• Communications for Statistical Applications and Methods
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• v.5 no.2
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• pp.491-501
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• 1998

Motivated by bioequivalence studies which involve comparisons of pharmaceutically equivalent dosage forms, we propose a more general decision rule for showing equivalence simultaneously between multiple means and a control mean. Namely, this testing procedure is concerned with the situation in that one must make decisions as to the bioequivalence of an original drug product and several generic formulations of that drug. This general test is developed by considering a spherical confidence region, which is a direct extension of the usual t-based confidence interval rule formally approved by the U.S. Food and Drug Administration. We characterize the test by the probability of rejection curves and assess its performance via Monte-Carlo simulation. Since the manufacturer's main concern is the proper choice of sample sizes, we provide optimal sample sizes from the Monte-Carlo simulation results. We also consider an application of the generalized equivalence test to a repeated measures design.

• Korean Journal of Child Studies
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• v.20 no.3
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• pp.231-244
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• 1999

This study examined the effects of short and long term playing of video gamer on children's visual parallel processing. All of the 64 fourth grade subjects were above average in IQ. They were classified into high and low video game users. Instruments were a visual parallel processing task consisting of imagery integration items, computers, and the arcade video game, Pac-Man. Subjects were pre-tested with a visual parallel processing task. After one week, the experimental group played video games for 15 minutes, but the control group didn't play. Immediately following this, all children were post-tested by the same task used on the pretest. The data was analyzed by ANCOVA and repeated measures ANOVA. The results showed that relaying short-term video games improved visual parallel processing and that long term experience with video games also affected visual parallel processing. there were no differences between high and low users in visual parallel processing after playing short term video games.

• Korean Journal of Child Studies
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• v.17 no.1
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• pp.289-302
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• 1996

The purpose of the present study was to explore the development of knowledge about the appearance-reality distinction and its relation to children's developing theory of mind. The subjects were 90 children, 15 boys and 15 girls each at the ages of 3, 4, and 5. The performance of the appearance-reality distinction was compared on illusory object, color, pretend event, and picture tasks. The data were collected by individual testing and analyzed by two-way ANOVA with repeated measures. The results showed that there were significant differences between 3-and 4-year-olds in the appearance-reality distinction, while there was no significant difference according to gender or type of tasks. It was also found that children at the age of 3 and 4, committed phenomenism errors more often than intellectual realism errors, while 5 year olds did not show particular differences.

• Korean Journal of Child Studies
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• v.32 no.3
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• pp.43-57
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• 2011

This study examined preschoolers' compliance and noncompliance as it related to maternal behavior, child gender and age, and social context. The subjects were 213 preschool children in Seoul. Data were collected via questionnaires reported by mothers and teachers. The results of correlation analysis and a series of repeated measures ANOVA revealed that mothers' coercive parenting was associated with lower committed compliance and ignorant noncompliance. It was also found that the 5-year-olds studies showed higher committed compliance in moral situations whereas the 6-year-olds showed higher situational compliance in conventional situations. Noncompliance was more common among the 5-year-olds than the 6-year-olds. It was also found that girls exhibited higher compliance than boys in both moral and conventional contexts. The results were discussed in terms of a developmental perspective.

• Journal of the Korean Home Economics Association
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• v.40 no.11
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• pp.119-130
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• 2002

This study investigated preschool children's script knowledge according to task situation and socioeconomic status. Subjects were seventy-eight 5-year-old children (38 low- and 40 middle-income children; 36 boys and 42 girls) recruited from three day-care centers in Seoul. Each child participated in the script knowledge assessment session. Assessment of script knowledge consisted of a picture-recognition and picture-sequencing task. Statistical methods used for data analysis were means, standard deviations, repeated measures ANOVA. Results showed that children's script knowledge scores were higher in familiar task situation than in unfamiliar task situation. Furthermore, middle-income children had higher scores of script knowledge than low-income children. Findings of this study indicate that there is the difference of script knowledge between low- and middle-income preschoolers.

• Phonetics and Speech Sciences
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• v.3 no.4
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• pp.117-124
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• 2011

This study investigated the effects of the types of noise and signal to noise ratios (SNRs) on speech intelligibility of an adult with dysartrhia. Speech intelligibility was judged by 48 naive listeners using a word transcription task. Repeated measures design was used with the types of noise (multi-talker babble/environmental noise) and SNRs (0, +10 dB, +20 dB) as within-subject factors. The dependent measure was the percentage of correctly transcribed words. Results revealed that two main effects were statistically significant. Listeners performed significantly worse in the multi-talker babble condition than the environmental noise condition, and they performed significantly better at higher levels of SNRs. The current results suggested that the multi-talker babble and lower level of SNRs decreased the speech intelligibility of adults with dysarthria, and speech-language pathologists should consider environmental factors such as the types of noise and SNRs in evaluating speech intelligibility of adults with dysarthria.

• Journal of the Korean Data and Information Science Society
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• v.20 no.2
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• pp.445-452
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• 2009

Credibility models are actuarial tools to distribute premiums fairly among a heterogeneous group of policyholders. Many existing credibility models can be expressed as special cases of linear mixed effects models. In this paper we propose a nonlinear credibility regression model by reforming the linear mixed effects model through kernel machine. The proposed model can be seen as prediction method applicable in any setting where repeated measures are made for subjects with different risk levels. Experimental results are then presented which indicate the performance of the proposed estimating procedure.

• 대한예방의학회:학술대회논문집
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• 1999.10a
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• pp.177-178
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• 1999

• Journal of Acupuncture Research
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• v.27 no.3
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• pp.75-82
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• 2010

Objectives : This study was performed to investigate the effect of Jahyungchim(based on Needle-embedding therapy) for breast augmentation to 30~40's married female patients. Methods : Data were obtained from 40 female patients belonged to 75B or less size who had been treated Jahyungchim. We measured bust circumference(BC) and underbuys circumference(UC) and analyzed the statistical significance between BC and UC by repeated measures ANOVA. Results : BC and the difference between BC and UC were significantly increased and UC was significantly decreased by Jahyungchim. Conclusions : In this study, we can conclude that Jahyungchim has an effect on breast augmentation to 30~40's married female patients.

• Journal of the Korea Safety Management & Science
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• v.9 no.3
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• pp.165-171
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• 2007

Dependent models in quality statistics are classified as serially autocorrelated model, multivariate model and dependent sample model. Dependent sample model is most efficient in time and cost to obtain samples among the above models. This paper proposes to implement parametric and nonparametric models into production system depended on demand pattern. Nonparametric models have distribution free and asymptotic distribution free techniques. Quality statistical models are classified into two categories ; the number of dependent sample and the type of data. The type of data consists of nominal, ordinal, interval and ratio data. The number of dependent sample divides into 2 samples and more than 3 samples.