• Title/Summary/Keyword: Hypothetical Model

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Test of the New Health Promotion Model for the Prediction of Female Employees' Health Promotion Behavior at the Manufacturing Plants (제조업 여성근로자의 건강증진행위 예측을 위한 새 건강증진 모형의 검증)

  • Yun, Soon-Nyoung
    • Research in Community and Public Health Nursing
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    • v.12 no.3
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    • pp.557-569
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    • 2001
  • The purpose of the study was to test the Pender's New Health Promotion Model in order to explain and predict female workers' health promotion behavior at manufacturing plants by using latent variable structural equation model. The data were collected from 280 female workers at 8 electronic factories located at Seoul. Kyunggi. and Incheon using a structured questionnaire through interview and self-report. LISREL was used to test the model. The results are as follows: 8 out of 15 paths of the modified one from the hypothetical model of Health Promotion were statistically significant and the total variance was 40%. The relationship between the previous health behavior and the cognitive emotional factor, and the interpersonal factor. and the situational factor each. and the relationship between perceived health status and interpersonal factor, and health promotion behavior each among gamma paths were unidirectional. On the beta paths. the relationship between the interpersonal factor and the cognitive emotional factor was bi-directional: the relationships amongst the interpersonal factor and the commitment to action, and the health promotion behavior were unidirectional. But the commitment to action was not a significant mediating factor to the health promotion behavior. Pender's New Model is considered good to explain and predict the female workers' health promotion behavior. The interpersonal factor should be considered in occupational nursing practice. But the concepts of situation and commitment to action should be further validated and measured.

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A Structural Equation Model on Social Re-Adjustment of Stroke Patients: Based on Roy's Adaptation Model (뇌졸중 환자의 사회재적응 구조모형: Roy의 적응모형에 기반하여)

  • Kim, Jungmi;Kim, Hwasoon
    • Journal of Korean Academy of Nursing
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    • v.53 no.4
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    • pp.480-495
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    • 2023
  • Purpose: This study aimed to develop and test a structural equation model on social re-adjustment of individuals with stroke based on a literature review and Roy's adaptation model. Methods: This study involved 321 participants who had a stroke and visited the outpatient department after discharge. The hypothetical model was developed based on Roy's adaptation model and a comprehensive review of previous literature on the topic. The model comprised four exogenous variables (neurological damage, gender [man], age, and social support) and five endogenous variables (activities of daily living, acceptance of disability, depression, rehabilitation motivation, and social re-adjustment). The data were analyzed using SPSS Windows software version 22.0 and AMOS 23.0. Results: Out of 28 research hypotheses, 18 were supported, and they indicated approximately 64% probability of social re-adjustment. Social re-adjustment is directly and significantly affected by age, social support, activities of daily living, and depression. Social re-adjustment is indirectly affected by neurological impairment, gender (men), age, social support, and rehabilitation motivation. Conclusion: Continuous assistance and care should be provided for individuals with disabilities caused by sudden neurological damage to facilitate gradual improvement in their social re-adjustment. To enhance social re-adjustment, especially among older adults, newly developed interventions should focus on improving their activities of daily living, preventing depression, and enhancing support from family and healthcare personnel.

A Study on the Market Structure Analysis for Durable Goods Using Consideration Set:An Exploratory Approach for Automotive Market (고려상표군을 이용한 내구재 시장구조 분석에 관한 연구: 자동차 시장에 대한 탐색적 분석방법)

