• Journal of East-West Nursing Research
• /
• v.25 no.1
• /
• pp.33-40
• /
• 2019

Purpose: The purpose of this study was to identify factors that affect care left undone among newly graduated nurses. Methods: Participants were 236 newly graduated nurses with less than 1 year of experience from 5 general hospitals in Busan. Self-report questionnaires were completed by nurses between October and November, 2016. Data were analyzed using t-test, ANOVA and multiple regression analysis with the SPSS/WIN 25.0 Program. Results: The mean score for care left undone was $2.18{\pm}1.43$. Factors influencing care left undone were monthly income and working environment. Regression analysis showed that working environment and monthly income explained 11.0% of the variance while controlling for participants' demographics and work characteristics. Conclusion: The findings suggest that better working environment and appropriate monthly income are important to reduce care left undone in hospitals. The quality of nursing and patient safety may be ensured by reducing care left undone.

• Journal of the Korean Dietetic Association
• /
• v.13 no.1
• /
• pp.38-49
• /
• 2007

The purpose of this study was to determine the attributes and factors of brand personality for contract foodservice management companies. Self-administered questionnaires were distributed to five students at universities operating under the top five companies in contract foodservice management. The following statistical analyses were conducted for the data assessment: descriptive analysis, t-test, ANOVA, reliability analysis, and factor analysis, using the SPSS Win(12.0) package program. From these analyses we divided a company's brand personality into the following five functional and emotional elements: sensibility, sincerity, confidence, competence, and excitement. Based on these five elements a total of 26 scales were developed to measure brand attributes of the companies. The variance was explained by 19.29% of sensibility, 17.65% of sincerity, 15.71% of confidence, 14.06% of competence, and 13.62% of excitement. The calculated Cronbach's alpha was more than .90 for all the scales measuring the five attributes, indicating good internal consistency. There were significant differences in sensibility(p<.01), sincerity(p<.001), creditability(p<.01), competence (p<.001), and excitement(p<.001) among the companies. In regards to overall brand personality, company a had a higher mean score for sincerity, while the other companies had higher mean scores for competence. Among the brand personalities, 'confidence' had the highest mean score with 3.36, followed by 'cooperation' (3.17), 'successful'(3.12), 'leadership'(3.11), and 'down-to-earth'(3.02).

• Journal of Technologic Dentistry
• /
• v.39 no.2
• /
• pp.101-107
• /
• 2017

Purpose: The purpose of this study was to compare the shear bond strength of the metal-heat pressed glass ceramic bilayer structure. Methods: Metal framework specimens were prepared and surface is spreaded opaque(IPS InLine system opaque, IvoclarVivadent, Liechtenstein). There were 10 specimens for each bilayer dental ceramic group. The first group was porcelain fused metal, Press on metal IPS Inline press group, and press on metal HASS prototype group. Specimens measured for the shear bond strength on Schwickerath test by Instron universal testing machine(Instron3345, Instron Corp., USA). Mean average bond strength values of each specimen group were analyzed using a one-way ANOVA analysis of variance Saphiro-wilk's test. Statistical analysis were performed using IBM SPSS 23.0(IBM Co., Armonk, USA) Results: $RMS{\pm}SD$ The highest mean average HASS POM showed a bond strength value ($47.55{\pm}12.80Mpa$). The lowest mean average values Porcelain fused metal ($33.30{\pm}2.00Mpa$). Independent t-test was conduct to analysis the significant difference (p<0.05) (Table 3). Conclusion: Three kinds of Metal/ glass bilayer dental ceramics bond strength were clinical acceptability. Especially, as lithium disilicate containing represents higher bond strength.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.10 no.3
• /
• pp.37-48
• /
• 1986

The purpose of this study was to analyze 'the natural groupings' of subjects in order to classify highly similar somatotype for clothing construction. The sample for the study was drawn randomly out of senior high school boys in Seoul urban area. The sample size was 425 boys between age 16 and 18. Cluster analysis was more concerned with finding the hierarchical structure of subjects by three dimensional distance of stature. bust girth and sleeve length. The groups forming a partition can be subdivided into 5 and 6 sets by the hierarchical tree of the given subjects. Ward's Minimum Variance Method was applied after extraction of distance matrix by the Standardized Euclidean Distance. All of the above data was analyzed by the computer installed at Korea Advanced Institute of Science and Technology. The major findings, take for instance, of 16 age group can be summarized as follows. The results of cluster analysis of this study: 1. Cluster 1 (32 persons means $18.29\%$ of the total) is characterized with smaller bust girth than that of cluster 5, but stature and sleeve length of the cluster 1 are the largest group. 2. Cluster 2 (18 Persons means $10.29\%$ of the total) is characterized with the group of the smallest stature and sleeve length, but bust girth larger than that of cluster 3. 3. Cluster 3(35persons means $20\%$ of the total) is classified with the smallest group of all the stature, bust girth and sleeve length. 4. Cluster 4(60 persons means $34.29\%$ of the total) is grouped with the same value of sleeve length with the mean value of 16 age group, but the stature and bust girth is smaller than the mean value of this age group. 5. Cluster 5(30 persons means $17.14\%$ of the total) is characterized with smaller stature than that of cluster 1, and with larger bust girth than that of cluster 1, but with the same value of the sleeve length with the mean value of the 16 age group.

• Journal of the Korean Data and Information Science Society
• /
• v.24 no.6
• /
• pp.1285-1296
• /
• 2013

The fundamental concerns of this paper are to analyze the effects of student course evaluation using subject characteristic and student characteristic variables. We use a 2-level hierarchical linear model since the data structure of subject characteristic and student characteristic variables is multilevel. Four models we consider are as follows; (1) null model, (2) random coefficient model, (3) mean as outcomes model, (4) intercepts and slopes as outcomes model. The results of the analysis were given as follows. First, the result of null model was that subject characteristics effects on course evaluation had much larger than student characteristics. Second, the result of conditional model specifying subject and student level predictors revealed that class size, grade, tenure, mean GPA of the class, native class for level-1, and sex, department category, admission method, mean GPA of the student for level-2 had statistically significant effects on course evaluation. The explained variance was 13% in subject level, 13% in student level.

