• Title/Summary/Keyword: Model fit

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Empirical Analysis of Decision Maker's Schema and Cognitive Fit on Decision Performance

  • Chung, Nam-Ho;Lee, Kun-Chang
    • Asia pacific journal of information systems
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    • 제21권2호
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    • pp.19-42
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    • 2011
  • This paper proposes a new framework to predict decision performance by investigating the cognitive fit of decision makers. We assume that every decision maker has two kinds of schema: emotional and rational. Cognitive fit is believed to have a close relationship with the two schemata and decision performance. In the literature on decision performance there is few studies investigating the relationship between the two schemata and cognitive fit. Therefore, our research purposes are twofold: (1) to provide a theoretical basis for the proposed framework describing the causal relationships among the two schemata, cognitive fit. and decision performance, and (2) to empirically prove its validity in the application to an Internet shopping environment. Based on the questionnaires from 104 respondents, we used a second order, confirmatory factor analysis (CFA) model to extract valid constructs, and a structural equation model (SEM) to calculate path coefficients and prove the statistical validity of our proposed research model. The experimental results supported our research model.

Goodness-of-fit tests for a proportional odds model

  • Lee, Hyun Yung
    • Journal of the Korean Data and Information Science Society
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    • 제24권6호
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    • pp.1465-1475
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    • 2013
  • The chi-square type test statistic is the most commonly used test in terms of measuring testing goodness-of-fit for multinomial logistic regression model, which has its grouped data (binomial data) and ungrouped (binary) data classified by a covariate pattern. Chi-square type statistic is not a satisfactory gauge, however, because the ungrouped Pearson chi-square statistic does not adhere well to the chi-square statistic and the ungrouped Pearson chi-square statistic is also not a satisfactory form of measurement in itself. Currently, goodness-of-fit in the ordinal setting is often assessed using the Pearson chi-square statistic and deviance tests. These tests involve creating a contingency table in which rows consist of all possible cross-classifications of the model covariates, and columns consist of the levels of the ordinal response. I examined goodness-of-fit tests for a proportional odds logistic regression model-the most commonly used regression model for an ordinal response variable. Using a simulation study, I investigated the distribution and power properties of this test and compared these with those of three other goodness-of-fit tests. The new test had lower power than the existing tests; however, it was able to detect a greater number of the different types of lack of fit considered in this study. I illustrated the ability of the tests to detect lack of fit using a study of aftercare decisions for psychiatrically hospitalized adolescents.

제품 및 공정 적합성과 기업성과와의 관계에 대한 실증연구 (Business Model and Its Financial Performance: An Empirical Approach to Product and Process Fit)

  • 김인호;구태용;현준식
    • 산업경영시스템학회지
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    • 제24권69호
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    • pp.23-35
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    • 2001
  • This paper attempts to identify the relationship between the business model and its financial performance through the construct of business paradigm, fit which may be defined as the congruence between the customer needs (the demand side) and the firm competence( supply side) to meet them, Each business model\`s business paradigm fit reflects how well the technology that business model has taken is interconnected with market. Basically, the business paradigm fit consists of two parts, product fit dealing with the product(s) to meet the customer needs well and process fit focusing on producing and/or providing that product(s) at the lowest costs. For empirical tasting the business paradigm fit matrix and the measures for them were developed and the data about 73 companies as sample were collects with questionnaires. The findings are: First business paradigm fit can be used as a strong empirical indicator for the firm performance, Second. balance fit in product or process gives to the most desirable outcomes and no fit brings about the worst ones. Third the over fit(the case of doing more excessive innovative efforts than to be needed) shows much better outcomes than the under fit(the case of doing less innovative efforts) Fourth, this paper shows where, in what situation, and what type of innovation has to be taken for firm success at firm level, whereas Schumpeter(1934) already indicated the importance of innovation for economic growth at the economy /industry level. However, further study should be done later with more refined measures and expanded sample data.

