• Journal of the Korean Data and Information Science Society
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• 제22권3호
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• pp.487-494
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• 2011

본 연구는 글로벌 스포츠리더 양성의 기반이라 할 수 있는 스포츠영재의 심리사회특성을 알아보는데 있어 기본적인 요인인 자아존중감의 문항적합도를 파악하기 위한 목적으로 이루어졌다. 이를 위해 한국체육대학교 2010년 체육영재양성사업에 참여하여 체육영재로 선발된 아동 50명에 대해 설문을 실시하고 통계분석 하였다. 조사도구로는 Rosenberg (1965)의 자아존중감 척도를 사용하였으며, 총 8문항에 대해 4점 리커트 척도로 응답하도록 하였다. 점수가 높을수록 자아존중감 정도가 높음을 의미하며, 본 연구에서 신뢰도인 크론바 알파는 .785였다. SPSS 18.0을 사용하여 빈도분석, 기술통계, 신뢰도 분석을 수행하였다. 문항적합도를 산출하기 위하여 WINSTEPS 3.70 (Linacre, 2010)을 사용하여 피험자신뢰도, 문항신뢰도, 척도수의 적절성, 문항적합도와 문항난이도, 척도의 난이도에 따른 적절성을 산출하였다. 연구목적에 따른 통계분석 결과 첫째, 자아존중감 피험자 신뢰도는 내-외적합도 1.01~1.03 문항신뢰도는 내-외적합도 1.01~1.01로 적합하였다. 둘째, 척도 범주수의 적절성에서는 단계지수로 판단한 결과 4점척도가 적합하였다. 셋째, 문항적합도와 문항난이도분석에서는 문항 2, 7, 8번 3문항에서 문제점이 발견되었다. 넷째, 척도의 적절성에서는 스포츠영재의 능력분포와 척도자체의 난이도면에서 판단할 때, 2, 7, 8번 문항은 적절하지 못한 것으로 확인되었다.

• 한국콘텐츠학회:학술대회논문집
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• 한국콘텐츠학회 2016년도 춘계 종합학술대회 논문집
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• pp.387-388
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• 2016

Kwon (2015) was developed Employment Promotion Tool for Persons with Disabilities in the Aspect of the Quality of Life(QOL-EPAT). But its reliability and validity have not been verified yet. Therefore, this study aimed to verify the reliability, content validity and construct validity of QOL-EPAT. This study was conducted with a disability employment specialists. Period May to October 2015, six months, was distributed to collect the questionnaire. Reliability of QOL-EPAT was estimated using the internal consistency method; both the coefficient of Cronbach's ${\alpha}$ were over 0.7. Construct Validity; Construct validity was verified using structural equation modeling (SEM). Goodness of fit index (GFI), Adjusted goodness of fit index (AGFI), comparative fit index (CFI), tucker-Lewis index (TLI) and root mean square error of approximation (RMSEA) are the suitability indices of SEM. As the result, GFI=0.898; AGFI=0.844; CFI=0.961; TLI=0.949 and RMSEA=0.069. The validity was verified because the values of GFI, AGFI, CFI, TLI and RMSEA were within the goodness-of-fit range. Thus, impaired employs promoters of Japan also provided which allows for analysis of the policy by using a validated scale.

• Journal of the Korean Statistical Society
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• 제12권1호
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• pp.24-35
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• 1983

In fitting models to data, selection of the most desirable estimation method and determination of the adequacy of fitted model are the central issues. This paper compares the maximum likelihood estimators and the minimum logit chi-square estimators, both being best asymptotically normal, when logit models are fitted to infant mortality data. Chi-square goodness-of-fit test and likelihood ratio one are also compared. The analysis infant mortality data shows that the outlying observations do not necessarily result in the same impact on goodness-of-fit measures.

• Communications for Statistical Applications and Methods
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• 제14권3호
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• pp.623-632
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• 2007

Some tests of the goodness of fit of the uniform distribution between 0 and 1 are presented. The powers of the tests under certain alternatives are examined. As a result, the statistic based on the difference between the order statistics and the modal value of them gives good powers. We also give modifications of the statistic without using the extensive tables of the critical points.

• Communications for Statistical Applications and Methods
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• 제4권2호
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• pp.435-444
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• 1997

The objective of this study is to investigate the problem of goodness of fit testing based on nonparametric function estimation techniques for the random censorship model. The small and large sample properties of the proposed test, $E_{mn}$, were investigated and it is shown that under the proportional hazard model $E_{mn}$ has higher power compared to the powers of the Kolmogorov -Smirnov, Kuiper, Cramer-von Mises, and analogue of the Cramer-von Mises type test statistic.

• Communications for Statistical Applications and Methods
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• 제5권3호
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• pp.935-944
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• 1998

This paper investigates the problem of goodness of fit tests for no effect model. The proposed test statistic $Z_{mn}$ is obtained by multiplying constant on the model free curve estimation techniques. The small and large sample properties of$Z_{mn}$ are investigated and the good results of power studies for the proposed test are illustrated.

• Journal of the Korean Statistical Society
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• 제30권4호
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• pp.645-660
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• 2001

In this paper we propose a goodness-of-fit test statistic for testing the (null) parametric model versus the (alternative) nonparametric model. Most of existing nonparametric test statistics are based on the residuals which are obtained by regressing the data to a parametric model. Our test is based on the bootstrap estimator of the probability that the smoothing parameter estimator is infinite when fitting residuals to cubic smoothing spline. Power performance of this test is investigated and is compared with many other tests. Illustrative examples based on real data sets are given.

• Journal of applied mathematics & informatics
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• 제5권2호
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• pp.489-498
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• 1998

The influence of observations the on the goodness-of-fit test in maximum likelihood factor analysis is investigated by using the local influence method. under an appropriate perturbation the test statistic forms a surface. One of main diagnostics is the maximum slope of the perturbed surface the other is the direction vector cor-responding to the curvature. These influence measures provide the information about jointly influence measures provide the information about jointly influential observations as well as individ-ually influential observations.

• Journal of the Korean Data and Information Science Society
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• 제10권1호
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• pp.1-10
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• 1999

Table of the empirical quantiles for the well known Shapiro-Francia W' goodness of fit statistic is produced which is more accurate than the existing ones. Prediction equation for the quantiles of W' statistic for sample sizes 30 or more we developed. The process of computing the expected values for the standard normal variate is discussed. This work is intended to make the Shapiro-Francia W' statistic more accessible to the practitioner.

• Communications for Statistical Applications and Methods
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• 제12권2호
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• pp.521-529
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• 2005

In this paper, we consider a bootstrap method to the 'row and column effects model' (RC model) to analyze a contingency table with ordered variables. We propose a bootstrap procedure for testing of independence, equality of intervals, and goodness of fit in the RC model. A real data example is included.