scholarly journals Cross-Cultural Applicability of Organizational Stressor Indicator for Sport Performers Questionnaire in Ghana Using Structural Equation Modeling Approach

2021 ◽  
Vol 12 ◽  
Author(s):  
Medina Srem-Sai ◽  
Frank Quansah ◽  
James Boadu Frimpong ◽  
John Elvis Hagan ◽  
Thomas Schack
Keyword(s):  
Structural Equation ◽  
Discriminant Validity ◽  
Control Strategies ◽  
Information Criterion ◽  
Original Model ◽  
Cross Cultural ◽  
Equation Modeling ◽  
Fit Indices ◽  
Validity And Reliability ◽  
Model Fit Indices

The purpose of this study was to examine the cross-cultural validity of the Organizational Stressor Indicator for Sport Performers (OSI-SP) scale by investigating its psychometric properties with Ghanaian footballers. The study particularly sought to assess in the Ghanaian context, 1, the convergence validity and reliability of the OSI-SP scale, 2, the discriminant validity of the OSI-SP scale to understand the applicability of its factor structure, and 3, whether the OSI-SP hypothesized model fits the data collected within the study context. The intensity aspect of the OSI-SP questionnaire was administered to 424 Ghana Premier League (GPL) male footballers who took part in the 2020/2021 season. Quality control strategies were put in place to ensure consistency across interpreters and as well improve the validity of the data. The results from a multi-factor first-order confirmatory factor analysis showed some level of convergence validity of the OSI-SP scale in the Ghanaian context using football players. Out of the 23 items on the original scale, 20 met the factor loadings criterion. In assessing the discriminant validity of the OSI-SP scale using Heterotrait-monotrait (HTMT), 50% of the correlation ratios met the criterion for the original 23-item instrument. Comparing the new model (with the 20-items) with the original model (with 23-items) using the Akaike Information Criterion (AIC) value, the model fit indices for the modified model (20-items) appeared better than the original model with 23-items. Generally, there was minimal support for the applicability of the OSI-SP instrument across the sample of Ghanaian footballers. The implications of these findings are discussed in detail.

scholarly journals Managerial Leadership and Performance as Fully Mediated by Transformational Leadership through Structural Equation Modeling

2021 ◽  
Vol 04 (06) ◽  
Author(s):  
Arthur Ong Buenavista ◽  
Keyword(s):  
Transformational Leadership ◽  
Structural Equation Modeling ◽  
Structural Equation ◽  
Discriminant Validity ◽  
School Administrators ◽  
Information Criterion ◽  
Equation Modeling ◽  
Managerial Leadership ◽  
Equivalent Models ◽  
And Performance

This study investigated the relationships among managerial leadership, transformational leadership, and performance of school administrators of Northern Iloilo Polytechnic State College (NIPSC) through Structural Equation Modeling (SEM). Covariance-Based SEM (CB-SEM), Confirmatory Factor Analysis (CFA) with its default Maximum Likelihood Estimation (MLE) were used to test the hypothesized model that managerial leadership covary transformational leadership which were both related to the school administrators’ performance. Results revealed that of the eight alternative models, two equivalent models, one model generates every probability distribution that can be generated by another model, Model B3 and Model D3 were generated, got the smallest Alkaike Information Criterion (AIC) and Bayes Information Criterion (BIC) indicating that both models had relatively better fit. Model B3 and Model D3 have the same degrees of freedom but feature a different configuration of paths among the same variables. However, of the two equivalent models, model B3 was rejected due to discriminant validity concerns while model D3 passed both measurement model and structural model, model D3 was confirmed and retained. As contribution to the fields of education, management and leadership, the researcher confirmed and recommends, through CB-SEM using CFA with its default MLE, the Managerial Leadership and Performance as fully mediated by Transformational Leadership Model.