  • Lee, Seokoo
    • Asia Marketing Journal
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    • v.14 no.2
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    • pp.157-176
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    • 2012
  • Brand switching data frequently used in market structure analysis is adequate to analyze non- durable goods, because it can capture competition between specific two brands. But brand switching data sometimes can not be used to analyze goods like automobiles having long term duration because one of main assumptions that consumer preference toward brand attributes is not changed against time can be violated. Therefore a new type of data which can precisely capture competition among durable goods is needed. Another problem of using brand switching data collected from actual purchase behavior is short of explanation why consumers consider different set of brands. Considering above problems, main purpose of this study is to analyze market structure for durable goods with consideration set. The author uses exploratory approach and latent class clustering to identify market structure based on heterogeneous consideration set among consumers. Then the relationship between some factors and consideration set formation is analyzed. Some benefits and two demographic variables - age and income - are selected as factors based on consumer behavior theory. The author analyzed USA automotive market with top 11 brands using exploratory approach and latent class clustering. 2,500 respondents are randomly selected from the total sample and used for analysis. Six models concerning market structure are established to test. Model 1 means non-structured market and model 6 means market structure composed of six sub-markets. It is exploratory approach because any hypothetical market structure is not defined. The result showed that model 1 is insufficient to fit data. It implies that USA automotive market is a structured market. Model 3 with three market structures is significant and identified as the optimal market structure in USA automotive market. Three sub markets are named as USA brands, Asian Brands, and European Brands. And it implies that country of origin effect may exist in USA automotive market. Comparison between modal classification by derived market structures and probabilistic classification by research model was conducted to test how model 3 can correctly classify respondents. The model classify 97% of respondents exactly. The result of this study is different from those of previous research. Previous research used confirmatory approach. Car type and price were chosen as criteria for market structuring and car type-price structure was revealed as the optimal structure for USA automotive market. But this research used exploratory approach without hypothetical market structures. It is not concluded yet which approach is superior. For confirmatory approach, hypothetical market structures should be established exhaustively, because the optimal market structure is selected among hypothetical structures. On the other hand, exploratory approach has a potential problem that validity for derived optimal market structure is somewhat difficult to verify. There also exist market boundary difference between this research and previous research. While previous research analyzed seven car brands, this research analyzed eleven car brands. Both researches seemed to represent entire car market, because cumulative market shares for analyzed brands exceeds 50%. But market boundary difference might affect the different results. Though both researches showed different results, it is obvious that country of origin effect among brands should be considered as important criteria to analyze USA automotive market structure. This research tried to explain heterogeneity of consideration sets among consumers using benefits and two demographic factors, sex and income. Benefit works as a key variable for consumer decision process, and also works as an important criterion in market segmentation. Three factors - trust/safety, image/fun to drive, and economy - are identified among nine benefit related measure. Then the relationship between market structures and independent variables is analyzed using multinomial regression. Independent variables are three benefit factors and two demographic factors. The result showed that all independent variables can be used to explain why there exist different market structures in USA automotive market. For example, a male consumer who perceives all benefits important and has lower income tends to consider domestic brands more than European brands. And the result also showed benefits, sex, and income have an effect to consideration set formation. Though it is generally perceived that a consumer who has higher income is likely to purchase a high priced car, it is notable that American consumers perceived benefits of domestic brands much positive regardless of income. Male consumers especially showed higher loyalty for domestic brands. Managerial implications of this research are as follow. Though implication may be confined to the USA automotive market, the effect of sex on automotive buying behavior should be analyzed. The automotive market is traditionally conceived as male consumers oriented market. But the proportion of female consumers has grown over the years in the automotive market. It is natural outcome that Volvo and Hyundai motors recently developed new cars which are targeted for women market. Secondly, the model used in this research can be applied easier than that of previous researches. Exploratory approach has many advantages except difficulty to apply for practice, because it tends to accompany with complicated model and to require various types of data. The data needed for the model in this research are a few items such as purchased brands, consideration set, some benefits, and some demographic factors and easy to collect from consumers.

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A Structural Model for Depression in Middle-aged Women (중년여성의 우울 구조모형)

