• Title, Summary, Keyword: cross-sectional survey

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Constructing Panel Data Using Repeated Cross-sectional Survey Data : A Case of Farm Household Survey and Its Analysis (반복횡단면자료의 패널화에 대한 연구: 농가경제조사의 경우)

  • Kang, Seog-Hoon;Bang, Tae-Kyung
    • Survey Research
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    • v.12 no.2
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    • pp.89-112
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    • 2011
  • This study shows the results of constructing panel data using Farm Household survey and presents some examples of empirical application. This study shows that ex post constructed panel data using repeated cross-sectional survey can be used in various dynamic analyses. This paper also shows that the well known difficult problem of longitudinal weights can be easily solved by using the existing cross-sectional weights in original cross-section data. Based on these results, we propose that the National Statistical Office not only try to construct panel data, but also construct panel data by using existing repeated cross-section data. The benefits of this approach seems to be very big in establishment survey.

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Cross-cultural Validation of Instruments Measuring Health Beliefs about Colorectal Cancer Screening among Korean Americans

  • Lee, Shin-Young;Lee, Eunice E.
    • Journal of Korean Academy of Nursing
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    • v.45 no.1
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    • pp.129-138
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    • 2015
  • Purpose: The purpose of this study was to report the instrument modification and validation processes to make existing health belief model scales culturally appropriate for Korean Americans (KAs) regarding colorectal cancer (CRC) screening utilization. Methods: Instrument translation, individual interviews using cognitive interviewing, and expert reviews were conducted during the instrument modification phase, and a pilot test and a cross-sectional survey were conducted during the instrument validation phase. Data analyses of the cross-sectional survey included internal consistency and construct validity using exploratory and confirmatory factor analysis. Results: The main issues identified during the instrument modification phase were (a) cultural and linguistic translation issues and (b) newly developed items reflecting Korean cultural barriers. Cross-sectional survey analyses during the instrument validation phase revealed that all scales demonstrate good internal consistency reliability (Cronbach's alpha=.72~.88). Exploratory factor analysis showed that susceptibility and severity loaded on the same factor, which may indicate a threat variable. Items with low factor loadings in the confirmatory factor analysis may relate to (a) lack of knowledge about fecal occult blood testing and (b) multiple dimensions of the subscales. Conclusion: Methodological, sequential processes of instrument modification and validation, including translation, individual interviews, expert reviews, pilot testing and a cross-sectional survey, were provided in this study. The findings indicate that existing instruments need to be examined for CRC screening research involving KAs.

Research on Standard Cross Sectional Survey Length of Cross-to-Nature Sanggachun Stream (자연형 소하천의 종단측량 표준간격 연구)

  • Park, Seung-Ki;Jung, Nam-Su
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.28 no.3
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    • pp.347-352
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    • 2010
  • There is a lack of survey standard for cross-to-nature small stream. In this research, we analyzed cross sectional survey data of Sanggachun stream, calculated variant quantity of soil, and suggested a survey interval. Descriptive analysis of cross sectional survey data shows the trend of stabilization; mean interval of survey is 14.91m(min: 7.0m, max: 39m), mean cross sectional variances are $0.82m^2$(min: $-3.80m^2$, max: $8.11m^2$) in 2004, $0.24m^2$ (min: $-5.25m^2$, max: $8.55m^2$) in 2005. Calculating results of variance quantity based on data of 65 cross sections show similar trends in 15m, 30m, 45m, 60m but different with results of 75m, 90m with Post-Hoc Test in statistical verification. We suggested standard cross sectional survey length of cross section for natural style small stream as 50m based on fitting results of standard variation of erosion and cumulation quantity by survey interval.

Improvement of Cross-section Estimation Method for Flood Stage Analysis in Unmeasured Streams (미계측 하천의 홍수위 해석을 위한 단면 추정 기법 개선)

