scholarly journals Structural Model of Students’ Interest and Self-Motivation to Learning Mathematics

2018 ◽  
Vol 2018 ◽  
pp. 1-10
Author(s):  
Dominic Otoo ◽  
Wahab A. Iddrisu ◽  
Justice A. Kessie ◽  
Ernest Larbi
Keyword(s):  
Structural Equation Modeling ◽  
Direct Effect ◽  
Indirect Effects ◽  
Mathematics Anxiety ◽  
Structural Equation ◽  
Direct Relationship ◽  
Structural Model ◽  
Equation Modeling ◽  
Learning Mathematics ◽  
Attitude Towards Mathematics

Students pick up the perception that mathematics is abstract and therefore, the learning of mathematics would yield to them no benefit. With their attitude towards mathematics modelled and their interest for mathematics impacted by this automatic generated perception, they may never again appreciate the beauty of mathematics. In this paper, the researchers used structural equation modeling (SEM), to investigate the variables that affect students’ interest, among the variables, students’ confidence and motivation. The foregoing variables were conceptualized to have a direct effect on students’ interest in mathematics, whilst mathematics anxiety and students’ knowledge of the usefulness of mathematics were conceptualized to have indirect effects on their interest in mathematics moderated by students’ confidence and motivation. The result showed that significantly students’ confidence directly affects students’ interest in the learning of mathematics and there is a direct relationship between confidence and motivation. A student’s knowledge about the usefulness of mathematics indirectly increases the student’s interest in mathematics.

Teachers' digital technology access to motivation, skills and use: a structural equation modeling study

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Akhmad Habibi ◽  
Mohd Faiz Mohd Yaakob ◽  
Amirul Mukminin ◽  
Muhaimin Muhaimin ◽  
Lantip Diat Prasojo ◽  
...  
Keyword(s):  
Structural Equation Modeling ◽  
Digital Technology ◽  
Structural Equation ◽  
Structural Model ◽  
Teaching Experience ◽  
Equation Modeling ◽  
Technology Access ◽  
School Location ◽  
Content Type ◽  
Instructional Use

PurposeThe current study aimed to develop and validate a scale to model factors affecting digital technology access for instructional use. The scale was mainly used to assess the structural model. Besides, tests of difference were addressed regarding digital technology access for instructional use based on gender, teaching experience and school location.Design/methodology/approachThe authors implemented a survey design in this study. A scale based on prior studies was developed, validated and piloted. The pilot study data were computed for an exploratory factor analysis. Further, partial least squares structural equation modeling (PLS-SEM) and t-test procedures were used for the main data analysis (n.2677). The authors also included the importance-performance map analysis to extend of the results of the PLS-SEM.FindingsThe findings of the study successfully assessed the validity and reliability of the scale. All hypothetical relationships in the structural model were positively significant. The t-test results show that teaching experience and school location were significantly different regarding instructional use access; however, an insignificant difference emerged based on gender.Practical implicationsFailure in technology integration is possible if policies have not been carefully prepared. Therefore, users' perception is an essential factor in determining technology integration, including access to digital technology.Originality/valueThis research has the potential to enhance the understanding of access to digital technology in the context of developing countries by the elaboration of the proposed model's instrument development and validation, path analysis assessment and difference test examination with a large sample size. Also, the current study emphasizes the importance of raising awareness about digital technology access that the model can facilitate a valid and reliable foundation for future researchers interested in conducting similar types of research.

scholarly journals Development of a System Measurement Model of the Brazilian Hospital Accreditation System

2018 ◽  
Vol 15 (11) ◽  
pp. 2520 ◽  
Author(s):  
João Corrêa ◽  
João Turrioni ◽  
Carlos Mello ◽  
Ana Santos ◽  
Carlos da Silva ◽  
...  
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Structural Model ◽  
Measurement Model ◽  
Equation Modeling ◽  
Scientific Software ◽  
Health Organizations ◽  
Hospital Accreditation ◽  
Management Quality ◽  
Culture Process

