• Survey Research
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• v.1 no.1
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• pp.73-108
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• 2000

This study investigates methodological implications of cyberspace and information technology for online survey research Online survey method provides useful methodological tools for collecting empirical data for the study of cyberspace, In terms of sampling frame , selection method, and questionnaire from four major types of the online survey research can be found: member survey visitor survey e-mail survey and the electronic survey. Online survey research with sample design(population specification error. sampling frame error, selection error) measurement (measurement instrument bias system-related processing error, nonrespone, and response bias) and research ethics (privacy and netiquette) pose important methodological issues for the survey. The realization of the technological possibilities of online survey will be possible only through a right consideration of these issues.

• Survey Research
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• v.5 no.2
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• pp.31-48
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• 2004

We collected and analyzed 18 social surveys to assess the quality of samples with respect to region, gender, age-band, education level and occupation. We found in our samples that highly educated people and house wives are over-represented whereas low educated people, self-employed/blue collars and white collars are under-represented. To correct such sample distortions, we applied the iterative proportional weighting or the raking to our samples. We observed sizable changes in survey results. Also, the effective sample sizes were shrunken up to 20%-40%, that could be interpreted as the necessity of larger samples to meet the claimed sampling error limits.

• Korean Journal of Social Welfare
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• v.58 no.2
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• pp.251-271
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• 2006

The purposes of this study were to investigate the research utilization in social work practice and to examine the factors associated with research utilization. The subjects of this study were social workers participating in social work practice in Korea. The sampling methods used in this study was a multistage sampling strategy. Data were collected by sending mails and follow-up mails to the social workers. Data from 569 of social workers were finally analyzed by ordered regression analysis. The results showed that the level of research utilization by social workers in Korea was very low, but their attitude toward research was positive. The variables affecting research utilization were related to the research ability of social workers, but the variables of research related environment except type of organization were not significant. The variables for research ability of social workers are experiences of utilizing journal articles, experiences of re-education for research methodology, gender, attitude about research usefulness. The variables for research related environment are characteristics of agency setting. The implications of social work research are discussed.

• Korean Journal of Social Welfare
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• v.58 no.4
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• pp.219-236
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• 2006

The purposes of this study are to investigate the research attitude of social work students and to examine the factors associated with research attitude. The subjects of this study are social work students around capital city in Korea. The sampling methods used in this study is a purposive sampling strategy. Data were collected by answering the questionnaire in class. Data from 321 of social work students were finally analyzed by regression analysis. The results show that the level of research attitude by social work students in Korea is relatively lower than previous study. The variables affecting importance and usefulness of research are related to the attitude of research class and the attitude of nature for social work practice. The implications of social work research education are discussed.

• Proceedings of the Korean Society of Computer Information Conference
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• 2015.01a
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• pp.299-302
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• 2015

사회복지 지표조사는 주민들의 사회복지에 관한 다양한 상태를 전체적으로 파악할 수 있는 조사로 다양한 복지정책 개발에 있어 지역 주민들의 욕구를 반영할 수 있는 장점이 있다. 따라서 사회복지 지표조사는 복지 욕구를 알 수 있는 중요한 척도의 기준이라 할 수 있어 많은 지자체 및 정부기관에서 예산과 시간을 들여 조사를 실시하고 있다. 그러나 조사에 대한 분석 결과가 기초적인 통계 분석 위주로 되어 있어 실제 자료를 제대로 할용하지 못하고 있는 것이 현실이다. 이에 본 논문에서는 데이터 마이닝 기법을 이용한 분석 방법론을 제시한다. 또한 이를 충청북도의 중장기 사회복지 정책을 위한 지표조사에 적용하였다.

