• Bulletin of the Korean Chemical Society
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• v.34 no.4
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• pp.1131-1136
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• 2013

Parabens, the esters of p-hydroxybenzoic acid, have been widely used as antimicrobial preservatives in cosmetic products, drugs, and processed foods and beverages. However, some parabens have been shown to have weak estrogenic effects through in vivo and in vitro studies. Because such widespread use has raised concerns about the potential human health risks associated with exposure to parabens, we developed a simultaneous analytical method to quantify 4 parabens (methyl, ethyl, propyl, and butyl) in human urine, by using solid-phase extraction and high-performance liquid chromatography coupled with triple quadrupole mass spectrometry. This method showed good specificity, linearity ($R^2$ > 0.999), accuracy (92.2-112.4%), precision (0.9-9.6%, CV), and recovery (95.7-102.0%). The LOQs for the 4 parabens were 1.0, 0.5, 0.2, and 0.5 ng/mL, respectively. This method could be used for quick and accurate analysis of a large number of human samples in epidemiological studies to assess the prevalence of human exposure to parabens.

• Journal of the Korea Convergence Society
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• v.7 no.5
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• pp.145-153
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• 2016

The purpose of this study was using a meta-analysis to estimate effect size ACT intervention program. Using a statistical method, meta-analysis has advantages that prove intervention's amount and direction. Meta-analysis facilitates comprehensive analysis. Through the data collection, 43studies were selected and 183 effect size were calculated as analysis objects. Using a 183 effect size, the overall effect size, Effect Size of categorical Factor, meta-regression result were suggested. The overall effect size of ACT program was 0.704. In the effect area of ACT, the affective domain had the largest effect size. Next were the cognitive domain, the behavioral domain. Analysis on gender of participant, mixed group had the largest effect size. Next were the female grouop, male group. Analysis on age of participant, adult group had the largest effect size. Next were the undergraduate grouop, adolescent group. Based on the findings, implications for future study were discussed.

• Physical Therapy Rehabilitation Science
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• v.8 no.2
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• pp.112-123
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• 2019

Objective: Based on the results of previous studies, it is necessary to analyze gait and discuss and present the effects of aquatic exercise for chronic stroke. The purpose of this study was to present objective data on the effect of aquatic exercise on the gait of persons with stroke by performing a meta-analysis. Design: A systematic review and meta-analysis. Methods: We performed a meta-analysis of 23 studies that investigated the effects of aquatic exercise performed between 2006 and 2017. The studies were searched on the basis of the participants, intervention, comparison, outcomes standard. The quality of the research method was assessed using a tool that can assess the risks posed by each study design. A meta-analysis software program was used to calculate the mean effect size, effect size by intervention, and effect size by outcome. We also performed a meta-regression analysis and an analysis of publication bias. Results: The mean effect size of the patients' gait was 0.65 (p<0.05). The largest effect size by outcome was observed at the 6-m walk test, followed by the 6-minutes walk test, 10-m walk test, and the walking equipment test (p<0.05). The meta-regression analysis showed that the effect size increased with increased duration, number, and length of sessions. Conclusions: Aquatic exercise appears to show a moderate effect on the gait of chronic stroke survivors. Meta-analyses on the effects of aquatic exercise in other patient populations are needed. This study suggests standard criteria establishments for the effect of aquatic exercise on the walking ability of persons with chronic stroke.

• Journal of Family Resource Management and Policy Review
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• v.19 no.3
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• pp.1-16
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• 2015

The purpose of this study was to synthesize the results of studies on the effects of multi-cultural education program for Korean children. Using the author's own selection criteria, 17 studies were finally selected and 31 effect sizes were calculated from these studies and used for meta analysis. The overall effect size for all studies on the random effect model was .802, and it was positive and high. Given the heterogeneity among the effect size, subgroup analysis was conducted. According to the analysis, effect sizes significantly differed depending on program goal, concerned multi-cultural higher than others. Result also showed that the high scored effect sizes were the general family, pre-school age children group, and the program were 11-20 children group in size, and 11~20 times in frequency of education.