Consumers Attitude towards Ads on Social Media

2019 ◽  
Vol 3 (ii) ◽  
Author(s):  
Biraj Ghimire ◽  
Bharat Singh Thapa ◽  
Suman Dahal
Keyword(s):  
Social Media ◽  
Factor Analysis ◽  
Structural Equation ◽  
Discriminant Validity ◽  
Structural Model ◽  
Principal Component ◽  
Equation Modeling ◽  
Purchase Decision ◽  
Intention To Use ◽  
Validity And Reliability

The purpose of the study was to investigate influence of advertisement traits on attitude towards Ads on social media and intention to use them for purchase decision. The study used Structural Equation Modeling (SEM) to examine the relationship. The validity and reliability of the constructs were evaluated using exploratory factor analysis (EFA). The EFA was conducted using Principal Component Analysis and Varimax Rotation Method. 7 factors explained 67% of variation. The result also showed sampling adequacy with Kaiser-Meyer-Olin (KMO) test and Bartlett’s Test of Sphericity indicated that sample of 255 was appropriate for factor analysis. The result provided a justifiable range of construct reliability and discriminant validity. Consequently, structural model was developed. Confirmatory Factor Analysis was conducted to test the goodness of the model. The result indicated that advertisement contents on social media with informative and entertaining were more likely to be used by the consumers. Similarly, favorable attitude towards Ads on social media had a positive intention to use the message for purchase decision. Key words: Marketing, Attitude, Ads on social media, Consumers, Factor analysis, Message

Toward a Causally Informative Fit Index of Longitudinal Models: A Within-Study Design Approach

2021 ◽  
Author(s):  
Sirui Wan ◽  
Timothy R. Brick ◽  
Daniela Alvarez-Vargas ◽  
Drew H Bailey
Keyword(s):  
Study Design ◽  
Structural Equation ◽  
Design Approach ◽  
Equation Modeling ◽  
Fit Indices ◽  
Longitudinal Models ◽  
Math Interventions ◽  
Model Fit Indices ◽  
Fit Index

In structural equation modeling, plausible competing theories can imply similar or equivalent covariance matrices and thus show similar or identical model fit indices, despite making very different causal predictions. We propose a method for selecting among longitudinal models on the basis of causal information. We use a within-study design approach and present an index of causal fit for choosing among models on the basis of their fit with causally informative estimates, in cases in which research designs allow for strong causal estimates. We test for the usefulness and validity of the approach by applying it to data from three randomized controlled trials of early math interventions with longitudinal follow-up assessments. We find that, across datasets, some models consistently outperform other models at forecasting later experimental impacts, traditional fit indices are not strongly related to our index of causal fit, and models show consistent patterns of similarity and discrepancy between statistical fit and causal fit. A simulation study finds that when assumptions are met, the index of causal fit can recover the generating model at rates higher than those of statistical fit indices, and is less redundant with statistical fit indices than they are with each other. Results support the validity of our proposed approach and suggest that it can be useful for choosing among models.

scholarly journals Validity and Reliability Testing on Train Driver Performance Model Using a PLS Approach

2013 ◽  
Vol 10 ◽  
pp. 361-366 ◽  
Author(s):  
Jalil Azlis-Sani ◽  
Siti Zawiah Md. Dawal ◽  
Zakuan Norhayati Mohmad
Keyword(s):  
Convergent Validity ◽  
Structural Equation ◽  
Discriminant Validity ◽  
Performance Model ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Validity And Reliability ◽  
Driver Performance ◽  
Train Driver

The purpose of this paper is to explain the assessment of validity and reliability of measured items used in survey research. The structural equation modeling techniques and Partial Least Square (PLS) will be adopted to assess the goodness of measures of constructs used in a model to examine the performance of the Malaysian train drivers. The measurement process involves assessment of construct validity of the items and followed by convergent validity. Then, the composite reliability was assessed with internal consistency measure of Cronbachs alpha. Lastly, discriminant validity was tested to assess the validity of the measurement. The constructs are not supposed to measure other constructs or overlapping constructs.

scholarly journals Customer value and customer brand engagement: Their effects on brand loyalty in automobile business

2021 ◽  
Vol 17 (2) ◽  
pp. 90-101
Author(s):  
Sid Terason ◽  
Shixin Zhao ◽  
Pirayut Pattanayanon
Keyword(s):  
Brand Loyalty ◽  
Customer Value ◽  
Structural Equation ◽  
Sampling Technique ◽  
Three Dimensions ◽  
Equation Modeling ◽  
Fit Indices ◽  
Brand Engagement ◽  
Model Fit Indices ◽  
Relevant Variables

