• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.11
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• pp.6756-6766
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• 2014

The aim of this study was to validate the influence from academic stress caused by the achievement pressure of their parents and the adjustment effect of self-differentiation. The data was collected from 257 students from the 19th of May, 2014 to the 30th of May, 2014 for freshmen and sophomores of a college in the Kyoungbook region to validate the study. The SPSS/PC 18.0 program was used for the statistical analysis. Hierarchical multiple regression analysis revealed more less influence of academic stress caused by the achievement pressure((${\beta}=.111$, p<0.05) of their parents but there was no reasonable value in validating the adjustment effect to reduce the academic stress by self-differentiation, i.e., it should be a non-linear and complex effect rather than a simple linear relationship for self-differentiation.

• JSTS:Journal of Semiconductor Technology and Science
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• v.16 no.5
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• pp.713-718
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• 2016

Predicting precise specifications of differential mixed-signal circuits is a difficult problem, because analytically derived correlation between process variations and conventional specifications exhibits the limited prediction accuracy due to the phase unbalance, for most self-tests. This paper proposes an efficient prediction technique to provide accurate specifications of differential mixed-signal circuits in a system-on-chip (SoC) based on a nonlinear statistical nonlinear regression technique. A spectrally pure sinusoidal signal is applied to a differential DUT, and its output is fed into another differential DUT through a weighting circuitry in the loopback configuration. The weighting circuitry, which is employed from the previous work [3], efficiently produces different weights on the harmonics of the loopback responses, i.e., the signatures. The correlation models, which map the signatures to the conventional specifications, are built based on the statistical nonlinear regression technique, in order to predict accurate nonlinearities of individual DUTs. In production testing, once the efficient signatures are measured, and plugged into the obtained correlation models, the harmonic coefficients of DUTs are readily identified. This work provides a practical test solution to overcome the serious test issue of differential mixed-signal circuits; the low accuracy of analytically derived model is much lower by the errors from the unbalance. Hardware measurement results showed less than 1.0 dB of the prediction error, validating that this approach can be used as production test.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.9 no.10
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• pp.3908-3920
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• 2015

In this paper, performance analysis of full-duplex (FD) relay selection under decode-and-forward (DF) relaying mode is carried out by taking into account several critical factors, including the distributions of the received signal-to-noise ratio (SNR) and the outage probability of wireless links. The tradeoff between the FD and half-duplex (HD) modes for relay selection techniques is also analyzed, where the former suffers from the impact of residual self-interference, but the latter requires more channel resources than the former (i.e., two orthogonal channels are required). Furthermore, the impact of optimal power allocation (OPA) on the proposed relay-selection scheme is analyzed. Particularly, the exact closed-form expressions for outage probability of the proposed scheme over Rayleigh fading channels are derived, followed by validating the proposed analysis using simulation. Numerical results show that the proposed FD based scheme outperforms the HD based scheme by more than 4 dB in terms of coding gain, provided that the residual self-interference level in the FD mode can be substantially suppressed to the level that is below the noise power.

• Journal of The Korean Association For Science Education
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• v.34 no.7
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• pp.693-701
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• 2014

Based on social cognitive theory, self-efficacy in the context of learning has been steadily emphasized as an indicator of students' motivation and performance. The premise for developing such an instrument was that a specific measure of Physics self-efficacy was deemed to be an important predictor of the change processes necessary to improve students' physics understanding. In this study we described the process of developing and validating an instrument to measure students' beliefs in their abilities to perform essential tasks in physics and then investigated high school students' self-efficacy about physics learning and performance. Validity and reliability of PSEI were tested using various statistical techniques including the Cronbach alpha coefficient, exploratory factor analysis. The result of factor analysis supported the contention that the Physics Self-Efficacy Inventory (PSEI) was a multidimensional construct consisting of at least four dimensions: understanding and application of Physics concepts, achievement motivation, confidence for physics laboratory, confidence for Mathematics. The result showed that Kroean high schools students have low Physics self-efficacy for the all four dimensions. Therefore, researchers should focus on development of students' Physics self-efficacy. In addition, the instrument may lead to further understanding of student behavior, which in turn can facilitate the development of strategies that may increase students' aspiration to understand and study Physics. More specifically, by using the PSEI as a pre- and post-test indicator, instructors can gain insight into whether students' confidence levels increase as they engage in learning Physics, and, in addition, what type of teaching strategies are most effective in building deeper understanding of Physics concepts.where they freely exchanged opinions and feedback for constructing better collective ideas.

• Journal of Digital Convergence
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• v.18 no.8
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• pp.321-330
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• 2020

This study was conducted to provide the basis for the establishment of various youth policies by analyzing and validating the mediated effects of ego resilience on the impact of adolescents' self-rated health on life satisfaction. The population consisted of a nationally representative sample of adolescents(n=1,979) in high school first grade student who completed the Korean Children and Youth Panel Survey(KCYPS) in 2016. The study analyzed the data by descriptive analysis, t-test, ANOVA, Pearson's correlation coefficients and path modeling, using the SPSS and AMOS program. The result is following; Self-rated health has significant effects of ego-resilience(β=.26, p<.05). Self-rated health(β=.18, p<.05) and ego-resilience(β=.45, p<.05) have shown significant implications for life satisfaction. In addition, ego-resilience have been shown to be partial mediation effect between Self-rated health and life satisfaction. The results revealed that the adolescents who scored high on self-rated health were better the life satisfaction, and ego-resilience partially mediated the relationship between self-rated health and life satisfaction in adolescents. In order to increase the life satisfaction for adolescent, it was confirmed that a multi-dimensional approach is needed to consider the self-rated health as well as self-resilience.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.5
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• pp.227-236
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• 2016

