• Journal of Distribution Science
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• v.15 no.1
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• pp.115-121
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• 2017

Purpose - Although ensuring that all the organizational members know their roles exactly is an important part of managerial work, few studies address the role clarity in food manufacturing and distribution firms. Role clarity refers to the extent to which individuals clearly understand the tasks, duties, responsibilities, and expectations of their work roles (Hinkin & Schriesheim, 2008). The purpose of this study is to examine the effect of the role clarity on organizational commitment and the mediating role of creativity in the role clarity-organizational commitment relationship. Research design, data, and methodology - Data were collected from 297 employees in food manufacturing and distribution firms of Korea by self-evaluations questionnaires. The unit of the analysis for testing is an individual. We proposed four hypotheses: (1) is about the relationship between role clarity and organizational commitment, (2) is about the relationship between role clarity and creativity, (3) is about the relationship between creativity and organizational commitment, and (4) is about the mediating role of creativity. We conducted the hierarchical regression analysis for testing the main and mediating effects. Results - The results of the study indicated that the role clarity was positively associated with organizational commitment and creativity. Results also indicated that the creativity was positively associated with organizational commitment. Especially, the impact of the role clarity on organizational commitment was mediated by creativity. Conclusions - An important contribution of this study is extending prior theory on the relationship between role clarity and organizational commitment by shedding new light on assumptions regarding the mediating effect of creativity. The results demonstrate that the role clarity has an indirect effect as well as a direct effects on organizational commitment. Our research suggests important implications for organizations that pursue to stimulate their employees' creativity, emphasizing the importance of the role clarity. This study has several potential limitations. Maybe the most serious limitation is its cross-sectional study design. Another limitation is the use of employees' self-reports to measure the variables. In the future, researchers should employ a longitudinal study design and use diverse sources of data.

• Journal of The Korean Association For Science Education
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• v.22 no.2
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• pp.314-335
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• 2002

The purpose of this study was to investigate the effects of students' prior knowledge on scientific reasoning process performing a task of controlling variables with computer simulation and to identify a number of problems that students encounter in scientific discovery. Subjects for this study included 60 Korean students: 27 fifth-grade students from an elementary school; 33 seventh-grade students from a middle school. The sinking objects task involving multivariable causal inference was used. The task was presented as computer simulation. The fifth and seventh-grade students participated individually. A subject was interviewed individually while the investigating a scientific reasoning task. Interviews were videotaped for subsequent analysis. The results of this study indicated that students' prior knowledge had a strong effect on students' experimental intent; the majority of participants focused largely on demonstrating their prior knowledge or their current hypothesis. In addition, studnets' theories that were part of one's prior knowledge had significant impact on formulating hypotheses, testing hypothesis, evaluating evidence, and revising hypothesis. This study suggested that students' performance was characterized by tendencies to generate uninformative experiments, to make conclusion based on inconclusive or insufficient evidence, to ignore, reject, or reinterpret data inconsistent with their prior knowledge, to focus on causal factors and ignore noncausal factors, to have difficulty disconfirming prior knowledge, to have confirmation bias and inference bias (anchoring bias).

• Journal of Korean Elementary Science Education
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• v.22 no.2
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• pp.163-172
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• 2003

The purpose of this study was to develop the analytic framework of Creative Problem Solving(CPS) for elementary school science textbook. For this purpose, we developed the framework based on the theories of problem, definition of problem solving and various kinds of CPS model. The six elements of the framework for content analysis were extracted through theoretical examination: problem introduction, problem statement, solution thinking, formulating hypothesis, testing hypothesis, and assessment. The developed framework was applied to the extbooks for the 5th and the 6th grades 1st semester in elementary science textbook of the 7th national curriculum. The results of this study were as follows: 1. The scores of the framework for content analysis in the 5th grade were slightly higher than those of the 6th grade, but there were no significant difference. 2. The comparison of the scores between the elements of the framework was found that the scores on the elements of testing hypothesis and formulating hypothesis were higher than those of the other elements. 3. The comparison of the scores between the units was found that the scores of the framework for the 9th unit (“trip of water”) of the 5th grade were higher than those of the other units, which were presented lower level than 1.0 (50.0%) score of the framework. 4. The comparison of the scores between the intensive course and the regular coures in the 6th grade textbook was showed that the scores on the intensive course were higher than the basic course. In conclusions, it was found that the problem introduction and problem statement in the textbook should be amended, and that various information and activities should be presented in the textbook.