The study investigates the extent to which customer value affected brand loyalty among mid-sized automobile customers in Thailand. It`s focused on assessing whether customer brand engagement acted as an intervening variable in the relationship between customer value and brand loyalty. A questionnaire was distributed to a random sample of 380 current users of medium-sized passenger automobiles in Thailand; these participants were drawn from the list of automobile customers using a multistage sampling technique. The dealership customers were asked to complete an electronic survey using their cell phones. Structural equation modeling was applied to prove the theoretical model. All the model fit indices revealed that the model was reasonably consistent with the data. Results validated customer brand engagement composed of three dimensions using confirmatory factor analysis and its role as a mediator. The findings also provided novel insight into the interplay of the relevant variables and could be used as a guideline for managing automobile customers and promoting automobile marketing in the country.

scholarly journals The influence of potential outcomes of corporate social responsibility engagement factors on SME competitiveness

2014 ◽  
Vol 45 (4) ◽  
pp. 33-43 ◽  
Author(s):  
E. Venter ◽  
P. Turyakira ◽  
E. E. Smith
Keyword(s):  
Customer Loyalty ◽  
Employee Satisfaction ◽  
Structural Equation ◽  
Discriminant Validity ◽  
Sampling Technique ◽  
Primary Objective ◽  
Potential Outcomes ◽  
Equation Modeling ◽  
Validity And Reliability ◽  
Engagement Factors

While SMEs are globally recognised for their importance in the social and economic development of many economies, their survival and competitiveness has remained a cause for concern. More than half of SMEs in Uganda fail during their first year. Analytical and empirical research on appropriate strategies for SMEs' competitiveness in Uganda is limited. The potential outcomes of CSR engagement such as employee satisfaction, business reputation, and customer loyalty have been found to be positively related to the competitiveness of SMEs. The primary objective of this article is to identify and empirically test the factors that influence the competitiveness of SMEs in Uganda. A structured selfadministered questionnaire was distributed to 750 potential SME respondents. The respondents were identified using purposive sampling technique, and the data were collected from 3 83 usable questionnaires. An exploratory factor analysis was conducted, and Cronbach-alpha coefficients calculated to determine the discriminant validity and reliability of the measuring instrument. Correlations were analysed using Structural Equation Modeling. The empirical results of this study indicate that Employee satisfaction, Business reputation, Customer loyalty and Stakeholder trust significantly impact the competitiveness of SMEs.

Math anxiety in Thai early adolescents: a cognitive-behavioral perspective

2017 ◽  
Vol 31 (5) ◽  
Author(s):  
Tawatchai Wangsiriwech ◽  
Kullaya Pisitsungkagarn ◽  
Somboon Jarukasemthawee
Keyword(s):  
Therapeutic Intervention ◽  
Structural Equation ◽  
Math Anxiety ◽  
Equation Modeling ◽  
Fit Indices ◽  
Public And Private ◽  
Proposed Model ◽  
High Prevalence ◽  
Model Fit Indices ◽  
Math Beliefs

Abstract With its high prevalence and debilitating impact on students, math anxiety is well studied within the educational context. However, the problem has yet to be examined from the psychological perspective, which is necessary in order to produce a more comprehensive perspective and to pave the way for therapeutic intervention. The current study, therefore, was conducted to identify cognitive and behavioral factors relevant to the occurrence and maintenance of math anxiety. Data were collected from 300 grade 9 students (150 females and 150 males) from public and private schools in Bangkok, Thailand. Participants responded to the measures of math anxiety, negative math beliefs, negative math appraisals and math avoidance. Structural equation modeling was conducted. Model fit indices obtained consistently suggested the good fitness of the model to the data [e.g. χ2/df = 0.42, root mean square error of approximation (RMSEA) = 0.00]. Negative math beliefs, negative math appraisals and math avoidance had a significant direct effect on math anxiety. Additionally, the indirect effect of negative math appraisal was observed between negative math beliefs and math anxiety. In summary, the proposed model accounted for 84.5% of the variance in the anxiety. The findings are discussed with particular focus on implications for therapeutic intervention for math anxiety.

