• Title/Summary/Keyword: Variance of Analysis

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The Effect of Sustainability on the Satisfaction of Local Festivals in Gangwon Province (강원도 지역축제 지속성이 만족도에 미치는 영향)

  • Yun, Suk-Ju;Lim, Yeon-Jeong
    • Industry Promotion Research
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    • v.2 no.1
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    • pp.77-83
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    • 2017
  • The purpose of this study is to analyze the effect of sustainability of festival in Gangwon province on satisfaction. A total of 243 questionnaires were analyzed for the tourists participating in the Gangwon - do area festival. Using SPSS Statistics 20, we conducted frequency analysis, factor analysis, reliability analysis, correlation analysis, regression analysis, and ANOVA (Variance Analysis of Variance among Respondents). The results of this study are as follows. First, the satisfaction of the local festival persistence in Gangwondo area festival was found to be higher when the service satisfaction, program satisfaction, and red general satisfaction were higher in the regional festival sustainability. And it was analyzed to have a statistically significant effect. Second, there was no statistically significant effect of participating motivation on the program festival. Third, the correlation between the persistence of local festivals and the satisfaction of the local specialties was higher in R = .812, and the t value was 21.569 (p = .000) Respectively. The purpose of this study was to examine the effect of personal factors on regional festival tourists' satisfaction with regional festival sustainability and participatory motivation for service satisfaction, program satisfaction, There is a significance of research.

A Study on the Differentiation of Women with Perimenstrual Symptom Severity and Perimenstrual Distress Patterns (월경 전후기 증상 정도 및 월경고통 유형 판별요인)

  • Park, Young-Joo;Ryu, Ho-Shin
    • Women's Health Nursing
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    • v.4 no.1
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    • pp.123-138
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    • 1998
  • The purpose of this study was to describe perimenstrual symptom severity levels and perimenstrual distress patterns of women. The study performed the discriminant analysis in which included seven factors : age, pariety, social support, menstrual socialization(mother's symptom, sister's symptom, and menstrual effect), attitude of sex role and depression. The subjects were 283 women that they were not pregnant or lactating, had at least one period in past three months, would understand the purpose of study and willingly accepted the participation. The data analysis was done by pc-SAS program after data collection from Nov. 20, 1997 to Dec. 18, 1997. The descriptive analysis was done to explore general characteristics of the subjects and the stepwise discriminant analysis was done to verify factors in relation to perimenstrual symptom severity levels(severe vs mild menstrual symptom group) and perimenstrual distress patterns(spasmodic vs congestive menstrual symptom group). The instruments were selected for this study from Interpersonal Support Evaluation List(ISEL) by Cohen and Hoberman(1983), Center for Epidemic Studies Depression(CES-D) by Radloff(1977), and Sex Role Attitude Scale by Yunok Suh(1995), Mother's symptom and sister's symptom measurements by Woods, Mitchell & Lentz(1995), and menstrual effect by Brooks-Gun & Ruble(1980). The major findings of this study are as follows : 1. Of the 283 women, 93 women(32.9%) were assessed to severe perimenstrual symptom group and 190 women(67.1%) were assessed to mild perimenstrual symptom group. Results from the stepwise discriminant analysis showed three factors, such as depression, menstrual effect, and age, significantly related to perimenstrual symptom severity and they explained 20% of the total variance. The linear discriminant equation included three factors related to perimenstrual symptom groups was showed(Z=1.445 depression+0.174 menstrual effect-0.054 age). The cutting score(Z) was 2.809. We classified the severe perimenstrual symptom group by more than the cutting score 2.809 and the mild perimenstrual symptom by less or equal than the cutting score 2.809. The correctedness of posterior probability from discriminant equation was 72% as two perimenstrual symptom group classifications. 2. Of the 264 women, 139 women(52.7%) were assessed to spasmodic perimenstrual distress group and women(47.3%) were assessed to congestive perimenstrual distress group. Results from the stepwise discriminant analysis showed two factors, such as depression, age, significantly related to perimenstrual distress groups and they explained 8% of the total variance. The linear discriminant equation included two factors related to perimenstrual distress group was showed(Z=-0.084 age-0.776 depression). The cutting score(Z) was -3.759. We classified the spasmodic perimenstrual distress group by more than cutting score -3.759 and the congestive perimenstrual distress group by less or equal than cutting score -3.759. The correctedness of posterior probability from discriminant equation was 65% as two perimenstrual distress group classifications.

