scholarly journals Using structural equation modelling for understanding relationships influencing the middle school technology teacher’s attitudes toward STEAM education in Korea

2021 ◽  
Author(s):  
Young-Heung Kim ◽  
Seung-Il Na
Keyword(s):  
Educational Change ◽  
Structural Equation ◽  
Structural Model ◽  
Instructional Resources ◽  
Instructional Efficacy ◽  
Instructional Resource ◽  
Technology Teachers ◽  
Steam Education ◽  
Teachers Attitudes ◽  
Resource Collaboration

AbstractThe purpose of this study was to investigate the structural relationship between technology teachers’ attitudes toward STEAM education and the cooperation of instructional resources collaboration, school educational change receptivity, and instructional expertise and instructional efficacy. The population comprised about 3500 technology teachers working in middle schools in Korea, and the sample size was set at 650. Data were collected in parallel with postal surveys and online surveys. A total of 650 copies were distributed, of which 409 were recovered, and 283 copies were used for analysis after data cleaning. The Mplus 7 program was used for data analysis, and the significance level was set at 5%. First, we found that the suitability of the structural model established to clarify technology teachers’ attitudes toward STEAM education, instructional resource collaboration, school educational change receptivity, instructional expertise, and instructional efficacy was generally good, so the relationship between the variables was reasonably confirmed. Second, school educational change receptivity and instructional efficacy were found to have a direct effect on attitudes toward STEAM education. Third, the teachers’ instructional resources collaboration was confirmed to influence their attitudes toward STEAM education by mediating the school educational change receptivity and instructional efficacy, and their instructional expertise mediated their instructional efficacy. Fourth, school educational change receptivity was confirmed to influence attitudes toward STEAM education through the dual media of instructional expertise and instructional efficacy. Finally, instructional resource collaboration was confirmed to influence attitudes toward STEAM education through school educational change receptivity, instructional expertise, and instructional efficacy.

Personality Measurement and Profile in a European Sample of Civil Airline Pilots

2019 ◽  
Vol 35 (6) ◽  
pp. 791-800 ◽  
Author(s):  
Karina Mesarosova ◽  
Alex B. Siegling ◽  
Rachel A. Plouffe ◽  
Donald H. Saklofske ◽  
Martin M. Smith ◽  
...  
Keyword(s):  
Structural Equation ◽  
Structural Model ◽  
Population Sample ◽  
Civil Aviation ◽  
Equation Modeling ◽  
Personality Profile ◽  
Working Population ◽  
Internal Reliability ◽  
Airline Pilots ◽  
Pilot Sample

Abstract. The study examined the psychometric properties of the Revised NEO Personality Inventory (NEO PI-R, UK edition) in a large European sample of civil airline pilots. The NEO PI-R is a comprehensive and robust measure of personality that has been validated across cultures and contexts. Furthermore, the personality profile of the pilot sample was examined and compared to a normative sample representing the UK working population. Data from 591 pilots (95.1% male) were collected. Analyses include the internal reliability and factorial validity (precisely, Exploratory Structural Equation Modeling) to examine the measurement equivalence of the NEO PI-R with reference to UK norms ( N = 1,301). Internal reliability estimates of the NEO PI-R scores were good at the domain level, but generally weak at the facet level. The structural model in the pilot sample was congruent with the general working population sample. Furthermore, there was convincing evidence for a distinct personality profile of civil pilots, although the stability of this profile will require further validation. The NEO PI-R’s validity in the assessment of general personality in civil airline pilots is discussed, along with implications of the results for the utility of personality assessment in civil aviation contexts.

Forced Zero Cross-Loading Misspecifications in Measurement Component of Structural Equation Models

Methodology ◽  
2014 ◽  
Vol 10 (4) ◽  
pp. 138-152 ◽  
Author(s):  
Hsien-Yuan Hsu ◽  
Susan Troncoso Skidmore ◽  
Yan Li ◽  
Bruce Thompson
Keyword(s):  
Structural Equation ◽  
Structural Model ◽  
Structural Equation Models ◽  
Equation Model ◽  
Model Fit ◽  
Model Specification ◽  
Simulation Design ◽  
Measurement Models ◽  
Fit Statistics ◽  
Path Coefficients

The purpose of the present paper was to evaluate the effect of constraining near-zero parameter cross-loadings to zero in the measurement component of a structural equation model. A Monte Carlo 3 × 5 × 2 simulation design was conducted (i.e., sample sizes of 200, 600, and 1,000; parameter cross-loadings of 0.07, 0.10, 0.13, 0.16, and 0.19 misspecified to be zero; and parameter path coefficients in the structural model of either 0.50 or 0.70). Results indicated that factor pattern coefficients and factor covariances were overestimated in measurement models when near-zero parameter cross-loadings constrained to zero were higher than 0.13 in the population. Moreover, the path coefficients between factors were misestimated when the near-zero parameter cross-loadings constrained to zero were noteworthy. Our results add to the literature detailing the importance of testing individual model specification decisions, and not simply evaluating omnibus model fit statistics.

