• 제목/요약/키워드: predictive validity

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Evaluating the Causal Relationships among Organizational Support, Organizational Commitment, Job Satisfaction, and Service Quality in the Hotel F & B Department (호텔 식음료부서에서 조직지원, 조직몰입, 직무만족과 서비스품질의 인과관계 평가)

  • 강종헌
    • Korean journal of food and cookery science
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    • v.19 no.2
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    • pp.155-164
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    • 2003
  • The purpose of this study was to examine, in a service context, construct validity and generalizability of widely used and accepted measures of perceived organizational support, job satisfaction, organizational commitment, and service duality, and to test each measures' predictive utility in this context with path analysis. Of 350 subjects, 309 subjects participated in the analysis. Descriptive statistics (frequencies), exploratory factor analysis, reliability analysis, zero-order partial correlation analysis, and confirmatory factor analysis were used for this study. The findings from this study are as follows. First, perceived organizational support significantly influenced job satisfaction, organizational commitment. and service quality. Second, Job satisfaction had a directional impact upon organizational commitment and service quality. Third, organizational commitment showed to have a predictive impart on service quality. Finally, the results of the study provide some insight into the types of internal marketing strategies that can be applied successfully by operators of hotel F & B departments.

Adaptive Linear Predictive Coding of Time-varying Images Using Multidimensional Recursive Least-squares Ladder Filters

  • Nam Man K.;Kim Woo Y.
    • Journal of the military operations research society of Korea
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    • v.13 no.1
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    • pp.1-18
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    • 1987
  • This paper presents several adaptive linear predictive coding techniques based upon extension of recursive ladder filters. A 2-D recursive ladder filter is extended to a 3-D case which can adaptively track the variation of both spatial and temporal changes of moving images. Using the 2-D/3-D ladder filter and a previous farme predictor, two types of adaptive predictor-control schemes are proposed in which the prediction error at each pel can be obtained at or close to a minimum level. We also investigate several modifications of the basic encoding methods. Performance of the 2-D/3-D ladder filters, their adaptive control schemes, and variations in coding methods are evaluated by computer simulations on a real sequence and compared to the results of motion compensation and frame differential coders. As a validity test of the ladder filters developed, the error signals for the different predictors are compared and evaluated.

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Exploring the Predictive Validity of Behavioral Characteristics Checklists for Identifying Mathematically Gifted Students in Korea (예측타당도를 중심으로 한 관찰·추천 영재판별용 행동특성 평정척도의 유용성 탐색)

  • Jung, Hyun Min;Jin, Sukun
    • Journal of Gifted/Talented Education
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    • v.23 no.5
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    • pp.835-855
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    • 2013
  • The purpose of this study was to investigate the predictive validity of behaviroal characteristics checklists that are widely used in Korea for identifying mathematically gifted students. Three most widely used checklists were selected and implemented to classroom teachers who could teach and observe gifted students in regular classes. The predictive validity of the tree checklists were explored by generating the correlations between their ratings using those three checklists and the performance levels of gifted students, which were measured by teachers in gifted classes. Findings of this study are the followings: First, all three checklists could statistically significantly predict the performance of gifted students in gifted programs, and the checklist B showed the highest predictability. Secondly, without the assistance by those checklists, teachers could not predict the performance level of gifted students. Lastly, teachers that were trained for educating gifted students could very effectively predict the performance of gifted students with the aid of those checklists while teachers without appropriate training could not at all even with the aid of those checklists.

The Verification of Korean Version Swallowing Disturbance Questionnaire (K-SDQ) (한국판 삼킴 곤란 척도(K-SDQ)의 번안본 검증)

  • Jung, SoWoon;Kim, JungWan
    • 재활복지
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    • v.22 no.4
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    • pp.43-58
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    • 2018
  • Swallowing disorders that can affect nutrient intakes and quality of life are commonly shown among the elderly as well as patients with neurogenic disorder. This study verifies the reliability and validity of the Swallowing Disturbance Questionnaire (SDQ), a subjective swallowing disability assessment tool, modified for Koreans' eating habit and cultural sentiment, against 105 stroke patients, in order to help identify early swallowing problems of the elderly. Reliability of internal consistency in the Korean version of SDQ is .601, test-retest reliability is .97, and concurrent validity is .956. Based on 8 points of cut-off score, 46.8% of sensitivity and 81.6% of specificity. Comparing the results of video fluoroscopic study (VFSS), an objective swallowing disorder test with those of Korean version of SDQ, negative predictive value (NPV) and positive predictive value (PPV) was shown as 81% and 53%. The Korean version of SDQ is expected to be a useful testing tool to discriminate swallowing disorders in stroke patients. It has great clinical significance in that swallowing difficulties shown by subjects can be sorted out to request a diagnostic assessment before clinical evaluation by a rehabilitation therapist or ruling out unnecessary exposure to additional tests by accurately identifying stroke patients without swallowing problems.

