Reliability and Validity of the Korean Version of the Cancer Stigma Scale
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- Journal of Korean Academy of Nursing
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- v.47 no.1
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- pp.121-132
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- 2017
Purpose: In this study the reliability and validity of the Korean version of the Cancer Stigma Scale (KCSS) was evaluated. Methods: The KCSS was formed through translation and modification of Cataldo Lung Cancer Stigma Scale. The KCSS, Psychological Symptom Inventory (PSI), and European Organization for Research and Treatment of Cancer Quality of Life Questionnaire - Core 30 (EORTC QLQ-C30) were administered to 247 men and women diagnosed with one of the five major cancers. Construct validity, item convergent and discriminant validity, concurrent validity, known-group validity, and internal consistency reliability of the KCSS were evaluated. Results: Exploratory factor analysis supported the construct validity with a six-factor solution; that explained 65.7% of the total variance. The six-factor model was validated by confirmatory factor analysis (Q (
The present study investigated the perceptions of food adopted by Koreans using the characteristics of taste and nutrition. Two hundred and nine Korean subjects were surveyed including University students and adults from many diverse social backgrounds. The subjects sorted pictures of foods according to two conditions, how tasty and then how nutritions they thought the foods were using the Q-method. These pictures included two sets, one for individual food items and the second depicting typical Korean meals, yielding a total of four conditions, This methodology effectively addressed any language barrier as pictures and words in both Korean and English were used. It was an effective tool for allowing the identification of perceptual structures and indicating how prevalent they were across samples. The data were factor analysed and the resulting factor scores interpreted. Meat was regarded positively in all four conditions. Individual sweet foods were preferred by younger subjects while individual traditional foods were preferred by older subjects. Traditional Korean meals were also favoured while processed meals were not. Nutritionally, proteins were more valued than carbohydrates, fibre and vitamins. Meals that contained protein and were regarded as filling and sustaining were regarded positively. The implications for nutrition education were discussed.
Introduction: Diffusion is process by which an innovation is communicated through certain channel overtime among the members of a social system(Rogers 1983). Bass(1969) suggested the Bass model describing diffusion process. The Bass model assumes potential adopters of innovation are influenced by mass-media and word-of-mouth from communication with previous adopters. Various expansions of the Bass model have been conducted. Some of them proposed a third factor affecting diffusion. Others proposed multinational diffusion model and it stressed interactive effect on diffusion among several countries. We add a spatial factor in the Bass model as a third communication factor. Because of situation where we can not control the interaction between markets, we need to consider that diffusion within certain market can be influenced by diffusion in contiguous market. The process that certain type of retail extends is a result that particular market can be described by the retail life cycle. Diffusion of retail has pattern following three phases of spatial diffusion: adoption of innovation happens in near the diffusion center first, spreads to the vicinity of the diffusing center and then adoption of innovation is completed in peripheral areas in saturation stage. So we expect spatial effect to be important to describe diffusion of domestic discount store. We define a spatial diffusion model using multinational diffusion model and apply it to the diffusion of discount store. Modeling: In this paper, we define a spatial diffusion model and apply it to the diffusion of discount store. To define a spatial diffusion model, we expand learning model(Kumar and Krishnan 2002) and separate diffusion process in diffusion center(market A) from diffusion process in the vicinity of the diffusing center(market B). The proposed spatial diffusion model is shown in equation (1a) and (1b). Equation (1a) is the diffusion process in diffusion center and equation (1b) is one in the vicinity of the diffusing center.