• Title/Summary/Keyword: Appropriateness criteria

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Analysis of Applications for Preschoolers' Korean Vocabulary Learning: Focusing on Tablet PC Applications (유아의 한국어 어휘학습용 어플리케이션 분석: 태블릿 PC 어플리케이션을 중심으로)

  • Sung, Mi Young
    • Human Ecology Research
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    • v.53 no.2
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    • pp.219-228
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    • 2015
  • This study evaluated the content of Korean vocabulary learning applications with a focus on tablet PC applications. We analyzed 51 Korean vocabulary learning applications. The instruments in this study were developed based on Yoo et al. (2012)' Vocabulary Learning Game Application Evaluation Criteria and Hyun et al. (2013)' Educational Application Evaluation Criteria. Data were analyzed using a t-test and one-way analysis of variance. The main results are as follows. First, each criteria's score was fairly good; the ease of use had the highest scores and the amusement had the lowest scores. Second, there was a significant difference in the interaction by vocabulary teaching approach. Applications based on a whole language-teaching method had higher scores than applications based on a phonics instructional teaching method inducing more operation and with immediate feedback. Third, there was significant difference in the sum of score and each criteria of developmental appropriateness, educational values, amusement, function and interaction by type of learning. Applications of combining type had higher scores in every criteria except for ease of use than applications of description type. These findings provide a preliminary evidence that the systematic Korean vocabulary learning application facilitates preschoolers' vocabulary learning.

A Model of Criteria for Classifying Fashion Brands - from the viewpoint of fashion business practice - (패션브랜드 분류 기준 모형에 관한 연구 - 패션업체 실무자 관점으로 -)

  • 박송애;이선재
    • Journal of the Korean Society of Costume
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    • v.53 no.5
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    • pp.155-169
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    • 2003
  • The purpose of this study was to find out criteria for classifying fashion brand from the viewpoint of fashion business practice in order to develop strategy of fashion brands and to manage brand effectively and systematically, and to suggest theoretical frame for application of these criteria. Survey was implemented for this research. 388 Data from the people who works for merchandising, sales or design in fashion business company was analyzed. Questionnaires were developed based on 37 fashion brand classification criteria. SPSS package and LISREL program were used to analyze data. Factor analysis, one-way ANOVA, $$\mu$tiple response analysis, correlation analysis, and structure equation model analysis were applied. The results of this study were as follows First, factor analysis considering 37 classification criteria identified 7 factors as classification criteria which can be used effectively by fashion business company. Second, in two cases, based on the job description and the responsible items, analysis showed that importance of the 7 classification criteria factors was different. And all of 7 criteria were correlated to each other. Third, the effective method to classify fashion brands was proposed by establishing the model of the relationship among the values of 7 criteria and by proving it by the structure equation model analysis. And the two types of the courses to classify fashion brand were shown. Forth, according to the evaluation of these criteria in the importance of appropriateness and difficulty of implementing, classification criteria factor of "the level of product concept" was found to be very effective and "the level of brand value" was ineffective to apply.

Modelling Count Responses with Overdispersion

  • Jeong, Kwang Mo
    • Communications for Statistical Applications and Methods
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    • v.19 no.6
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    • pp.761-770
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    • 2012
  • We frequently encounter outcomes of count that have extra variation. This paper considers several alternative models for overdispersed count responses such as a quasi-Poisson model, zero-inflated Poisson model and a negative binomial model with a special focus on a generalized linear mixed model. We also explain various goodness-of-fit criteria by discussing their appropriateness of applicability and cautions on misuses according to the patterns of response categories. The overdispersion models for counts data have been explained through two examples with different response patterns.

