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Acceptance Measure of Quality Improvement Information System among Long-term Care Workers: A Psychometric Assessment (장기요양인력의 질 향상 정보시스템 수용 측정도구: 신뢰타당도 평가)

  • Lee, Taehoon;Jung, Young-il;Kim, Hongsoo
    • Research in Community and Public Health Nursing
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    • v.28 no.4
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    • pp.513-523
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    • 2017
  • Purpose: We evaluated the psychometric properties of a questionnaire on the acceptance of the quality improvement information system (QIIS) among long-term care workers (mostly nurses). Methods: The questionnaire composes of 21 preliminary questions with 5 domains based on the Technology Acceptance Model and related literature reviews. We developed a prototype web-based comprehensive resident assessment system, and collected data from 126 subjects at 75 long-term care facilities and hospitals, who used the system and responded to the questionnaire. A priori factor structure was developed using an exploratory factor analysis and validated by a confirmatory factor analysis; its reliability was also evaluated. Results: A total of 16 items were yielded, and 5 factors were extracted from the explanatory factor analysis: Usage Intention, Perceived Usefulness, Perceived Ease of Use, Social Influence, and Innovative Characteristics. The five-factor structure model had a good fit (Tucker-Lewis index [TLI]=.976; comparative fit index [CFI]=.969; standardized root mean squared residual [SRMR]=.052; root mean square error of approximation [RMSEA]=.048), and the items were internally consistent(Cronbach's ${\alpha}=.91$). Conclusion: The questionnaire was valid and reliable to measure the technology acceptance of QIIS among long-term care workers, using the prototype.

An Instrument for Measuring Take-out Food Safety Perception (테이크아웃 음식의 안전에 대한 고객인식도 측정을 위한 척도에 관한 연구)

  • Kim, Hak-Seon
    • Culinary science and hospitality research
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    • v.18 no.2
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    • pp.82-90
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    • 2012
  • This study was conducted to evaluate a take-out food safety perception instrument that could be used by foodservice establishments. A total of 324 responses was collected via online survey, and 299 responses (92.3%) were used for the statistical analysis. Data was randomly split into two groups. Exploratory Factor Analysis (EFA) was performed on the first split-half sample (n=150) to identify a factor structure using standard principal component analysis. EFA revealed three dimensions, titled "Consumer food safety perception," "Take-out food handling," and "Elements impacting on purchase decisions." Confirmatory Factor Analysis (CFA) was performed on the remaining half sample (n=149) using Structural Equation Modeling (SEM). CFA revealed acceptable absolute model fits for three dimensions and excellent comparative model fits for the instrument. These findings propose standardized measures that can be useful in assessing the take-out food safety perception.

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Determination of Weighting Factor in the Inverse Model for Estimating Surface Velocity from AVHRR/SST Data (AVHRR/SST로 부터 표층유속을 추정하기 위한 역행렬 모델에서 가중치의 설정)

  • Lee, Tae-Shin;Chung, Jong-Yul;Kang, Hyoun-Woo
    • 한국해양학회지
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    • v.30 no.6
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    • pp.543-549
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    • 1995
  • The inverse method has been used to estimate a surface velocity field from sequential AVHRR/SST data. In the model, equation system was composed of heat equation and horizontal divergence minimization and the velocity field contained in the advective term of the heat equation, which was linearized in grid system, was estimated. A constraint was the minimization of horizontal divergence with weighting factor and introduced to compensate the null space(Menke, 1984) of the velocity solutions for the heat equation. The experiments were carried out to set up the range of weighting factor and the matrix equation was solved by SVD(Singular Value Decomposion). In the experiment, the scales of horizontal temperature gradient and divergence of synthetic velocity field were approximated to those of real field. The neglected diffusive effect and the horizontal variation of heat flux in the heat equation were regarded as random temperature errors. According to the result of experiments, the minimum of relative error was more desirable than the minimum of misfit as the criteria of setting up the weighting factor and the error of estimated velocity field became small when the weighting factor was order of $10^{-1}$

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Similitude Law and Scale Factor for Blasting Demolition Test on RC Scale Models (철근콘크리트 축소모형의 발파해체실험을 위한 상사법칙 및 축소율)

  • Park, Hoon;Yoo, Ji-Wan;Lee, Hee-Gwang;Song, Jung-Un;Kim, Sung-Kon
    • Explosives and Blasting
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    • v.25 no.1
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    • pp.53-65
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    • 2007
  • When doing a blasting demolition on RC structures made of scale models, scale model members considering both a proper scale factor and mechanical characteristics of materials have to be similar to prototype RC members to analyze the collapse behavior of RC structures. In this study. a similitude law considering the density of prototype materials is calculated. Both mix of concrete and arrangement of reinforcement have been described referring to Concrete Standard Specification as well as Design Standard of Concrete Structure. The scale factor on scaled concrete models considering maximum size of coarse aggregate is about one-fifth of a cross section of prototype concrete members. A scale factor on staled steel bar models is about one-fifth of a nominal diameter of prototype steel bar. According to the mechanical test results of scale models, it can be concluded that the modified similitude law may be similar to compressive strength of prototype concrete and yield strength of prototype steel bar.