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Investigating Continuous Usage Intention of Xiaohongshu Live Commerce for Health Functional Products: An Integration of ECM and TTF Theories

  • Geng Yingjie;He Yang;Ding Hongyi;Chen, Mingyuan;Yoo, Seungchul
    • International journal of advanced smart convergence
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    • 제13권3호
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    • pp.287-299
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    • 2024
  • Xiaohongshu, a community-centric social media platform, has pioneered a unique e-commerce model known as 'buyer commerce,' leveraging user-generated content (UGC). Distinctively, Xiaohongshu Live Commerce focuses on fostering deep user relationships and providing superior product and information services, crucial for sustained consumer engagement. This study investigates consumer behavior in purchasing health functional foods via Xiaohongshu Live Commerce, aiming to understand the determinants of continuous usage intention. A novel theoretical framework was devised by integrating the Expectation Confirmation Model (ECM) and the Task-Technology Fit (TTF) model. The research model scrutinizes the impact of Xiaohongshu Live Commerce characteristics, such as perceived usefulness and perceived online intimacy, on task-technology fit. Additionally, it examines the moderating role of perceived risk specific to health functional foods and the influence of expectation confirmation on perceived usefulness, online intimacy, and task-technology fit, alongside their effects on satisfaction and continuous usage intention. The findings reveal that expectation confirmation positively influences perceived usefulness, online intimacy, and task-technology fit. Perceived usefulness significantly enhances task-technology fit, while perceived online intimacy and risk do not significantly affect task-technology fit. Moreover, perceived usefulness and intimacy positively impact consumer satisfaction and continuous usage intention, with task-technology fit playing a pivotal role. Perceived risk moderates the relationship between perceived usefulness and task-technology fit. These insights suggest that companies can augment consumer satisfaction and continuous usage intentions by enhancing the perceived usefulness of technology, effectively managing perceived risks, and continually improving user experience

열박음 공정이 케이스의 온도분포 및 변형에 미치는 영향(II) - 변형 계측 및 변형 해석 모델 정립 - (A Study on the Temperature Distribution and Deformation of Case in Shrinkage Fit Process(II) - Deformation Measurement and Deformation Analysis Model -)

  • 장경복;정진우;강성수;최규원;박찬우;조상명
    • Journal of Welding and Joining
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    • 제19권5호
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    • pp.492-498
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    • 2001
  • In the previous study, temperature monitoring of case about shrinkage fit process was performed and heat transfer model was developed in detail by feedback and tuning among monitoring result, process investigation, and analysis result. The gap element in contact between case and core was effectively used in analysis model. In present study, following things are performed to solve deformation of case due to shrinkage fit process on the basis of previous result. Above all, mechanical material properties of case are measured by case specimen for deformation analysis considering weldment of case. Deformation of case before and after shrinkage fit process is measured, too. Three dimensional deformation model is developed by the comparison and inspection between these experimental data and analysis results. Deformation analysis is simulated with the result of heat transfer analysis, in other words, non-coupled analysis is used. Finally the countermeasure for deformation is brought up through those.

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기질과 환경 간의 조화로운 합치모델 검증연구(II) - 조화로운 합치와 아동의 자기능력지각 - (A Test of Goodness of Fit Between Temperament and Context(II) : Goodness of Fit and Children's Perceived Competence)

  • 최영희
    • 아동학회지
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    • 제15권1호
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    • pp.145-157
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    • 1994
  • This research focused on the examination of a "Goodness of Fit" model with reference to the interaction effects of temperament and context. Two hundred forty 5th graders from urban and rural areas were administered the EAS (Emotionality, Activity, Sociability) and the Perceived Competence scales. The degree of satisfaction of mothers with their children's temperament was assessed for the context measure. Results of hierarchical multiple regression analyses showed that the interaction of children's emotion and mothers' satisfaction with children's emotion explained perceived social competence and general self-worth. This result supported the goodness of fit model. However, interaction effects were not found in children's perception of cognitive and physical competence. Also, children's activity and sociability showed strong main effects on perceived competence. It implies that activity and sociability should be applied to the personological model. The implication of the findings for following studies of goodness of fit model were discussed.