The purpose of this study is to develop and validate a measurement model that evaluates the Brazilian hospital accreditation methodology (ONA), based on a multivariate model using structural equation modeling (SEM). The information used to develop the model was obtained from a questionnaire sent to all organizations accredited by the ONA methodology. A model was built based on the data obtained and tested through a structural equation modeling (SEM) technique using the LISREL® software (Scientific Software International, Inc., Skokie, IL, USA). Four different tests were performed: Initial, calibrated, simulated, and cross-validation models. By analyzing and validating the proposed measurement model, it can be verified that the selected factors satisfy the required criteria for the development of a structural model. The results show that leadership action is one of the most important factors in the process of health services accredited by ONA. Although, leadership, staff management, quality management, organizational culture, process orientation, and safety are strongly linked to the development of health organizations, and directly influence the accreditation process.

scholarly journals Risk Assessment of Ex-Post Transaction Cost in Construction Projects Using Structural Equation Modeling

2018 ◽  
Vol 10 (11) ◽  
pp. 4017 ◽  
Author(s):  
Zaigham Ali ◽  
Fangwei Zhu ◽  
Shahid Hussain
Keyword(s):  
Structural Equation Modeling ◽  
Life Cycle ◽  
Transaction Cost ◽  
Life Cycle Cost ◽  
Structural Equation ◽  
Construction Projects ◽  
Structural Model ◽  
Equation Modeling ◽  
Ex Post ◽  
Industry Professionals

The transaction cost (TC) escalation is the pervasive problem in the construction industry, which is continuously a threat to maintaining the life cycle cost of projects. Researchers have described the reality of risk for economic transactions. This study has taken the risk as a phenomenon to explore its influence on ex-post TC in construction projects. A questionnaire survey was undertaken from industry professionals to assess the risk of ex-post TC escalation in public-sector construction projects. In total, 475 surveys were conducted in Pakistan and used in the analysis. The data were analyzed using structural equation modeling (SEM) and the measurement and structural model was validated to determine the influence of risk on ex-post TC. The final SEM results show that internal and external risk, including sub hypothesized risks, positively influence TC. The weight of relative importance shows technical risk (23.82%) and environmental risk (22.88%) as significant sub-contributors from internal and external sources, respectively. This study recommends substantial investment in human capacity development to reduce the deficiencies in the ex-ante phase of the projects that help to reduce the risk of ex-post TC escalation. It also suggests the adoption of strict policies on contingency claims, and recommends nontraditional ways of monitoring to overcome the risk of ex-post TC. This study’s results provide valuable information for industry professionals and practitioners to maintain life cycle costs as a contribution to sustainable construction.

scholarly journals The reasoned action approach applied to health behavior: Role of past behavior and test of some key moderators using meta-analytic structural equation modeling

2018 ◽  
Author(s):  
Martin S Hagger ◽  
Juho Polet ◽  
Taru Lintunen
Keyword(s):  
Structural Equation Modeling ◽  
Health Behavior ◽  
Indirect Effects ◽  
Structural Equation ◽  
Social Cognitive ◽  
Reasoned Action ◽  
Equation Modeling ◽  
Reasoned Action Approach ◽  
Data Set ◽  
Past Behavior

Rationale: The reasoned action approach (RAA) is a social cognitive model that outlines the determinants of intentional behavior. Primary and meta-analytic studies support RAA predictions in multiple health behaviors. However, including past behavior as a predictor in the RAA may attenuate model effects. Direct effects of past behavior on behavior may reflect non-conscious processes while indirect effects of past behavior through social cognitive variables may represent reasoned processes. Objective: The present study extended a previous meta-analysis of the RAA by including effects of past behavior. The analysis also tested effects of candidate moderators of model predictions: behavioral frequency, behavior type, and measurement lag.Method: We augmented a previous meta-analytic data set with correlations between model constructs and past behavior. We tested RAA models that included and excluded past behavior using meta-analytic structural equation modeling and compared the effects. Separate models were estimated in studies on high and low frequency behaviors, studies on different types of behavior, and studies with longer and shorter measurement lag.Results: Including past behavior attenuated model effects, particularly the direct effect of intentions on behavior, and indirect effects of experiential attitudes, descriptive norms, and capacity on behavior through intentions. Moderator analyses revealed larger intention-behavior and past behavior-behavior effects in high frequency studies, but the differences were not significant. No other notable moderator effects were observed.Conclusion: Findings indicate a prominent role for habitual processes in determining health behavior and inclusion of past behavior in RAA tests is important to yield precise estimates of model effects.