EXAMINING THE PSYCHOMETRIC PROPERTIES OF A MALAYSIAN RELEVANCE OF SCIENCE EDUCATION (MROSE) QUESTIONNAIRE USING PARTIAL LEAST SQUARES STRUCTURAL EQUATION MODELING (PLS-SEM)

2019 ◽  
Author(s):  
Lay Yoon Fah ◽  
◽  
Ng Khar Thoe ◽  
Khoo Chwee Hoon ◽  
Chan Sane Hwui ◽  
...  
Keyword(s):  
Science Education ◽  
Structural Equation Modeling ◽  
Least Squares ◽  
Partial Least Squares ◽  
Secondary Students ◽  
Convergent Validity ◽  
Structural Equation ◽  
Discriminant Validity ◽  
Equation Modeling ◽  
Validity And Reliability

This research is aimed to validate an instrument, the Malaysian version of ROSE or MROSE to gauge Malaysian secondary students’ interests, attitudes, values, and priorities in S&T-related issues. Partial Least Squares-Structural Equation Modeling approach was used to evaluate the validity and reliability of the instrument. The internal consistency reliability (composite reliability and Cronbach’s Alpha coefficient), convergent validity (Average Variance Extracted), and discriminant validity (cross loadings, Fornell-Larcker criterion, and Heterotrait-Monotrait ratio) for each individual item of the instrument were being assessed. Keywords: affective factor, PLS-SEM, science and technology, relevance of science education (ROSE).

scholarly journals Assessing the structure of the Five Factor Model of Personality (IPIP-NEO-120) in the public domain

2019 ◽  
Vol 15 (2) ◽  
pp. 260-275
Author(s):  
Petri J. Kajonius ◽  
John A. Johnson
Keyword(s):  
Personality Assessment ◽  
Structural Equation ◽  
Factor Model ◽  
Five Factor Model ◽  
Psychological Research ◽  
Public Domain ◽  
Equation Modeling ◽  
Fit Indices ◽  
Personality Inventories ◽  
Model Fit Indices

Assessment of individual differences in personality traits is arguably one of the hallmarks of psychological research. Testing the structural validity of trait measurements is paramount in this endeavor. In the current study, we investigated 30 facet traits in one of the accessible and comprehensive public-domain Five Factor Model (FFM) personality inventories, IPIP-NEO-120 (Johnson, 2014), using one of the largest US samples to date (N = 320,128). We present structural loadings for all trait facets organized into respective FFM-trait domain (Neuroticism, Extraversion, Openness, Agreeableness, and Conscientiousness). Both hierarchical second-order and bi-factor models showed tolerable model fit indices, using confirmatory factor analysis in a structural equation modeling (SEM) framework. Some facet traits were substantially more representative than others for their respective trait domain, which facilitate further discussions on FFM-construct content. We conclude that IPIP-NEO is sufficiently structurally robust for future use, for the benefit of research and practice in personality assessment.

scholarly journals “Structural Equation Modeling on Evaluate Validity and Reliability of the Instrument in Soft Skills Training to Enhance Employability Competency”

2019 ◽  
Vol 8 (4) ◽  
pp. 12515-12521
Keyword(s):  
Structural Equation Modeling ◽  
Internal Consistency ◽  
Convergent Validity ◽  
Structural Equation ◽  
Discriminant Validity ◽  
Soft Skills ◽  
Skills Training ◽  
Equation Modeling ◽  
Validity And Reliability ◽  
The Impact

A survey based design in research is followed due to numeric and accurate description of paradigms covering attitudes and opinions of the respondents. The purpose of survey research is to gather data from groups of people by utilizing a questionnaire. A questionnaire was designed for B school students titled “Perception among B School Graduates about the importance of Soft Skills Training in enhancing Employability Competency”. It was to analyze the impact of soft skills training on the employability competency of B-School graduates. Structural Equation Modeling (SEM) was used to establish convergent validity, discriminant validity and internal consistency (reliability) of the above questionnaire before conducting the survey. Convergent validity ideally connotes to the measure of constructs to be theoretically related and actually is related. Discriminant validity on the other hand denotes the distance between items, and that they should not be too closely related to one another. Convergent validity is proven when constructs that are similar respond to one another, while Discriminant validity is said to exist if we can sufficiently differentiate two of the dissimilar constructs. Reliability refers to the confirmation of the instrument to be free from errors. Structural Equation Modeling was used to establish internal consistency, which indicates how well items score when it comes to the test of consistency against one another. The main purpose of this study was to evaluate and test the validity and reliability of the research instrument used to analyze the impact of soft skills training on the employability competency of B-School graduates

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