  • Jun, Sang Min;Hwang, Soon Ho;Song, Jung-Hun;Kim, Si Nae;Choi, Soon-Kun;Kang, Moon Seong
    • Journal of The Korean Society of Agricultural Engineers
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    • v.61 no.4
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    • pp.11-22
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    • 2019
  • The objective of this study was to improve the cross-sectional area and height estimation method using stream width. Stream water levels should be calculated together to simulate inundation of agricultural land. However, cross-sectional survey data of small rural rivers are insufficient. The previous study has developed regression equations between the width and the cross-sectional area and between the width and the height of stream cross-section, but can not be applied to a wide range of stream widths. In this study, cross-sectional survey data of 6 streams (Doowol, Chungmi, Jiseok, Gam, Wonpyeong, and Bokha stream) were collected and divided into upstream, midstream and downstream considering the locations of cross-sections. The regression equations were estimated using the complete data. $R^2$ between the stream width and cross-sectional area was 0.96, and $R^2$ between width and height was 0.81. The regression equations were also estimated using divided data for upstream, midstream and downstream considering the locations of cross-sections. The range of $R^2$ between the stream width and cross-sectional area was 0.86 - 0.91, and the range of $R^2$ between width and height was 0.79 ? 0.92. As a result of estimating the cross-sections of 6 rivers using the regression equations, the regression equations considering the locations of cross-sections showed better performance both in the cross-sectional area and height estimation than the regression equations estimated using the complete data. Hydrologic Engineering Center - River Analysis System (HEC-RAS) was used to simulate the flood stage analysis of the estimated and the measured cross-sections for 50-year, 100-year, and 200-year frequency floods. As a result of flood stage analysis, the regression equations considering the locations of cross-sections also showed better performance than the regression equations estimated using the complete data. Future research would be needed to consider the factors affecting the cross-sectional shape such as river slope and average flow velocity. This study can be useful for inundation simulation of agricultural land adjacent to an unmeasured stream.

A Study on the Construction of Weights for KYPS (한국청소년패널조사(KYPS) 가중치 부여 방법 연구: 중학교 2학년 패널의 경우)

  • Park, Min-Gue;Lee, Kyeong-Sang;Park, Hyun-Soo;Kang, Hyun-Cheol
    • Survey Research
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    • v.12 no.3
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    • pp.173-186
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    • 2011
  • We introduced the methodologies used to construct the longitudinal weights and cross-sectional weight that are required for the analysis of Korea Youth Panel Survey. To analyze the longitudinal dynamic change of the population, we derived the longitudinal weight through nonresponse adjustment based on logistic regression and post-stratification. Cross-sectional weights that are necessary to produce an asymptotically unbiased estimator of the population parameter were constructed through simple nonresponse adjustment based on overall response rate and post-stratification.

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Price and qualify Effects in US Fisheries Demand (미국 수산물 수요에 있어서 가격과 질의 영향분석)

  • 김기수
    • The Journal of Fisheries Business Administration
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    • v.26 no.1
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    • pp.1-8
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    • 1995
  • This paper tries to estimate price and quality effects in US cross - sectional fisheries demand analysis using 1987-88 Nationwide Food Consumption Survey Data. The estimated results support to the hypothesis of quality effects in cross - sectional prices, which had been already proven by Cox and Wohlgenant(1986). But Since all zero observations for the respective incomes, expenditures and quantities are eliminated for the ease of computation, it may yield inconsistent estimates from selectivity bias.

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Seroprevalence of specific Brucella infection of cattle in Bangladesh Agricultural University Veterinary Clinics and its surrounding areas

  • Rahman, Md. Siddiqur;Alam, Nur;Rahman, A.K.M. Anisur;Huque, A.K.M. Fazlul;Ahasan, Md. Shamim;Song, Hee-Jong
    • Korean Journal of Veterinary Service
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    • v.32 no.3
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    • pp.219-225
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    • 2009
  • A cross sectional survey was conducted to determine the seroprevalence of brucellosis in cattle in Bangladesh Agricultural University (BAU) Veterinary Clinics, in BAU Dairy Farm and Vabokhali from June 2008 to November 2008. A total of 200 serum samples were collected from BAU Veterinary Clinic, from BAU Dairy Farm and Vabokhali. Among the serum samples 143 sera samples were collected from BAU Veterinary Clinic, 42 serum samples from BAU Dairy Farm and 15 serum samples from Vabokhali. Sera were separated from blood samples and tested with specific Brucella abortus antigen (BAA) test and B. melitensis antigen (BMA) test. The overall seroprevalence of brucellosis in cattle was 5% in BAA and 0.5% in BMA. It was observed that, a significant higher prevalence of B. abortus was found in female than male. An insignificant higher prevalence of brucellosis was found in adult cattle (aged above 5 years), in cross breed cattle, in cattle with grazing, cattle breed by natural breeding, and in pregnant cows. Although insignificant but a higher prevalence of brucellosis was found in aged cattle than young cattle, cross bred cattle, pregnant cattle than non pregnant cattle, cattle with grazing. A higher prevalence of brucellosis was found in female cattle than male.

