• Title/Summary/Keyword: methods of data collection

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A Convergence Analysis of the Ethnographic Method for Doctoral Dissertations in Korea : Focused on Research Participants, Data Collection Methods, and Trustworthiness Criteria (국내 박사학위 논문의 문화 기술적 연구방법에 대한 융복합적 분석 -연구 참여자, 자료 수집방법, 신뢰성 준거를 중심으로-)

  • Oh, Ho-young;Cho, Hong-Joong
    • Journal of the Korea Convergence Society
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    • v.8 no.10
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    • pp.333-338
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    • 2017
  • Ethnography is concerned about specifically-based behavior and belief and the learned pattern of language and aims to describe and interpret them. Therefore, it is a classical form of qualitative research that was developed by anthropologists who spent for long time in conducting fieldworks within the cultural group. The results of analyzing ethnographic research methods of doctoral dissertations in Korea are as follows. First, the number of research participants in data collection methods was 1-10(32 dissertations, 44.4%), 11-20(18, 25%), 21-30(13, 18.1%), 31-40(2, 2.7%), and others(7, 9.8%). Second, data collection methods were in-depth interview(71, 98.6%), participant observation(70, 97.2%), document data(38, 52.7%), engineering device(12, 16.6%), and others(8, 11.1%). Data collection periods were 3-5 months(7 dissertation, 9.8%), 6-8 months(15, 20.8%), 9-11 months(14, 19.6%), 12-14 months(13, 18.1%), more than 15 months(17, 23.6%), and unpresented(4, 5.4%). Third, trustworthiness criteria were triangulation(46 dissertation, 63.9%), research participants' evaluation of study results 44(61.1%), peer researchers' advice and indication(33, 45.8%), follow-up(25, 34.7%), use of reference(20, 27.8%), reflexive subjectivity(17, 23.6%), intensive observation for a sufficient period(10, 13.9%), in-depth description(7, 9.8%), and others(7, 9.8%).

Discussions and Suggestions for Developing a Satellite Account of Household Production in Terms of Concepts and Methods (가정생산 위성계정 개발을 위한 개념, 방법론적 논의 및 제언)

  • Huh, Kyung-Ok
    • Journal of the Korean Home Economics Association
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    • v.41 no.10 s.188
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    • pp.31-44
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    • 2003
  • Household work is a productive activity, but it was not included in the System of National Accounts(SNA). Feminists and household economists complained this drawbacks of the SNA frequently. Finally, a Satellite Account for household production was allowed in the 1993 SNA. Korean government aimed to develop a Satellite Account for Korean household production. However, the development process u3s not efficiently peformed because of the lack of interests, relevant research, and appropriate dat3 at the national level in Korea. Therefore, this study aimed at examining to develop the Satellite Account for Korean household production in terms of its concept, method, data collection, and research topics. Several issues were discussed including methodology to value household production economically, appropriate ways for data collection, and future research directions in the topics of a Satellite Account.

The Lived Experience of the Burnout of Nurses Working in Oncology Wards (종양병동 간호사의 소진 체험)

  • Lee, Young-Sook;Tae, Young-Sook
    • Asian Oncology Nursing
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    • v.12 no.1
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    • pp.100-109
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    • 2012
  • Purpose: This study was done to understand the meanings and nature of experiences of the burnout of nurses working in oncology wards. Methods: The hermeneutic phenomenology developed by van-Manen was used. The period for data collection was from November, 2006 to May, 2007. This study took place in 3 university hospitals in B & U cities. Nine nurses working in oncology wards participated. Data collection was done through individual in-depth interviews. Results: The eight most common themes demonstrated by participants from this study were 'being fed up with endless demands', 'collapsing in front of deaths', 'gasping for breath due to overwhelming tasks', 'uncontrollable suffering of body', 'gradually loosing self-esteem', 'frustration from the work world', 'beleaguered relationships', and 'desire to escape'. Conclusion: The results of this study indicate that there is a need to develop a preventive burnout program for nurses working in oncology wards.