• Korea Journal of Hospital Management
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• v.23 no.2
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• pp.1-17
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• 2018

Purposes: Based on samples of government officials who are working at public health centers, following research examines the Effect of Organizational Justice on the relationships between Followership and Organizational Citizenship Behavior and analyzes the moderating effect of Leader-Member Exchange. Methodology: For the methods, Sphericity verification, Exploratory factor analysis, Correlation analysis, Causal relation, Mediating effect of followership and Moderating Effect of The Leader-Member Exchange have been analyzed with SPSS 22.0 & AMOS 22.0 Ver. Findings: As a result of Correlation analysis, Predictive validity and Construct validity have meaningful effect. Also, In case of Path analysis, distributive justice and interactional justice have meaningful effect but procedural justice has no such effect on Followership. As a result of Mediated effect of followership analysis, distributive and interactional justice have positive impact on (Organizational and Interpersonal). As to the mediation effect of followership analysis, It is shown that distributive and Followership have meaningful effect on In-group, not Out-group. Lastly, It is shown that procedural justice and Followership have no meaningful effect on both In-group and Out-group. Practical Implications: For the implications, distributive justice and interactional justice have positive impact on Followership, while procedural justice has no such impact on Followership. Also, It also possibly has same result to the moderating effect of Leader-Member Exchange. Consequently, It is recognized that a fair process without a fair result cannot be valued. also, We can know that reward for procedural justice is evaluated to kind of negative.

• Asia-Pacific Journal of Business
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• v.15 no.1
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• pp.159-177
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• 2024

Purpose - The purpose of this study is to reveal the effect of a High Performance Work System(HWPS) on research performance. In addition, this study examines the mediation effect of Innovation Commitment(IC) and the moderated mediation effect of Perceived Organizational Support(POS), and seeks to reveal the antecedents and boundary variables that affect research performance. Design/methodology/approach - The level of analysis is at the individual level. A survey was collected from researchers at government-funded research institutes in the Daejeon and Sejong areas. 265 questionnaires were used in the final statistical analysis. Confirmatory factor analysis was performed using the AMOS 21. Correlation analysis, regression analysis, and bootstrapping by Process Macro were performed using the SPSS 19. Findings - As a result of the study, HWPS has a positive effect on IC, and IC has a positive effect on research performance. Through this results, it was found that IC mediates the relationship between the HPWS and research performance. In addition, POS positively moderated the mediating effect of HPWS on research performance through IC. Research implications or Originality - First, IC can be increased through a HPWS. Second, the effect of the HWPS on individual research performance through IC provides implications that the HWPS can be effectively applied not only to general companies but also to research organizations. Third, the boundary effect of POS was revealed. Fourth, research performance was measured through objective quantitative indicators rather than subjective.

• The Journal of the Korea Contents Association
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• v.8 no.9
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• pp.259-273
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• 2008

This study aims to identify of customer features control the effect on revisit intention and switching intention. The statistical techniques used for this empirical analysis are frequency analysis, technology analysis, reliability analysis, factor analysis, confirmatory factor analysis along with path analysis and moderate regression analysis, which are based on structural model From the effect that customer features control the effect on switching barrier by switching intention, travel agencies has a control effect on 'financial switching costs' and 'relational switching costs', and airlines show they have control effect on 'relational switching costs.' In diversity pursuit factors, 'financial switching costs' and 'attractiveness of alternatives' have a meaningful control effect for travel agencies customers, while 'procedural switching costs' for airlines customers. In the analysis result of the effect that customer features control the effect on revisit intention by switching intention, 'percept' and 'diversity pursuit' have a meaningful control effect in travel agencies customers and airlines one, respectively.

