scholarly journals Predictors of Collateral Learning Transfer in Continuing Vocational Training

2014 ◽  
Vol 1 (1) ◽  
pp. 35-56 ◽  
Author(s):  
Anja-Christina Hinrichs
Keyword(s):  
Latent Variables ◽  
Vocational Training ◽  
Structural Equation ◽  
Learning Transfer ◽  
Field Work ◽  
Work Context ◽  
Equation Modelling ◽  
And Performance ◽  
Continuing Vocational Training ◽  
Skill Shortages

Against the background of demographic change and skill shortages continuing vocational training is of great significance in Germany. However, the training effectiveness is mostly assessed only at the end of a training program or several months after the training. Since in continuing vocational training the two contexts learning field (training) and performance field (work context) act simultaneously, the presented study investigated whether there are already situations in the work context which allow the application of newly acquired knowledge in parallel with the training. The main focus lies in the identification of predictors of learning transfer that takes place alongside the training participation and in the investigation of their causal relationships. Using structural equation modelling five latent variables were identified which have a significant effect on learning transfer parallel to the training the so called collateral learning transfer. These five predictors explain together 62% of the variance of collateral learning transfer (gathered as performance improvement at work).

scholarly journals IMPORTANCE-PERFORMANCE MATRIX ANALYSIS OF KOTA BHARU’S ISLAMIC CITY IMAGE

2020 ◽  
Vol 18 (13) ◽  
Author(s):  
Hasnina Hassan ◽  
Shida Irwana Omar ◽  
Ghazali Ahmad
Keyword(s):  
Religious Identity ◽  
Structural Equation ◽  
Matrix Analysis ◽  
City Image ◽  
Equation Modelling ◽  
Performance Matrix ◽  
Islamic Identity ◽  
State Capital ◽  
And Performance ◽  
International Visitors

In 2005, Kota Bharu as the Kelantan state capital in Malaysia was rebranded from a Cultural City to an Islamic City and projecting its image as an Islamic identity. Limited studies have been undertaken to assess city image from the perspective of visitors. Therefore, this paper aims to evaluate the perception of visitors on the importance and performance of the Islamic city image of Kota Bharu. Data were gathered using a self-administered survey questionnaire among domestic and international visitors in Kota Bharu in 2018. The questionnaire was prepared based on ten categories of Islamic Built Environmental factors, namely; natural environment, social need and human comfort, religious identity, tolerance, layout, elements of Jannah (paradise), intellectual and knowledge, cleanliness, economic system, and safety setting. The data were analysed quantitatively using partial least squares-structural equation modelling (PLS-SEM). The results revealed that visitors considered "Religious Identity" as the most important attribute which reached a satisfactory level, while other factors also needed to be addressed. The findings are expected to contribute to a better understanding of stakeholders in enhancing the image of Islam Bharu for management and marketing purposes.

scholarly journals Integrated model for the stressors, stress, stress-coping behaviour of construction project managers in the UK

2018 ◽  
Vol 11 (3) ◽  
pp. 761-782 ◽  
Author(s):  
Shamil George Naoum ◽  
Carlos Herrero ◽  
Charles Egbu ◽  
Daniel Fong
Keyword(s):  
Construction Industry ◽  
Structural Equation Modelling ◽  
Structural Equation ◽  
Construction Project ◽  
Project Managers ◽  
Stress Coping ◽  
Content Type ◽  
Equation Modelling ◽  
And Performance ◽  
The Impact