A Review of Ocean Wave Power Extraction; the primary interface

  • Nik, W.B. Wan;Muzathik, A.M.;Samo, K.B.;Ibrahim, M.Z.
    • International Journal of Fluid Machinery and Systems
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    • v.2 no.2
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    • pp.156-164
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    • 2009
  • This paper aims to describe the importance of data, data collection methods, parameters to estimate the potential of wave energy and environmental impacts. The technical and economical status in wave energy conversion is outlined. Power and energy efficiency relationships are discussed. Many different types of wave-energy converters have been detailed. The progress in wave energy conversion in Malaysia is reviewed.

Phonics-based Rules for Improving Performance of English-to-Korean Transliteration (영.한 음차 표기 성능 향상을 위한 음철법 기반 규칙 구축)

  • Kim, Min-Jeong;Hong, Gum-Won;Park, So-Young;Rim, Hae-Chang
    • Phonetics and Speech Sciences
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    • v.1 no.4
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    • pp.133-144
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    • 2009
  • This paper presents a method for constructing and using transliteration rules which are based on Phonics, an instructional method for speaking and writing English letters. Conventional approaches to automatic transliteration often focused on statistical methods. However, the construction or the collection of correct transliteration examples is always the bottleneck of the statistical transliteration model. Also, in practical domains where the collection of such data is very difficult, such as education and tourism, it is reasonable to build a system without much qualified data. Furthermore, compared with Korean orthography of borrowed foreign words, the proposed approach is much easier to construct, and can generate more refined rules. The experimentation result shows that the proposed approach can improve the performance of a statistical-based transliteration system.

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Retrospective and Prospective Determination of the Cow's Milk-Related Symptom Score (CoMiSSTM) Values in Symptomatic Infants

  • Kozlowska-Jalowska, Anna;Horvath, Andrea;Vandenplas, Yvan;Szajewska, Hania
    • Pediatric Gastroenterology, Hepatology & Nutrition
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    • v.24 no.4
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    • pp.384-391
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    • 2021
  • Purpose: The Cow's Milk-related Symptom Score (CoMiSSTM) was developed as an awareness tool for evaluating cow's milk-related symptoms in otherwise healthy children. Using a convenience sample of participants, this cross-sectional study aimed to determine CoMiSSTM values of symptomatic infants based on retrospectively or prospectively obtained information. Methods: CoMiSSTM values were determined in infants aged <12 months with symptoms suggestive of cow's milk protein allergy or functional gastrointestinal disorders. The exclusion criteria were previous diagnosis with acute or chronic disease, treatment with a therapeutic formula, and in case of breastfeeding, an elimination diet followed by the mother. Two CoMiSSTM values were assessed. A retrospective collection was defined as the collection of data after initial contact with the medical center but before the first medical consultation. A prospective collection was defined as the collection of data within 24 hours from the time of medical consultation but before starting any therapeutic intervention. The CoMiSSTM total and individual component scores obtained retrospectively or prospectively were compared between groups using the Wilcoxon signed-rank test. Results: This study was performed between August and November 2019. Data of 110 children (62 males and 48 females), with a mean±standard deviation age of 18.2±11.7 weeks, were obtained. The total CoMiSSTM value (p<0.001) and some individual component scores (crying, regurgitation, and stool) were significantly lower when collected prospectively than when collected retrospectively. Conclusion: CoMiSSTM values were retrospectively and prospectively determined. Lower CoMiSSTM values were obtained during prospective evaluation. Possible differences should be considered when using CoMiSSTM in clinical practice.

Refresh Cycle Optimization for Web Crawlers (웹크롤러의 수집주기 최적화)

  • Cho, Wan-Sup;Lee, Jeong-Eun;Choi, Chi-Hwan
    • The Journal of the Korea Contents Association
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    • v.13 no.6
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    • pp.30-39
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    • 2013
  • Web crawler should maintain fresh data with minimum server overhead for large amount of data in the web sites. The overhead in the server increases rapidly as the amount of data is exploding as in the big data era. The amount of web information is increasing rapidly with advanced wireless networks and emergence of diverse smart devices. Furthermore, the information is continuously being produced and updated in anywhere and anytime by means of easy web platforms, and smart devices. Now, it is becoming a hot issue how frequently updated web data has to be refreshed in data collection and integration. In this paper, we propose dynamic web-data crawling methods, which include sensitive checking of web site changes, and dynamic retrieving of web pages from target web sites based on historical update patterns. Furthermore, we implemented a Java-based web crawling application and compared efficiency between conventional static approaches and our dynamic one. Our experiment results showed 46.2% overhead benefits with more fresh data compared to the static crawling methods.