• Journal of Korean Physical Therapy Science
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• v.18 no.1
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• pp.33-49
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• 2011

The process of physical therapy uses a problem-solving approach to enhance a patients's functioning status. The International Classification of Functioning, Disability and Health(ICF) is the common concept for the functioning in the world. Physical therapists require the ability to identify problems, formulate hypothesis, and plan intervention strategies through clinical reasoning. In the clinical process, physical therapists need to use standard and common languages in speech and in documentation. The purpose of this study was to suggest the process of making strategy for efficient intervention, examining and evaluating the functional problem of the person with stroke using ICF tools. For the first step in this process model, therapists could list the information relating to functional problems used by the ICF Core set and then could identify the interaction among the problems using the ICF assessment sheet. For the next step, therapist is needed to make the hypothesis and hypothesis testing, and then set a primary functional goals and therapeutic goals in detail after prioritizing the problems to be managed based on the problem list. Finally, after setting the identified problems as the purpose of intervention through the hypothesis testing, therapist could do some intervention after making a plan to solve these problems, and find out the outcomes using the ICF evaluation display. This report illustrates how to apply the process based on ICF concept into physical therapy practice. Making a decision for the most efficient intervention requires that therapists use the clinical reasoning process based on ICF concept.

• Proceedings of the Korean Statistical Society Conference
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• 2002.05a
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• pp.67-72
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• 2002

A Bayesian testing procedure is proposed for assessment of bioequivalence in both mean and variance which ensures population bioequivalence under normality assumption. We derive the joint posterior distribution of the means and variances in a standard 2 ${\times}$ 2 crossover experimental design and propose a Bayesian testing procedure for bioequivalence based on a Markov chain Monte Carlo methods. The proposed method is applied to a real data set.

• Journal of the Korean Data and Information Science Society
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• v.14 no.2
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• pp.247-255
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• 2003

Hypothesis testing for the equality of two distributions were considered. Nonparametric kernel density estimates were used for testing equality of distributions. Cross-validatory choice of bandwidth was used in the kernel density estimation. Sampling distribution of considered test statistic were developed by resampling method, called the bootstrap. Small sample Monte Carlo simulation were conducted. Empirical power of considered tests were compared for variety distributions.

• Journal of the Korean Statistical Society
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• v.25 no.1
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• pp.95-110
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• 1996

We consider the question of efficiency of the Bayes sequential procedure with respect to the optimal fixed sample size Bayes procedure in a simple vs. simple testing problem for data coming from a general nonregular density b(.theta.)h(x)l(x < .theta.). Efficiency is defined in two different ways in these caiculations. Also, the minimax sequential risk (and minimax sequential stratage) is studied as a function of the cost of sampling.

• Journal of the Korean Statistical Society
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• v.29 no.4
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• pp.395-405
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• 2000

This article addresses the Bayesian hypothesis testing for the comparison of two exponential mans. Conventional Bayes factors with improper non-informative priors are into well defined. The fractional Byes factor(FBF) of O'Hagan(1995) is used to overcome such as difficulty. we derive proper intrinsic priors, whose Bayes factors are asymptotically equivalent to the corresponding FBFs. We demonstrate our results with three examples.

• Communications for Statistical Applications and Methods
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• v.13 no.3
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• pp.551-566
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• 2006

In this paper, we consider a Bayesian model selection for the intraclass correlation coefficient in familiar data. In particular, we compare two nested models such as the independence and intraclass models using the reference prior. A criterion for testing is the Bayesian Reference Criterion by Bernardo (1999) and the Intrinsic Bayes Factor by Berger and Pericchi (1996). We provide numerical examples using simulation data sets for illustration.

• International Journal of Reliability and Applications
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• v.1 no.1
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• pp.39-47
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• 2000

In a resent paper, Na and Kim(2000) develop a family of test statistics for testing whether or not the mean residual life changes its trend based on complete data and show that the new tests perform better than previously known tests. In this paper, we extend their tests to the randomly censored data. The asymptotic normality of the test statistics is established. Monte Carlo simulations are conducted to compare our tests with a previously known test by the power of tests.