• 지역사회간호학회지
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• 제23권3호
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• pp.296-306
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• 2012

Purpose: This study was conducted to measure the relationships between ecological factors and Navy personnel's physical activity (PA) based on McLeroy's Ecological model. Methods: A cross-sectional survey was conducted with a convenience sample of 184 Navy personnel working in 10 Navyships. A self-reporting questionnaire consisted of measures of intrapersonal, interpersonal, organizational and community factors related to Navy personnel` s PA. Data were analyzed by descriptive statistics, $x^2$-test, t-test, analysis of variance, and hierarchical multiple regression using SPSS/WIN 17.0 programs. Results: Their mean PA level was $2,848.1{\pm}3,344.5$ MET-min/week, and mostly moderate level (50.5%). Hierarchical multiple regression analysis showed that religion, working department, working type, perceived health status and community environment were significant PA correlates. Conclusion: Community environmental factors as well as intrapersonal factors were significantly associated with Navy personnel's PA, indicating that community health nurses should expand an approach for individual-level behavioral change to incorporate Navy personnel specific community environmental barriers into PA interventions.

• 국제학술발표논문집
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• The 3th International Conference on Construction Engineering and Project Management
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• pp.1140-1147
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• 2009

Productivity measurement of construction machinery is a significant issue faced by many contractors especially those involved in earthwork projects. Traditionally, equipment production rate has been estimated using data available in manufacturers' catalogues, results of previous construction projects, or personal experience and assessments of the site personnel. Actual production rates obtained after the completion of a project demonstrate the fact that most of these methods fail to provide accurate results and as a direct consequence, may lead to unrealistic project cost estimations prepared by the contractors. What makes this more critical is that in most cases, inadequate cost estimations lead the entire project to exceed the initial budget or fall behind the schedule. In this paper, a linear regression method to estimate bulldozer productivity is introduced. This method has been developed using SPSS-16 software package. The presented method is used to estimate the productivity of Komatsu D-155A1 series which is commonly used in many earthmoving operations in Iran. The data required for the numerical analysis has been collected from actual site observation and productivity measurement of 60 pieces of D-155A1 series currently being used in several earthmoving projects in Iran. Comparative analysis of the output data of the presented regression method and the existing productivity tables provided by the manufacturer shows that when compared to the actual productivity data collected on the jobsite, a significant increase in accuracy and a remarkable reduction of data variance can be achieved by using the presented regression method.

• The Journal of Asian Finance, Economics and Business
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• 제8권3호
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• pp.905-915
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• 2021

This study examines the relationship between financial behavior, financial literacy, self-efficacy, and self-coping among emerging adults. The study population is 790 respondents from 11 Credit Counselling and Debt Management (CCDM). Statistical Package for Social Science (SPSS) was used to analyze Pearson Correlation and Multiple regression. It was used to determine the relationships and recognize determinants of emerging adults' financial behavior respectively. In this study, financial literacy, self-efficacy, self-coping, and financial behavior variables were entered into the regression. A total of 790 respondents aged 40 and below were selected. An independent sample t-test was administered to compare the financial behavior scores for females and males. The results reveal that there was significant difference in the mean of financial behavior scores for females (M = 87.20, SD = 18.00) and males (M = 89.70, SD = 16.80; t (765) = 2.010, p = 0.045, two-tailed). The multiple regression results indicate that the model explained 13.4% of the variance in financial behavior, which is predicted significantly by the model (F = 38.361, p = 0.000). This study will be beneficial to policymakers to improve living conditions and to promote good financial behavior, financial literacy, self-efficacy as well as self-coping especially for emerging adults in Malaysia.