The Impact of Service Satisfaction, Relational Satisfaction and Commitment on Customer Loyalty in Logistics Outsourcing Relationship

2015 ◽  
Vol 4 (1and2) ◽  
Author(s):  
Sanjit Singh H.
Keyword(s):  
Customer Loyalty ◽  
Structural Equation ◽  
Structural Model ◽  
Reliability And Validity ◽  
Service Satisfaction ◽  
Equation Modeling ◽  
Relational Satisfaction ◽  
Logistics Outsourcing ◽  
Major Predictor ◽  
The Impact

This research explores the impact of service satisfaction, relational satisfaction, price satisfaction, and commitment on customer loyalty in logistics outsourcing relationships in Indian scenario. 254 users of logistics services from India were selected for investigating the potential linkages among the aforementioned satisfaction aspects and loyalty. Structural equation modeling (SEM) was employed to test the reliability and validity of the measurement and structural model developed to study the relationship among the linkages. Findings from the study supports that logistics service satisfaction, price satisfaction, relational satisfaction and commitment do influence loyalty positively. The analysis suggests that service satisfaction is the most important antecedent having primary influence in the formation of customer loyalty. Service satisfaction also has secondary influence on loyalty by acting as a strong driver in both relational satisfaction and commitment aspects of the service dimensions. Price satisfaction though positively been driven by service satisfaction, was found to have less significant effect as a predictor of loyalty in this context. The present study suggests that relational satisfaction is the second major predictor of loyalty which also drives commitment. This research is not an end-point but an attempt to establish the linkages and the effect among the antecedents driving the building and retention of good buyer-seller relationship in logistics outsourcing.

Assessment of Teacher Attitudes Toward Inclusion of Students with Disabilities: A Confirmatory Factor Analysis

1997 ◽  
Vol 14 (1) ◽  
pp. 51-64 ◽  
Author(s):  
Georgios D. Sideridis ◽  
Judy P. Chandler
Keyword(s):  
Physical Education ◽  
Music Education ◽  
Students With Disabilities ◽  
Structural Equation ◽  
Structural Model ◽  
Equation Modeling ◽  
Future Research ◽  
Physical Education Teachers ◽  
The Status ◽  
Fit Index

The Teacher Integration Attitudes Questionnaire (TIAQ) was developed in order to assess the attitudes and beliefs of teachers (n = 110) with regard to the inclusion of students with disabilities in regular education settings. Using Structural Equation Modeling, the final structural model of the TIAQ comprised four constructs, namely, “Skills,” “Benefits,” “Acceptance,” and “Support.” The final model was fully supported by the derivation sample of music education teachers (n = 54) and produced a Comparative Fit Index (CFI = 1.00). The replication sample of physical education teachers (n = 56) partially supported the generality of the TIAQ, (CFI = .844). Further, the internal consistency properties of the TIAQ (Cronbach’s alpha was .77 for both samples) were satisfactory. We conclude that the psychometric properties of the TIAQ were adequate, and it can be used as a valid assessment in evaluating the status of inclusion for students with disabilities as perceived by music education and physical education teachers. However, future research is needed to support its generality with other groups of teachers and professionals.

scholarly journals The Impact of Brand Equity on Employee’s Opportunistic Behavior: A Case Study on Enterprises in Vietnam

2021 ◽  
Vol 14 (4) ◽  
pp. 164
Author(s):  
Quang Bach Tran ◽  
Quoc Hoi Le ◽  
Hoai Nam Nguyen ◽  
Dieu Linh Tran ◽  
Thi Thuy Quynh Nguyen ◽  
...  
Keyword(s):  
Employee Engagement ◽  
Brand Equity ◽  
Structural Equation ◽  
Structural Model ◽  
Negative Impact ◽  
Theory And Practice ◽  
Emotional Engagement ◽  
Opportunistic Behavior ◽  
Corporate Brand ◽  
The Impact

Brand is considered a valuable asset that a business wants to create and maintain growth throughout its business cycle. This paper examines the impact of corporate brand equity on employees’ opportunistic behavior. The paper uses quantitative research methods, through linear SEM (Structural Equation Modelling) analysis of structural model with a scale of 609 samples of employees of enterprises in Vietnam. The research results show that corporate brand equity has a negative impact on employees’ opportunistic behavior. In the relationship between these two factors, trust and emotional engagement act as intermediate factors. Additionally, the research demonstrates that trust has a positive effect on all three components of employee engagement, including emotional engagement, computational engagement, and standards-based engagement. On that basis, the research suggests a number of recommendations to minimize the opportunistic behavior of employees in the enterprise. The findings of this study have shown the importance and impact of brand equity on employee opportunistic behavior. These are meaningful contributions in both theory and practice to help businesses gain deeper insight into brand equity and the need to pay attention to building and developing durable brand equity for businesses. At the same time, it is an important basis for the next research projects.