An Analysis of the Visual Characteristics and Preference Factors of an Urban River - With a case of Gapcheon in Daejeon Metropolitan City - (도시하천의 시각적 특성 및 선호요인 분석 -대전광역시 갑천을 중심으로-)

  • Jeong, Dae-Young;Hur, Seong Soo;Shin, Un Dong
    • Journal of the Korean Society of Environmental Restoration Technology
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    • v.10 no.3
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    • pp.14-24
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    • 2007
  • The purpose of this study was to investigate how the landscape characteristics and the physical factors of landscape would affect the preference for the Gapcheon in Daejeon Metropolitan City. The Gapcheon was divided in three sections of the outskirts, Expopark areas, and residential complexes. After selecting seven landscape points where the sections could be expressed best, photographs were taken both in the upstream and downstream direction. The questionnaire used to evaluate the river's landscape included 20 items of adverbs that described the form of the river and one item to rate the overall preference. By analyzing the 14 pictures taken, the occupancy rates of the landscape elements in terms of the sky, river, vegetation of the river, mountain, and artificial structures. Image factor analysis was conducted for each of the sections in order to analyze the landscape characteristics of the Gapcheon, and then regression analysis was conducted in order to analyze the relationships among the physical factors influencing the preference of the landscapes. The results were as follows : Factors that compose the visual characters of urban river were classified be the aesthetic factor, the emotional factor and the situation factor. These 3 factors showed a 65.8% total variance. The river landscape with the biggest preference was the one from the Daedeok Grand Bridge as the occupancy area of the mountain, sky, and river was large and distributed evenly and the vegetation of the river was in a good harmony with the surroundings. After carrying out regression analysis to examine the relationships between the visual preference of Gapcheon and the physical factors of landscape(the sky, river, vegetation of the river, mountain, and artificial structure), the following regressions model was made : PRE=5.906+0.017(river)-0.053(artificial structure)-0.060(vegetation of the river) (R-square=0.48).

A Study on Gesture Recognition Using Principal Factor Analysis (주 인자 분석을 이용한 제스처 인식에 관한 연구)

  • Lee, Yong-Jae;Lee, Chil-Woo
    • Journal of Korea Multimedia Society
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    • v.10 no.8
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    • pp.981-996
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    • 2007
  • In this paper, we describe a method that can recognize gestures by obtaining motion features information with principal factor analysis from sequential gesture images. In the algorithm, firstly, a two dimensional silhouette region including human gesture is segmented and then geometric features are extracted from it. Here, global features information which is selected as some meaningful key feature effectively expressing gestures with principal factor analysis is used. Obtained motion history information representing time variation of gestures from extracted feature construct one gesture subspace. Finally, projected model feature value into the gesture space is transformed as specific state symbols by grouping algorithm to be use as input symbols of HMM and input gesture is recognized as one of the model gesture with high probability. Proposed method has achieved higher recognition rate than others using only shape information of human body as in an appearance-based method or extracting features intuitively from complicated gestures, because this algorithm constructs gesture models with feature factors that have high contribution rate using principal factor analysis.

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Nitrogen-Oxygen Separation Characteristics by Polyimide Membrane System for Controlled Atmosphere Storage (CA저장을 위한 폴리이미드 막 시스템의 질소-산소 분리특성)

  • 이호원;현명택;고정삼
    • Food Science and Preservation
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    • v.5 no.3
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    • pp.239-246
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    • 1998
  • Polyimide membrane system was designed for manufacturing nitrogen-enriched gas, and basic technical data was suggested for appling this system to controlled atmosphere storage. The permeability characteristics of pure oxygen and nitrogen could be explained by dual-mode sorption model. There was substantial decrease in the permeation rates of oxygen, which is the more permeable gas, through the polyimide membrane due to the presence of nitrogen in comparison with pure oxygen. However, the permeation rates of nitrogen was increased by the presence of oxygen. The ideal separation factor was in the range of 5 to 6 in the range of temperature and pressure difference studied, and the separation factor of air was lower than the ideal separation factor. The increase of ideal separation factor with increasing temperature is due to the fact that the activation energy for oxygen is larger than that for nitrogen. Nitrogen concentration decreased rapidly with increasing product recovery, and it was found that this is a major operating factor to obtain nitrogen concentration required for controlled atmosphere storage. A relation equation, by which nitrogen concentration in storehouse can be predicted, was suggested under the establishment of a hypothetical model for controlled atmosphere storage process using polyimide membrane system.