Effects of Shopping Value on Store Choice Behavior for Golf Wear (골프웨어 소비자들의 쇼핑가치가 의복선택기준과 점포선택행동에 미치는 영향에 관한 연구)

  • Park, Eun-Joo;Pyo, Hee-Soo
    • Fashion & Textile Research Journal
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    • v.8 no.5
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    • pp.545-551
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    • 2006
  • The purposes of this study were to examine the conceptual structure of shopping value, evaluative criteria of golf wear and store choice behavior, and to investigate the effect of shopping value and evaluative criteria of golf wear on store choice behavior. Data were obtained from 415 men and women aged 20-60 who had purchased golf wears living in Busan. The results of the study were as follows: Shopping value were composed of Hedonic shopping value and Utilitarian shopping value, and evaluative criteria of golf wear were consisted of Size/design.quality, Fitness/appropriateness of use, and Fashionability/brand. Stores choice behavior were composed of Atmosphere/salesperson, Diversity of product/service, Display/assortment, and convenience of location. Hedonic consumers tended to consider the price and display/assortment when they chose golf wear stores, and they were more likely to consider display/assortment mediated by fashionability/brand. But utilitarian consumers perceived less important diversity of product/service when they chose golf wear stores. Consumers who chose golf wear depending on fittness/design and quality patronaged stores offering diverse product/service.

A guideline for evaluating EIS software packages

  • Byun, Daeho;Suh, Euiho
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 1994.04a
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    • pp.344-354
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    • 1994
  • In the development of executive information systems (EIS) the selection of an appropriate software package as a system building tool is regarded as a key technology. This paper attempts to shed some light on the evolving field of EIS software packages and provides a helpful Guideline for selecting the most suitable product by addressing significant considerations. A framework is presented that includes a six-step evaluation process: need analysis, team building, vendor survey, identification of decision criteria, and building an evaluation model and its verification. The major evaluation criteria of the full-featured software include: special functionality, reporting, graphics. decision support capability user friendliness, general functionality physical requirements, communication linkage, vendor support, cost related factors, performance, and documentation capability. An illustrative model using the analytic hierarchy process (AHP) method is also discussed to prove the appropriateness of our approach.

Appropriateness of Admissions in the Emergency Room of a Tertiary Hospital (응급실 방문 환자의 입원의 적절성에 영향을 미치는 요인)

  • Cho, Hong-Jun;Lee, Sang-Il
    • Quality Improvement in Health Care
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    • v.2 no.1
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    • pp.58-67
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    • 1995
  • Background: This paper describes an effort to provide baseline informations for appropriate utilization of emergency room in a tertiary hospital. Methods: Authors have evaluated that the admissions in the emergency room were medically necessary by objective criteria, Appropriateness Evaluation Protocol(AEP), for one month in a tertiary hospital. Data were analysed by chi-square test and multiple logistic regression to exmaine statistical significances at the level of 0.05. Results: The prevalence of inappropriate decisions for admission was found to be 47.8%(154/322). Whether the physician decided the patient to admit or not was affected by type of services, number of departments involved, patients' medical condition, route of visit, and a day of the week visited. Level of appropriateness of admission is significantly related to patients' age, type of services, and a day of the week visited. Conclusion: We found that substantial proportion of admissions through emergency room are medically unnecessary and that non-medical factors are related to physician's for admission decisions and level of appropriateness of admission. This suggests that policy measures be required to relieve the overcrowding problem and to reduce non-emergent utilization of emergency room in a tertiary hospital.

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Development of Korean Nurse Residency Program for Tertiary Hospitals (국내 상급종합병원 신규간호사의 실무적응지원 프로그램 개발)

  • Kwon, In Gak;Cho, Yong Ae;Kim, Kyeong Sug;Kim, Mi Soon;Cho, Myung Sook
    • Journal of Korean Clinical Nursing Research
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    • v.27 no.2
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    • pp.149-164
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    • 2021
  • Purpose: The purpose of this study was to develop a Korean Nurse Residency Program (KNRP) in order to facilitate new nurses' transition to clinical practice working at tertiary hospitals in Korea. Methods: The KNRP was developed through a literature review, investigation of NRP cases in United States, two rounds of expert consultation, and appropriateness survey. For appropriateness survey of the program, a questionnaire with 118 items and 14 subcategories including overview and operation of KNRP, education programs, staffing criteria for new nurses' education, preceptor supporting strategies, evaluation standards for new nurse's education, infrastructure, and KNRP benefits was used. Data were collected from 369 nurses including nurse educators, nurse managers, preceptors, and new nurses working at 43 tertiary hospitals in Korea from February 16, 2021 to March 22, 2021. Data were analyzed with descriptive statistics. Results: Appropriateness score of KNRP was 3.42±0.31 (out of 4) and those of 14 subcategories ranged from 3.18±0.47 to 3.58±0.46. The final version of the KNRP postulated is a one-year program, which is composed of off-job training and on-site training including preceptorship over 3 months, and competency reinforcement and adaptation supporting programs. Conclusion: The application of the one-year KNRP will facilitate new graduate nurses' transition to clinical practice. In order for effective application of the KNRP, cooperative efforts of the government, professional associations, and hospitals are needed.

