of Nurses (종합병원 간호사의 조직몰입과 관련요인)

  • Lee, Young-Mee
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.12 no.11
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    • pp.4764-4769
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    • 2011
  • This study intends to investigate the organizational commitment and Its related factors among medium hospital of nurses. The collected data were analyzed descriptive statistics, t-test, ANOVA, Scheffe's test, Pearson correlation coefficient and stepwise multiple regression using SPSS 19.0 Program. The score of level of organizational commitment was statistically significant difference according to working period, marital state, monthly income, personality, night-duty. The score of organizational commitment level correlated positively with job satisfaction and burnout. Stepwise multiple regression analysis for organizational commitment level revealed that the most powerful predictor was burnout, job satisfaction and night-duty explained 49.5% of the variance. Therefore, It suggested that goal of increasing nurses' organizational commitment in hospital should be helped them raise job satisfaction and decrease nurses' burnout and night duty.

Operational Factors Affecting Productivity of Foodservice System in Selected Hospitals (병원급식이 생산성에 영향을 미치는 요인분석)

  • 양일선
    • Journal of Nutrition and Health
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    • v.26 no.3
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    • pp.357-366
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    • 1993
  • The purposes of this study were to investigate the operational affecting productivity in hospital foodservice, and to examine the relationships between operational factors affecting productivity. The 28 hospitals over 400 beds in Seoul were mailed questionnaires assessing the factors that affect productivity in hospital foodservice(23 hospitals responded). Data analyses included descriptive statistics. Pearson product moment correlation analysis, and stepwise multiple regression analysis. The result of Pearson product moment correlation analysis indicated that the percentage of patient meals was significantly correlated to the productivity (r=.5560, p<.01). Stepwise multiple regression analysis indicated that the percentage of patient meals and the average work hours of employees were significant predictors of the operational factors at productivity.

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A Multivariate Analysis of Korean Professional Players Salary (한국 프로스포츠 선수들의 연봉에 대한 다변량적 분석)

  • Song, Jong-Woo
    • The Korean Journal of Applied Statistics
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    • v.21 no.3
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    • pp.441-453
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    • 2008
  • We analyzed Korean professional basketball and baseball players salary under the assumption that it depends on the personal records and contribution to the team in the previous year. We extensively used data visualization tools to check the relationship among the variables, to find outliers and to do model diagnostics. We used multiple linear regression and regression tree to fit the model and used cross-validation to find an optimal model. We check the relationship between variables carefully and chose a set of variables for the stepwise regression instead of using all variables. We found that points per game, number of assists, number of free throw successes, career are important variables for the basketball players. For the baseball pitchers, career, number of strike-outs per 9 innings, ERA, number of homeruns are important variables. For the baseball hitters, career, number of hits, FA are important variables.

Studies on the Chemical Compositions and Distributions of Ambient Sumicron Aerosols (Submicron 부유분진의 화학적 조성 및 분포에 관한 연구)