  • Park, Geum-Ja;Lee, Kyung-Hye
    • Women's Health Nursing
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    • v.8 no.1
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    • pp.69-84
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    • 2002
  • The purpose of this study was to develope and test the structural model for depression in middle-aged women. A hypothetical model was constructed on the basis of previous studies and a review of literatures. The conceptual framework was built around eight constructs. Exogenous variables included in this model were volunteer activity, health status & economic status. Endogenous variables were meaning of life, self-esteem, perceived life stress & depression. Empirical data for testing the hypothetical model was collected using a self-report questionnaire from 216 middle-aged women in Pusan City. The Data was collected from May to June, 1999. Reliability of the seven instruments tested with Cronbach's alpha was ranged from .86-.94. For the data analysis, SPSS 7.5 WIN Program and LISREL 8.12 WIN Program were used for descriptive statistics and covariance structural analysis. The results of covariance structure analysis were as follows: 1. The hypothetical model showed a good fit with the empirical data. [$x^2$/df=2.87(p=.72), GFI=1.00, AGFI=.98, RMSR=.025, NFI=.99, standardized residuals ($-1.44{\sim}1.44$)]. 2. To heighten for the parsimony and fitness of the model, a modified model was constructed by deleting according to the criteria of statistical significance and meaning. 3. The modified model also showed a good fit with the data. [$x^2$=5.26(01=7,p=.63), GFI=.99, AGFl=.97, RMSR=.025, NFI=.99, standardized reslduals ($-1.50{\sim}1.45$)] Results of the testing of the hypothesis were as follows : 1. Self-esteem(${\beta}_{42}$=-.48, t=-5.64) had a negative and perceived life stress(${\beta}_{43}$=.20, t=3.21)had a positive direct effect on depression. Meaning of life had a negative direct(${\beta}_{41}$=-.17, t=-2.19) and a negative indirect effect through self-esteem on depression. Volunteer activity had a negative indirect effect through meaning of life, meaning of life and self-esteem on depression. Health status had a negative direct and a negative indirect effect through meaning of life, meaning of life and self-esteem on depression. Economic status had a negative indirect effect through perceived life stress on depression. Self-esteem was the most significant variable. 2. Volunteer activity(${\gamma}_{11}$=.43, t=6.78) and health status(${\gamma}_{12}$=.35, t=4.88) had positive direct effect on meaning of life. 3. Meaning of life(${\beta}_{21}$=.50, t=6.53) had a positive direct effect on self-esteem. Volunteer activity had a positive indirect effect through meaning of life on self-esteem. Health status had a positive direct(${\gamma}_{22}$=.18, t=2.23) and a indirect effect through meaning of life on self-esteem. Meaning of life was the most significant variable. 4. Economic status (${\gamma}_{33}$=-.44, t값=-6.01) had a positive direct effect on perceived life stress. The results of this study showed that self-esteem had the most significant direct effect on depression. Meaning of life and health status had significant direct effect on this self-esteem. Volunteer activity and health status had direct effect on meaning of life. The results of this study suggested that there is a need to develope intervention to promote degree of self-esteem and alleviate degree of depression in middle-aged women.

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A Structural Model for Quality of Life in Women Having Hysterectomies (여성의 자궁절제술후 삶의 질 구조모형)

  • 김숙남
    • Journal of Korean Academy of Nursing
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    • v.29 no.1
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    • pp.161-173
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    • 1999
  • The purpose of this study was to develope and test the structural model for quality of life in women having hysterectomies. A hypothetical model was constructed on the basis of previous studies and a review of literature. The conceptual framework was built around eight constructs. Exogenous variables included in this model were marital intimacy, importance of uterus, professional support, positive coping behavior and pre-operative symptoms. Endogenous variables were spouse's support, sense of loss and quality of life. Empirical data for testing the hypothetical model was collected using a self-report questionnare from 203 women having hysterectomies at the outpatient clinics of four general hospitals and a mail survey in Pusan City. The Data was collected from December, 1997 to January, 1998. Reliability of the eight instruments was tested with Cronbach's alpha which ranged from 0.639-0.915. For the data analysis, SPSS 7.5 WIN Program and LISREL 8.12 WIN Program were used for descriptive statistics and covariance structural analysis. The results of covariance structure analysis were as follows : 1. Hypothetical model showed a good fit with the empirical data. [$\chi$$^2$=6.93(df=5, P=.23), GFI=.99, AGFI=.94, RMSR=.019, NNFI=.97, NFI=.98, CN=440, standardized residuals(-2.14-2.10)] 2. For the parsimony of model, a modified model was constructed by deleting 3 paths and adding 1 path according to the criteria of statistical significance and meaning. 3. The modified model also showed a good fit with the data. [$\chi$$^2$=5.26(df=7, P=.63), GFI=.99, AGFI=.97, RMSR=.014, NNFI=1.02, NFI=.99, CN=710, standardized residuals(-1.46-1.70)] Results of the testing of the hypothesis were as follows : 1. Marital intimacy(${\gamma}$11=.78, t=14.37) and professional support(${\gamma}$13=.12, t=2.12) had a significant direct effect on the spouse's support. 2. Pre-operative symptoms(${\gamma}$25=.32, t=3.12), importance of uterus(${\gamma}$22=.20, t=2.61) and spouse's support($\beta$2l=-.19, t=-2.43) had a significant direct effect on the sense of loss. 3. Sense of loss($\beta$32=-.66, t=-9.83) had a direct effect on the quality of life. Marital intimacy had a direct(${\gamma}$31=.19, t=3.33), indirect(${\gamma}$31=.14, t=2.52) and total effect(${\gamma}$31=.25, t=4.41) on the quality of life. Professional support had a direct effect(${\gamma}$33=.11, t=2.07) and total effect(${\gamma}$33=.13, t=2.31) on the quality of life. The direct effect of pre-operative symptoms(${\gamma}$35=-.36, t=4.02) and positive coping behavior(${\gamma}$34=.15, t=2.06) had the insignificant effect on the quality of life while, due to the idirect effect these variables had overall significant effect on the quality of life. The results of this study showed that the sense of loss had the most significant direct effect on the quality of life. Marital intimacy, pre -operative symptoms and spouse's support had a significant direct effect on this sense of loss. These four variables, the sense of loss, marital intimacy, pre-operative symptoms and spouse's support, were identified as relatively important variables. The results of this study suggested that there is needed to determine if nursing intervention would alleviate this sense of loss and promote a greater quality of life in women who have had hysterectomies.