scholarly journals ANALISIS PENGARUH LAYANAN BELANJA ONLINE TERHADAP PERJALANAN BERBASIS RUMAH DAN TEMPAT AKTIVITAS DENGAN METODE SEM

2020 ◽  
Vol 3 (4) ◽  
pp. 1017
Author(s):  
James Salim ◽  
Leksmono Suryo Putranto
Keyword(s):  
Structural Equation Modeling ◽  
Direct Effect ◽  
Structural Equation ◽  
Online Shopping ◽  
Equation Modeling ◽  
Shopping Centers ◽  
Online System ◽  
Shopping Trips ◽  
Derived Demand

Transportation is an activity which moving a person or an object from one place to another place. Transportation is done not for desire, it is a derived demand for humans to do the activities for fulfiling their daily needs. Shopping is one of the activities that comply their daily needs. Nowdays, online shopping is a trend. Besides easy to do, online shopping can be done any where and any time because of its online system. Along with the growth of online shopping, a lot of people prefer online shopping rather than traditional shopping to shops, markets, shopping centers and other places. Thisthings could change number of people on doing shopping trips. Thisresearch aimsto find out what factors effects someone’s decision to shop online and find out wether online shopping has a direct effect on shopping trips done by people. Data for this reseach collected by quistionnaire. This research will be done with Structural Equation Modeling (SEM) Method. This research shows that experience and trust are strong factors on someone for making decision to shop online and shows that online shopping did not effect directly to people’s shopping trips.ABSTRAKTransportasi adalah kegiatan perpindahan tempat orang atau suatu benda dari satu tempat ke tempat lainnya. Transportasi dilakukan bukan karena keinginan, melainkan sebuah kebutuhan turunan karena manusia harus melakukan aktivitas untuk memenuhi kebutuhan mereka sehari-hari. Belanja adalah salah satu kegiatan yang dilakukan untuk memenuhi kebutuhan sehari-hari. Belanja online sendiri menjadi sangat trend saat ini. Belanja online selain mudah untuk dilakukan, bisa dilakukan kapan saja, dimana saja karena sistemnya yang bersifat online. Seiring dengan perkembangan belanja online, tidak sedikit orang yang lebih memilih melakukan belanja online dibandingkan melakukan belanja langsung ke toko, pasar, pusat perbelanjaan, dan tempat lainnya. Hal ini bisa jadi mempengaruhi jumlah orang yang melakukan perjalanan belanja. Penelitian ini dilakukan mengetahui faktor apa saja yang berperan dalam keputusan seseorang melakukan belanja online dan mengetahui apakah belanja online berpengaruh secara langsung terhadap perjalanan belanja yang dilakukan masyarakat. Data untuk penelitian didapatkan melalui kuesioner. Penelitian ini akan menggunakan Metode Structural Equation Modeling atau SEM. Dari hasil penelitian didapatkan bahwa pengalaman dan kepercayaan adalah dua faktor yang kuat dalam penentuan keputusan seseorang melakukan belanja online dan belanja online tidak mempengaruhi perjalanan belanja secara langsung

Present-orientation and the outcome of contemplating death

2015 ◽  
Vol 27 (3) ◽  
pp. 312-329
Author(s):  
Ryo Ishii
Keyword(s):  
Young Adults ◽  
Structural Equation Modeling ◽  
Direct Effect ◽  
Young Adulthood ◽  
Structural Equation ◽  
Time Perspective ◽  
Ego Identity ◽  
Equation Modeling ◽  
Before And After ◽  
The Individual

The purpose of this study was to test the hypothesis that the outcome of contemplating death during young adulthood, a change in time attitude, is influenced by present-orientation via the views of death. A total of 199 undergraduates responded to a questionnaire assessing time attitude and present-orientation before and after the assignment to contemplate death. The results of structural equation modeling revealed that present-orientation has a direct effect on the outcome, but the view of death does not have a mediated effect. The results of ANOVA also supported the direct effect of present-orientation. The analysis of the individual description showed that present-orientation has relevance with how to think life after contemplating death. The relationships between contemplating death and young adults’ ego identity which is closely related to time perspective were discussed.

