Using Structural Equations to Validate a New, Integrated Model of Web-Based Learning

2011 ◽  
pp. 467-482
Author(s):  
Arshad Ahmad
Keyword(s):  
Structural Equation ◽  
Learning Model ◽  
Structural Equations ◽  
Model Fit ◽  
Practice Effects ◽  
Equation Modeling ◽  
Integrated Learning ◽  
Web Based ◽  
Theoretical Concepts ◽  
Web Based Learning

This chapter introduces a descriptive model of Web-based learning called The Integrated Learning Model (ILM). The ILM is a data-driven idea, conceptualized from three principle components “knowledge acquisition,” “practice effects,” and “assessment,” and refined with exploratory factor analysis. The Integrated Learning Model (ILM) has at its heart three powerful theoretical concepts that currently enjoy widespread recognition in the educational literature. Structural Equation Modeling was then applied to determine the model fit, and parameter loadings to explain the learning construct.

scholarly journals Estimating and interpreting latent variable interactions

2014 ◽  
Vol 39 (1) ◽  
pp. 87-96 ◽  
Author(s):  
Julie Maslowsky ◽  
Justin Jager ◽  
Douglas Hemken
Keyword(s):  
Latent Variables ◽  
Latent Variable ◽  
Structural Equation ◽  
Model Fitting ◽  
Psychological Research ◽  
Structural Equations ◽  
Model Fit ◽  
Equation Modeling ◽  
Modeling Framework ◽  
Quadratic Effects

Latent variables are common in psychological research. Research questions involving the interaction of two variables are likewise quite common. Methods for estimating and interpreting interactions between latent variables within a structural equation modeling framework have recently become available. The latent moderated structural equations (LMS) method is one that is built into Mplus software. The potential utility of this method is limited by the fact that the models do not produce traditional model fit indices, standardized coefficients, or effect sizes for the latent interaction, which renders model fitting and interpretation of the latent variable interaction difficult. This article compiles state-of-the-science techniques for assessing LMS model fit, obtaining standardized coefficients, and determining the size of the latent interaction effect in order to create a tutorial for new users of LMS models. The recommended sequence of model estimation and interpretation is demonstrated via a substantive example and a Monte Carlo simulation. Finally, extensions of this method are discussed, such as estimating quadratic effects of latent factors and interactions between latent slope and intercept factors, which hold significant potential for testing and advancing developmental theories.

scholarly journals Examining preservice teachers' perceived knowledge of TPACK and cyberwellness through structural equation modeling

2012 ◽  
Vol 28 (6) ◽  
Author(s):  
Ching Sing Chai ◽  
Joyce Hwee Ling Koh ◽  
Hsin Ning Jessie Ho ◽  
Chin-Chung Tsai
Keyword(s):  
Preservice Teachers ◽  
Structural Equation ◽  
Equation Model ◽  
Equation Modeling ◽  
Web Based ◽  
Pedagogical Content ◽  
Teachers Perceptions ◽  
Web Based Learning ◽  
Before And After ◽  
Information And Communication

<span>This study examined outcomes from an information and communication technology (ICT) course designed on the basis of the meaningful learning framework and general cyberwellness issues. It also examined the relationships among Singaporean preservice teachers' perceptions of the constructs pertaining to technological pedagogical content knowledge (TPACK), and their perceived ability to integrate cyberwellness knowledge when designing web-related learning. Two questionnaires were administered to 668 and 628 preservice teachers before and after the ICT course to elicit the relationships. Five TPACK knowledge constructs (PK, CK, Web 2.0-related TK, TPK, TPACK) and the teachers' cyberwellness knowledge were identified from factor analysis results. The pre-post course surveys indicate that the preservice teachers perceived strong gain in 5 out 6 constructs measured. Additionally, the structural equation model analysis revealed that cyberwellness knowledge contributes significantly to TPK and TPACK, based on the preservice teachers' perception. As such, the study argues that the preservice teachers' confidence to integrate their cyberwellness knowledge into their teaching may play an important role in influencing how they plan and design web-based learning. Cyberwellness knowledge may be an important knowledge component to foster when considering the future development of teachers' TPACK for web-based learning.</span>

A Comparison of Reliability Estimation Based on Confirmatory Factor Analysis and Exploratory Structural Equation Models

2021 ◽  
pp. 001316442110089
Author(s):  
Yuanshu Fu ◽  
Zhonglin Wen ◽  
Yang Wang
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Structural Equation ◽  
Reliability Estimation ◽  
Model Fit ◽  
Equation Modeling ◽  
Factor Loadings ◽  
Reliability Estimates ◽  
Confirmatory Factor ◽  
Composite Reliability

Composite reliability, or coefficient omega, can be estimated using structural equation modeling. Composite reliability is usually estimated under the basic independent clusters model of confirmatory factor analysis (ICM-CFA). However, due to the existence of cross-loadings, the model fit of the exploratory structural equation model (ESEM) is often found to be substantially better than that of ICM-CFA. The present study first illustrated the method used to estimate composite reliability under ESEM and then compared the difference between ESEM and ICM-CFA in terms of composite reliability estimation under various indicators per factor, target factor loadings, cross-loadings, and sample sizes. The results showed no apparent difference in using ESEM or ICM-CFA for estimating composite reliability, and the rotation type did not affect the composite reliability estimates generated by ESEM. An empirical example was given as further proof of the results of the simulation studies. Based on the present study, we suggest that if the model fit of ESEM (regardless of the utilized rotation criteria) is acceptable but that of ICM-CFA is not, the composite reliability estimates based on the above two models should be similar. If the target factor loadings are relatively small, researchers should increase the number of indicators per factor or increase the sample size.