  • 황인조;김동술
    • Journal of Korean Society for Atmospheric Environment
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    • v.14 no.1
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    • pp.11-23
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    • 1998
  • The purpose of this study was to survey chemical distribution of inorganic elements and ions in the submicron particles, to characterize qualitatively emitting sources by factor analysis, and finally to reveal existing patterns in terms of chemical compounds by a stepwise multiple regression analysis. Total of 141 samples were collected by a cascade impactor from 1989 to1996. Fifteen chemical species (Al, Ba, Cd, K, Pb, Cu, Fe, Ni, $Cl^-, NO_3^-, SO_4^{2-}, K^+, Mg^{2+}, Ca^{2+}, and Na^+$) were characterized by AAS and IC. The study showed that average seasonal levels of submicron particulate matters $(d_p<0.43 \mum)$ were 18.7 $\mug/m^3$ in spring, 15.5 $\mug/m^3$ in summer, 15.7 $\mug/m^3$ in fall, and 24.5 $\mug/m^3$ in winter, respectively. All of the anion concentrations in the particle were highest in the winter season. By applying a factor analysis, 5 source patterns were qualitatively obtained, such as sulfate related source, nitrate related source, oil burning source, calcium related source, and coal combustion source. Finally, when applying a stepwise multiple regression analysis, the results clearly showed that $Na^+ and Ca^{2+}, K^+ and Ca^{2+}, NO_3^-$ and relative humidity, $Cl^-$ and ambient temperature, $Ca^{2+} and Cl^-, Mg^{2+} and SO_4^{2-}, Na^+ and NO_3^-, and Ca^{2+} and NO_3^-$, respectively, are negatively contributed to each other. As a result of those statistical analysis, we could suggest that some chemical compounds in the submicron particles such as$NaNO_3, MgSO_4, Ca(NO_3)_2, and CaCl_2$ may not exist on the filter as final composing products; however, other compounds may possibly exist in the form of $Mg(NO_3)_2, CaSO_4, Na_2SO_4, K_2SO_4, MgCl_2, NaCl, and KCl$. Thus, it must be necessary to identify differences between the results of above statistical analysis and of the real world by laboratory experiments.

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A Study on the Coping Strategies and Marital Satisfaction of Dual-Earner Men and Women Across the Family Life Cycle (가족생활주기에 따른 맞벌이 남녀의 대처전략과 결혼만족도 연구)

  • Lee, Eun-Hee
    • Korean Journal of Social Welfare
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    • v.45
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    • pp.288-314
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    • 2001
  • The purpose of this study is to examine the strategies that may influence the marital satisfaction of dual-earner men and women. General linear model, Pearson's correlation analysis, Stepwise multiple regression were employed for data analysis. the subjects are 396 dual-earner men and women. The result from the research were as follows: 1) coping strategy use differs significantly by life cycle stage. 2) The following strategies significantly correlated with the level of marital satisfaction: cognitive restructuring, delegation. using social support, modifying standards, personal time reducing. 3) The result of stepwise multiple regression analysis indicated that strategies which predict the level of marital satisfaction were cognitive restructuring, delegating, using social support, personal time reducing. these finding give us significant practical implications for social work intervention.

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Use of big data for estimation of impacts of meteorological variables on environmental radiation dose on Ulleung Island, Republic of Korea

  • Joo, Han Young;Kim, Jae Wook;Jeong, So Yun;Kim, Young Seo;Moon, Joo Hyun
    • Nuclear Engineering and Technology
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    • v.53 no.12
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    • pp.4189-4200
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    • 2021
  • In this study, the relationship between the environmental radiation dose rate and meteorological variables was investigated with multiple regression analysis and big data of those variables. The environmental radiation dose rate and 36 different meteorological variables were measured on Ulleung Island, Republic of Korea, from 2011 to 2015. Not all meteorological variables were used in the regression analysis because the different meteorological variables significantly affect the environmental radiation dose rate during different periods, and the degree of influence changes with time. By applying the Pearson correlation analysis and stepwise selection methods to the big dataset, the major meteorological variables influencing the environmental radiation dose rate were identified, which were then used as the independent variables for the regression model. Subsequently, multiple regression models for the monthly datasets and dataset of the entire period were developed.

Identifying Factors Affecting Dental University Hospitals' Profitability (치과대학병원 수익성에 영향을 미치는 요인 분석)

  • Lee, Ji-Hoon;Kim, Seong-Sik
    • Korea Journal of Hospital Management
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    • v.26 no.2
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    • pp.17-26
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    • 2021
  • Purposes: This study aims to identify factors affecting dental university hospitals' profitability and understand recent their business condition. Methodology: Data from 2016 to 2019 was collected from financial statement, public open data in 8 dental university hospitals. For the study, multiple regression test with stepwise selection was applied. Findings: First of all, 9 out of 19 independent variables were selected by stepwise selection. As a result of multiple regression test with selected independent variables and the dependent variable(operating profit margin ratio), the factors affecting hospitals' profitability were the number of dental unit chair, hospital location, debt ratio, total capital turnover ratio, employment cost rate, material cost rate, management expense rate, the number of patient per a dentist. Practical Implication: To improve dental university hospitals' profitability, hospitals specifically analysis and manage their cost such as employment, material and management cost and seek effectiveness by managing the proper number of patient per a dentist.