• Survey Research
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• v.11 no.2
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• pp.1-28
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• 2010

This paper reports the results of the 2009 Internet volunteer panel version of the social survey conducted by Statistics Korea (Korea National Statistical Office). Authors identify socio-psychological characteristics of Internet survey volunteers and present quantitative evaluation of the propensity adjustment weighting method intended to remove Internet sample bias. The nine criteria used for propensity adjustment were regions, urban/rural, gender, age, education, consumer satisfaction, views on income distribution, newspaper access and Internet news access. Propensity adjustment weighting based on the logit model and rim weights were applied to the online survey of 2,903 respondents using the face-to-face area sample data of 37,049 respondents as reference. A total of 106 items were used for evaluating the propensity adjustment weighting methods. The results showed that in 80% of survey items the propensity adjustment weighting yielded better estimates compared to simple demographic weighting. This suggests that Internet surveys by volunteer panels are useful for conducting the general social study in Korea. The reference survey data for this study contains several items on social-psychological behaviors and attitudes, is large in size and obtained by probability sampling. Thus it may be utilized in propensity adjustment of other Internet surveys.

• Journal of the Korean Data and Information Science Society
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• v.23 no.5
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• pp.983-992
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• 2012

Social indicator survey can identify the state of society as a whole. When we create a policy, social indicator survey can reflect the public opinion of the region. Social indicator survey is an important measure of social change. Social indicator survey has been conducted in many municipalities (Seoul, Incheon, Busan, Ulsan, Gyeongsangnamdo, etc.). But, the result of social indicator survey analysis is mainly the basic statistical analysis. In this study, we propose a new data mining methodology for effective analysis. We propose a 3-step complex data mining in society indicator survey. 3-step complex data mining uses three data mining method (intervening association rule, clustering, decision tree).

• Korean Journal of Social Issues
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• v.18 no.1
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• pp.57-81
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• 2017

이 연구는 인천광역시 소재 사회복지시설에 근무하는 사회복지사 274명을 대상으로 2015년 5월 및 7월에 실시한 설문조사 결과 중 사회복지사들이 겪은 인권침해와 불이익 경험 여부 및 영향요인을 분석하였다. 이를 위하여 이 연구는 인권침해는 상사나 동료 및 클라이언트의 폭언, 폭력, 성희롱의 경험으로, 불이익은 임금과 수당, 복리후생, 기관운영에서의 차별로 구분하였다. 로지스틱 회귀분석 결과, 이 연구는 사회복지사가 여성일수록, 연령이 낮을수록, 기혼자일수록, 고용형태가 비정규직일수록, 근로시간은 길수록 인권침해와 불이익을 경험하게 되는 확률이 상대적으로 높으며, 대학원 이상의 학력 소지 사회복지사의 경우 불이익 경험 보다 인권침해 경험을 받을 가능성이 높은 것으로 확인하였다. 또한, 이 연구는 사회복지사들은 인권침해 경험에도 불구하고 직장 내에서 이를 문제로 제기한 경우는 10.3%에 불과한 것도 확인하였다. 전국 및 기초지자체 차원에서 사회복지사의 근로환경과 인권침해에 관한 조사연구가 있는 상황에서, 처음으로 광역지자체차원에서 이를 분석한 이 연구는 사회복지사의 인권침해와 불이익의 예방과 피해구제를 위한 적극적 조치가 필요하다는 의견도 제시하였다.

• Venture DIGEST
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• s.136
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• pp.42-45
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• 2009

벤처기업협회는 2009년 벤처사회공헌백서를 제작하며, 온라인으로 벤처기업의 사회공헌 실태조사를 실시하였다. 지난 2004년도에 실시한 벤처기업들의 사회공헌활동 실태결과와 2009년도의 실태조사결과의 비교를 통해 우리나라 벤처기업의 사회공헌활동에 대한 변화추이를 살펴봄으로써 벤처기업인들과 일반대중들의 이해를 높이고, 향후 사회공헌활동의 척도와 전략을 개발하는데 기초를 마련하기 위함이다.

• 한국사회복지학회:학술대회논문집
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• 2001.04a
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• pp.289-313
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• 2001