• Title/Summary/Keyword: factor analysis

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Development of a Novel Science Curiosity Questionnaire through Modification and Verification of the Science Curiosity Questionnaire -Through the Analysis of Science Curiosity of Pre-Service Elementary Teachers- (과학호기심 설문지의 수정 및 검증을 통한 새로운 과학호기심 설문지의 개발 - 초등예비교사의 과학호기심 분석을 통하여 -)

  • Kim, Dong Uk;Shin, Min Hyeon
    • Journal of Korean Elementary Science Education
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    • v.42 no.1
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    • pp.149-160
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    • 2023
  • A Korean-version science curiosity questionnaire (Science Curiosity in Learning Environments [SCILE(15)]) was developed after factor analysis of the Korean-version SCILE(30) questionnaire. Pre-service elementary school teachers were surveyed using the Korean-version SCILE(30), and a factor analysis based on their responses was performed. The factor analysis demonstrated that the Korean-version SCILE(15) consisted of three curiosity factors: a 'science practices' factor, a 'stretching' factor, and an 'embracing' factor. Confirmatory factor analysis of the factor structure revealed correlations between all the factors, thus confirming their commonality as a science curiosity factors. The Cronbach alpha for the reliability of all items in the Korean-version SCILE(15) and of items by factor was greater than 0.700. The Korean-version SCILE(15) was therefore evaluated to be reliable as a science curiosity questionnaire. Pre-service elementary teachers who participated in the survey for the development of the SCILE(15) were aware of the 'science practices', 'stretching', and 'embracing' science curiosity factors. Analysis in a general linear model of the degree of recognition accorded by pre-service elementary teachers to the three science curiosity factors demonstrated significant differences between the curiosity factors in terms of recognition. This cohort of pre-service elementary teachers showed the highest level of recognition of the 'stretching' curiosity factor and the lowest level of recognition of the 'embracing' curiosity factor.

A Study on The Relationship Among Motivation Factor, Hygiene Factor and Job Satisfaction of School Meal Chefs

  • Cho, Yoon-Shik;Lee, Mi-Ock
    • Journal of the Korean Data and Information Science Society
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    • v.17 no.4
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    • pp.1119-1127
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    • 2006
  • The purpose of this study is to identify relationship among motivation factor, hygiene factor, and job satisfaction of school meal chefs. The respondents included 155 school meal chefs in the survey. Data was analyzed by confirmatory factor analysis and cause-effect analysis among the constructs. After research model testing, the following results was obtained : hygiene factor was influenced directly and positively by the job satisfaction of school meal chefs. But motivation factor was not influenced directly and positively by the job satisfaction of school meal chefs.

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The Causal Structure between the Critical Thinking and the Scientific Literacy Competency in Pre-service Elementary Teachers (초등예비교사의 비판적 사고와 과학적 소양의 역량에 대한 인과구조)

  • Kim, Dong Uk
    • Journal of Korean Elementary Science Education
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    • v.37 no.1
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    • pp.1-11
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    • 2018
  • Factors and causal structures of pre-service elementary teachers about the critical thinking and the scientific literacy competency were investigated in this study. The third grade university students and the first grade university students in the metropolitan city participated in this study. The factor analysis method and the structural equation modeling method were used for the data analysis, and the following results were obtained. First, the third grade university students and the first grade university students recognized 'inquisitive thinking' factor and 'reflective thinking' factor as factors of the critical thinking, and 'scientific explanation' factor and 'evidence-based conclusion' factor as factors of the scientific literacy competency respectively. Second, the third grade university students showed more the influence from 'reflective thinking' factor to 'scientific explanation' factor and from 'reflective thinking' factor to 'evidence-based conclusion' factor than the first grade university students.

Analysis of Generalized Impact Factors and the Indices of Journals

  • Abbas, Ash Mohammad
    • Journal of Information Processing Systems
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    • v.7 no.2
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    • pp.341-354
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    • 2011
  • Analyzing the relationships among the parameters for quantifying the quality of research published in journals is a challenging task. In this paper, we analyze the relationships between the impact factor, h-index, and g-index of a journal. To keep our analysis simple and easy to understand, we consider a generalized version of the impact factor where there is no time window. In the absence of the time window, the impact factor converges to the number of citations received per paper. This is not only justified for the impact factor, it also simplifies the analysis of the h-index and g-index as well because addition of a time window in the form of years complicates the computation of indices too. We derive the expressions for the relationships among impact factor, h index, and g-index and validate them using a given set of publication-citation data.

The Multidimensional Structure of Gottfredson and Hirschi's Concept of Self-Control: An Empirical Analysis of the Grasmick et al.'s Operationalization.

  • Lee, Gang;Hollinger, Richard C.
    • Survey Research
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    • v.11 no.2
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    • pp.123-140
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    • 2010
  • The purpose of this study is to determine the unidimensionality of Grasmick's operationalization of Gottfredson and Hirschi's criminality inducing the concept of low self-control. By applying confirmatory factor analysis procedures that incorporate advances in the application, the proposed six factor model and two alternative models were examined suggesting that Grasmick's low self-control scale actually contains 6 distinguishable factors, not a single factor. The factors identified to be consistent with the six-factor model were impulsivity, simple tasks, risk seeking, physical activities, self-centered, and temper.

