• Title/Summary/Keyword: descriptive model

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A Structural Equation Model on Korean Adolescents' Multi-cultural Acceptance (청소년의 다문화 수용성 구조 모형 구축)

  • Lee, Ha-na
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.19 no.2
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    • pp.302-310
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    • 2018
  • This study was conducted to develop a unified structural model that defines relationships among factors that affect Multi Cultural Acceptance (MCA) for adolescents. This study was performed using the dataset from the 2016 Korean Children and Youth Panel Survey (KCPS). We analyzed the survey result from the dataset at the 0.05 significance level using the SPSS and AMOS version 22 programs. Specifically, we investigated several demographic characteristics of the survey participants by a descriptive analysis method that adopted the maximum likelihood estimate method to verify the fitness of the hypothetical model and the hypotheses therein. In addition, we applied the ${\chi}^2$-test, GFI, AGFI, CFI, IFI, and RMSEA to show the fitness level of our structural model. The results showed that our proposed structural model demonstrated a fine fitness level. We found that key factors that affect MCA for adolescents were ego-resilience, peer relationships, and sense of community. Overall, the results of our study indicate that combinational intervention is needed to help adolescents lift their ego-resilience, as well as to develop peer relationships and a sense of community.

The Impact of Information Technology on Organizational Performance: The Mediating Effect of Organizational Learning

  • KHAN, Umair;ZHANG, Yongan;SALIK, Madiha
    • The Journal of Asian Finance, Economics and Business
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    • v.7 no.11
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    • pp.987-998
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    • 2020
  • This study aims to examine OL as a potential mediating variable in the relationship between IT and organizational performance. Organizational learning (OL) has been proposed as the mechanism to accomplish this task. Existing empirical research demonstrates that OL may indeed act as a mediator for the effect of IT on organizational outcomes. Also, existing literature discusses the use of technology in the organization, and the case for OL as the key knowledge process, and the intersection between technology and OL as a knowledge-based means for improving organizational performance. Many studies use a descriptive measure of OL despite the theory suggesting that a normative measure may be more appropriate. This study aims to address these concerns in a setting by using structural equation modelling (SEM) to compare the effectiveness of descriptive and normative measures of OL as mediating variables in knowledge-intensive organizations. Survey results support OL as a mediator between IT and organizational performance in addition to normative measures of OL outperforming descriptive measures. Implications for research and practice are discussed. To test the model, we will apply (SEM) structural equation modeling in the analysis of a moment structures (AMOS) on the empirical evidence collected from 218 Pakistani CEOs and top managers.

Motivation Dynamics : System Dynamics Approach for Analyzing Dynamic Motivation Model Using VENSIM (모티베이션 다이내믹스 : VENSIM을 이용한 성취동기모형의 시스템 다이내믹스 분석)

  • 손태원;정한규
    • Korean System Dynamics Review
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    • v.1 no.1
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    • pp.57-79
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    • 2000
  • Most model constructs in organization studies are descriptive in nature, and the conclusions relating to the model behavior over time are speculative. The usefulness of System Dynamics as a methodology for modeling and testing dynamic behavioral hypotheses in organizational behavioral studies is presented, and how to construct a System Dynamics model using simulation software(VENSIM) is shown, The well-know March and Simon motivation model is used to demonstrate the step by step application of System Dynamics to model of this type. The dynamic behavior of the model, both transient and steady state, is obtained, Even though the paper has focused on one model in the area of individual behavior, the approach is general and can be applied to other areas of organizational behavior as will. The usefulness of System Dynamics as a methodology for theory building is identified as well.

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Intensive Care Unit Nurses' Death Perception, End of Life Stress and End of Life Nursing Attitudes (중환자실 간호사의 죽음에 대한 인식, 임종간호 스트레스 및 임종간호 태도에 관한 연구)

  • Kim, Sera;No, Mi Jin;Moon, Kyung Eun;Cho, Hee Ju;Park, Young;Lee, Nam Joo;Lee, Soon Haeng;Shim, Mi Young
    • Journal of Korean Clinical Nursing Research
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    • v.24 no.2
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    • pp.255-262
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    • 2018
  • Purpose: This study aimed to identify the view of life and death among ICU nurses and to analyze the problems related to end-of-life care in the current ICUs. Methods: A descriptive study design was used. The participants were 975 nurses working in the intensive care units of 16 general hospitals. Using a descriptive survey design, data were collected from August to December in 2016 and were analyzed using descriptive statistics, t-test, ANOVA, correlation analysis, and multiple regression analysis. Results: As a result of a correlation analysis of the data, Death perception had a significant positive correlation with EOL of nursing attitudes(r=.100, p=.002), and negative correlation with EOL stress care(r=-.221, p=<.001). The regression model explained for individual characteristics in the model, age(${\beta}=.126$, p<.001) and death perception(${\beta}=.182$, p<.001), Satisfaction of the EOL care(${\beta}=.173$, p<.001), Healing training needs on the EOL(${\beta}=-.144$, p<.001) were the most influential factors for EOL stress. Conclusion: Results reveal that ICU nurses have a moderate level of EOL stress, and that individual, age, death perception, Satisfaction of the EOL care, Healing traning needs on the EOL relevant in ICU nurses' EOL stress. Programs or interventions to reduce EOL stress and to should be developed taking into account these multidimensional factors.

