• Title/Summary/Keyword: Factor analysis, statistical

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Development of the Hybrid Clinical Practicum Environment Scale for Nursing Students

  • Yoon, Seoyoung;Yeom, Hye-Ah
    • Journal of Korean Academy of Nursing
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    • v.54 no.3
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    • pp.340-357
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    • 2024
  • Purpose: This study aimed to develop a Hybrid Clinical Practicum Environment Scale for Nursing Students (HCPES-NS) and verify its validity and reliability. Methods: The HCPES-NS was constructed following the DeVellis guidelines. The initial items were written based on a literature review and individual in-depth interviews. Content validity was verified through an expert panel review. To confirm the validity and reliability of the scale, a survey was conducted with 449 nursing students enrolled in 12 nursing colleges. Data were analyzed using item analysis, exploratory factor analysis, confirmatory factor analysis, concurrent validity, and reliability tests. Results: Factor analysis showed that the HCPES-NS consists of 15 items on five subdomains: clinical site atmosphere, interpersonal relationship, alternative online practicum contents, provision of learning information, and clinical performance facilitation. A higher score indicated a more positive perception of the clinical practicum environment. The concurrent validity of the HCPES-NS was confirmed by its positive correlation with the Clinical Learning Environment Scale (r = .77). The Cronbach's α reliability of the HCPES-NS was .84. Conclusion: The HCPES-NS is both valid and reliable. This scale reflects the clinical practicum environment and includes an online practicum factor. It may be used effectively by faculty members and educators to evaluate nursing students' perceptions of clinical practicum environments.

Reliability analysis-based safety factor for stability of footings on frictional soils

  • Parviz Tafazzoli Moghaddam;Pezhman Fazeli Dehkordi;Mahmoud Ghazavi
    • Geomechanics and Engineering
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    • v.33 no.6
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    • pp.543-552
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    • 2023
  • The design of foundations based on a deterministic approach may not be safe and reliable occasionally, since soils sometimes show considerable spatial variability, and thus, significant uncertainties in turn affect the estimation of footing bearing capacity. The design of footing on cohesionless stratums on the basis of reliability analysis has not received much attention. This paper performs two-dimensional random finite difference analyses of shallow strip footings on a spatially variable frictional soil considering correlation structure. Friction angle (ϕ) is considered as a log-normally distributed random variable and Monte Carlo Simulation is then performed to determine the statistical response based on the random fields. A new approach reliability-based safety factor is defined based on various reliability levels by considering the coefficient of variation of ϕ and correlation length in both the horizontal and vertical directions. The comparison of the probabilistic safety factor and the conventional one illustrates the limitations of the deterministic safety factor and provides insight into how the heterogeneity of soils properties affects the required safety factor. Results show that the conventional safety factor of 3 can be conservative in some cases, especially for soil with low values of mean ϕ and COVϕ.

A Study on Foot Shape of Women (성인 여성의 발 형태 분석에 관한 연구)

  • 서추연;석은영
    • Journal of the Korean Home Economics Association
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    • v.41 no.6
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    • pp.1-12
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    • 2003
  • The purpose of this study were to analyze the anthropometric data of feet of Korean women with aging, to categorize the women's foot shapes, and to compare the shoe size according to the foot shapes in order to provide the basic information for more comfortable shoes. Subjects of this study were 181 women over age 20. They were measured with the direct measurement method and the indirect measurement method. 26 items were measured from the right foot and 6 items were taken on foot outline. Factor analysis, cluster analysis, analysis of variance, post-hoc test, and cross tabs were peformed for statistical analysis of the data by SPSS program. There were significant differences in height items, breadth items, girth items, and angle items by subjects' age. The older subjects' feet were wide and thick with big deformity on toes. The arch height of the older ones was low. This implicates that the degree of deformity on toes, the foot ratio, the foot girth, the foot breath and the arch height as well as the foot length are needed to be considered in developing comfortable shoes. Nine foot construction factors were extracted by the factor analysis of anthropometric measurements; foot size factor, heel and instep factor, malleolus lateralis factor, malleolus medialis factor, foot shape factor, shape of toes factor, heel height factor, big toe height factor, and internal factor. On the basis of the cluster analysis, three different foot shapes were categorized. Type 1 was large and wide foot with little deformity on little toe. Type 2 was medium foot with deformation of big toe, and with the lowest arch height. Type 3 was small and narrow foot with the highest arch height. Distribution of shoe size according to the foot shape was analyzed. The ball of foot breath was of wide distribution than the ball of foot girth. This implicates that girth items and breath items of the foot should be enclosed for the same foot length in the shoe sizing system.

How to Improve Hospital Satisfaction through Improvement of Hospital Bulletins - Through case study and patient satisfaction survey (병원 게시물 개선을 통한 병원 만족도 향상 방안 연구 - 실태 분석 및 환자 만족도 조사를 통하여)

  • Lee, Seung Ji;Kwon, Young Mi;Jeon, Su Yeon
    • Journal of The Korea Institute of Healthcare Architecture
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    • v.27 no.2
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    • pp.49-56
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    • 2021
  • Purpose: This study aims to provide a way to improve hospital satisfaction through improvement of hospital bulletins based on the analysis of the actual condition of hospital bulletins and satisfaction analysis for patients. Methods: First, a case study is conducted. After setting the analysis items based on previous studies and case study, a satisfaction survey is conducted on patients and statistical analysis is performed. Results: As a result of factor analysis, factors were classified into four categories: legibility, visibility, effectiveness, and frequency. As a result of the importance analysis through multiple regression analysis of four factors affecting hospital satisfaction, the importance of the "legibility" factor was the highest, followed by the "frequency", "effectiveness", and "visibility". As a result of the satisfaction analysis of the bulletins in the study site, the "visibility" factor was the highest, followed by "legibility", "effectiveness", and "frequency". Implications: In order to improve hospital satisfaction, the improvement of factors of high importance should be considered first. In other words, in hospital bulletins, legibility and frequency should be considered first. In addition, hospital satisfaction can be maximized by improving the level of factors and variables that are low in the satisfaction survey by factor.