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Structural Equation Modeling on Organizational Commitment in ROTC Cadets (학군사관후보생의 조직몰입 예측모형)

  • Yoon, Hong-Gyu;Kim, Soon-Gu;Do, Eun-Su
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.19 no.11
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    • pp.78-87
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    • 2018
  • This study constructed a structural model and examined the fit and significance of the model to identify the influencing factors on the organizational commitment of ROTC cadets. The subjects of this study were 209 male students in grades 3 and 4 ROTC cadets of eight universities located in D, P, and G cities. Data were collected from April 13 to May 29, 2018. The data collected were analyzed by SPSS / WIN 20.0 and AMOS 21.0 programs. A positive correlation was observed between the ROTC instructor's leadership, self-efficacy, job satisfaction, and organizational commitment. Six of the six pathways of the hypothetical structural model were statistically significant. The hypothetical model showed a good fit for the data. The model fit indices were ${\chi}^2/df=1.51$, GFI=.98, AGFI=.90, NFI=0.98, NFI=.97, RMR=.02, RMSEA=.05, and TLI=.98. The ROTC Instructor's leadership and self-efficacy had direct and indirect effects on the organizational commitment. Job satisfaction had the strongest direct influence on organizational commitment. This model explained 73% of the variance in organizational commitment. Therefore, it is necessary to develop an effective education and intervention program that can enhance the ROTC instructor's leadership, self-efficacy, and job satisfaction to increase the organizational commitment of the ROTC cadets.

A Structural Equation Model of Pressure Ulcer Prevention Action in Clinical Nurses (임상간호사의 욕창예방행위 구조모형)

  • Lee, Sook Ja;Park, Ok Kyoung;Park, Mi Yeon
    • Journal of Korean Academy of Nursing
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    • v.46 no.4
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    • pp.572-582
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    • 2016
  • Purpose: The purpose of this study was to construct and test a structural equation model for pressure ulcer prevention action by clinical nurses. The Health Belief Model and the Theory of Planned Behavior were used as the basis for the study. Methods: A structured questionnaire was completed by 251 clinical nurses to analyze the relationships between concepts of perceived benefits, perceived barriers, attitude, subjective norm, perceived control, intention to perform action and behavior. SPSS 22.0 and AMOS 22.0 programs were used to analyze the efficiency of the hypothesized model and calculate the direct and indirect effects of factors affecting pressure ulcer prevention action among clinical nurses. Results: The model fitness statistics of the hypothetical model fitted to the recommended levels. Attitude, subjective norm and perceived control on pressure ulcer prevention action explained 64.2% for intention to perform prevention action. Conclusion: The major findings of this study indicate that it is essential to recognize improvement in positive attitude for pressure ulcer prevention action and a need for systematic education programs to increase perceived control for prevention action.