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The Factors Influencing on Depression of Patients for Fibromyalgia Syndrome (섬유조직염 환자의 우울에 미치는 변인)

  • 성기월;신임희;이경희
    • Journal of Korean Academy of Nursing
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    • v.33 no.5
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    • pp.609-617
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    • 2003
  • Purpose: The purpose of this study is to understand the depression of patients for Fibromyalgia Syndrome(FMS) and to identify the factors influencing depression. Method: The instruments used here are Beck Depression Inventory in depression, the Korean Rheumatology Health Association' instruments in Self-Efficacy. Also, Pain and Fatigue was measured by Visual Graphic Rating Scale. The subject of study is 76 outpatients diagnosing FMS from rheumatism specialists at C hospital in D city. The data has been collected from Sep. 1st to Sep. 30th in 2001. For the analysis of collected data, frequency analysis, independent t-test, analysis of variance, Pearson's correlation and multiple regression analysis were used for statistical analysis with SAS statistical program. Result: General characteristics showing statistically significant difference in depression were age, education, occupation, gender, exercise and sleep in the patients with FMS. Depression for the patients with FMS has negative correlation coefficients with Self-efficacy and ADL, and positive correlation coefficients with Pain and Fatigue. The suitable regression form resulting from the multiple regression analysis to investigate the influencing factors of depression for the partients with FMS was expressed by y =50.067 - 0.278x$_1$ + 1.320x$_2$ (x$_1$: Self-Efficacy x$_2$: Fatigue) and $R^2$ =0.427. Conclusion: The factors influencing on depression of patients for FMS was Self-Efficacy, ADL, Pain, and Fatigue. Further study needs to be done identify methods of overcoming and presentation of depression in FMS.

Estimation of Source Contribution of Particulate Matter in Taegu Area using Factor Analysis (다변량 통계분석법을 이용한 대구지역 부유분진의 오염원 기여도 추정)

  • 최성우;송형도
    • Journal of Environmental Health Sciences
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    • v.26 no.4
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    • pp.1-8
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    • 2000
  • The objective of this study was to identify the sources and to estimate the source contributions to the atmospheric TSP(total suspended particulate matter) and PM-10(particulate matter with aerodynamic diameters less than 10$\mu\textrm{m}$) concentration in Taegu area. A total of 84 samples was collected during the January to December 1999. TSP and PM-10 were collected on filters by portable air sampler, and heavy metals in TSP and PM-배 were analyzed by ICO(Inductively Coupled Plasma Spectrometery) after preliminary treatment. The results were follow as : First, annual average of TSP and PM-10 concentration was 123 and 69$\mu\textrm{g}$/㎥ respectively. The concentration of TSP and PM-10 were highest in winter season compared to other seasons. Second, the concentration of Al, Fe, Mn were higher in TSP than in PM-10, indicating that these heavy metals are generally associate with natural contributions. Third, metal combinations showed that a high correlation among concentrations of heavy metals were follows: As Al, Fe and Mn in TSP ; Ni, Cr, Cd and Pb in PM-10. Finally, Statistical analysis was performed using Principal Components Analysis(PCA) in order to find possible sources of the pollutants. The factor analysis was permitted to identify four major sources(soil/road dust resuspension, waste incineration, furl combustion, vehicular emission) in each fraction. These source accounted for at least 83, 85% of variance of TSP and PM-10 concentration in Taegu area.

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Physicochemical and sensory characteristics of commercial RTD cold brew coffees (RTD (Ready-to-drink) 콜드브루커피의 이화학 및 감각특성 분석)

  • Song, Young-Ju;Hwang, Hyun-Ju;Lee, Seung-Joo
    • Korean Journal of Food Science and Technology
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    • v.51 no.1
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    • pp.35-41
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    • 2019
  • The sensory characteristics of eight commercial ready-to-drink (RTD) cold brew coffees were compared by descriptive analysis. The cold brew coffee samples were analyzed for hunter color values, brown color, turbidity, pH, titratable acidity, soluble solids, total phenolic content, and chlorogenic acid content. Three appearances, nine aroma, five flavor/taste, and four texture/mouth-feel related sensory attributes were evaluated by a panel of nine judges. The results of three-way analysis of variance of descriptive data showed that all sensory attributes except "fruit" aroma, "dark chocolate" aroma, "bitter" aroma, and "sweet" taste had significant differences among the samples (p<0.05). Based on the principal component analysis (PCA) of the descriptive data, the samples were primarily separated by first and second principal components, which accounted for 81.78% of the total variance among the samples with high intensities of "nutty aroma", "grain aroma", and "grain taste" versus "earth aroma", "sour aroma", "sour taste", "astringent", "smoothness", and "residual". In the correlation analysis of sensory terms and physicochemical parameters, titratable acidity and soluble solids showed significant positive correlations with earth aroma and smoothness characteristics.

Green Consumption Behavior According to the Lifestyles of College Students (대학생 소비자의 라이프스타일에 따른 녹색소비행동에 관한 연구)

  • Kim, Hyo-Chung
    • Korean Journal of Human Ecology
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    • v.20 no.6
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    • pp.1135-1151
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    • 2011
  • This study examined green consumption behavior according to the lifestyles of college students. The data were collected from 314 college students in Yeungnam region by a self-administered questionnaire. Frequencies, Cronbach's alpha, factor analysis, cluster analysis, chi-square tests, one-way analysis of variance, Duncan's multiple range tests, Pearson's correlation analysis, and multiple regression analyses were conducted by SPSS Windows V.18.0. According to the result of factor analysis, lifestyles were categorized into six factors: thrift-saving type, enthusiastic activity type, brand ostentation type, freedom-seeking type, material oriented type, and practice-seeking type. Cluster analysis showed respondents belonged to one of four groups: thrift practice group, indifference group, freedom-seeking group, and material ostentation group. The levels of green purchase behavior, green usage behavior and green disposal behavior of the respondents was not high. The thrift practice group showed higher levels of green purchase behavior, green usage behavior, and green disposal behavior. Finally, according to multiple regression analyses, environmental consciousness, knowledge about green consumption, lifestyle groups were the significant factors affecting green consumption behaviors. These results imply that green consumption education for college students should be activated to induce green life.