To examine the relationships between supplier development practices and supplier-buyer relationship practices from the supplier’s perspective

2017 ◽  
Vol 24 (5) ◽  
pp. 1309-1336 ◽  
Author(s):  
Sarang Joshi ◽  
Manoj Kharat ◽  
Rakesh Raut ◽  
Sachin Kamble ◽  
Sheetal Kamble
Keyword(s):  
Structural Equation ◽  
Success Factors ◽  
Structural Model ◽  
Manufacturing Firms ◽  
Supplier Development ◽  
Competitive Advantages ◽  
Content Type ◽  
The Relationship ◽  
Relationship Improvement

Purpose The purpose of this paper is to examine the relationships between supplier development practices (SDPs) and supplier-buyer relationship practices from the supplier’s perspective (SBRSP), and seek to understand how specific SDPs may impact a buyer’s operational performance as well as supplier-buyer relationship practices. Design/methodology/approach The authors conducted a survey of 512 respondents from the different manufacturing firms in India and applied structural equation modelling to test a structural model that proposes the impacts of various efforts of SDPs on a buyer’s performance as well as SBRSP. Findings The study concludes that SDPs and SBRSP together improve the relationship between a buyer and supplier, and this improved relationship leads to competitive advantages (CAs) followed by profitability. Results indicate that supplier perspective of buyer-supplier relationship can be improved under the condition of SDPs and SBRSP together. SDPs are driven by productive measure and competitive pressure, whereas customer uncertainty is found to be statistically insignificant. Research limitations/implications The study was carried out in North Maharashtra Industrial Zone of India, where the auto sector and machine/components manufacturing firms have been established for a considerable period of time. Results of the study are limited to manufacturing organizations predominantly focussing on the automobile sector and machine/components manufacturing firms. Practical implications This study provides significant insights into the specific impact of various SDPs and SBRSP for both academics and practitioners. SDPs along with SBRSP practices lead to improvement in the relationship leading to CAs. SBRSP suggests that trust, long-term commitments and the supplier’s perspective are important practices for relationship improvement. Originality/value The current study attempts to identify what are the success factors for the supplier-buyer relationship from the supplier’s perspective and SDPs and how the supplier-buyer relationship can be improved under the condition of SDPs and SBRSP. Hence, the aim is to develop a more thorough understanding of the outcomes of a supplier-buyer relationship improvement from both buyer’s and supplier’s perspective, under the conditions of supplier development to achieve CAs leading to profitability. Furthermore, the study analyses the effect of the improved supplier-buyer relationship for achieving CAs leading to profitability.

SMEs strategic networks and innovative performance: a relational design and methodology for knowledge sharing

2020 ◽  
Vol 24 (6) ◽  
pp. 1369-1392 ◽  
Author(s):  
Elena-Mădălina Vătămănescu ◽  
Juan-Gabriel Cegarra-Navarro ◽  
Andreia Gabriela Andrei ◽  
Violeta-Mihaela Dincă ◽  
Vlad-Andrei Alexandru
Keyword(s):  
Knowledge Sharing ◽  
Structural Equation ◽  
Structural Model ◽  
Resource Scarcity ◽  
Content Type ◽  
Strategic Networks ◽  
Innovative Performance ◽  
Positive Effects ◽  
Model Combining ◽  
Fierce Competition

Purpose In the context of resource scarcity, the affiliation of small and medium-sized enterprises (SMEs) to strategic networks has emerged as a fruitful path towards knowledge sharing as a reaction to fierce competition and with a view to enhance their innovative performance. In this framework, this paper aims to investigate the influence exerted by a specific relational design (i.e. types of strategic networks) and methodology (i.e. channels and content) of knowledge sharing on SMEs innovative performance. Design/methodology/approach A questionnaire-based survey with 102 top managers of European SMEs in the industrial field was conducted from June to August 2019 and a partial least squares structural equation modelling technique was used. The database was initially filtered to ensure the adequacy of the sample and data was analysed using the statistics software package SmartPLS 3.0. Findings The results concluded that the structural model explains 38.5% of the variance in SMEs innovative performance, indicating the positive effects exerted by offline and online and by competitive knowledge sharing on the dependent variable. Research implications The study has both theoretical and practical implications in that it sets out a reference point for the key performance indicators for strategic networks structure, formation and development and, implicitly, for the selection of the most efficient relational design and methodology. Originality/value The pivotal originality elements reside in the advancement of a more comprehensive conceptual and structural model combining a two-fold operationalization of SMEs strategic networks (founded on business abilities or on the personality of the partner) and in the investigation of knowledge transfer processes at the inter-organizational levels within a context-centric approach.