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Stress Intensity factor Analysis for Three-Dimensional Cracks in Inhomogeneous Materials (비균질재료의 3차원 균열에 대한 응력확대계수 해석)

  • 김준수;이준성
    • Journal of the Korean Society for Precision Engineering
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    • v.20 no.4
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    • pp.197-203
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    • 2003
  • Accurate stress intensity factor analyses and crack growth rate of surface -cracked components in inhomogeneous materials are needed fur reliable prediction of their fatigue life and fracture strengths. This paper describes an automated stress intensity factor analysis of three-dimensional (3D) cracks in inhomogeneous materials. 3D finite element method (FEM) was used to obtain the stress intensity factor fur subsurface cracks and surface cracks existing in inhomogeneous materials. To examine accuracy and efficiency of the present system, the stress intensity factor for a semi-elliptical surface crack in a plate subjected to uniform tension is calculated, and compared with Raju-Newman's solutions. Then the system is applied to analyze cladding effect of subsurface cracks in inhomogeneous materials. The results were compared with those surface cracks in homogeneous materials. It is clearly demonstrated from these analyses that the stress intensity factors for subsurface cracks are less than those of surface cracks. Also, this system is applied to analyze cladding effect of surface cracks in inhomogeneous materials.

Statistical Analysis on Pollutants of Total Suspended Particulates in the Ambient Air (대기 부유 분진 중 미량유해물질들의 통계적 오염 해석)

  • 허문영;유기선;김경호;손동헌
    • Journal of Korean Society for Atmospheric Environment
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    • v.6 no.2
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    • pp.155-160
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    • 1990
  • During the period from Mar. 1985 to Feb. 1988, airborne particulate matters were collected and size fractionated by the ANdersen high volume air sampler in Seoul. The concentrations of several heavy metals (Pb, Cu, Zn, Fe, Mn) and benzo(a)pyrene were determined to investigate the size distributions and seasonal variations. And with respect to seven components in the total suspended particulate (TSP), the factor analysis was performed for three groups such as the coarse particles (> 2 $\mu$m), fine particles (< $\mu$m) and TSP. As a result of factor analysis by using the varimax method, the chemical components in the TSP were able to characterize with two principal factors. The first factor, F1 was considered to be a factor indicating the contribution of natural sources and the second factor, F2 was a factor indicating the degree of artificial sources. Each components in the TSP was divided into two main groups of components originated from soil and/or road dust and pollutants originated from automobiles and/or human work.

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The Psychometric Properties of Distance-Digital Subjective Happiness Scale

  • Almaleki, Deyab A.
    • International Journal of Computer Science & Network Security
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    • v.21 no.5
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    • pp.211-216
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    • 2021
  • This study intended to test the structure of the latent factor of a subjective happiness scale and the stability of invariance across groups of students' classifications (gender and students' status). In the large, non-clinical sample (619), students completed the subjective happiness scale. The (CFA) confirmatory factor analysis was used to investigate the factor-structure of the measure, and multiple-group confirmatory factor analysis (MGCFA) model was used to test the stability of invariance across groups of students classifications. The findings of the CFA indicated support for the original one-factor model. Additional analyses of the MGCFA method support the measurement (configural, metric and strong) invariant and practical invariant components of this model. There was an invariant across gender. There was partially invariant across groups of students' statuses. The scale exists in both groups to assess the same concepts of (single and married), excluding Items 3 and 4. Given that this study is the first investigation for the structure of the subjective happiness scale.

The Psychometric Properties of Effectiveness Scale in Distance-Digital

  • Almaleki, Deyab A.
    • International Journal of Computer Science & Network Security
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    • v.21 no.12
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    • pp.149-156
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    • 2021
  • This study intended to test the structure of the latent factor of an effectiveness scale and the stability of invariance across groups of students' classifications (gender and levels of education). In the large, non-clinical sample (850), students completed the effectiveness scale. The (CFA) confirmatory factor analysis was used to investigate the factor-structure of the measure, and multiple-group confirmatory factor analysis (MGCFA) model was used to test the stability of invariance across groups of students' classifications. The findings of the CFA indicated support for the original four-factor model. Additional analyses of the MGCFA method support the measurement (configural, metric and strong) invariant and practical invariant components of this model. There was an invariant across gender. There was partially invariant across groups of levels of education. The scale exists in groups of levels of education assess the same concepts of, excluding Items 15 and 10. Given that this study is the first investigation for the structure of the effectiveness scale.

Dynamic increase factor for progressive collapse analysis of semi-rigid steel frames

  • Zhu, Yan Fei;Chen, Chang Hong;Yao, Yao;Keer, Leon M.;Huang, Ying
    • Steel and Composite Structures
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    • v.28 no.2
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    • pp.209-221
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    • 2018
  • An empirical and efficient method is presented for calculating the dynamic increase factor to amplify the applied loads on the affected bays of a steel frame structure with semi-rigid connections. The nonlinear static alternate path analysis is used to evaluate the dynamic responses. First, the polynomial models of the extended end plate and the top and seat connection are modified, and the proposed polynomial model of the flush end plate connection shows good agreement as compared with experimental results. Next, a beam model with nonlinear spring elements and plastic hinges is utilized to incorporate the combined effect of connection flexibility and material nonlinearity. A new step-by-step analysis procedure is established to obtain quickly the dynamic increase factor based on a combination of the pushdown analysis and nonlinear dynamic analysis. Finally, the modified dynamic increase factor equation, defined as a function of the maximum ratio value of energy demand to energy capacity of an affected beam, is derived by curve fitting data points generated by the different analysis cases with different column removal scenarios and five types of semi-rigid connections.