Moral Disengagement: Mediator Between Moral Perfectionism and Machiavellian Behavior Among Undergraduates?

2020 ◽  
pp. 003329412096406
Author(s):  
Abbas Abdollahi ◽  
Fatemeh Hashemi ◽  
Hamid Rezaeian Faraji ◽  
Simin Hosseinian ◽  
Kelly A. Allen
Keyword(s):  
Structural Equation Modeling ◽  
Undergraduate Students ◽  
Structural Equation ◽  
Moral Disengagement ◽  
Structural Model ◽  
Two Dimensions ◽  
Equation Modeling ◽  
Moral Standards ◽  
The Relationship ◽  
Moral Perfectionism

To better understand Machiavellian behavior among undergraduate students, the current study examines moral disengagement as a mediator in the relationship between Machiavellian behavior and two dimensions of moral perfectionism (concern over moral mistakes perfectionism and personal moral standards perfectionism). Participants were 210 undergraduate students (64% female) from three universities in Tehran, Iran, aged between 18 and 27 years old. Structural equation modeling revealed that Machiavellian behavior was negatively associated with personal moral standards perfectionism and positively associated with moral disengagement. The results of the structural model showed a non-significant relationship between concern over moral mistakes perfectionism and Machiavellian behavior. However, multi-model analysis provided evidence that moral disengagement partially mediated the relationship between personal moral standards perfectionism and Machiavellian behavior. The findings also showed that there was a relationship between concern over moral mistakes perfectionism and Machiavellian behavior through moral disengagement. The results suggest that while moral perfectionism is often accompanied with moral disengagement, Machiavellian behavior may be an explanation for individuals with these traits.

Teacher Role Stress, Satisfaction, Commitment, and Intentions to Leave: A Structural Model

2009 ◽  
Vol 105 (3) ◽  
pp. 771-786 ◽  
Author(s):  
Sharon Conley ◽  
Sukkyung You
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Structural Model ◽  
Coastal Region ◽  
Role Stress ◽  
Equation Modeling ◽  
Role Overload ◽  
Intentions To Leave ◽  
Teachers Perceptions ◽  
Confirmatory Factor

Structural equation modeling was used to assess the plausibility of a conceptual model specifying hypothesized linkages among teachers' perceptions of the role stresses of role ambiguity, role conflict, and role overload and commitment, satisfaction, and intentions to leave their employing school. 178 teachers in four high schools in a southern coastal region of California responded to survey questions designed to capture the above constructs. Confirmatory factor analysis was used to assess whether the role-stress items fit hypothesized constructs. Structural equation modeling results indicated that satisfaction and commitment are two mediators in the role stresses–intentions to leave relationship.

9. Structural Equation Modeling with Robust Covariances

1998 ◽  
Vol 28 (1) ◽  
pp. 363-396 ◽  
Author(s):  
Ke-Hai Yuan ◽  
Peter M. Bentler
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Structural Model ◽  
Likelihood Function ◽  
Breakdown Point ◽  
Individual Case ◽  
Equation Modeling ◽  
Parameter Estimates ◽  
Sample Covariance ◽  
Bounded Influence

Existing methods for structural equation modeling involve fitting the ordinary sample covariance matrix by a proposed structural model. Since a sample covariance is easily influenced by a few outlying cases, the standard practice of modeling sample covariances can lead to inefficient estimates as well as inflated fit indices. By giving a proper weight to each individual case, a robust covariance will have a bounded influence function as well as a nonzero breakdown point. These robust properties of the covariance estimators will be carried over to the parameter estimators in the structural model if a technically appropriate procedure is used. We study such a procedure in which robust covariances replace ordinary sample covariances in the context of the Wishart likelihood function. This procedure is easy to implement in practice. Statistical properties of this procedure are investigated. A fit index is given based on sampling from an elliptical distribution. An estimating equation approach is used to develop a variety of robust covariances, and consistent covariances of these robust estimators, needed for standard errors and test statistics, follow from this approach. Examples illustrate the inflated statistics and distorted parameter estimates obtained by using sample covariances when compared with those obtained by using robust covariances. The merits of each method and its relevance to specific types of data are discussed.

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