• Korean Journal of Human Ecology
• /
• v.22 no.1
• /
• pp.57-74
• /
• 2013

The purpose of this study was to identify how age-identity is associated with the attitude toward the elderly and self-esteem of the aged. The subjects were 366 adults aged 60 and over. The statistics used for the data analysis were reliability test, frequency, percentage, mean, standard deviation, one way ANOVA, correlation and multiple regression. The results of this study were as follows; First, The majority of elderly acknowledged psychological ages as their actual ages. Secondly, The degrees of elderlys' age-identity was 2.12, and the levels of the attitude toward the elderly was 60.62. Also, The degrees of elderlys' self-esteem was 24.16. The surveyed data showed higher means than medians. Third, The age-identity of elderly was significant with respect to spouse, religion, career, living state, sex, age, gap of actual age, health state, economic state, education, monthly living expenses. And the attitude toward the elderly was stastically significant with respect age-identity, career, spouse, religion, living state, health state, education, monthly living expenses, economic state, gap of actual age, and age. Moreover, The elderlys' self-esteem level was significant with respect to spouse, age-identity, living state, religion, career, economic state, monthly living expenses, the attitude toward the elderly, health state, education, and age. Finally, The variables affecting the age-identity of elderly were health state, economic state, religion, age that explained about 34% of the total variance. And The attitude toward the elderly were age-identity, health state, gap of actual age that explained about 19% of the total variance. Also, The variables that affect elderlys' self-esteem were economic state, age-identity, the attitude toward the elderly, sex, monthly living expenses that explained about 33% of the total variance.

• The Korean Journal of Applied Statistics
• /
• v.18 no.2
• /
• pp.311-328
• /
• 2005

This paper deals with a treatment of nonresponse in farm and fishery household economy surveys in Korea. Since the samples in two surveys were selected by stratified multi-stage sampling and weighted sample means has been used to estimate the population means, we choose a weighted hot-deck imputation method as an appropriate method for two surveys. We investigate the procedure of the weighted hot-deck as well as an adjusted jackknife method for variance estimation. Through an empirical study we found that the method worked very well in both mean and variance estimation in two surveys. In addition, we presented a procedure of forming imputation class and formed four imputation classes for each survey and then compared them with analysis. As a result, we presented two most efficient imputation classes for two surveys.

• Journal of the Institute of Electronics and Information Engineers
• /
• v.52 no.10
• /
• pp.73-81
• /
• 2015

The paper proposes a prototype selection method and evaluates the generalization performance of standard algorithms and prototype based classification learning. The proposed prototype classifier defines multidimensional spheres with variable radii within class areas and generates a small set of training data. The nearest-neighbor classifier uses the new training set for predicting the class of test data. By decomposing bias and variance of the mean expected error value, we compare the generalization errors of k-nearest neighbor, Bayesian classifier, prototype selection using fixed radius and the proposed prototype selection method. In experiments, the bias-variance changing trends of the proposed prototype classifier are similar to those of nearest neighbor classifiers with all training data and the prototype selection rates are under 27.0% on average.

• Economic and Environmental Geology
• /
• v.53 no.2
• /
• pp.167-181
• /
• 2020

Analysis of variance (ANOVA) and multiple comparison analysis were performed for shear strengths categorized by breccia content of 5 wt.% (Case-I), 10 wt.%, (Case-II) and 15 wt.% (Case-III) in fault cores. The relationship between breccia contetnt and shear strength was quantitatively classified by calculating the mean and standard deviation of shear strength for each population in each case and then the grouping the breccia contents that had a statistically similar effect on the dispersion of shear strength. As a result, shear strength was clearly classified into group 1 (breccia content of 0-15 wt.%) and group 2 and 3 (breccia coantent of 15-30 wt.% and 30 wt.% or more) in Case-III. Shear strength of the standard line at breccia content of 15 wt.% were determined to be 43.6 kPa, 77.6 kPa, and 118.6 kPa at each normal stress (54 kPa, 108 kPa, and 162 kPa), respectively. In addition, the distribution range of cohesions is 0-43.6 kPa at breccia content of 15 wt.% or less, and 0-70.0 kPa at 15 wt.% or more. Distribution range of friction angles is 0-45.7 ° at breccia content of 15 wt.% or less, and 16.7-57.5 ° at 15 wt.% or more.

• Journal of The Korean Society of Grassland and Forage Science
• /
• v.36 no.3
• /
• pp.248-256
• /
• 2016

The present study investigated the effect of enzyme inclusion on silage quality using meta-analysis tool. A total of 16 research papers reporting the effect of enzyme application on silage quality were employed in the meta-analysis of this study. Mixed model for integrating quantitative results from multiple studies was used first to calculate the predicted error of each study. Individual error from the estimated model was the applied into standard deviation of each study to calculate the mean difference. Finally, summary effect was determined using standard mean difference (SMD) and inversed variance weighting. Mixed model analysis and SMD analysis showed the same effect patterns in all analysis items. Enzyme inclusion in silage significantly (p < 0.05) altered all silage quality characteristics investigated compared to control when enzyme was not included. Our results showed that enzyme treatment increased dry matter content, preserved crude protein effectively, and elevated water soluble carbohydrate content. However, the pH value, acetic acid, propionic acid, neutral detergent fiber, and acid detergent fiber contents in silage with enzyme inclusion were lower than those of the control.