Order Confirmatory Factor Analysis Research Articles

Mediating Role of Self-Efficacy between Organizational Culture and Occupational Stress at the Secondary School Level

he current research work was designed to investigate the mediating role of self-efficacy between organizational culture and occupational stress at the level of secondary school. The current research work was carried out in three districts of Punjab, i.e., District Attock, District Chakwal, and District Rawalpindi. All male secondary school teachers (SSTs) from both the public and private sectors comprised the population of this research work. A total of seven hundred and sixty-eight (768) teachers were selected (384 SSTs from the private sector and 384 SSTs from the public sector) as sample size from both sectors. The sampling technique was simply random for the collection of data. Adapted research instruments were utilized for the collection of data. One null hypothesis was framed. Data analysis was done using Statistical Package for Social Sciences (SPSS) version 25.0, Analysis of Moment Structures (AMOS) version 21.0, and MS Excel. Mean Score, Standard Deviation (SD), Factor Analysis, Confirmatory Factor Analysis (CFA), Second order CFA, Structural Equation Modeling (SEM), and Chi-square were used. The null hypothesis was rejected. It was concluded that Self-efficacy (SE) was a mediating variable between organizational culture (OC) and occupational stress (OS). Both partial and full mediation were found significant. It was recommended that continuing professional development programs for teachers of government in general and private in particular be designed to enhance teachers’ level of self-efficacy.

Adolescent/Young Adult Self-Management and Independence Self-Report Scale: Preliminary psychometric findings.

This study examined preliminary psychometrics of the Adolescent/Young Adult Self-Management and Independence Self-Report Scale (AMIS II SR). Adolescents and adults (N= 159; 13-38 years old) with spina bifida from two clinics and one community sample completed the AMIS II SR. The majority (83%) had myelomeningocele, and about half were female (51.6%). The sample included 44.7% White, 11.3% Black and over one-third Hispanic/Latino (38.4%) participants. Descriptive analyses and reliability were assessed; a confirmatory factor analysis (CFA) was conducted. Item-to-total correlations support the AMIS II SR total scale (r= .38-.79) and its two subscales: condition (r= .49-.67) and independent living (r= .49-.85). Internal consistency reliability was high (α = .91-.96) for the AMIS II SR total scale and subscales. A higher order CFA model that included independent living and condition self-management as first-order factors and a second-order overall self-management factor had excellent fit (RMSEA =0.06; CFI =0.97; TLI =0.96). Descriptive analyses findings were reported. This study provides psychometric evidence for the use of the AMIS II SR total (overall) scale and subscales (condition and independent living) to assess self-management and independence.

Self-efficacy assessment in chemistry learning: Development and validation using confirmatory factor analysis

Learner self-efficacy is the confidence of a learner to determine how he feels, thinks, motivates and behaves. The purpose of this study was to analyze the instrument of self-efficacy assessment of students in the Aliyah madrasah in Musi Rawas Prov. South Sumatra. The total of respondents to testing this instrument was 234 students. This study uses Second Order Confirmatory Factor Analysis (CFA) to determine the validity and reliability of Likert scale instruments regarding students' self-efficacy in chemistry learning. The sampling technique used is proportionate Stratified Random Sampling. The research results show that the instrument developed has good construct validity as seen from the loading factor value > 0.50. The construct reliability test using CR and AVE values also showed acceptable results so it was declared suitable for use in data collection to measure self-efficacy in learning chemistry. It is hoped that teachers can measure student self-efficacy using this instrument. It is expected that teachers can measure students' self-efficacy using this instrument.

