• Survey Research
• /
• v.1 no.2
• /
• pp.89-115
• /
• 2000

The present study attempts to (1) identify the critical dimensions that affect job performance of computer programmers and (2) clarify the specific behaviors that are related to each performance dimension, and measure them fairly and accurately. In particular, this study focus on producing a Behaviorally Anchored Rating Scales(BARS) with a high level of acceptability by both raters and ratees. 422 computer programmers from 8 companies participated in the process of developing the scale, which consisted of typical 5 phases. The results demonstrated that 13 performance dimensions were derived and the final job performance rating scale was made by vertically arraying 5 representative behavior anchors ordered by their scale value for each of 13 dimensions.

• Journal of Korean Elementary Science Education
• /
• v.27 no.2
• /
• pp.144-157
• /
• 2008

The purpose of this study was to analyse the influence of mother's characteristics on elementary school students' attitudes toward science. Elementary school students (N=667) and their mothers (N=681) were selected from three other regions, big city, small city, and country. Attitudes toward science and supports for scientific activities were measured by two kinds of instruments. The instrument for the measurement of attitudes toward science includes three scales: cognition about value of science, affection toward science & science learning, and cognitive participation in scientific activities. And the instrument to measure parents' support for scientific activities includes two scales: indirect support and direct support. This research showed that mothers' various characteristics resulted in a difference in students' attitudes toward science. And there were positive correlations between students' attitudes toward science and their mothers' attitudes toward science and support for scientific activities. Also mothers' attitudes toward science and support for scientific activities affected students' attitudes. Especially, mothers' personal interest in science and her mental and physical supports for children's scientific activities had a close relation with students' attitudes toward science.

• Journal of Digital Convergence
• /
• v.15 no.7
• /
• pp.307-317
• /
• 2017

This study was to identify the factors influencing college life adjustment and sub-scales of nursing students. Self- report questionnaire surveys were conducted toward 282 freshman nursing students to measure college life adjustment, psychological well-being, emotional intelligence, and self-efficacy. Data were collected from September 22 through October 7, 2016. This study was analyzed using SPSS Win 18.0. The average mean of college life adjustment was 3.36 and academic activity was the highest, followed by individual psychology, social experience, Interpersonal relationship, and career preparation. A correlation of psychological well-being, emotional intelligence, self-efficacy, college life adjustment and sub-scales showed positive correlation. The strongest predictor of college life adjustment was a self-efficacy. And sub-scales, the strongest predictor of academic activity was academic achievement, career preparation was self-efficacy, individual psychology and social experience was emotional intelligence, and Interpersonal relationship was psychological well-being. An intervention program which includes these significant variables of subjects is essential to improve of college life adjustment.

• The Bulletin of The Korean Astronomical Society
• /
• v.38 no.2
• /
• pp.61.1-61.1
• /
• 2013

Turbulence is a common phenomenon in astrophysical fluids such as the interstellar medium (ISM) and the intracluster medium (ICM). In turbulence studies it is customary to assume that fluid powered by an energy injection on a single scale. However, in astrophysical fluids, there can be many different driving mechanisms that act on different scales simultaneously. In this work, we assume multiple energy injection scale (2${\surd}$12 and 15

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.16 no.8
• /
• pp.2587-2605
• /
• 2022

In order to efficiently detect community structure in complex networks, community detection algorithms can be designed from the perspective of node similarity. However, the appropriate parameters should be chosen to achieve community division, furthermore, these existing algorithms based on the similarity of common neighbors have low discrimination between node pairs. To solve the above problems, a noval community detection algorithm using closeness similarity based on common neighbor node clustering entropy is proposed, shorted as CSCDA. Firstly, to improve detection accuracy, common neighbors and clustering coefficient are combined in the form of entropy, then a new closeness similarity measure is proposed. Through the designed similarity measure, the closeness similar node set of each node can be further accurately identified. Secondly, to reduce the randomness of the community detection result, based on the closeness similar node set, the node leadership is used to determine the most closeness similar first-order neighbor node for merging to create the initial communities. Thirdly, for the difficult problem of parameter selection in existing algorithms, the merging of two levels is used to iteratively detect the final communities with the idea of modularity optimization. Finally, experiments show that the normalized mutual information values are increased by an average of 8.06% and 5.94% on two scales of synthetic networks and real-world networks with real communities, and modularity is increased by an average of 0.80% on the real-world networks without real communities.