• 시큐리티연구
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• 제39호
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• pp.217-239
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• 2014

이 연구의 목적은 사회유대이론, 일반긴장이론, 사회학습이론에서 제안된 변인들을 사용하여 청소년 지위비행의 원인을 밝히는 데 있다. 이를 위해 한국청소년정책연구원에서 조사한 아동 청소년패널 3차년도 중3학년 2,337명의 표본자료를 사용하였다. 세 가지 이론에서 추출된 각 각의 독립변인들이 단독으로 청소년 지위비행을 어느 정도 설명하는지를 살펴 본 다중회귀분석에서 사회학습이론의 두 가지 변인들의 설명력이 가장 높았으며, 그 다음으로 사회유대이론이고 일반긴장이론의 변인들은 청소년 지위비행을 거의 설명하지 못하는 것으로 나타났다. 특히 회귀방정식에서 투입된 사회학습이론의 변인들은 일반긴장 이론과 사회유대이론에서 추출된 독립변인의 수보다 3.5배-5.5배 부족함에도 불구하고 설명력은 가장 뛰어난 것으로 나타났다. 분석에 사용된 이론들은 청소년 비행 및 범죄의 원인을 잘 설명하는 이론으로 알려져 있지만, 이전 까지는 각 이론들이 단독으로 그 영향력을 파악하는 수준에 그쳤다. 그러나 이론의 상대적 영향력을 파악하기 위해서는 각 이론들을 동시에 적용하여 경험적으로 검증할 필요가 있는데, 본 연구는 이런 필요성에 부합한 연구를 수행했다는 점에서 중요한 의미를 가진다.

• 국제학술발표논문집
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• The 3th International Conference on Construction Engineering and Project Management
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• pp.417-424
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• 2009

For a construction project to progress smoothly, effective cost estimation is vital, particularly in the conceptual and schematic design stages. In these early phases, despite the fact that initial estimates are highly sensitive to changes in project scope, owners require accurate forecasts which reflect their supplying information. Thus, cost estimators need effective estimation strategies. Practically, parametric cost estimates are the most commonly used method in these initial phases, which utilizes historical cost data (Karshenas 1984, Kirkham 2007). Hence, compilation of historical data regarding appropriate cost variance governing parameters is a prime requirement. However, precedent practice of data mining (data preprocessing) for denoising internal errors or abnormal values is needed before compilation. As an effort to deal with this issue, this research proposed a statistical methodology for data preprocessing and verified that data preprocessing has a positive impact on the enhancement of estimate accuracy and stability. Moreover, Statistically Preprocessed data Based Parametric (SPBP) cost models are developed based on multiple regression equations and verified their effectiveness compared with conventional cost models.

• 우울조울병
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• 제10권1호
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• pp.31-36
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• 2012

Objectives : The aim of this study was to investigate the relationship between depressive symptom, spiritual well-being and state hope in early adults and middle aged patients with depression. Methods : A total of 180 outpatient were surveyed with Beck Depression Inventory (BDI), Functional Assessment of Chronic Illness Therapy-Spiritual Well-being Scale (FACIT-Sp) and The State Hope Scale (SHS). Mean scores of BDI, FACIT-Sp and SHS were compared between two groups of different age. Correlation analysis and multiple linear regression analyses were performed to identify the effect of BDI and FACIT on SHS according to age. Results : Mean scores of SHS and FACIT were higher significantly in middle aged group than early adults group, while BDI was not different between two groups. And early adults and middle aged patient's state hope showed a significantly negative correlation with spiritual well-being. In regression analysis, the effect of BDI, FACIT on SHS were significant in both groups and the regression model explained 42% of the variance of state hope in early adults group and 26% in middle aged group, respectively. Conclusion : These findings suggest that in depressive symptom and low state hope relationship, spirituality is important protective factor in both aged adult outpatients with depression.

• 대한간호학회지
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• 제46권5호
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• pp.744-752
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• 2016

Purpose: This study was done to investigate factors influencing successful aging in middle-aged women. Methods: A convenience sample of 103 middle-aged women was selected from the community. Data were collected using a structured questionnaire and analyzed using descriptive statistics, two-sample t-test, one-way ANOVA, Kruskal Wallis test, Pearson correlations, Spearman correlations and multiple regression analysis with the SPSS/WIN 22.0 program. Results: Results of regression analysis showed that significant factors influencing successful aging were post-traumatic growth and social support. This regression model explained 48% of the variance in successful aging. Conclusion: Findings show that the concept 'post-traumatic growth' is an important factor influencing successful aging in middle-aged women. In addition, social support from friends/co-workers had greater influence on successful aging than social support from family. Thus, we need to consider the positive impact of post-traumatic growth and increase the chances of social participation in a successful aging program for middle-aged women.