How to Improve the Performance of Public Elementary Schools? an Empirical Evidence from Indonesia

This study aims to assess the construct validity of public elementary school performance from the proposed performance theory so that the observed variables can form a latent variable. This study used a quantitative approach with a measurement model in the form of First Order Confirmatory Factor Analysis. The sample in this study amounted to 233 principals of public elementary schools. Meanwhile, the location in this study is Brebes Regency, Central Java Province, Indonesia. Then, the data analysis in this research starts with developing the theoretical model, making a causality relationship path diagram, selecting the input matrix and obtaining the model estimate, assessing the identification of the structural model, and assessing the criteria of Goodness of Fit. This study reveals variables for measuring school performance, such as content standards, process standards, graduate competency standards, educator and education staff standards, facilities and infrastructure standards, management standards, financing standards, and education assessment standards, indicating that three observational variables are not significant and invalid in forming school performance latent variables, namely standards of educators and educational staff, standards of facilities and infrastructure, and standards of financing. In this regard, this research makes a practical contribution, namely that there is a need to change the orientation of fulfilling national education standards, which leads to school assessment based on performance appraisal based on curriculum development and implementation, teacher professional development, and optimizing the responsibility of stakeholders to improve educational quality so that schools able to provide optimal performance in providing services to the community.

Developing Successful Commercialisation Model Through Technology Transfer Assessing its Validity and Reliability by Using Structural Equation Modelling

The aim of this research is to develop and validate a suitable structural model for commercialization of successful innovations/ideas/methodology of R&D organizations through technology transfer. The survey data was extracted from 231 responses out of 310 target participants against the structured questionnaire containing 60 questions designed based on the literature survey. The factor structure and preliminary model are evaluated through Exploratory Factor Analysis. The first order and higher order Confirmatory Factor Analysis(CFA) models are evolved by estimating coefficients, covariance matrix, variances and performance indices. Structural Equation Modelling (SEM) is employed to develop and assess the validity and reliability of the structural model. The results implied that the developed structural model has achieved the required level of metrics and it can be implemented in to R&D organizations and industries for successful commercialization.

DIMENSIONS OF EMPLOYEE OUTCOMES IN RESTAURANTS: A CONFIRMATORY FACTOR ANALYSIS

This study was conducted to address the issue of disengaged employees in the context of restaurants by determining the underlying factors for its incidence as employee outcomes. This study utilized the exploratory mixed-method approach following a two-phase study design. The first phase consisted of in-depth interviews with six restaurant employees, selected purposively in order to develop a significant statement for the development of factor structure on employee outcomes which will be used in the second phase. The second phase was the development of survey instruments for 420 respondents, selected randomly. In the first phase, exploratory factor analysis was used to identify the salient factors which yielded five dimensions. The five dimensions that characterized employee outcomes, after 12 iterations are an empowered workforce, customer focus, efficient performance, a trusted and confident workforce, and continuing professional development. These dimensions were validated through a quantitative phase utilizing the confirmatory factor analysis in order to identify the best-fit model. Four model configurations were undertaken and model 4 was considered the most parsimonious model, essentials statistical analysis revealed that all of the identified factors were significantly correlated. The model explains 69.6 percent of the variation in employee outcomes.<p> </p><p><strong> Article visualizations:</strong></p><p><img src="/-counters-/soc/0005/a.php" alt="Hit counter" /></p>

Development and validation of a scale measuring public perceptions of racial environmental justice in parks

Advancing engagement and representation of racially and ethnically diverse communities in parks is an increasing priority for addressing environmental injustices. However, to date, few quantitative tools exist to assess and monitor the effectiveness of such practices. This study included the development, testing, and validation of a new scale focused on three integrated factors reflecting multiple dimensions of racial environmental justice: Park Engagement, Procedural Participation, and Ethno-racial Representation (PEPPER). The PEPPER scale performed well in a Pennsylvania state level pilot sample (N = 611) and subsequently in a national sample (N = 1,212) of racially and ethnically diverse park users, exhibiting strong model fit in first and second order confirmatory factor analyses as well as measurement invariance by race/ethnicity and park user status. Findings provide evidence of the measure’s potential utility as a tool for capturing public perceptions of racial environmental justice in park contexts.