Vegetable and Nut Food Groups are Inversely Associated with Hearing Loss- a Cross-sectional Study from the Korea National Health and Nutrition Examination Survey (채소류 및 견과류와 난청과의 연관성: 2013년 국민건강영양조사 자료활용)

  • Lee, Sunghee;Lee, Jae Yeon
    • Korean Journal of Community Nutrition
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    • v.25 no.6
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    • pp.512-519
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    • 2020
  • Objectives: A cross-sectional study was conducted to investigate the associations between food groups and hearing loss. Methods: Data of 1,312 individuals were used from the Korea National Health and Nutrition Examination Survey 2013. Hearing loss was determined with a pure tone average (PTA) of greater than 25 dB in either ear. The PTA was measured as the average hearing threshold at speech frequencies of 0.5, 1, 2, and 4 kHz. The dietary intake was examined with a food frequency questionnaire with 112 food items. The food items were classified into 25 food groups. A weighted logistic regression was used to investigate the association. Results: Individuals in the highest tertile of vegetables and nuts food groups were less likely to have hearing loss than those in the lowest tertile [Odds Ratio (OR) = 0.58 (95% Confidence interval (CI) 0.38-0.91), P = 0.019; OR = 0.59 (95% CI 0.39-0.90), P = 0.020, respectively], after adjusting for confounding variables of age, sex, body mass index, drinking, smoking, diabetes, hypertension, and physical activity. Conclusions: In this cross-sectional study, we observed that high intake of vegetables and nuts food groups revealed significant inverse associations with hearing loss, after adjusting for confounding variables among 1,312 participants.

Impact of dietary risk factors on cardiometabolic and cancer mortality burden among Korean adults: results from nationally representative repeated cross-sectional surveys 1998-2016

  • Jo, Garam;Oh, Hannah;Singh, Gitanjali M.;Park, Dahyun;Shin, Min-Jeong
    • Nutrition Research and Practice
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    • v.14 no.4
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    • pp.384-400
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    • 2020
  • BACKGROUND/OBJECTIVES: Dietary factors are important contributors to cardiometabolic and cancer mortality. We examined the secular trends of nine dietary factors (fruits, vegetables, whole grains, nuts and seeds, milk, red meat, processed meat, sugar-sweetened beverages, and calcium) and the associated burdens of cardiometabolic and cancer mortality in Korea using representative cross-sectional survey data from 1998 to 2016. SUBJECTS/METHODS: Using dietary data from Korean adults aged ≥ 25 years in the Korea National Health and Nutrition Examination Survey (KNHANES), we characterized secular trends in intake levels. We performed comparative risk assessment to estimate the population attributable fraction and the number of cardiometabolic and cancer deaths attributable to each dietary factor. RESULTS: A total of 231,148 cardiometabolic and cancer deaths were attributable to nine dietary risk factors in Korea from 1998 to 2016. Suboptimal intakes of fruits and whole grains were the leading contributors. Although the intakes of fruits, vegetables, and whole grains moderately improved over time, the intake levels in 2016 (192.1 g/d, 225.6 g/d, and 10.9 g/d, respectively) remained far below the optimal levels. Deaths attributable to the low intakes of nuts and seeds (4.5 g/d), calcium (440.5 mg/d), and milk (37.1 g/d) and the high intakes of red meat (54.7 g/d), processed meat (4.7 g/d), and sugar-sweetened beverages (33.0 g/d) increased since 1998. Compared with older age groups (≥ 45 years), more unfavorable changes in dietary patterns were observed in the younger population aged 25-44 years, including more sharply increased intakes of processed meat. CONCLUSIONS: We observed improvement in the intakes of fruits, vegetables, and whole grains and unfavorable changes in the intakes of processed meat and sugar-sweetened beverages over the past few decades. Our data suggest that to reduce the chronic disease burden in Korea, more effective nutritional policies and interventions are needed to target these dietary risk factors.

Non-Response Imputation for Panel Data (패널자료의 무응답 대체법)

  • Pak, Gi-Deok;Shin, Key-Il
    • Communications for Statistical Applications and Methods
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    • v.17 no.6
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    • pp.899-907
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    • 2010
  • Several non-response imputation methods are suggested, however, mainly cross-sectional imputations are studied and applied to this analysis. A simple and common imputation method for panel data is the cross-wave regression imputation or carry-over imputation as a special case of cross-wave regression imputation. This study suggests a multiple imputation method combined time series analysis and cross-sectional multiple imputation method. We compare this method and the cross-wave regression imputation method using MSE, MAE, and Bias. The 2008 monthly labor survey data is used for this study.