Verification and Evaluation of Spatial Structure Theory through Discrete Event Simulation (이산사건 시뮬레이션을 이용한 공간구조론의 검증 및 평가)

  • Yoon, So Hee;Kim, Suk Tae
    • Journal of Korea Multimedia Society
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    • v.19 no.12
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    • pp.2000-2013
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    • 2016
  • The purpose of this study is to validate the validity of the methodology for analyzing the space with complex characteristics and to evaluate the existing spatial structure analysis theory. Seven example models are designed and analyzed data of spatial syntax analysis and visibility graph analysis. And analyzed the agent-based model using two analytical methods: the adjacent space and the whole spatial connection. The results of this study are as follows. Based on the analysis of the agent - based model for perfectly freewalking, the validity of the method is verified in terms of predictive ability and effectiveness. Agent-based models can be simulated considering various variables, so realistic predictions will be possible and a new biography of complex systems can be met.

Human reliability growth in the absolute identification of tones (인간신뢰도 학습현상)

  • 박희석;박경수
    • Journal of the Ergonomics Society of Korea
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    • v.5 no.2
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    • pp.11-15
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    • 1986
  • In this paper, we consider the validity of a human probabilistic learning model applied to the perdiction of errors associated with the absolute identification of tones. It is shown that the probabilistic learning model describes the human error process adequately. The model parameters are estimated by two methods which are the method of maximum likelihood, and the method of mement. The MLE version of the model has the better predictive power but the ME version is more readily obtainable and may be more practical.

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The Application of Transition Probabilities Models on Estimating the Mobility of Industrial Manpower in Korea (산업인력(産業人力)의 이동(移動)에 관한 추이확률(推移確率) 모형(模型)의 응용(應用))

  • Gang, Jeong-Hyeok
    • Journal of Korean Society for Quality Management
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    • v.17 no.2
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    • pp.81-92
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    • 1989
  • A class of standard optimization techniques to estimate the stationary transition probabilities among states is discussed. With the use of aggregate time series data on employed labor in industrial sectors, the alternative restricted estimates including minimum absolute deviation, unweighted, weighted, generalized inverse, minimum chi-square and maximum likelihood are evaluated and compared. Analytic and numerical results are shown favorably with the viewpoint of the validity and predictive potentiality of model.

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Control of Three-Phase PWM Rectifiers Using Only DC-Side Sensors (직류측 센서만을 이용한 3상 PWM 정류기의 제어)

  • 이동춘
    • Proceedings of the KIPE Conference
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    • 2000.07a
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    • pp.278-281
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    • 2000
  • In this abstract a novel control scheme of voltage-source PWM rectifiers using only dc-side sensors is proposed. The phase currents are reconstructed from switching states of the rectifier and the dc output current. For effective current control the currents are estimated by a predictive state observer. Also both the phase angle and the magnitude of th source voltage are estimated by phase estimator and magnitude estimator respectively. The validity of the proposed ac sensorless technique is verified by experimental results.

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Analysis of the Predictive Validity of College Entrance Criteria

  • Bae, Hyun-Wung
    • Journal of the Korean Data and Information Science Society
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    • v.18 no.4
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    • pp.973-983
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    • 2007
  • Korea Military Academy has been using College Scholastic Ability Test(CSAT) and High School Grades(HSG) with other measures such as an Essay-type Test(ET), Physical Test(PT) and Personal Interview(PI) as criteria for entrance. The purpose of study is to investigate the properness of the criteria in admission decisions by examining the relationship between the college GPA and criteria, and the prediction of academic performance. The study showed that CSAT and HSG are significantly correlated with the college GPA, and these two criteria are better predictors for academic performance. Regression analysis also provided an important message that HSG is a better predictor than CSAT.

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Estimation for Two-Parameter Generalized Exponential Distribution Based on Records

  • Kang, Suk Bok;Seo, Jung In;Kim, Yongku
    • Communications for Statistical Applications and Methods
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    • v.20 no.1
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    • pp.29-39
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    • 2013
  • This paper derives maximum likelihood estimators (MLEs) and some approximate MLEs (AMLEs) of unknown parameters of the generalized exponential distribution when data are lower record values. We derive approximate Bayes estimators through importance sampling and obtain corresponding Bayes predictive intervals for unknown parameters for lower record values from the generalized exponential distribution. For illustrative purposes, we examine the validity of the proposed estimation method by using real and simulated data.