Instrumental Analysis of Student Perceptions of Chemistry Learning with the STEM Approach at the end of the Covid-19 Pandemic using Second Order Confirmatory Factor Analysis

This study aims to prove the construct validity and reliability of students' perceptions of chemistry learning instruments using the STEM approach using Second Order Confirmatory Factor Analysis. The sample in this study was 455 public high school students spread across South Bengkulu district, Bengkulu Province. The instrument developed is a questionnaire instrument using a Likert scale which consists of four dimensions, namely the scientific dimension (DS), the mathematical dimension (DM), the engineering and technology dimension (DTT) and the STEM dimension (DST). The results of the study show that the four dimensions have good validity and are still acceptable because the loading factor value is above 0.40. In proving reliability using Cronbach's Alpha, a value of > 0.6 (0.855) was obtained so that it was declared reliable and in further analysis proving construct reliability using Composite Reliability (CR) showed that all dimensions of student perceptions had good construct reliability as well

Forest biomass and bioenergy supply chain resilience: A conceptual decision-making model

In recent years, with the increasing concerns about the global warming, limited non-renewable energy sources, and uncertainty in renewable energy sources accessibility, how to continuously supply clean sources of energy in form of a resilient system structure has become a topic of intense scholarly interest. Based on the milestone literature on the research field of renewable and non-renewable energies, forest biomass and bioenergy have significant compatibility with both industry and nature. Through this, our proposal contributes to supply one of the most available clean energy sources and direct this type of energy needed in an optimal way. The essential resilience components are determined and classified according to the theoretical and practical concepts. Then, this research is made use of a conceptual decision-making model based on third order confirmatory factor analysis to explore the interactions among the components in form of a network. The results reveal that the proposed model has sufficient validity and reliability levels. Finally, key interactions among the elements of model that contributed to most of the impacts on the forest biomass and bioenergy supply chain resilience were found to be optimized constantly within the network.

Tipologi Financial Technology Paylater: Technology Acceptance Model (TAM)

The use of paylater fintech is currently mushrooming among the public because it makes it easier for people to shop online. The typology of fintech paylaters is based on the Technology Acceptance Model (TAM) method to determine the contribution of the magnitude of the Technology Acceptance Model (TAM) aspect in explaining the use of fintech paylaters. The study used a sample of 101 fintech paylater respondents who live in Jakarta and data analysis techniques used Tructural Equation Modeling (SEM-AMOS) with the First Order Confirmatory Factor Analysis (CFA) technique. The results showed that the contribution of the Technology Acceptance Model (TAM) aspects in explaining the use of the Technology Acceptance Model (TAM) was the Technology Acceptance Model (TAM) respectively, namely Perceived Usefulness of 93.7%, Attitude Toward Using of 93.7 %, Perceived Ease of Use of 92.20%, Behavioral Intention to Use of 78.5% and lastly Actual Use of 43.9%.

Development and psychometric testing of blended learning for nursing clinical practice

A Blended lesson evaluation is used to assess blended lessons preparing the nursing students for clinical practice. The objectives of this study were to develop a blended learning for nursing clinical practice (BNCP) instrument and test its psychometric properties. This study makes use of a mixed-method sequential explanatory design. Twenty-two items were developed from the review literature. The BNCP instrument was examined by five experts in terms of content validity. A quantitative study was conducted using exploratory factor analysis and confirmatory factor analysis (CFA). The sample consisted of 220 nursing students. The results showed that BNCP was composed of three factors, namely the learning process, convenience in terms of learning and ability to perform. The indicators had a range of communality, i.e., from 0.274 to 0.752. Three factors accounted for 60.29% of the variance. The remaining 16 items were analysed by CFA in secondary order in another group. The measurement model fitted the empirical data (p > 0.05). The most important indicator revealed by the BCNP model was ‘ability to perform’. Finally, the instrument retained 3 subscales of 15 items that had construct validity. BNCP has good construct validity and reliability. BNCP is a tool that can be used to assess the learning of nursing students. Keywords: Blended learning; nursing clinical practice tool; psychometric test