A Study on the Characteristics of the Parameters for the Statistical Analysis of Vibration Signal by Using Bearing Wear Test (베어링 마모시험을 이용한 진동신호의 통계적 파라미터 특성연구)

  • Jun, Oh-Sung;Hwang, Cheol-Ho;Yoon, Byung-Ok;Eun, Hee-Joon
    • The Journal of the Acoustical Society of Korea
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    • v.8 no.1
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    • pp.5-12
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    • 1989
  • This paper is concerned with the characteristics on the statistical parameters of vibration signal from bearing with changing its operating conditions as well as the spreading of faults. The rms, Kurtosis, crest factor, probability of exceedance and probability density function have been chose as the statistical parameters. To characterize of each, vibration signals have been recorded from four ball tester at different loads, operation speeds and time. The values of the statistical parameters for each frequency band have been calculated after A/D conversion and digital filtering of the recorded signals. It has been found that unlike rms values the statistical parameters such as Kurtosis etc. are almost unchanging with the change of the operating conditions such as load and speed. This suggests that the statistical parameters may be used for determining the development of faults independent of the operating conditions. In fact, the statistical parameters deviate considerably from their respective normal values when the faults developed under load conditions in the samples, conforming the suggestion.

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An Agglomerative Hierarchical Variable-Clustering Method Based on a Correlation Matrix

  • Lee, Kwangjin
    • Communications for Statistical Applications and Methods
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    • v.10 no.2
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    • pp.387-397
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    • 2003
  • Generally, most of researches that need a variable-clustering process use an exploratory factor analysis technique or a divisive hierarchical variable-clustering method based on a correlation matrix. And some researchers apply a object-clustering method to a distance matrix transformed from a correlation matrix, though this approach is known to be improper. On this paper an agglomerative hierarchical variable-clustering method based on a correlation matrix itself is suggested. It is derived from a geometric concept by using variate-spaces and a characterizing variate.

Bayesian Analysis for a Functional Regression Model with Truncated Errors in Variables

  • Kim, Hea-Jung
    • Journal of the Korean Statistical Society
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    • v.31 no.1
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    • pp.77-91
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    • 2002
  • This paper considers a functional regression model with truncated errors in explanatory variables. We show that the ordinary least squares (OLS) estimators produce bias in regression parameter estimates under misspecified models with ignored errors in the explanatory variable measurements, and then propose methods for analyzing the functional model. Fully parametric frequentist approaches for analyzing the model are intractable and thus Bayesian methods are pursued using a Markov chain Monte Carlo (MCMC) sampling based approach. Necessary theories involved in modeling and computation are provided. Finally, a simulation study is given to illustrate and examine the proposed methods.

Analysis of Limitation Factor Effects on Digital PID Controller(II) : Finite Wordlength Issue (디지털 PID 제어기의 제한 요소 영향 분석(II):유한 단어 길이 문)

  • 홍석민;김인중;이상정
    • The Transactions of the Korean Institute of Electrical Engineers
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    • v.43 no.2
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    • pp.318-329
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    • 1994
  • This paper deals with the finite wordlength effect on the performance of digital PID controllers. The finite wordlength, one of the major limitation factors in digital controllers, results on two kinds of quantization error : the signal quantization error and the coefficient quantization error. This paper derives the variance of the plant output due to the signal quantization error. Using stability margins as performance criterion, the statistical wordlength concept is adopted for coefficient wordlength selection. Finally, the experimental results exhibit satisfactory performance of the digital PID controller with statistical coefficient wordlength.

Random Vibration Analysis of Nonlinear Structure System using Perturbation Method

  • Moon, Byung-Young;Kang, Beom-Soo;Kang, Gyung-Ju
    • Proceedings of the Earthquake Engineering Society of Korea Conference
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    • 2001.09a
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    • pp.243-250
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    • 2001
  • Industrial machines are sometimes exposed to the danger of earthquake. In the design of a mechanical system, this factor should be accounted for from the viewpoint of reliability. A method to analyze a complex nonlinear structure system under random excitation is proposed. First, the actual random excitation, such as earthquake, is approximated to the corresponding Gaussian process far the statistical analysis. The modal equations of overall system are expanded sequentially. Then, the perturbed equations are synthesized into the overall system and solved in probabilistic way. Several statistical properties of a random process that are of interest in random vibration applications are reviewed in accordance with nonlinear stochastic problem. The obtained statistical properties of the nonlinear random vibration are evaluated in each substructure. Comparing with the results of the numerical simulation proved the efficiency of the proposed method.

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Statistical Analysis of Breakdown Field Distribution of PECVD SiN Films (PECVD SiN 막의 절연파괴 전계분포의 통계적 고찰)

  • Sung, Yung-Kwon;Han, Joo-Min;Oh, Jae-Ha
    • Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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    • 1988.05a
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    • pp.84-87
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    • 1988
  • cIn this paper. we evaluate the breakdown and TDDB characteristics of ammonia free ECVD SiN films which studied widely as a gate insulator to substitute the silicon dioxide because of it's superior film characteristics with the merit of low temperature process. And also, we propose a new statistical model by introduce a dispersion factor in the traditional Weibull statistics. From the comparison of experimental result, and simulation one, try to dock the breakdown mechanism and statistical analysis.

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