An Informant Questionnaire for Detecting Alzheimer's Disease: Are Some Items Better Than Others?

2011 ◽  
Vol 17 (4) ◽  
pp. 674-681 ◽  
Author(s):  
Sietske A.M. Sikkes ◽  
Dirk L. Knol ◽  
Mark T. van den Berg ◽  
Elly S.M. de Lange-de Klerk ◽  
Philip Scheltens ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Structural Equation ◽  
Structural Model ◽  
The Elderly ◽  
Equation Modeling ◽  
Or Education ◽  
Healthy Elderly ◽  
Patient Groups ◽  
Better Than

AbstractA decline in everyday cognitive functioning is important for diagnosing dementia. Informant questionnaires, such as the informant questionnaire on cognitive decline in the elderly (IQCODE), are used to measure this. Previously, conflicting results on the IQCODEs ability to discriminate between Alzheimer's disease (AD), mild cognitive impairment (MCI), and cognitively healthy elderly were found. We aim to investigate whether specific groups of items are more useful than others in discriminating between these patient groups. Informants of 180 AD, 59 MCI, and 89 patients with subjective memory complaints (SMC) completed the IQCODE. To investigate the grouping of questionnaire items, we used a two-dimensional graded response model (GRM).The association between IQCODE, age, gender, education, and diagnosis was modeled using structural equation modeling. The GRM with two groups of items fitted better than the unidimensional model. However, the high correlation between the dimensions (r=.90) suggested unidimensionality. The structural model showed that the IQCODE was able to differentiate between all patient groups. The IQCODE can be considered as unidimensional and as a useful addition to diagnostic screening in a memory clinic setting, as it was able to distinguish between AD, MCI, and SMC and was not influenced by gender or education. (JINS, 2011, 17, 674–681)

Researchers’ awareness about plagiarism and impact of plagiarism detection tools – does awareness effect the actions towards preventing plagiarism?

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sk. Mamun Mostofa ◽  
Mashiat Tabassum ◽  
S.M. Zabed Ahmed
Keyword(s):  
Structural Equation ◽  
Structural Model ◽  
Personal Characteristics ◽  
Equation Model ◽  
Equation Modeling ◽  
Plagiarism Detection ◽  
Chi Square ◽  
Content Type ◽  
Reported Study ◽  
Chi Square Test

Purpose This paper aims to analyse researchers’ awareness about plagiarism and impact of plagiarism detection tools on the actions that they take to prevent plagiarism. It also employs a structural model that examines whether awareness of plagiarism and anti-plagiarism tools have any significant effect on the actions taken by the researchers to avoid plagiarism. Design/methodology/approach A survey questionnaire was distributed to researchers at a large public university in Bangladesh. The survey accumulated 184 valid responses. Descriptive statistics were obtained to assess researchers’ awareness about plagiarism and impact of plagiarism detection tools and the actions taken by them. The reasons that may cause plagiarism were also identified. The awareness of the availability of the anti-plagiarism software that was being used by the university and its actual use by the researchers was gathered through the survey. Non-parametric Mann–Whitney and Kruskal–Wallis tests were conducted to investigate the differences in awareness levels and actions in terms of gender, age, discipline and current level of research. The chi-square test was carried out to examine the relationship between awareness about the availability of the anti-plagiarism software and its use by the researchers. Finally, the survey data were analysed using structural equation modeling to examine the effects of awareness of plagiarism and anti-plagiarism software on the actions taken by the researchers. Findings The study revealed that the level of awareness regarding plagiarism and impact of plagiarism detection software is generally high among the researchers. There are some significant differences between researchers’ demographic and personal characteristics and their awareness levels and actions with regard to plagiarism. The findings indicate that almost three-quarters of the researchers were aware about the anti-plagiarism tool that is being used, whereas more than half of the researchers indicated that they used the software to assess their works. The results of the structural equation model do not show a good fit, although there is strong statistical evidence that awareness about plagiarism and anti-plagiarism software has significantly impacted researchers’ actions towards preventing plagiarism. Originality/value There is no reported study on researchers’ awareness of plagiarism and its affiliated issues in Bangladesh. The findings of this study will not only provide useful insights regarding awareness about plagiarism but also assist university authorities to formulate relevant policy and take necessary actions against plagiarism in higher education institutions.

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.

Sign in / Sign up

Export Citation Format

Share Document