Technostress in older onliners: a scale adaptation study

ABSTRACT In this study, it was aimed to bring the scale with proven psychometric qualities to Turkish culture by testing the validity and reliability of the Technostress Scale developed by Nimrod to measure the stress caused by the use of information and communication technology (ICT) in older adults. After the scale was translated into Turkish, it was distributed to 551 participants in total selected by convenience sampling method, aged 60 and over. For the content validity of the scale, expert opinion was consulted. Exploratory Factor Analysis (EFA) was applied to determine the factor structure of the scale, and Confirmatory Factor Analysis (CFA) was applied to test the accuracy of the determined factor structure, and the internal consistency coefficient was calculated for its reliability. As a result of the EFA, it was found that the percentage of the total explained variance was .67 and that the items were grouped under five factors. According to the results of the first and second order CFA, it was found that the Turkish version of the scale showed an acceptable factorial validity. Moreover, the reliability study indicated that Cronbach’s Alpha internal consistency of the scale was .78 and it was found that correlations changed between r = .28–.56. The results of the analysis indicated that the Turkish version of the Technostress Scale is a valid and reliable instrument that can be used to assess the stress levels of older onliners using ICT.

The Second Order Confirmatory Factor Analyses (CFA) Model Fit Assessments of Brand Awareness with Brand Loyalty: In Case of Private and Public Banks of Ethiopia, Bule Hora Town

The Second Order Confirmatory Factor Analyses (CFA) Model Fit Assessments of Brand Awareness with Brand Loyalty: In Case of Private and Public Banks of Ethiopia, Bule Hora Town

Smart tourism: antecedents to Indian traveller's decision

PurposeThe purpose of this paper is to explore the tourists' perception of smart tourism with the application of virtual reality and design a framework of smart tourism with elements of VR for Indian Tourism especially in the periods of the pandemic COVID-19. The ever-evolving and unprecedented COVID 19 situation had posed extreme challenges for the travel and tourism industry. In such conditions, it is becoming increasingly necessary to rely on digital technologies, ICT and smart tourism. ICT has served as a catalyst for innovations in tourism.Design/methodology/approachThis study investigates the impact of smart tourism and virtual reality technology on the perception of tourists towards travelling decisions during and post COVID-19 scenario. The respondents involved in the study were tourists travelling in India, the tourists come from different parts of India. A structured questionnaire has been administered to collect data from 224 travellers across India. The questionnaire consisted 22 constructs. The constructs in this section were measured using a five-point Likert scale ranging. In the first step, the first order Confirmatory Factor Analysis (CFA) is carried out, by using the software IBM AMOS-20. The initial model is generated ix constructs, and outcomes are used to analyse the model's goodness of fit and construct validity. In the second step, Structural Equation Modelling (SEM) is carried out to do the path analysis of the proposed model. The effect of relationships amongst the theoretical constructs is also analysed using SEM.FindingsThe findings imply that the application of smart tourism along with virtual reality forms a positive perception of tourists and provides a sustainable platform for tourism organizations in Indian tourism. Virtual reality-based tourism has emerged as alternate for the tourism industry during the times of Covid, which in long run can be seen as a substitute to traditional tourism. The increasing use of blue ocean concepts, to delivery high-value experience at low cost has complimented the tourism industry. The researchers have made a modest attempt by proposing a blended model of smart tourism with virtual reality as a blue ocean strategy and which would ultimately facilitate the sustainability of the Industry by creating multi-dimensional values of experience for tourists in India.Research limitations/implicationsThe researchers have made a modest attempt by proposing a blended model of smart tourism with virtual reality as a blue ocean strategy, which would ultimately facilitate the industry's sustainability by creating multi-dimensional values of experience for tourists in India.Originality/valueThis qualitative study designs a smart tourism system with the use of the recent advances in ICT and Virtual Reality (VR), as a bridging solution and the saviour of the tourism sector in India during COVID 19. The integration of ICT into the travel experience has resulted in the social phenomena of smart tourism. This has led to a rise in use of smart tourism tools among tourism service providers.