• Journal of Information Technology Services
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• v.17 no.3
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• pp.37-51
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• 2018

Recently, cloud computing market is growing geometrically in both private and public area, and many global companies in various domains have developed and provided cloud computing services. In such situation, Korean government made multiple plans for domestic cloud computing industry. However, most research institutes have focused on market size and status information, which makes actual effectiveness of cloud computing service hard to recognize. In this study, we define cloud computing Industry by rearranging Input-Output table published by the Bank of Korea to use Input-Output Analysis. The Input-Output Analysis was devised in 1963 by Leontief and it is used in many fields of study until now. It produces various coefficients that are able to identify production-inducing effect, value-added effect, labor-inducing effect, front and rear chain effect. The analysis results show that production-inducing effect, front and rear chain effect of cloud computing industry is low compared to other industries. However, cloud computing Industry possesses relatively high value-added effect and labor-inducing effect. It is because industry magnitude of cloud computing is smaller than other industries such as manufacturing, chemical industries. The economic effects of the cloud computing industry are not remarkable, but this result is significant to emerging markets and industries and presents the fresh way of analyzing cloud computing research field.

• Journal of Climate Change Research
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• v.9 no.4
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• pp.407-421
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• 2018

In this paper, I analyze the GHG (greenhouse gas) emission factor of the domestic railway transportation sector using the LMDI (Log Mean Divisia Index) methodology. These GHG factors are the emission factor effect, energy intensity effect, transportation intensity effect, and economic activity effect. The analysis period was from 2011 to 2016, and the analysis objects were an intercity railway, wide area railway, and urban railway. The results show that the GHG emission of railway transportation sector decreased during these 6 years. The factors decreasing the GHG emission are the emission factor effect, energy intensity effect, and transportation intensity effect, while the factor increasing the GHG emission is the economic activity effect.

• The Journal of Industrial Distribution & Business
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• v.12 no.11
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• pp.17-31
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• 2021

Purpose: Despite the fact that face (i.e. Chemyon) is deeply-rooted in Korean culture and significantly affects the behavior of Korean people, the effect of face on leisure consumers' consumption behavior has only reported mixed findings, that is, significant and/or insignificant face effects have been reported. It is necessary to integrate prior research findings, and comprehensively examine the effect of face on leisure consumers' consumption behavior. The purpose of this study was to investigate the effect (i.e. effect size, and moderating variables) of face on leisure consumers' consumption behavior through meta-analysis. Research design, data and methodology: Among 1,019 face-related academic studies, retrieved from the academic research information services (RISS), 34 studies and 300 cases examining the effect of face on leisure consumers' consumption behavior were finally included for meta-analysis. Face measured as face sensitivity and/or a face sensitivity sub-component (shame-consciousness, formality-consciousness, and other-consciousness) were integrated in the meta-analysis. Leisure consumers' consumption behavior was classified as antecedents of purchase (overall conspicuous consumption tendency, overall symbolic consumption tendency, personality, high price, high quality, brand seeking, fashion seeking, enjoyment, other person (interpersonal) consideration, position, reference group, and attitude), purchase (purchase intention, unplanned purchase, purchase, and expenditure), and post-purchase (satisfaction, repurchase, and post-purchase). The data used in the meta-analysis was comprised of correlation coefficients, and the meta-analysis was performed using the R-program. Results: The overall mean effect size of face on leisure consumers' consumption behavior was .248. It was found that the effect size was the largest in the order of shame-consciousness face, formality-consciousness face, and other-consciousness face. Among the types of leisure consumers' consumption behavior categorized as dependent variables, the effect size was found to be largest in the order of position, attitude, reference group, post-purchase behavior, brand seeking, personality, trend seeking, etc. In addition, it was found that the leisure types moderated the effect size of face on leisure consumers' consumption behavior. The effect size was found to be largest in the order of skin diving, baseball, various leisure participation, dance, gambling, golf, etc. Conclusions: Face moderately or significantly influence leisure consumers' consumption behavior.