Investigating of Factors Affecting the Fertility Pattern of Arak City in 2018 With the Structural Equation Modeling

Background and Aim: Fertility pattern is one of the most important determinants of population fluctuations. Various individual and social factors affect this pattern. This study aimed to determine the factors affecting the fertility pattern using the structural equation model. Methods & Materials: In this cross-sectional study, 384 women were randomly selected from married women of childbearing age who referred to Taleghani, Valiasr, and Amir Al-Momenin hospitals in Arak as patients. After obtaining verbal consent to participate in the study, a researcher-made and valid questionnaire was completed for them. Structural equation modeling was used to measure the effect of important individual and social variables on fertility patterns. Data analysis and analysis were performed with AMOUS software version 11 and SPSS V. 22. Ethical Considerations: This study was registered with the ethics code IR.ARAKMU.REC.1396.4 by the Research Ethics Committee of Arak University of Medical Sciences. Results: The Mean±SD age of the participants in the study was 40.03±11.19. The variables affecting the fertility pattern using the structural equation model included, respectively, the type of individual exercise, the method of contraception, the type of infertility treatment, and the duration of use of the contraceptive method. Conclusion: The results showed that physical activity, contraceptive method, and duration of use of this method and the type of infertility treatment were related to fertility pattern. By recognizing the factors affecting the fertility pattern and increasing the awareness of young couples, it is possible to help improve the fertility pattern.

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The Relationship Among Non-English Majors’ Autonomous Learning Ability, Learning Burnout and English Grades: A Structural Equation Modeling Study

Chinese Journal of Applied Linguistics ◽

10.1515/cjal-2019-0005 ◽

2019 ◽

Vol 42 (1) ◽

pp. 79-91 ◽

Cited By ~ 1

Author(s):

Youkun Wang

Keyword(s):

Structural Equation Modeling ◽

Empirical Study ◽

Structural Equation Model ◽

Structural Equation ◽

Equation Model ◽

Autonomous Learning ◽

Learning Ability ◽

Equation Modeling ◽

English Majors ◽

The Relationship

Abstract This study aims to explore the relationship among autonomous learning ability, learning burnout and English grades by structural equation modeling. The survey of 481 non-English majors showed that autonomous learning ability, learning burnout and English grades correlated significantly with each other, and the structural equation model of the three variables was stable. This suggests that the stronger the autonomous learning ability, the lower the level of learning burnout, the higher the English grades. This empirical study shows that the autonomous learning ability of non-English majors can influence the level of learning burnout, which in turn influences English grades. Learning burnout can mediate the effects of autonomous learning ability on English grades.

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Role of Passion as a Mediator between Motivational and Individual Traits of Technology Entrepreneurs

International Journal of Recent Technology and Engineering - 2 ◽

10.35940/ijrtec6465.118419 ◽

2019 ◽

Vol 8 (4) ◽

pp. 12279-12286

Keyword(s):

Factor Analysis ◽

Structural Equation Modeling ◽

Structural Equation Model ◽

Structural Equation ◽

Equation Model ◽

Vital Role ◽

Primary Data ◽

Equation Modeling ◽

Individual Factors ◽

The Individual

Background and Objectives:Technology today plays a major role in devising a creative business idea and implementing the same. The process of translating an idea into business depends on the individual who is able to harness his individual potential and self-motivation to bring about a business venture. This paper aims at devising a structural equation model on the individual factors and motivational factors which can bring about a technological business venture. Methods: A conceptual framework has been prepared and tested with a structural equation model. The study was conducted with primary data collected from 100 techno entrepreneurs in the city of Chennai and Bangalore using a structured questionnaire. Results: Exploratory Factor Analysis (EFA) confirmatory factor analysis (CFA) and structural equation modeling has been used to identify the various motivational and individual factors that facilitateindividuals becoming entrepreneurs taking up businesses which use technology for its growth. Structural equation modeling was used to test the hypothesis. Conclusions:The findings highlight the individual and motivational the factors create a spur that sets a tone to play a vital role in establishing a enterprise that is technology driven.