A Improvement Plans for Anchorage at Masan Port (마산항 정박지 개선방안에 관한 연구)

  • Park, Jun-Mo;Kim, Seungyeon
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.24 no.6
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    • pp.637-645
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    • 2018
  • This study analyzes the problem of lack of anchorage caused by some anchorage closed and suggests ways to improve Masan anchorage. For this, we established the evaluation criteria, and analysed the anchorage operating rate during 5 years after estimating the capacity of barge, and suggested improvement plan after appropriateness assessment of anchorage capacity, finally verified the anchorage improvement plan. As a result of study, it is analyzed that the Masan A-2, A-4, A-6 anchorage needs to expand the anchorage due to excess the anchorage assessment criteria of 60 %. So, in order to improve the Masan anchorage, we suggested the improvement plan that extended 1.8 times by the group designated anchorage, according to integrating the A-2, A-4, A-6 anchorage and anchorage dwell time and ship type. And, the result of verification improvement plan, it is analyzed that meet the assessment criteria since decreasing the anchorage operating rate by 1/2 compared to the existing one, does not act as a risk factor in terms of maritime traffic.

A Study on the Evaluation Scale of Simulation based Government Exercise for Emergency (시뮬레이션 기반 비상대비 정부연습의 조치 평가 척도에 관한 연구)

  • Joo, Choong-Geun;Lee, Sung-Lyong
    • The Journal of the Korea Contents Association
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    • v.20 no.10
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    • pp.45-56
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    • 2020
  • This study is about the scale to evaluate the data of the countermeasures in the 'simulation based government exercise' (tentative name). The criteria and weighting of the scale is a standard for evaluating the data of each agency input. This maintains the objectivity and consistency of the evaluation, which complements the subjective evaluation of the observer. Therefore, the criteria should accommodate the purpose of the government exercise evaluation, the possibility of measurement in the simulation environment, the objectivity, no-duplication and causality between criteria, and the grade applying the evaluation results, and the weighting should be set. In this study, three major criteria of timeliness, accuracy, and appropriateness is set up for the evaluation scale and it consists of sub-criteria classified into three classes below respectively and the concept of it was defined. The weighting was calculated by AHP analysis considering the hierarchical structure of it. When this evaluation scale is applied to the 'simulation based government exercise' in the future, it will be possible to secure consistency and objectivity of the evaluation of measures by integrating the quantified evaluation into the observation evaluation and to conduct AAR by scientific techniques.

A Study on Analysis Criteria for AI Service Impact Assessment (인공지능 서비스 영향성 평가를 위한 분석 기준 연구)

  • Soonduck, Yoo
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.23 no.1
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    • pp.7-13
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    • 2023
  • This study investigated the criteria for evaluating the impact of artificial intelligence services. The study classified AI evaluation targets into two areas: AI service and AI technology, and identified influence, sustainability, efficiency, effectiveness, and appropriateness as potential evaluation criteria. The time aspect of AI service evaluation was divided into pre-evaluation and post-evaluation, with pre-evaluation focused on reviewing items during development and design. The AI service area was classified into public, private, and mixed forms, and the impact assessment was classified as vertical or horizontal. The application of AI services was divided into normative and regulatory aspects, and the purpose of the evaluation could be impact or process evaluation. The subject and field of the AI service could also be used for classification purposes. The results of this study can be used to support the creation of AI service impact policies and countermeasures. However, further research is needed to develop specific indicators based on the criteria identified in this study to evaluate the impact of AI services.