A Second Order Confirmatory Factor Analysis of the Digital Transformation for a Distance Education Institution

In the current times, very little attention is paid on measuring the performance of digital transformation in educational institutions so that it can run sustainably. This study aimed to create an appropriate instrument in measuring digital transformation in educational institutions, especially distance education institution. The study used a quantitative approach and collected data from 402 Universitas Terbuka students of 5 faculties; the Faculty of Economics (FE), Faculty of Law, Social and Political Sciences (FLSPS), Faculty of Teacher Training and Education (FTTE), Faculty of Science and Technology as well as the Graduate Program. An online questionnaire was used to collect data related to digital transformation applied by the Universitas Terbuka as a distance education institution using the random sampling method. The data were analyzed using a Second Confirmatory Factor Analysis (CFA) to verify the instrument's factor structure based on the model developed in the study. The results of the study show evidence that the five indicators consist of a) Strategy and institutional governance, b) Curriculum and delivery methods, c) Assessment, d) Staff support and professional development, and e) Infrastructure and resources had good goodness of fit criteria and creating a valid and reliable instrument to measure the performance of digital transformation in distance education institution.

Confirmatory Factor Analysis to Measure Self-Efficacy and Outcome Expectation in Mathematics Learning

This study was conducted to analyze things that can have an influence on self-efficacy and outcome expectations in learning mathematics and to confirm the suitability of the model with the data using First order confirmatory factor analysis (1st Order CFA). The population in this study were students of SMA Plus Al Athiyah Aceh with a large sample of 53 students. The sample was selected based on a purposive sampling technique with the criteria that students with good, medium and low math achievement from each grade level. The research data were analyzed using the Linear Structural Model (LISREL) version 8.8 from Joreskog and Sorbom. The results of data analysis showed that the self-efficacy and outcome expectation instruments had good quality construct validity after eliminating the two items c3 and c5. Item c1 which is the belief in being able to correctly solve all math problems that the teacher gives most dominantly reflects self-efficacy in learning mathematics, while item d2 which feels it is important to learn mathematics most dominantly reflects the aspect of outcome expectation in learning mathematics.

Influence of subcontractors' “strategic capabilities” on “power”, “dependence” and “collaboration”: an empirical analysis in the context of procurement decisions

PurposeResearch on strategic procurement was mostly focussed on the clients' and main contractors' perspectives, while limited work had been done from a subcontractor's perspective. The paper hypothesises that “strategic capability” influences the latent constructs of power, dependence and collaboration in the main contractor–subcontractor relationship. Therefore, the purpose of this study is to investigate the influence of a subcontractor's strategic capabilities on power, dependence and collaboration.Design/methodology/approachA survey questionnaire was developed and distributed amongst the subcontractors in Australia, and 212 complete responses were received. Then second order confirmatory factor analysis and partial least square structure equation modelling (PLS-SEM) analysis were performed to test the hypothesised relationships.FindingsThe findings support “strategic capabilities” as a construct expressive of a subcontractor's unique market position and good business reputation. The findings also suggest that strategically capable subcontractors enhance their potential for forming partnerships with main contractors through dependence (StratC. → Dep., β = 0.84; Effect Size (ES) = 0.713; p < 0.01), collaboration (StratC. → Collab., β = 0.84; ES = 0.697; p < 0.01) and bargaining power (StratC. → Pow., β = 0.83; ES = 0.672; p < 0.01).Originality/valueThe study is one of its kind to explore the impact of a subcontractor's strategic capability on their bargaining power, dependability and ability to form collaborations. Furthermore, results indicate that the “strategic capabilities” of subcontractors can strongly influence their ability to create “dependence”, foster “collaboration” and exert “power” over a main contractor. The findings can help improve the strategic procurement decision-making processes of both subcontractors and main contractors to build better business relationships.