Structural Equation Modeling on Smoking Cessation Intention in Male Technical High School Students (특성화고등학교 남학생의 금연의도 구조모형)

  • Do, Eun Su;Choi, Eunsuk
    • Journal of Korean Academy of Nursing
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    • v.47 no.2
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    • pp.211-221
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    • 2017
  • Purpose: This study was done to develop and test a structural model on smoking cessation intention in technical high school men. The conceptual model was based on the theory of reasoned action and health promotion model. Methods: From May 29 to April 13, 2015, 413 technical high school students who smoked completed a structured questionnaire. Data were analyzed to calculate the direct and indirect effects of factors affecting smoking cessation intention. The SPSS WIN 20.0 and AMOS 21.0 programs were used. Results: The hypothetical model was a good fit for the data. The model fit indices were $x^2/df=2.36$, GFI=.95, AGFI=.92, NFI=0.97, and RMSEA=.05. Self-esteem had direct and indirect effects on smoking cessation intention. Attitude, subjective norm, and self-efficacy had direct effects on smoking cessation intention. Smoking knowledge and environmental factor had indirect effects on smoking cessation intention. This model explained 87.0% of the variance in smoking cessation intention. Conclusion: These results indicate that technical high school students' intention to stop smoking can be improved through an increase in self-esteem, negative environmental factors, attitude toward smoking cessation, subjective norm about smoking cessation, and self-efficacy for smoking cessation.

Assessment of sensitivity-based FE model updating technique for damage detection in large space structures

  • Razavi, Mojtaba;Hadidi, Ali
    • Structural Monitoring and Maintenance
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    • v.7 no.3
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    • pp.261-281
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    • 2020
  • Civil structures may experience progressive deterioration and damage under environmental and operational conditions over their service life. Finite element (FE) model updating method is one of the most important approaches for damage identification in structures due to its capabilities in structural health monitoring. Although various damage detection approaches have been investigated on structures, there are limited studies on large-sized space structures. Thus, this paper aims to investigate the applicability and efficiency of sensitivity-based FE model updating framework for damage identification in large space structures from a distinct point of view. This framework facilitates modeling and model updating in large and geometric complicated space structures. Considering sensitivity-based FE model updating and vibration measurements, the discrepancy between acceleration response data in real damaged structure and hypothetical damaged structure have been minimized through adjusting the updating parameters. The feasibility and efficiency of the above-mentioned approach for damage identification has finally been demonstrated with two numerical examples: a flat double layer grid and a double layer diamatic dome. According to the results, this method can detect, localize, and quantify damages in large-scaled space structures very accurately which is robust to noisy data. Also, requiring a remarkably small number of iterations to converge, typically less than four, demonstrates the computational efficiency of this method.

Construction of Health-related Quality of Life Model in Acquired People with Physical Disabilities (후천성 지체장애인의 건강관련 삶의 질 모형구축)

  • Kim, Kye Ha
    • Korean Journal of Adult Nursing
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    • v.18 no.2
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    • pp.213-222
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    • 2006
  • Purpose: This study was designed to construct a structural model for explaining model health-related quality of life in acquired people with physical disabilities. Method: The hypothetical model of this study was consisted of 6 latent variables and 14 observed variables. Exogenous variables included in this model were physical status and economical level. Endogenous variables were social attitudes, family function, self-esteem, and health-related quality of life. Data were collected from 226 acquired people with physical disabilities residing in Seoul and Kyunggi-do from January to February, 2005. The collected data were analyzed using SAS 8.2 version and LISREL 8.32 version program. Results: The results of the fitness test of the modified model were follow as; ${\chi}^2=67.479$ (df=50, p=.05), GFI=.959, AGFI=.914, SRMR=.049, NFI=.961, NNFI=.979, CN=249.244. Health-related quality of life was influenced directly by physical status, economic level, and social attitudes and accounted for 88.8% of the variance by these factors. Conclusion: These results suggest that physical status is the most significant effect on health-related quality of life, and social attitudes and economic level are important factors having influences on health- related quality of life. Therefore improving physical status and economic level, and modifying negative attitudes are necessary to increase health-related quality of life of acquired people with acquired physical disabilities.

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