Design and Weighting Effects in Small Firm Server in Korea

  • Lee, Keejae;Lepkowski, James M.
    • Communications for Statistical Applications and Methods
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    • v.9 no.3
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    • pp.775-786
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    • 2002
  • In this paper, we conducted an empirical study to investigate the design and weighting effects on descriptive and analytic statistics. The design and weighting effects were calculated for estimates produced from the 1998 small firm survey data. We considered the design and weighting effects on coefficients estimates of regression model using the design-based approach and the GEE approach.

Exploring the Normative Factors in Organizational Learning (규범적 학습요인의 탐색)

  • Hong, Min Kee
    • Korean System Dynamics Review
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    • v.15 no.4
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    • pp.129-159
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    • 2014
  • This Study discuss exploring normative-prescriptive factors after the themes on Organizational learning categorize two descriptive/explanatory-perspectives, prescriptive/normative dimension. The former would contain information processing model, theory of action, organizing in organization, while Senge's suggestion on Learning Organization may compose the latter. Each perspective is reconstructed and reinterpreted into the causal mapping relationship founded on system thinking and SD. Underlying on the former try to discovery validities of the latter. But this study only put forward the integral-dynamic model of organizational learning without empirical simulation.

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Comparison of Regression Model Approaches fined to Complex Survey Data (복합표본조사 데이터 분석을 위한 회귀모형 접근법의 비교: 소규모사업체조사 데이터 분석을 중심으로)

  • 이기재
    • Survey Research
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    • v.2 no.1
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    • pp.73-86
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    • 2001
  • In this paper. we conducted an empirical study to investigate the design and weighting effects on descriptive and analytic statistics. We compared the regression models using the design-based approach and the generalized estimating equations (GEEs) approach with the model-based approach through the design and weighting effects analysis.

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Exploration of Isovist Fields to Model 3D Visibility With Building Facade

  • Chang, Dong-Kuk;Park, Joo-Hee
    • Architectural research
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    • v.13 no.3
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    • pp.19-29
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    • 2011
  • Visibility of a space have been defined in several different ways: such as the axial line covering a convex space, a convex space defining the fattest shape in a space and an Isovist field formed by a field of vision at a given vantage point. Isovist fields are referred to as a descriptive medium to describe a movement by reviewing and analyzing geometric properties in them. Many descriptive methods for analysis of three-dimensional isovist are applied to analyzing the morphological properties in a 3D space more realistically. Although these models are regarded as a more advanced method for describing spatial properties, they have pros and cons such as complex mathematical calculations and somewhat arbitrary calibration in addition to huge consumption of memory space. These difficulties lead to the development of a three-dimensional visual accessibility model that explores the implication of building shape on the calculation of isovist fields drawn on a 2D plane. We propose a conceptual framework of how to measure the isovist field not as a 3D volume but as a combination of 2D plane on the ground with the 3D building shape of it's facade.

Predicting Factors of Breast Self-Examination Among Middle Aged Women (장년기 여성의 유방자가검진 수행에 대한 예측변수)

  • Lee, Young-Whee;Lee, Eun-Hyun
    • Korean Journal of Adult Nursing
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    • v.13 no.4
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    • pp.551-559
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    • 2001
  • Purpose: The purpose of this study is to identify predicting factors of the performance of breast self-examination (BSE) among Korean middle-aged women based upon the Health Belief Model. Method: A descriptive design was used for this study. A total of 309 convenience samples were recruited from Yonsu-Gu, Inchon. The Champion's Health Belief Model Scale was used to measure the health belief related variables of susceptibility, severity, benefits, barriers, confidence, and health motivation. The performance of BSE asked of it was as ever or never performed during the last year. The obtained data were analysed using descriptive statistics, $\chi^2$-test, t-test, and logistic regression. Result: Results showed that 32% had ever BSE last year. Age and BSE education among demographic characteristics were significantly associated with the performance of BSE. Thus, these demographic variables were added to the logistic regression analyses with the health belief variables. As a result, age, BSE education, health motivation, and confidence significantly explained the performance of BSE. Conclusion: This study suggests that it is important that the development of BSE educational programs increase confidence and motivation, particularly for middle aged-Korean women.

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Influence of Cognitive Function and Depressive Symptoms on Instrumental Activities of Daily Living in Community-dwelling Older Adults (지역사회 노인의 인지기능과 우울감이 도구적 일상생활동작에 미치는 영향)

  • Seo, Kawoun;Song, Youngshin
    • The Korean Journal of Rehabilitation Nursing
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    • v.19 no.2
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    • pp.71-81
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    • 2016
  • Purpose: The purpose of this study was to explore the influence of cognitive function and depressive symptoms on instrumental activities of daily living (IADL) in addition to identify the factors associated with IADL in community-dwelling older adults. Methods: This was a descriptive study with cross-sectional design. Data were collected from July 2013 to June 2014. A total of 143 participants without dementia, depression and disability were enrolled in this study. Cognitive function was measured using Seoul verbal learning test (SVLT), digital span (forward/backward) and fist-edge-palm test. The Korean-IADL and Short Geriatric Depression Scale (S-GDS) were used. Data analysis was performed using descriptive statistics, t-test, ANOVA, Pearson's correlation coefficient, and hierarchical regression. Results: Overall, a multiple regression model revealed that approximately 27.4% of total variability in IADL in the sample of community-dwelling older adults could be explained by the significant 12 variables in this model ($R^2=0.274$, F=5.467, p<.001). Age, having religion and cognitive function were the predictors of IADL in community-dwelling older adults. Conclusion: This study suggest that we need to monitor cognitive function in older to maintain the ability for IADL in older adults. Also, individualized program for improving older adults' IADL should be included in nursing intervention.