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Response Surface Methodology Using a Fullest Balanced Model: A Re-Analysis of a Dataset in the Korean Journal for Food Science of Animal Resources

  • Rheem, Sungsue;Rheem, Insoo;Oh, Sejong
    • 한국축산식품학회지
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    • 제37권1호
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    • pp.139-146
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    • 2017
  • Response surface methodology (RSM) is a useful set of statistical techniques for modeling and optimizing responses in research studies of food science. In the analysis of response surface data, a second-order polynomial regression model is usually used. However, sometimes we encounter situations where the fit of the second-order model is poor. If the model fitted to the data has a poor fit including a lack of fit, the modeling and optimization results might not be accurate. In such a case, using a fullest balanced model, which has no lack of fit, can fix such problem, enhancing the accuracy of the response surface modeling and optimization. This article presents how to develop and use such a model for the better modeling and optimizing of the response through an illustrative re-analysis of a dataset in Park et al. (2014) published in the Korean Journal for Food Science of Animal Resources.

성격 5요인 모델에 따른 개인-조직 성격 일치도가 종합병원 간호사의 직무만족과 조직몰입에 미치는 영향 (Effects of Individual-organization Personality Agreement using Five-factor Model on Hospital Nurses' Job Satisfaction and Organizational Commitment)

  • 김옥금;임지영
    • 간호행정학회지
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    • 제21권2호
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    • pp.164-173
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    • 2015
  • Purpose: This study was done to investigate the effects of individual-organization personality agreement using a five-factor model on job satisfaction and organizational commitment of hospital nurses. Methods: Participants were 222 nurses who had worked for more than 1 year in a university hospital. Data were collected from January 14 to 20, 2012, using self-recorded questionnaires. Collected data were analyzed using descriptive statistics and multiple regression methods. Results: Extraversion personality fit and the Agreeableness personality fit had a significant effect on job satisfaction. Extraversion personality fit, agreeableness personality fit, and openness personality fit had a significant effect on organizational commitment. Conclusion: Results of this study show that individual-organizational personality agreement affects hospital nurses' job satisfaction and organizational commitment. The extraversion personality fit and agreeableness personality fit of the 5 factors are identified as important variables to increase organizational performance. Based on these results, it is necessary to develop an integrated organizational personality measure model for increasing nurses' work environment satisfaction related to individual-organization personality fit.

Comparisons between Goodness-of-Fit Tests for ametric Model via Nonparametric Fit

  • Kim, Choon-Rak;Hong, Chan-Kon;Jeong, Mee-Seon
    • Communications for Statistical Applications and Methods
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    • 제3권3호
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    • pp.39-46
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    • 1996
  • Most of existing nonparametric test statistics are based on the residuals which are obtained by regressing the data to a parametric model. In this paper we compare power of goodness-of-fit test statistics for testing the (null)parametric model versus the (alternative) nonparametric model.

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잡 크래프팅 모델에 근거한 아동간호사의 직무열의 구조모형 (Structural Equation Modeling of Job Engagement in Pediatric Nurses Based on the Job Crafting Model)

  • 강정미;조헌하
    • Child Health Nursing Research
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    • 제26권2호
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    • pp.201-211
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    • 2020
  • Purpose: The goal of this study was to construct a structural equation model of job engagement in pediatric nurses based on Tims and Bakker's job crafting model. Methods: In total, 203 pediatric nurses participated in this study, which was conducted to analyze the relationships among the concepts of job demands, job resources, person-job fit, job crafting and job engagement. Data were collected from July 24 to August 30, 2017, and analyzed using SPSS 20.0 and AMOS 21.0. Results: The hypothetical model appeared to fit the data. Six of the nine hypotheses selected for the hypothetical model were statistically significant. The job engagement model showed significant direct effects for job crafting, person-job fit and job resources, which collectively explained 61.5% of the variation in pediatric nurses' job engagement. Conclusion: Based on the findings of this study, a strategy will be needed to improve job resources and person-job fit in order to promote job engagement among pediatric nurses. Job crafting was affected by the factors of job resources and person-job fit, which should be addressed in job crafting promotion programs.