Purpose It is axiomatic that construction is a fast-paced and competitive industry, which goes hand in hand with many construction professionals suffering from stress including construction project managers (C-PMs). The role of C-PMs is crucial to achieving project success as they are responsible for planning the project, organising human resources, controlling operations and the budget, and forecasting probable difficulties. The purpose of this paper is to investigate the causal relationships between stressors, stresses, stress-coping behaviours and their impact on the performance of C-PMs. Design/methodology/approach To investigate the relationships between stress and performance among C-PMs, a questionnaire was designed based on the extensive literature, and was sent to 150 C-PMs who had amassed at least five years’ direct working experience in the construction industry. A total of 44 completed questionnaires were returned. Correlation analysis and structural equation modelling were employed to understand the integrated relationships between these factors. Based on the data collected and analysis of the results, an integrated structural equation model of the stresses and performances of C-PMs was developed using AMOS version 22.0. Findings The results of structural equation modelling reveal the following: burnout is the type of stress that has the highest impact on the performance of C-PMs, being detrimental to their interpersonal performance (IPP) and positive for their organisational performance (OP), whereas physiological stress worsens the task performance of C-PMs and objective stress improves their IPP. The most active stressor towards the performance of C-PMs is “workgroup cooperation”, which has an impact on the IPP in a positive way but is detrimental to the OP. Career-developing environment, poor organisational structure and role conflict affect both stress and performance together. Originality/value This study provides a comprehensive investigation into the impact of various types of stress on the performances of C-PMs. The result constitutes a significant step towards the stress management of C-PMs in the dynamic and stressful construction industry.

scholarly journals Effect of socioeconomic and latent variables in vehicle ownership: A case study of Agartala city, India

2017 ◽  
Vol 7 (1.1) ◽  
pp. 472
Author(s):  
Amitabha Acharjee ◽  
Partha Pratim Sarkar ◽  
Joyanta Pal
Keyword(s):  
Public Transportation ◽  
Travel Behavior ◽  
Latent Variables ◽  
Structural Equation ◽  
Car Ownership ◽  
Vehicle Ownership ◽  
Socioeconomic Variables ◽  
Equation Modelling ◽  
Two Wheeler

On the whole, car ownership is regarded as an imperative variable in travel behavior research. Car and motorcycle ownership are increasing rapidly in developing countries leading to an unsustainable developments. Using a data of 584 respondents from the Agartala city randomly collected, a model has been prepared to understand vehicle ownership for both car and motorized two wheeler mode (MTW). Latent variables along with socioeconomic variables such as monthly income, gender, age were used for modeling vehicle ownership using structural equation modelling. Latent variables used in this study, flexibility (Motorized Two wheeler), Negative public transportation perception and comfort (car) were found to be significant in the model. Our result suggests apart from socioeconomic variables, latent variables also explains vehicle ownership model.

scholarly journals Safety Analysis of an Automobile Workshop Using Qualitative Risk Assessment Method and Risk Analysis Through the Structural Equation Modelling

2019 ◽  
Vol 16 (1) ◽  
pp. 25-39
Author(s):  
Ayomide Olawale Akintimehin ◽  
Sunday Ayoola Oke
Keyword(s):  
Risk Factors ◽  
Structural Equation Modelling ◽  
Latent Variables ◽  
Structural Equation ◽  
Factor Loading ◽  
Assessment Method ◽  
Repair Service ◽  
Equation Modelling ◽  
Qualitative Risk Assessment ◽  
The Impact

Abstract Automobile repair service hazards are risk factors for multiple severe accidents, and scientific proof reveals a relationship between repair activity hazards and accidents in the auto-mechanic workshop. In this research, the investigators approximated the impact of risk factors for automobile repair activities, using novel parameters, for severity of hazards and influences on subjects, and based on literature. Next, insights into the relationship between latent variables which are appraised by manifest variables using the structural equation modelling were pursued. The respondents answered questionnaires on probability of hazard occurrence, severity and some identified measured variables. The authors appraised 44 out of the 80 and 98 out of 99 distributed questionnaires for the first and second modules, respectively. The risk levels ranged between low and medium for the medium scale establishment due to the nature of work done in the automobile repair centre which exposes the workers to the level of risk. For the second module involving the use of structural equation modelling, the factor loading was the least for safety behaviours (0.06) and highest for machine efficiency (0.90). Of the fifteen hypotheses formulated six were accepted. It is concluded that the safety behaviour of workers depends safety on the workers in the firm irrespective of other factors such as management commitment to safety, environmental contributions and safety, communications. Understanding the impact of risk factors for automobile repair activities in workers is necessary in elevating awareness absent these parameters and to eliminate accidents.

scholarly journals Structural equation modelling the relationship between anti-fungal prophylaxis and Pseudomonas bacteremia in ICU patients.

