• Title/Summary/Keyword: Item factor

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Validity of the scoring system for traumatic liver injury: a generalized estimating equation analysis

  • Lee, Kangho;Ryu, Dongyeon;Kim, Hohyun;Jeon, Chang Ho;Kim, Jae Hun;Park, Chan Yong;Yeom, Seok Ran
    • Journal of Trauma and Injury
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    • v.35 no.1
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    • pp.25-33
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    • 2022
  • Purpose: The scoring system for traumatic liver injury (SSTLI) was developed in 2015 to predict mortality in patients with polytraumatic liver injury. This study aimed to validate the SSTLI as a prognostic factor in patients with polytrauma and liver injury through a generalized estimating equation analysis. Methods: The medical records of 521 patients with traumatic liver injury from January 2015 to December 2019 were reviewed. The primary outcome variable was in-hospital mortality. All the risk factors were analyzed using multivariate logistic regression analysis. The SSTLI has five clinical measures (age, Injury Severity Score, serum total bilirubin level, prothrombin time, and creatinine level) chosen based on their predictive power. Each measure is scored as 0-1 (age and Injury Severity Score) or 0-3 (serum total bilirubin level, prothrombin time, and creatinine level). The SSTLI score corresponds to the total points for each item (0-11 points). Results: The areas under the curve of the SSTLI to predict mortality on post-traumatic days 0, 1, 3, and 5 were 0.736, 0.783, 0.830, and 0.824, respectively. A very good to excellent positive correlation was observed between the probability of mortality and the SSTLI score (γ=0.997, P<0.001). A value of 5 points was used as the threshold to distinguish low-risk (<5) from high-risk (≥5) patients. Multivariate analysis using the generalized estimating equation in the logistic regression model indicated that the SSTLI score was an independent predictor of mortality (odds ratio, 1.027; 95% confidence interval, 1.018-1.036; P<0.001). Conclusions: The SSTLI was verified to predict mortality in patients with polytrauma and liver injury. A score of ≥5 on the SSTLI indicated a high-risk of post-traumatic mortality.

Psychometric Properties of the Subjective Agingwell Scale (주관적 에이징웰 척도의 타당화)

  • Hong, Ji-Woong;Ju, Haewon
    • Journal of Digital Convergence
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    • v.19 no.11
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    • pp.415-424
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    • 2021
  • The purpose of the current study is to to examine the psychometric properties of the Subjective Agingwell Scale (SAS). Three hundred and forty two elders completed the SAS and the scales assessing subjective well-being, optimism, perceived control and adhering to healthy behavior. The 11-item SAS that displays good internal reliability and good fit to the three-factor model consisting of cognitive satisfaction, positive affect, and spiritual fullness. Correlational analyses with measures of subjective agingwell, subjective well-being, and optimism provide evidence for construct validity. Moreover, the results from hierarchical regression analyses show criterion-related validity of the SAS. This scale could be used in the field to measure and promote subjective agingwell.

Food behaviors accounting for the recent trends in dietary fatty acid profiles among Korean adults

  • Song, SuJin;Shim, Jae Eun
    • Nutrition Research and Practice
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    • v.16 no.3
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    • pp.405-417
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    • 2022
  • BACKGROUND/OBJECTIVES: This study examined the changes in food behaviors of dietary fatty acids over 2007-2018 among Korean adults. SUBJECTS/METHODS: This study used data from the 4th (2007-2009), 5th (2010-2012), 6th (2013-2015), and 7th (2016-2018) Korea National Health and Nutrition Examination Surveys. A total of 46,307 adults aged 19-64 yrs were selected and dietary data were obtained from a single 24-h recall. In the 4th and 7th data, the major food sources for each fatty acid based on the contributing percentage of the food item were compared. The consumption trends in the major food sources were presented as grams per day over 2007-2018 and compared across the survey periods using the multiple regression model. RESULTS: From 2007 to 2018, for total fat, saturated fatty acid (SFA), and monounsaturated fatty acid, the contribution of animal food sources, including beef, chicken, and eggs increased but plant food sources (e.g., tofu, soybean, and plant oil) decreased. As polyunsaturated fatty acid sources, mayonnaise, eggs, and bread showed higher contributions, whereas soybean and tofu showed lower contributions in the 7th data compared to the 4th data. For n-3 fatty acids, the contribution of fish decreased between the 4th and 7th data. Over 12 yrs, the significant increases in the absolute amount of consumption from animal sources were observed. In contrast, decreases in the consumption from plant sources and fish were seen across the survey periods. CONCLUSIONS: In Korean adults, increases in the intake of dietary fatty acids along with changes in the food behaviors during 2007-2018 have evoked great concern for SFA intake, which is a cardiovascular disease risk factor. Healthy food sources of dietary fatty acids should be emphasized in this population.