Image Evaluation according to Formative Properties of Hat and the Garment in the Fashion Collection (패션컬렉션에 나타난 모자와 의복의 조형성에 따른 이미지 평가)

  • Jeong, Hae-Son;Kang, Kyung-Ja;Jeong, Su-Jin
    • Korean Journal of Human Ecology
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    • v.15 no.6
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    • pp.1049-1062
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    • 2006
  • The purpose of this study is to find out the image according to formative properties of hat and garment in the fashion collection. For the study, the 96 stimuli found frequently in fashion collection from the S/S season of 1998 to the F/W season of 2004 were selected. Sets of stimulus and response scales (7 point semantic) were used as experimental materials. The stimuli were 96 pictures with the types of hat(4), the lengths of hair(3), the types of garment(3), the relations between the color of garment and hat(4), and the materials(4) and patterns of garment(2). The subjects were 415 women college students majoring fashion design related fields and living in Seoul and Gyeongsangnam-do. As statistical methods for data analysis, Factor Analysis, ANOVA test, and LSD test were used. The items of the adjectives were classified into 5 image dimensions; attractiveness, gracefulness, concentration, cuteness, and hardness and softness. Among these factors, each dimensional image was affected by formative properties of hat and garment. The image of a hat-wearer was perceived differently according to the hair style and the formative properties of hat and garment even if the type of hat was same.

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A Study on Types of Municipal Sanitation Workers' Occupational Accident by Work Type (환경미화원의 작업별 산업재해 발생형태에 관한 연구)

  • Choi, Eun-Sook;Sohn, Shin-Young;Yi, Kwan-Hyung
    • Korean Journal of Occupational Health Nursing
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    • v.20 no.2
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    • pp.172-184
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    • 2011
  • Purpose: The aim of this study is to identify the characteristics of occupational accidents by work type among municipal sanitation workers. Methods: The original data of occupational accidents in 2009 by Korea Occupational Safety & Health Agency were analyzed by frequency and percentage using the SAS Version 9.1. Results: The types of occupational accident were as follows: slips and trips, falls, musculoskeletal disorders, traffic accident, collision, amputation, cut & puncture, crush injuries, strenuous movement and drop/fly. Slips and trips occurred most frequently in domestic waste collection and street sweeping. The traffic accident showed the highest incidence in food waste collection. Falls occurred most frequently in recycling waste collection. Musculoskeletal disorders showed the highest incidence in large waste collection. Conclusion: Depending on the work type, types of occupational accident were different. The results of this study can provide the information for the development of the occupational accident prevention programs of municipal sanitation workers.

A Classification Model for Illegal Debt Collection Using Rule and Machine Learning Based Methods

  • Kim, Tae-Ho;Lim, Jong-In
    • Journal of the Korea Society of Computer and Information
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    • v.26 no.4
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    • pp.93-103
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    • 2021
  • Despite the efforts of financial authorities in conducting the direct management and supervision of collection agents and bond-collecting guideline, the illegal and unfair collection of debts still exist. To effectively prevent such illegal and unfair debt collection activities, we need a method for strengthening the monitoring of illegal collection activities even with little manpower using technologies such as unstructured data machine learning. In this study, we propose a classification model for illegal debt collection that combine machine learning such as Support Vector Machine (SVM) with a rule-based technique that obtains the collection transcript of loan companies and converts them into text data to identify illegal activities. Moreover, the study also compares how accurate identification was made in accordance with the machine learning algorithm. The study shows that a case of using the combination of the rule-based illegal rules and machine learning for classification has higher accuracy than the classification model of the previous study that applied only machine learning. This study is the first attempt to classify illegalities by combining rule-based illegal detection rules with machine learning. If further research will be conducted to improve the model's completeness, it will greatly contribute in preventing consumer damage from illegal debt collection activities.