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Workload and Fatigue Among Assembly Operators. A Structural Equation Modeling Approach

Proceedings of the Human Factors and Ergonomics Society Annual Meeting ◽

10.1177/1541931213601349 ◽

2016 ◽

Vol 60 (1) ◽

pp. 1520-1523

Author(s):

Juan Luis Hernandez-Arellano ◽

Maury A. Nussbaum ◽

Jorge Luis Garcia-Alcaraz

Keyword(s):

Structural Equation Modeling ◽

Structural Equation Model ◽

Structural Equation ◽

Statistical Significance ◽

Equation Model ◽

Equation Modeling ◽

High Workload ◽

Using Data ◽

Good Mode ◽

Occupational Fatigue

This study used Structural Equation Modeling (SEM) to test the relationship between workload and fatigue dimensions, using data obtained from among Constant Velocity (CV) joints assembly workers in Mexico. Three years before this study, assembly workers had complained about how their job’s high workload had increased their levels of fatigue. The NASA-TLX and the Swedish Occupational Fatigue Inventory ware used to collect data on the effects of workload on fatigue from 116 assembly workers. A structural equation model was used to test five hypotheses associated on the effects of workload on lack of energy, physical effort, physical discomfort, lack of motivation, and sleepiness. All relationships were significant and had associated positive load factors. As a result, the modified structural equation model showed statistical significance, as well as good mode fitness. From these results, fatigue was supported as being substantially affected by the workload.

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Critical assessment of construction contract administration using fuzzy structural equation modeling

Engineering Construction & Architectural Management ◽

10.1108/ecam-05-2019-0246 ◽

2020 ◽

Vol 27 (6) ◽

pp. 1233-1255 ◽

Cited By ~ 1

Author(s):

Murat Gunduz ◽

Hesham Ahmed Elsherbeny

Keyword(s):

Structural Equation Modeling ◽

Structural Equation Model ◽

Structural Equation ◽

Equation Model ◽

Equation Modeling ◽

Measurement Tool ◽

Second Phase ◽

Content Type ◽

Contract Administration ◽

Process Groups

PurposeThis paper covers the development of a multidimensional contract administration performance model (CAPM) for construction projects. The proposed CAPM is intended to be used by the industry stakeholders to measure the construction contract administration (CCA) performance and identify the strengths and weaknesses of the CCA system for running or completed projects.Design/methodology/approachThe research design follows a sequential mixed methodology of qualitative and quantitative data collection and analysis. In the first phase, contract administration indicators were collected from relevant literature. In the second phase, an online questionnaire was prepared, and data were collected and analyzed using the crisp value of fuzzy membership function, and structural equation modeling (SEM). The fuzzy set was chosen for this study due to the presence of uncertainty and fuzziness associated with the importance of several key indicators affecting the CCA performance. Finally, SEM was used to test and analyze interrelationships among constructs of CCA performance.FindingsThe data collected from 336 construction professionals worldwide through an online survey was utilized to develop the fuzzy structural equation model. The goodness-of-fit and reliability tests validated the model. The study concluded a significant correlation between CCA performance, CCA operational indicators, and the process groups.Originality/valueThe contribution of this paper to the existing knowledge is the development of a fuzzy structural equation model that serves as a measurement tool for the contract administration performance. This is the first quantitative structural equation model to capture contract administration performance. The model consists of 93 Construction Contract Administration(CCA) performance indicators categorized into 11 project management process groups namely: project governance and start-up; team management; communication and relationship management; quality and acceptance management; performance monitoring and reporting management; document and record management; financial management; changes and control management; claims and dispute resolution management; contract risk management and contract closeout management.

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Vocational Misfit: Source of Occupational Stress Among Accountants

Journal of Applied Business Research (JABR) ◽

10.19030/jabr.v13i3.5751 ◽

2011 ◽

Vol 13 (3) ◽

pp. 43 ◽

Cited By ~ 4

Author(s):

G. R. Cluskey, Jr. ◽

Alan Vaux

Keyword(s):

Structural Equation Modeling ◽

Occupational Stress ◽

Survey Data ◽

Structural Equation Model ◽

Structural Equation ◽

Self Esteem ◽

Equation Model ◽

Job Dissatisfaction ◽

Equation Modeling ◽

Management Accountants

<span>The career path of management accountants involves rotation through disparate positions that, we hypothesized, puts these professionals at risk for episodes of vocational misfit. Survey data from 188 management accountants were examined through correlational analyses and structural equation modeling. As predicted, many respondents (40%) met Hollands (1985b) criterion for vocational misfit. Poor vocational fit was significantly associated in correlational analysis with job dissatisfaction, how self-esteem, and turnover, and in a structural equation model, with a stress process that included both stressors and strains.</span>

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