Effect of job Image of Students Majoring Airline Service on Career Preparation Behavior : Mediating Effect of Satisfaction in Major (항공서비스 전공 학생의 직업 이미지가 진로준비 행동에 미치는 영향 - 전공만족도 매개 효과 검증)

  • Kim, Gyu-Lee;Hong, Kyung Wan
    • The Journal of the Convergence on Culture Technology
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    • v.8 no.6
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    • pp.347-353
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    • 2022
  • The Purpose of this study is to investigate mediating effects of satisfaction in major on the causal relationship between job image of students majoring airline service and career preparation behavior. This study employs a survey questionnaire to examine the mediating effect of satisfaction in major. A 33-item survey questionnaire was administered to 210 students in the universities in 4 Metropolitan cities. The research data are analyzed using six statistical methods: factor analysis, reliability analysis, t-test, ANOVA, correlation analysis, and three-step mediated regression analysis. As a result of the analysis, there is mediating effect of satisfaction in major in the causal relationship between job image and career preparation behavior.

Prediction of pollution loads in agricultural reservoirs using LSTM algorithm: case study of reservoirs in Nonsan City

  • Heesung Lim;Hyunuk An;Gyeongsuk Choi;Jaenam Lee;Jongwon Do
    • Korean Journal of Agricultural Science
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    • v.49 no.2
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    • pp.193-202
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    • 2022
  • The recurrent neural network (RNN) algorithm has been widely used in water-related research areas, such as water level predictions and water quality predictions, due to its excellent time series learning capabilities. However, studies on water quality predictions using RNN algorithms are limited because of the scarcity of water quality data. Therefore, most previous studies related to water quality predictions were based on monthly predictions. In this study, the quality of the water in a reservoir in Nonsan, Chungcheongnam-do Republic of Korea was predicted using the RNN-LSTM algorithm. The study was conducted after constructing data that could then be, linearly interpolated as daily data. In this study, we attempt to predict the water quality on the 7th, 15th, 30th, 45th and 60th days instead of making daily predictions of water quality factors. For daily predictions, linear interpolated daily water quality data and daily weather data (rainfall, average temperature, and average wind speed) were used. The results of predicting water quality concentrations (chemical oxygen demand [COD], dissolved oxygen [DO], suspended solid [SS], total nitrogen [T-N], total phosphorus [TP]) through the LSTM algorithm indicated that the predictive value was high on the 7th and 15th days. In the 30th day predictions, the COD and DO items showed R2 that exceeded 0.6 at all points, whereas the SS, T-N, and T-P items showed differences depending on the factor being assessed. In the 45th day predictions, it was found that the accuracy of all water quality predictions except for the DO item was sharply lowered.

Development of Core Competency Scale for clinical nursing student educators (간호학 임상실습 현장지도자 핵심역량 측정도구 개발)

  • Park, Hyun Sook;Choi, Eun Hee;Kim, Gyung Duck;Kim, Young Hee;Jeon, Mi Yang;Hwang, Hyenam
    • The Journal of Korean Academic Society of Nursing Education
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    • v.28 no.4
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    • pp.345-356
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    • 2022
  • Purpose: This study aimed to develop a Core Competency Scale for clinical nursing student educators. Methods: In this study, we constructed a conceptual framework, selected initial items, verified the content validity, conducted two rounds of Delphi expert consultation, selected secondary and tertiary items, and extracted the final items. The study included 242 clinical educators for nursing students. Item analysis, factor analysis, criterion validity, and internal consistency were used for the data analyses. Results: For the final scale, 35 items were selected and 5 factors were categorized, which together explain 61.7% of the total variance. The factors were education and evaluation, research and cooperation, ethical/legal principles, presenting leadership, and clinical practice. The scores for the scale significantly correlated with the teaching efficacy scale for clinical nursing instructors. The Cronbach's alpha coefficient for the 35 items was .96. Conclusion: The findings of this study demonstrated that the core competency scale has good validity and reliability. This scale can be used to assess the competency of clinical educators for nursing students; hence, it will help in evaluating the relationship between the skills of clinical educators for nursing students and the self-efficacy of those students.

Uncertainty Factors affecting Bid Price from Pre-bid Clarification Document of Transport Construction Projects

  • Jang, YeEun;Kim, HaYoung;Yi, June-Seong;Lee, Bum-Sik
    • International conference on construction engineering and project management
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    • 2022.06a
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    • pp.238-244
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    • 2022
  • Civil projects are associated with many uncertainties because they involve a long duration, many resources, a large area, and many supply chains. Therefore, the price of a civil project is not simply proportional to the quantity and unit price of the item but has a variable value, including uncertainty risk. This study investigates the influence of the uncertainty factors in the pre-bid clarification document on bid price formation during the project bidding phase. To this end, civil projects from the California Department of Transportation (Caltrans) were used as research data. This study randomly selected fifty sample data from each of twelve counties from 2008-to 2020: six hundred. The authors observed that each project sample had 0 to n query cases due to uncertainty. Then, this study examined the project uncertainty cases and categorized them into the following four uncertainty factors: 'conflict' (UF1), 'impossibility' (UF2), 'lack' (UF3), and 'missing' (UF4). Under the extracting process, the cases are classified into four uncertainty factors. With the project not containing any uncertainty factors as a control group, the project containing these uncertainty factors was designated as an experimental group. After comparing the bidder's price, the experimental group's bid price was higher than the control group's. This result suggests that uncertainty factors in bid documents induce bidders to set a high bid price as a defense against uncertainty.