• 한국농공학회논문집
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• 제61권5호
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• pp.101-108
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• 2019

The domestic duck industry is the sixth-largest among the livestock industries. However, 34.3% of duck houses were the duck houses arbitrarily converted from plastic greenhouses. This type of duck house was difficult to properly manage internal air temperature and humidity environment. Humidity environment inside duck houses is an important factor that directly affects the productivity and disease occurrence of the duck. Although the humidity environments of litters (bedding materials) affect directly the inside environment of duck houses, there are only few studies related to humidity environment of litters. In this study, evaporation rates from litters were evaluated according to air temperature, relative humidity, water contents of litters, and wind speed. The experimental chamber was made to measure evaporation rates from litters. Temperature and humidity controlled chamber was utilized during the conduct of the laboratory experiments. Using the measured data, a multi linear regression analysis was carried out to derive the calculation formula of evaporation rates from litters. In order to improve the accuracy of the multi linear regression model, the partial vapor pressure directly related to evaporation was also considered. Variance inflation factors of air temperature, relative humidity, partial vapor pressure, water contents of litters, and wind speed were calculated to identify multicollinearity problem. The Multiple $R^2$ and adjusted-$R^2$ of regression model were calculated at 0.76 and 0.71, respectively. Therefore, the regression models were developed in this study can be used to estimate evaporation rates from the litter of duck houses.

• 한국간호교육학회지
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• 제27권2호
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• pp.163-174
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• 2021

Purpose: This study aims to identify factors influencing the stigma communication concerning HIV (Human Immunodeficiency Virus)/AIDS (Acquired Immune Deficiency Syndrome) patients between health and medical college students. Methods: In this descriptive study, the participants were 158 college students from a certain university. Data were collected from September 18 to September 30, 2018. Self-reported questionnaires were used to measure AIDS-related knowledge, homosexual awareness, fear of HIV/AIDS patients and stigma communication. The collected data were analyzed with descriptive statistics, an independent t-test, one way analysis of variance, Pearson's correlation and a stepwise multiple regression analysis using the SPSS 23.0 program. Results: The factors influencing the stigma communication between health and medical college students were a fear of HIV/AIDS patients (β=.47, p<.001) and homosexual awareness (β=-.15, p=.040), which together explained 28.0% of the variance in the model. Conclusion: The study findings suggest that an education program for health and medical college students should be developed. Additionally, when designing the education program, it is recommended that the contents for inducing attitude changes should include affective areas as well as knowledge-oriented contents. The study suggests that it is necessary to provide a systematic education program to decrease the stigma for HIV/AIDS patients before health care providers enter clinical practice.

• Journal of Periodontal and Implant Science
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• 제26권3호
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• pp.689-699
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• 1996

The purpose of this research is to determine elements affecting the out-of-pocket cost of woman. The sample consisted of 1907 women living Iksan city. The survey was conducted by means of questionnaires. The model used in the analysis of out-of-pocket cost was the Andersen-Newman model, while the analysis techniques used were stepwise multiple regression and path analysis. The number of independent variables used in the analysis was 28 in total, ie 19 predisposing components, 6 enabling components, and 3 need components. In this study, the amount of variance by the model was 17 percent. Number of restricted activity days caused by oral disease, perceived susceptibility of dental disease, having a regular dental care, dental treatment costs, education level and income were found to have significant major effects on out-of-pocket cost. Number of restricted activity days caused by oral disease was the most important variable affecting out-of-pocket cost of woman. Also out-of-pocket cost shows larger effect due to enabling components than frequency of dental utilization.