• The Bulletin of The Korean Astronomical Society
• /
• v.40 no.1
• /
• pp.46.4-47
• /
• 2015

Carnegie Hubble Program II (hereafter CHP II) is a large Hubble Space Telescope (HST) observing campaign in the cycle 22 composed of a total of 184 orbits (132 primes + 52 parallels), which aims to measure H0 directly with an unprecedented accuracy. Unlike our previous efforts in CHP I which used Cepheids as a yardstick, CHP II takes the Population II (Pop II) distance indicators such as RR Lyraes and tip of the red giant branch stars (TRGBs) to set up a new calibration to Type Ia supernovae (SN Ia) distance. The Pop II distance scales have two immediate advantages over the classical Cepheid method: 1) The period-luminosity relation of the RR Lyrae has a scatter that is a factor of 2 smaller; 2) The RR Lyrae/TRGB distance scale can be applied to both elliptical and spiral galaxies. This will provide a great systematic benefit by ultimately allowing us to double the number of SN Ia distances based on geometry. By taking advantage of this Pop II route, we expect to measure H0 value to 3 % of error which will be the highest accuracy H0 measurement to date using the "Distance Ladder" method. In this talk I will present a brief background/overview on the CHP II, observations/data acquisition status, and ongoing research progress/preliminary results.

• Journal of Korean Clinical Nursing Research
• /
• v.15 no.2
• /
• pp.127-138
• /
• 2009

Purpose: The purpose of this study was to explore self-reported perceived stigma, self-efficacy, and quality of life among psychiatric outpatients Methods: In the present study, researchers analyzed the survey responses of 195 patients recruited in the S hospital psychiatry outpatient clinic. The measurement tools used in this study were the "Devaluation & Discrimination" scale to determine perceptions of stigmatization, general and social efficacy scales to measure self-efficacy, and the "General Well-Being Index" to measure quality of life in psychiatric outpatient. Statistical analysis included means with standard deviation, t-test, ANOVA and Pearson correlation coefficients to identify relationships between the variables. Results: There was a significant difference in self-perceived stigma and quality of life in psychiatric outpatients (r=-.233, p=.001) and a negative correlation between self-efficacy and quality of life (r=-.424, p=.000). Correlation analysis results support the hypothesis that higher self-perceived stigma scores were related to reduced quality of life among patients with schizophrenia (r=-.231, p=.021), while there was a positive correlation between self-perceived stigma scores and self-efficacy scores among patients with bipolar disorder (r=.362, p=.013). Conclusion: The findings suggest that nursing imtervention strategies should include education programs to reduce stigmatization and enhance self-efficacy and quality of life among patients with chronic psychiatric illnesses.

• Journal of The Korean Association of Information Education
• /
• v.17 no.4
• /
• pp.375-382
• /
• 2013

Collaborative filtering has been most widely used in commercial sites to recommend items based on the history of user preferences for items. The basic idea behind this method is to find similar users whose ratings for items are incorporated to make recommendations for new items. Hence, similarity calculation is most critical in recommendation performance. This paper presents a new similarity measure that takes each rating of a user relatively to his own ratings. Extensive experiments revealed that the proposed measure is more reliable than the classic measures in that it significantly decreases generation of extreme similarity values and its performance improves when consulting neighbors with high similarites only. In particular, the results show that the proposed measure is superior to the classic ones for datasets with large rating scales.

• Journal of Fisheries and Marine Sciences Education
• /
• v.24 no.5
• /
• pp.627-642
• /
• 2012

The purpose of this study was to develop and validate a teacher's praise dispositions scale(TPDS). On the basis of a literature review of praise, we developed 19 Likert-type items to measure praise dispositions of elementary and secondary school teachers. The developed scale was examined with 342 teachers. With an exploratory factor analysis we extracted 3 sub-factors of the scale consisted of 16 items; frequency, intention, and standard of praise. Cronbach's ${\alpha}$ coefficients of sub-scales were from .60 to .85 and split-half reliabilities were from .60 to .84. A confirmatory factor analysis was conducted to assess the suitability of three components model. It was found that some correlation coefficients, not all of them, between gratitude disposition and praise disposition were statistically significant. It suggested that teachers'praise disposition scale is related to gratitude disposition but is not the same scale. In conclusion, TPDS could be used to measure praise dispositions of teachers. However, for further validity and reliability, repeated research is necessary.

• Journal of the Korean Home Economics Association
• /
• v.43 no.5 s.207
• /
• pp.93-105
• /
• 2005

This study focused on the development of scales measuring the characteristics related to appearance management behaviors of businessmen for on-line image consulting. The purposes of this study were, 1) to develop a tool which can measure the ideal image, 2) to develop a tool which can measure personality, and 3) to develop a scale measuring the physical characteristics and body cathexis. The data were collected from 380 businessmen in Seoul, Korea and were analyzed by frequency, factor analysis, reliability test, cluster analysis, correlation analysis, one-wav ANOVA and Duncan test. The results from this study were as follows .1)Five factors of the ideal image were identified: stylish, able, active, neat/confident and easy. The total variance was 74.29$\%$ and Cronbach's alpha of the 5 factors ranged from .74-.90. One item was selected to represent each factor. 2) Five factors of personality were identified: preference of social function, sociable, dynamic, achievement-motivated, and success-oriented. The totai variance was 60.63$\%$ and Cronbach's alpha ranged from .56-.83. One item was selected to represent each factor. 3) Five factors of body cathexis were identified: satisfaction with girth, length, physique, nose and eyes. The total variance was 73_46$\%$ and Cronbach's alpha ranged from .68-.85.