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A Stochastic Simulation Model for Estimating Activity Duration of Super-tall Building Project

  • Minhyuk Jung;Hyun-soo Lea;Moonseo Park;Bogyeong Lee
    • International conference on construction engineering and project management
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    • 2013.01a
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    • pp.397-402
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    • 2013
  • In super-tall building construction projects, schedule risk factors which vertically change and are not found in the low and middle-rise building construction influence duration of a project by vertical attribute; and it makes hard to estimate activity or overall duration of a construction project. However, the existing duration estimating methods, that are based on quantity and productivity assuming activities of the same work item have the same risk and duration regardless of operation space, are not able to consider the schedule risk factors which change by the altitude of operation space. Therefore, in order to advance accuracy of duration estimation of super-tall building projects, the degree of changes of these risk factors according to altitude should be analyzed and incorporated into a duration estimating method. This research proposes a simulation model using Monte Carlo method for estimating activity duration incorporating schedule risk factors by weather conditions in a super-tall building. The research process is as follows. Firstly, the schedule risk factors in super-tall building are identified through literature and expert reviews, and occurrence of non-working days at high altitude by weather condition is identified as one of the critical schedule risk factors. Secondly, a calculating method of the vertical distributions of the weather factors such as temperature and wind speed is analyzed through literature reviews. Then, a probability distribution of the weather factors is developed using the weather database of the past decade. Thirdly, a simulation model and algorithms for estimating non-working days and duration of each activity is developed using Monte-Carlo method. Finally, sensitivity analysis and a case study are carried out for the validation of the proposed model.

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Turkish Version of the Perceived Future Decent Work Securement Scale: Validity and Reliability for Nursing Students

  • Oznur Ispir Demir;Betul Sonmez;Duygu Gul;Sergul Duygulu
    • Safety and Health at Work
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    • v.14 no.3
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    • pp.332-339
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    • 2023
  • Background: The aim of the study was to test the validity and reliability of the Perceived Future Decent Work Securement Scale for Turkish nursing students. Methods: A cross-sectional, methodological study design was used. The study was carried out at three nursing undergraduate programs in Turkey during the academic year of 2020-2021 with 336 senior nursing students. Language validity and content validity analyses were performed for the scale adaptation, followed by confirmatory factor analysis (CFA) for construct validity. The reliability of the scale was determined using the test-retest and Cronbach's alpha internal consistency coefficient. Results: The scale-content validity index score was 0.988. In CFA, all goodness-of-fit indices verified the acceptable fit of the model; its root mean square error of approximation was 0.076; the normed fit index was 0.909; the standardized mean square residual was 0.097; the relative fit index was 0.881; the goodness-of-fit index was 0.915; the adjusted goodness-of-fit index was 0.872 and χ2/df = 2.932. The overall reliability was α = 0.86. The item-total correlations of the scale were above the acceptable level, and the test-retest analysis had a high correlation. The access to healthcare (14.68, SD 3.53) obtained the highest average score, and the adequate compensation (8.52, SD 3.76) was the lowest rated by the senior nursing students. Conclusion: The Perceived Future Decent Work Securement Scale is a valid and reliable scale to assess nursing students' future decent work securement.

Effects of Personality and Sensory Processing on College Life Adaptation in Students Majoring in Occupational Therapy (작업치료 전공 대학생의 성격과 감각처리가 대학생활 적응에 미치는 영향)

  • Chun-Yeop Lee;Nam-Hae Jung
    • Journal of The Korean Society of Integrative Medicine
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    • v.11 no.4
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    • pp.237-246
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    • 2023
  • Purpose : This study investigated the effects of personality and sensory processing on college life adaptation in students majoring in occupational therapy. Methods : We conducted a survey study on 251 college students from March to May 2023. Personality, sensory processing, and college life adaptation were measured through the international personality item pool, adolescent/adult sensory profile, and student adaptation to college questionnaire, respectively. The general characteristics of students were analyzed using frequency analysis, and differences in college life adaptation and sensory processing characteristics were analyzed using independent t-tests and one-way ANOVA. The relationship between personality, sensory processing, and college life adaptation scores was analyzed using Pearson correlation analysis. The impact of personality and sensory processing on college life adaptation was analyzed using multivariate regression analysis using SPSS 25.0. Results : Correlations of all five personality factors, except openness to experience, were observed with students' college life adaptation. According to sensory processing characteristics, differences in college life adaption showed significant differences in sensory avoidance, poor registration, and sensory sensitivity. The variance of college life adaptation explained by each factor (based on R2) were 46% by personality and 26% by sensory processing. Among personality traits, neuroticism had a negative effect on college life adaptation, agreeableness and extroversion had positive effects, and low registration during sensory processing had a negative effect. Conclusion : This study suggests the provision of various activities and creation of an environment for college students with low sensory registration and neurotic traits to encourage positive changes. The results can be used to design a program that helps college students adapt to occupational therapy majors.