Relationship between Eating Disorders, Physical Symptoms, Depression and Health Locus of Control among Elementary School Girls in South Korea (초등학교 여학생의 섭식장애, 신체증상, 우울 및 건강통제위에 관한 연구)

  • 성미혜
    • Journal of Korean Academy of Nursing
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    • v.34 no.3
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    • pp.576-585
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    • 2004
  • Purpose: The purpose of this study was to identify the relationship between eating disorders, physical symptoms, depression and health locus of control. Method: The research design was a descriptive study done by using a constructive self-report questionnaire. A total of 464 elementary school girls were measured. The instrument was a constructive questionnaire that consisted 136 items. The subjects were divided into 4 groups according to the Body Mass Index (BMI). Data analysis was done by SPSS/WIN Programs using frequency, percentage, mean, SD, ANOVA, Pearson correlation coefficient, and stepwise multiple regression. Result: The score of eating disorders differed significantly by BMI : the score was highest in the group of obese students(F=4.208, P=.015). Stepwise multiple regression analysis revealed that the most powerful predictor of eating disorders was BMI. Conclusion: These results indicate that Korean elementary school girls need more education and counseling on diet. Also, we should take systematic efforts to reestablish the social standard of beauty to promote normal growth development.

The Longitudinal Study of Diet and Sexual Maturity as a Determinant of Obesity for Adolescents

  • Young-Ok Kim;Yoon-Sun Choi
    • Korean Journal of Community Nutrition
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    • v.3 no.5
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    • pp.679-684
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    • 1998
  • This study was conducted to investigate the determinants of obesity during adolescnece. A total of 726 adolescents living in rural areas in Korea had been observed for four years from 1992 to 1996 regarding their diet, sexual maturity, blood profile and physical growth. Stepwise multiple regression analysis was used to identify priorities fo the importance between the factors influencing obesity. The average nutrient intake over the three year period was higher than that of the Korean Recommended Dietary Allowances. The prevalence of obesity for the subjects based on BMI was 9.5%. Results of the stepwise multiple regression analysis showed that blood components and sexual maturity were more significant factors for determining the obesity than the dietary factors. The result may suggest that to understand obesity in children it is necessary to develop on analytical model for the children rather than using the existing analytical model developed mostly for adult patients of obesity. The model should include a wide range of variables such as diet, sexual maturity and changes in blood.

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Influential Factors on Depression among Male and Female High School Students (남녀 고등학생의 우울관련 요인)

  • Choi, Mi-Kyoung
    • The Journal of Korean Society for School & Community Health Education
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    • v.14 no.3
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    • pp.51-65
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    • 2013
  • Objectives: The main purpose of this study was to compare influencing factors on depression between male and female students at the high school. Methods: The self-administered questionnaire survey was carried out on a convenience sample of 403 high school students. The data analysis procedure included frequency, ${\chi}^2$ test, t-test, ANOVA, Pearson correlation coefficients, and stepwise multiple regression using depression as the dependent variable. Results: There was a significant gender difference in depressive symptoms; the mean depression score of female students was higher than that of male students. Stepwise multiple regression analysis for depression revealed that the most powerful predictors (34%) were powerlessness and self-esteem for male students. On the other hand, the factors such as self-esteem, mother's occupation, and family fucntion were the most significant predictors (50%) for female students. Conclusion: The necessity of an intervention considering gender difference in high school students so as to prevent the occurrence of depression was suggested.

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