• Korean Journal of Child Studies
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• v.32 no.3
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• pp.59-76
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• 2011

The purpose of this study was to investigate how a child's temperament and child-mother goodness of fit affect the child's self-perception. 165 pairs of 5-year-old children and their mothers were recruited. The mothers were asked to answer the questionnaire on her child's temperament and goodness of fit. Each child participated in a semi-structured interview using two identical puppets to measure the children's self-perception. The results of this study were : (1) All of mean scores on the dimensions of children's self-perception were above the median, children in this study perceived themselves positively. (2) Children's positive self-perception was significantly related to harmonious children-mother goodness of fit. (3) The effect of goodness of fit was higher than temperament in all dimensions of self-perception. The sex variable also affects aggression-hostility and academic competence. This study suggests that the effect of goodness of fit was higher than that of temperament, and the importance of a harmonious children-mother relationship and parenting education, and these conclusions were reached by examining the outstanding effect of the goodness of fit.

• Korean Journal of Child Studies
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• v.31 no.5
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• pp.151-165
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• 2010

The purpose of this study was to examine the relationships between child-mother 'goodness-of-fit', mothers' empathy and parenting stress. A sample of 324 mothers of 5th graders in the Seoul Metropolitan area participated in this study. Mothers answered questionnaires on the levels of their parenting stress, empathy and child-mother 'goodness-of-fit'. Data were analyzed using Pearson's correlation coefficients, as well as multiple and hierarchical regressions. Child-mother 'goodness-of-fit', as well as mothers' empathy was a predictor for parenting stress; significant interaction effects were found between child-mother 'goodness-of-fit' and the mothers' empathy on parenting stress. These results indicate the need for possible intervention in relation to mothers' empathy levels and to reduce parenting stress.

• Communications for Statistical Applications and Methods
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• v.7 no.3
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• pp.811-816
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• 2000

The purpose of this paper is to study of data-driven smoothing goodness of it test, when the hypothesis is complete. The smoothing goodness of fit test statistic by nonparametric function estimation techniques is proposed in this paper. The results of simulation studies for he powers of show that the proposed test statistic compared well to other.

• Journal of the Korean Data and Information Science Society
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• v.24 no.6
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• pp.1465-1475
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• 2013

The chi-square type test statistic is the most commonly used test in terms of measuring testing goodness-of-fit for multinomial logistic regression model, which has its grouped data (binomial data) and ungrouped (binary) data classified by a covariate pattern. Chi-square type statistic is not a satisfactory gauge, however, because the ungrouped Pearson chi-square statistic does not adhere well to the chi-square statistic and the ungrouped Pearson chi-square statistic is also not a satisfactory form of measurement in itself. Currently, goodness-of-fit in the ordinal setting is often assessed using the Pearson chi-square statistic and deviance tests. These tests involve creating a contingency table in which rows consist of all possible cross-classifications of the model covariates, and columns consist of the levels of the ordinal response. I examined goodness-of-fit tests for a proportional odds logistic regression model-the most commonly used regression model for an ordinal response variable. Using a simulation study, I investigated the distribution and power properties of this test and compared these with those of three other goodness-of-fit tests. The new test had lower power than the existing tests; however, it was able to detect a greater number of the different types of lack of fit considered in this study. I illustrated the ability of the tests to detect lack of fit using a study of aftercare decisions for psychiatrically hospitalized adolescents.

• Korean Journal of Child Studies
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• v.15 no.1
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• pp.145-157
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• 1994

This research focused on the examination of a "Goodness of Fit" model with reference to the interaction effects of temperament and context. Two hundred forty 5th graders from urban and rural areas were administered the EAS (Emotionality, Activity, Sociability) and the Perceived Competence scales. The degree of satisfaction of mothers with their children's temperament was assessed for the context measure. Results of hierarchical multiple regression analyses showed that the interaction of children's emotion and mothers' satisfaction with children's emotion explained perceived social competence and general self-worth. This result supported the goodness of fit model. However, interaction effects were not found in children's perception of cognitive and physical competence. Also, children's activity and sociability showed strong main effects on perceived competence. It implies that activity and sociability should be applied to the personological model. The implication of the findings for following studies of goodness of fit model were discussed.

• Korean Journal of Childcare and Education
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• v.13 no.1
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• pp.43-63
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• 2017

Objective: The goal of this study was to clarify the differences in children's child care center adjustment depending on child-mother's goodness of fit. Methods: A total of 478 subjects, 239 dyads of 3 and 4 year old children and their mothers and 16 teachers participated in this study. The instruments used in this study were the DOTS-R, EAS Scale and PAQ. The collected data were analyzed using a t-test, Anova, and regression with the SPSS. Results: First, mother's demand was significantly different only with regard to the income level. Second, mother's temperament and mother's demand were positively correlated and the mother's demand was influenced by the mother's temperament. Third, mother's demand according to children's gender was indicated to differ significantly. Fourth, children's temperament and mother's demand were positively correlated and mother's demand was influenced by children's temperament. Finally, ego strength according to active and adoptive temperaments in child-mother's goodness of fit had significant differences. In addition, prosocial behavior according to regular temperament of child-mother's goodness of fit was indicated to have a significant difference. Conclusion/Implications: This study suggests that it is important for mothers to understand and appropriately demand the temperament of the children in the adaptation of the child care center.

• Journal of applied mathematics & informatics
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• v.26 no.1_2
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• pp.177-189
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• 2008

In this paper, we have considered an investigation on goodness of fit tests based on divergence measures. In the case of categorical data, under certain regularity conditions, we obtained asymptotic distribution of these tests. Also, we have proposed a modified test that improves the rate of convergence. In continuous case, we used our modified entropy estimator [10], for Kullback-Leibler information estimation. A comparative study based on simulation results is discussed also.

• International Journal of Reliability and Applications
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• v.8 no.1
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• pp.41-51
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• 2007

In this paper, we use the moments of order statistics derived by Lieblein (1955) to develop the correlation goodness-of-fit test for the Rayleigh distribution. In such we simulate the percentage points of the test statistics for the one-parameter and two-parameter cases. In addition, we calculate the power of the proposed tests based on some alterative distributions. Finally, we apply the procedures developed in the paper to some real data.

• Journal of the Korean Data and Information Science Society
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• v.6 no.1
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• pp.31-37
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• 1995

We consider density estimates of the usual type generated by a kernel function. By using the limit theorems for the maximum of normalized deviation of the estimate from its expected value, we propose to use data dependent bandwidth in the tests of goodness of fit based on these statistics. Also a small sample Monte Carlo simulation is conducted and proposed method is compared with Kolmogorov-Smirnov test.

• The Korean Journal of Applied Statistics
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• v.25 no.2
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• pp.321-330
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• 2012

In this paper we study some basic statistics in quantile regression. In particular, we investigate the residual, goodness-of-fit statistic and the effect of one or few observations on estimates of regression coefficients. In addition, we compare the proposed goodness-of-fit statistic with the statistic considered by Koenker and Machado (1999). An illustrative example based on real data sets is given to see the numerical performance of the proposed basic statistics.