Confirmatory Factor Analysis on Educational Employees Engagement (Structural Equation Modeling Analysis)

An organization needs employees with high employee engagement with their organization to achieve goals. This study aims to determine employee engagement of the educational employees of X University. The population of the research was all educational employees at X University with the total sample of 202 subjects. The sampling technique used was simple random sampling method. The measurement instrument is the employment engagement scale. The analysis done by means of Structural Equation Modeling (SEM) with Second Order Confirmatory Factor Analysis (2nd Order CFA). The results of the research that the educational employees of X University show high employee engagement. The most dominant aspect, which reflect employee engagement is management support and the lowest aspect, which reflects employee engagement is sense of belonging. Keywords : confirmatory factor analysis, employee engagement, structural equation modeling

Validation of the Turkish version of the second victim experience and Support Tool (T-SVEST)

ObjectivesSecond victim experience defines the healthcare professionals involved in unexpected adverse patient events. The Second Victim Experience and Support Tool (SVEST) is a tool used to measure the second victim experience and the desired support resources. This study aims to carry out a cross-cultural adaptation of the SVEST and to evaluate the psychometric properties of the Turkish version (T-SVEST). MethodsThe T-SVEST was translated and adapted according to World Health Organization guidelines. 221 healthcare professionals including physicians, residents and nurses working at the emergency department, completed the survey. ​Cronbach's ​α ​values were assessed for reliability, and construct validity was assessed through confirmatory factor analysis in order to evaluate model fit. ResultsThe global Cronbach's α score of the T-SVEST was 0.90. The final version of the TSVEST including 24 items was consistent with values between 0.83 and 0.89. The most consistent dimension was turnover intentions with a Cronbach's value of 0.89, it was followed by institutional support (Cronbach α = 0.88). After applying modifications suggested by ​confirmatory factor analysis, a final model including 9 factor-structure (7 dimensions and 2 outcome variables) and 24 items was significantly improved with acceptable ​comparative fit index, ​Tucker-Lewis index ​and ​root mean square error of approximation. ConclusionThe Turkish version of the SVEST is a reliable and valid instrument that can be used to identify second victims and help implement support resources.

Competencies of Property Valuers in Thailand

The objectives of this research were to determine the component of the competencies of propertyvaluers in Thailand and to test the validity of the structure equation model of the competencies of propertyvaluers in Thailand with the empirical data. The sample consisted of 200 senior professional valuers. The instrumentemployed in this research was the questionnaires concerning the competencies. The data were analyzedby Confirmatory Factor Analysis. The test of the structural validity test of the competency model indicated thatthe secondary order confirmatory factor analysis of the competency of property valuers in Thailand model wereconsistent with empirical data significantly. The competency of property valuers in Thailand model were thetwo components of the competency of the property valuers in Thailand consisted of 1) core competency and2) functional competency. The five components of the core competency of the property valuers consisted ofสมรรถนะของนักประเมินมูลค่าทรัพย์สินในประเทศไทยCompetencies of Property Valuers in Thailandปภากร สุวรรณธาดาPabhagorn Suvarnadhadaบัณฑิตวิทยาลัย มหาวิทยาลัยคริสเตียน จังหวัดนครปฐม 73000Graduate School, Christian University of Thailand, Nakhonpathom, 73000, ThailandE-mail: pabhagorn@gmail.com104 JARS 10(2). 20131) Achievement Orientation, 2) Self Management, 3) Property Valuation Ethics, 4) Creative Problem Solving and5) Service and Organizational Awareness. The four components of the functional competency of the propertyvaluers consisted of 1) Property Valuation Supporting Knowledge, 2) Professional Proficiency, 3) ValuationActivity Management and 4) Real Estate Market Perception. The competencies of the property valuers inThailand could be used to develop property valuation industrial and profession, used to increase performanceof the property valuers in organizational and used to be the model to develop the property valuers who wantto certify senior professional valuer in the future.