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A Preliminary Study for Developing a Measure of Mentoring Functions Scale - Focused on the Clothing & Textiles Majoring College Students - (멘토링 기능 측정 척도 개발을 위한 기초연구 - 패션관련 전공 학생을 중심으로 -)

  • Lee, Seung-Min;Park, Hyun-Hee
    • Fashion & Textile Research Journal
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    • v.14 no.3
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    • pp.390-399
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    • 2012
  • The purpose of this study is to find the connectional structure of mentoring perceived by the 2-year college students who are majoring in fashion, and to develop the scale with which the mentoring effect can be measured on the basis of the results. To achieve the purpose, research was conducted through a survey questionnaire. The research was carried out obtaining data from the 2-year college students. Responses from this questionnaire were gathered from 265 students. The questionnaire was made with 31 mentoring scales and removed inadequate 18 questions for statistics analysis. The remaining questionnaires consisting of 13 questions were categorized into three factors. The first factor (5questions) relates to the sensitivity developmental function. The second factor (5questions) pertains to the psychosocial function and the third factor (3questions) was for the fashion career developmental function. The results derived from the analysis of the questionnaire survey are as follows: First, the role model function is not enticing enough for the student to continue role model or professor for future student. The students are more interested into discovering their own capability in fashion by entering a fashion company. Second, the result of this study was confirmed through descriptive statistics, exploratory factor analysis and confirmatory factor analysis. Third, the results of this study can be a guide-line for professors to help student to which is fashion in spite of outside comment and own future career task.

Development of measurement scale for Korean scaling fear-1.1 (한국형 스케일링두려움 측정도구 개발(KSF-1.1))

  • Cho, Myung-Sook;Yi, Seung-Ju
    • Journal of Korean society of Dental Hygiene
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    • v.12 no.4
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    • pp.675-684
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    • 2012
  • Objectives : The purpose of this study was to develop an instrument for Korean Scaling Fear (KSF)-1.1 in scaling patients. Methods : 402 sample size for scaling patients was studied in Daegu city in July and August of 2011. Mean and standard deviation was calculated in 3 dimensions(FWS: fear while scaling, DDH: distrust on dental hygienist, FAS: fear after scaling). Results : Age of 402 subjects was 36.5 years. In analyzing reliability for item-level, a range of correlation coefficient(${\alpha}$) on item-internal consistency(FWS, DDH, and FAS) was 0.58~0.88(${\alpha}$=0.90), 0.40~0.71(${\alpha}$=0.82), and 0.54~0.63(${\alpha}$=0.82), respectively. Floor(%) and ceiling(%) value on 3 dimensions were also 9.2% and 4.0%, 12.4% and 0.5%, and 17.7% and 1.2%, respectively, therefore, we found statistically high reliability for those(p<0.001). With explanatory factor analysis, this study could generate 3 dimensions(factor 1, eigenvalue 5.41, proportion 0.49; factor 2, eigenvalue 1.50, proportion 0.14; factor 3, eigenvalue 1.04, proportion 0.09) and 11 sub-scales. Also confirmatory factor analysis results showed that the KSF1.1 model was fitted very well in analysis of model fit($x^2$=112.94, df=41, p=0.000; goodness of fit index=0.95; adjusted goodness of fit index=0.92; root mean square residual=0.057). Conclusions : In conclusion, The findings of this study showed that developed reliable and valid instrument for measuring the KSF1.1 in the scaling patients.

The Structural Relationship among Cyber Home Learning System Circumstance, Student, Learning Satisfaction in Elementary School Students (초등학교 사이버가정학습 환경, 학습자 요인, 학습 만족도간의 구조적 관계분석)

  • Kim, Hyunwook
    • Informatization Policy
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    • v.22 no.2
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    • pp.75-92
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    • 2015
  • The purpose of this study was to analysis about the relationship among Cyber Home Learning System(CHLS) circumstance, learner construct, learning satisfaction in elementary school students. Base on the selected data which was gathered from Chungbuk & Deajeon elementary schools, Structural Equation Modeling was used to examine the relationship between factors. The main results of the research were as follow : First, CHLS circumstance factor was more effective on the CHLS satisfaction than CHLS learner construct. In CHLS circumstance factor, 'service' factor was more influential variable. Second, there is high correlation between CHLS circumstance factor and CHLS learner construct. In CHLS satisfaction, 'contents and design' factor was more influential variable. Third, the model fit, = 624.945 (p<.001), RMR .020, GFI .929, AGFI .878, NFI .927, CFI .930, RMSEA .102 was relatively satisfied with the standard using structural equation model. As based on this results, CHLS in elementary education needs elaborate circumstance for the effective achievement.