This study tested the effects of stress on smartphone addiction via depression and self-efficacy among college students, and the analysis results were as follows: setting mediator and extra variables significantly correlated with the criterion variable as covariates and applying the regression analysis and SPSS Macro as well as bootstrapping method, to verify the mediating effects of depression and self-efficacy in stress and smartphone addiction. This study analyzed the direct effects of stress on the depression, self-efficacy, and smartphone addiction of college students and found that stress had direct effects on their depression and self-efficacy and also indirect effects on their smartphone addiction via depression and self-efficacy. Both depression and self-efficacy had dual and partial mediating effects on the influences of stress on their smartphone addiction. Stress had significant dual mediating effects on their smartphone addiction via the indirect paths of depression and self-efficacy, and high stress also had significant direct effects on their smartphone addiction, thus validating the dual mediation model. These findings demonstrate the need to develop programs to mitigate the stress and depression of college students and enhance their self-efficacy in order to reduce their smartphone addiction.

• Journal of Korean Academy of Nursing
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• v.50 no.3
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• pp.444-458
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• 2020

Purpose: The purpose of this study was to develop the Job Esteem Scale for Korean Nurses (JES-KN) and verify its validity and reliability. Methods: Preliminary items were based on the attributes and indicators elicited from a concept analysis study on Korean nurses' job-esteem. The final preliminary tool for the main survey was confirmed through the content validity test of 10 experts and preliminary survey of 20 hospital nurses. The final preliminary scale was used on 350 hospital nurses in the scale testing phase for the main survey designed to test the validity and reliability of the scale. Results: The final scale consisted of 28 items and 6 factors, these factor explained 66.6% of the total variance. The correlation between the total score and factors ranged from .64 and .84, validating that each sub-factor is suitable to explain job esteem. The correlation coefficient between this scale and the Job Satisfaction Scale for Clinical Nurses ranged from .41 to .70, and the internal consistency for the scale using Cronbach's α for the total items was .94. Conclusion: The JES-KN is a valid and reliable tool that reflects the reality of clinical sites accordingly. The JES-KN may well be used effectively to assess and evaluate the job esteem of Korean nurses.

• Journal of Korean Academy of Nursing Administration
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• v.18 no.2
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• pp.234-243
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• 2012

Purpose: This study was done to: (a) examine relationships between creative nursing practice and job satisfaction, and organizational commitment that nurses perceive in a hospital, and (b) identify creative nursing practice factors affecting job satisfaction and organizational commitment. Method: Using self-report questionnaires including 25 items of the Creative Nursing Practice Index, a descriptive study was conducted with a sample of 387 nurses working in the nursing care units of a general hospital in Seoul, Korea. Data were analyzed, using independent t-test, ANOVA, Pearson correlation, and hierarchical multiple regression analysis. Result: The mean score for nurses performance of creative practice was $2.29{\pm}0.46$ (range 1 to 4). Creative nursing practice had positive correlation with nurses' job satisfaction (r=.427, p<.001) and organizational commitment (r=.433, p<.001). Creative nursing practice factors influencing job satisfaction were implementing customized care (${\beta}$=.158, p=.010), making new knowledge (${\beta}$=.257, p<.001), and searching ideas (${\beta}$=.209, p<.001). Nurses' organizational commitment was influenced by implementing customized care (${\beta}$=.192, p=.002), making new knowledge (${\beta}$=.158, p=.028), searching ideas (${\beta}$=.254, p<.001), sharing ideas (${\beta}$=.250, p=.003), and validating ideas (${\beta}$=.189, p=.036). Conclusions: The results indicate a need to develop nurses' creative competency to pursue quality care as well as increase nurses' job satisfaction and organizational commitment.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.10
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• pp.197-205
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• 2021

This study aims to investigate factors influencing customer behavior towards nylon bags and single-use plastics. These factors are environmental protection awareness, health protection awareness, sense of responsibility, expectations, and green marketing. A quantitative method with the use of surveys is deployed to collect data of young people under 30, generating 1650 valid responses. The collected data is then analyzed with SPSS 22, using Cronbach's Alpha and Exploratory Factor Analysis to test the reliability of the model before validating the hypotheses by regression analysis. The study found that the majority of respondents are inclined to use plastic bags, despite their environmental awareness. The results also demonstrate that health consciousness, environmental concerns, self-driven responsibility for the sustainability of young people have a significant impact on their behaviors in using nylon bags and plastic products, whereas expectation and green marketing are confirmed not to be the factors. The study suggests that if green marketing is to gain higher influence, an increase in research and development to support other environmentally friendly packaging would be the right path. Finally, this research proposes some feasible recommendations for the government, which include imposing bolder and more targeted environmental policies on consumers and introducing educational campaigns to raise awareness about minimizing plastic consumption.

• Educational Technology International
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• v.21 no.1
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• pp.1-29
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• 2020

Despite the existing body of literature focusing on the effects of one-to-one mobile technology integration in teaching and learning, research discussed that the determinants of mobile technology acceptance and use in secondary school settings are still unclear. Hence, this study examined the extent to which determinants influence high school students' behavioral intention to use one-to-one mobile technology for learning. The newly proposed model incorporated three additional constructs beyond those in the unified theory of acceptance and use of technology (UTAUT) model, including computer self-efficacy, attitude toward using technology and computer anxiety, as suggested by recent literature. Data were collected from 247 U.S. Midwestern high school students who participated in an online survey. Using a structural equation modeling approach, this study established construct validity for the nine-construct extended UTAUT model to assess high school students' intention to use mobile technology. The results of structural relations in the proposed model showed that their behavioral intention to use mobile technology was significantly predicted by social influence and attitude toward using technology. Also, their strong behavioral intention and facilitating conditions were associated with frequent use of mobile technology in learning. Discussion, implications, and conclusion were addressed in this study.