A study of an analysis into effects and relations on learning performance from e-learning (이러닝 학습성과에 미치는 영향 관계 분석에 관한 연구)

  • Kwon, Yeongae;Lee, Aeri
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.16 no.2
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    • pp.69-81
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    • 2020
  • The objective of this study is to seek ways to maximize learning effects from e-learning by drawing improvement directions through investigating and analyzing an awareness of e-learning among e-learning attendees. The study was conducted among the attendees who are taking the e-learning program operated by K University and collected data from the students taking second semester in 2018 with the use of structured questionnaires. For data processing, SPSS Statistics 22.0 and AMOS were used, along with such analytical methods as frequency anslysis, descriptive statistical analysis, ANOVA (Analysis of Variance), t-analysis and cross tabulation. For significant data, it conducted an analysis by carrying out the Scheffe's test. According to the findings from this study, they showed a significant difference only in gender and curriculum desired to be opened in the question about e-learning participation motives per background factor. As for the learners' motives to study, it was confirmed that they tend to become more biased on time utilization and convenience of learning methods. The analysis of which factor of the three - learning factors, system factors and instructor's factors - has greatest effects on learning satisfaction indicated that learning factors influenced learning satisfaction the most in accordance with values for non-standard coefficient beta, followed by instructor factors which had a direct effect.

Contribution analysis using transmissibility of a vibration path (진동 전달율에 기반한 기여도 분석 방법)

  • Kim, C.J.;Bae, C.Y.;Lee, D.W.;Lee, B.H.;Kim, H.C.
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2008.11a
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    • pp.602-603
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    • 2008
  • The design modification of problematic component in a given vibration path is disallowed in order to sacrifice other performances such as ride comport or handling of a vehicle. For this, the paper presents a new contribution analysis based on transmissibility ratio (TR) of acceleration in a definite vibration path to find a proper candidate for design modification. The new contribution analysis is based on the fact that the sensitivity of TR over a small design change is inversely proportional to the magnitude of TR. The new methodology can significantly relieve efforts of time-consumming modal analysis for detail modal information. The theory of proposed contribution analysis is simulated with five-degree-of-freedom open vibration path and confirms that the contribution result is well matched with the variance of TR over a dynamic change on a vibration path.

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Functional Data Analysis of Temperature and Precipitation Data (기온 강수량 자료의 함수적 데이터 분석)

  • Kang, Kee-Hoon;Ahn, Hong-Se
    • The Korean Journal of Applied Statistics
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    • v.19 no.3
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    • pp.431-445
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    • 2006
  • In this paper we review some methods for analyzing functional data and illustrate real application of functional data analysis. Representing methods for functional data by using basis function, analyzing functional variation by functional principal component analysis and functional linear models are reviewed. For a real application, we use temperature and precipitation data measured in Korea from the January of 1970 to the May of 2004. We apply functional principal component analysis for each data and test the significance of regional division done by using shining hours. We also estimate functional regression model for temperature and precipitation.

Effects of the vocation of beauty worker on job satisfaction and self-development (미용분야 종사자의 직업소명이 직무만족과 자기계발에 미치는 영향)

  • Hong, Soo Nam
    • Journal of the Korea Fashion and Costume Design Association
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    • v.22 no.3
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    • pp.89-98
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    • 2020
  • The survey targeted 270 men and women in their from their 20s-50s who live in Seoul and Gyeonggi-do. The purpose of this study was to investigate the effect of the vocation of beauty worker on job satisfaction and self-development. The questionnaire was administered from January 5th to March 10th, 2020, and 243 responses were used for statistical analysis. 27 unanswered or unfaithful questionnaires were disregarded. Using SPSS WIN 21.0 was applied for statistical processing. First, the data was analyzed using descriptive statistical analysis, factor analysis, and reliability verification, For validity verification, one-way variance analysis, correlation analysis, and simple regression analysis were used. The results of this study are as follows. First, upon examining the hypothesis that vocation has a positive (+) effect on job satisfaction, a significant positive (+) influence was shown, and it was found that it was determined vocation is an important factor in job satisfaction for beauty industry professionals. Second, upon examining the hypothesis that vocation has a positive (+) effect on self- development, a significant positive (+) correlation was found between the self-development of beauty industry professionals and job satisfaction. Third, upon examining the hypothesis that occupational vocation has a positive (+) effect on self- development, a significant positive (+) correlation was shown between self-development and job satisfaction of beauty industry professionals.