2021 ◽  
Author(s):  
James Hurley
Keyword(s):  
Latent Variables ◽  
Structural Equation ◽  
Bacterial Infections ◽  
Structural Equation Models ◽  
Model Fit ◽  
Published Data ◽  
Icu Patients ◽  
Equation Modelling ◽  
Anti Fungal ◽  
The Relationship

Abstract Purpose Animal models implicate candida colonization facilitating invasive bacterial infections. The clinical relevance of this microbial interaction remains undefined. Observations from studies of anti-septic, antibiotic, anti-fungal, and non-decontamination-based interventions to prevent ICU acquired infection collectively serve as a natural experiment. Methods Three candidate generalized structural equation models (GSEM), with Candida and Pseudomonas colonization as latent variables, were confronted with blood culture and respiratory tract isolate data derived from 460 groups from 279 studies including studies of combined antibiotic and antifungal exposures within selective digestive decontamination (SDD) interventions. Results Introducing an interaction term between Candida colonization and Pseudomonas colonization substantially improved GSEM model fit. Model derived coefficients for singular exposure to anti-septic agents (-1.23; -2.1 to -0.32), amphotericin (-1.78; -2.79 to -0.78) and topical antibiotic prophylaxis (TAP; +1.02; +0.11 to + 1.93) versus Candida colonization were similar in magnitude but contrary in direction. By contrast, the model-derived coefficients for singular exposure to TAP, as with anti-septic agents, versus Pseudomonas colonization were weaker or non-significant. Singular exposure to amphotericin would be predicted to more than halve candidemia and Pseudomonas bacteremia incidences versus literature benchmarks for absolute differences of approximately one percentage point or less. Conclusion GSEM modelling of published data supports the postulated interaction between Candida and Pseudomonas colonization towards promoting bacteremia among ICU patients. The model implicates that anti-fungal agents have greater impact in preventing bacteremia versus TAP, which has no impact.

Applications of structural equation modelling in clinical and health psychology research

2015 ◽  
Author(s):  
Rick H. Hoyle
Keyword(s):  
Health Psychology ◽  
Measurement Invariance ◽  
Structural Equation Modelling ◽  
Latent Variables ◽  
Structural Equation ◽  
Structural Models ◽  
Psychology Research ◽  
Measurement Models ◽  
Causal Modelling ◽  
Equation Modelling

This chapter discusses applications of structural equation modelling (SEM, or causal modelling) in clinical and health psychology research. It outlines path diagrams, measurement models, structural models, the inclusion of latent variables, validity (factorial and construct), and measurement invariance. Structural hypotheses are also explored, along with caveats for the use of SEM.

Analysing the determinants of higher education systems’ performance–a structural equation modelling approach

2019 ◽  
Vol 46 (6) ◽  
pp. 834-852 ◽  
Author(s):  
Tommaso Agasisti ◽  
Alice Bertoletti
Keyword(s):  
Higher Education ◽  
Structural Equation Modelling ◽  
Structural Equation ◽  
Research Performance ◽  
Empirical Work ◽  
Education Systems ◽  
Data Set ◽  
Higher Education Systems ◽  
Equation Modelling ◽  
And Performance

Abstract This article deals with the relationships between the performance of higher education systems (HESs) and their potential determinants. The research employed data relating to twenty-nine European countries, within a time span of 15 years. The empirical work is based on a conceptual framework that has been tested through Structural Equation Modelling. The data was selected from a novel data set that we have built by gathering HES indicators from the major international databases. Among the more noteworthy results, we found no statistically significant correlation between graduation rates and research performance. Additionally, we found a moderate effect of public expenditure on HES performance. The article addresses the issue of the lack of a comprehensive set of systemic indicators for HES performance, providing a holistic picture of the relationship between HES determinants and performance, which, in turn, could help to provide an adequate evaluation of the policies in the field of higher education.

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