Fuel to the fire: The escalating interplay of attachment and maltreatment in the transgenerational transmission of psychopathology in families living in refugee camps

2020 ◽  
pp. 1-14
Author(s):  
Florian Scharpf ◽  
Getrude Mkinga ◽  
Frank Neuner ◽  
Maregesi Machumu ◽  
Tobias Hecker
Keyword(s):  
Mental Health ◽  
Structural Equation ◽  
Child Psychopathology ◽  
Child Outcomes ◽  
Parental Psychopathology ◽  
Insecure Attachment ◽  
Model Fit ◽  
Equation Modeling ◽  
Refugee Camps ◽  
Attachment Representations

Abstract Maltreatment by parents can be conceptualized as pathogenic escalations of a disturbed parent–child relationship that have devastating consequences for children's development and mental health. Although parental psychopathology has been shown to be a risk factor both for maltreatment and insecure attachment representations, these factors` joint contribution to child psychopathology has not been investigated. In a sample of Burundian refugee families living in refugee camps in Western Tanzania, the associations between attachment representations, maltreatment, and psychopathology were examined by conducting structured interviews with 226 children aged 7 to 15 and both their parents. Structural equation modeling revealed that children's insecure attachment representations and maltreatment by mothers fully mediated the relation between maternal and child psychopathology [model fit: comparative fit index (CFI) = 0.96; root mean square error of approximation (RMSEA) = 0.05]. A direct association between paternal and child psychopathology was observed (model fit: CFI = 0.96; RMSEA = 0.05). The findings suggest a vicious cycle, wherein an insecure attachment to a mother suffering from psychopathology may be linked to children's risk to be maltreated, which may reinforce insecure representations and perpetuate the pathogenic relational experience. Interventions targeting the attachment relationship and parental mental health may prevent negative child outcomes.

scholarly journals Critical factors that impact purchase online of new telecom convergent services in the Mexican market

2017 ◽  
Vol 7 (14) ◽  
Author(s):  
Rolando Zubirán Shetler ◽  
Jesús Fabian López Pérez
Keyword(s):  
Electronic Commerce ◽  
Technology Acceptance ◽  
Latent Variables ◽  
Diffusion Of Innovations ◽  
Structural Equation ◽  
Empirical Studies ◽  
The United States ◽  
Structural Equations ◽  
Equation Modeling ◽  
Critical Factors

Key words: Diffusion of innovations, electronic commerce, structural equations, Smart-PLS, technology acceptanceAbstract. The following article analyzes the principal factors that have an impact in the adoption of new telecom convergent services, through electronic commerce, that have been explored and studied primarily in developed markets such as the United States and that have been deemed as critical factors in the development and growth of online electronic transactions. Specifically, factors and latent variables of this study derive from the models of Technology Acceptance (Davis, 1989) and Diffusion of Innovations (Rogers, 2003). A summary of past empirical studies is provided deriving from the aforementioned theoretical models followed by results of an exploratory field study comprising of 253 valid observations randomly selected from within the population of urban internet users in Mexico. The methodology used to determine the causal relationship between variables (Betas) was factor analysis (Principal Components) and structural equation modeling, specifically Smart-PLS. The study determined that perceived utility and trust variables are statistically relevant and significant in determining purchase online of new telecom convergent services and the development of electronic commerce in the Mexican Market.Palabras clave: Aceptación de la tecnología, comercio electrónico, difusión de las innovaciones, ecuaciones estructurales, Smart-PLS.Resumen. Este artículo analiza los principales factores que influyen en la adopción de los nuevos servicios convergentes de telecomunicaciones, a traves del comercio electrónico, que han sido explorados y estudiados principalmente en mercados desarrollados como el de Estados Unidos y que han sido confirmados como factores críticos en el desarrollo y el crecimiento de las transacciones electrónicas en linea. Específicamente, los factores y variables latentes en este estudio se derivan de los modelos de Aceptación de la Tecnología (Davis, 1989) y la Difusión de las Innovaciones (Rogers, 2003). Se presenta un resumen de los antecedentes de estudios empíricos derivados de los mencionados modelos teóricos, seguido de los resultados de un estudio exploratorio de campo que comprende 253 observaciones válidas seleccionadas en forma aleatoria dentro de la población de usuarios urbanos de Internet en México. La metodología utilizada para determinar las relaciones causales entre las variables (Betas) fue análisis factorial (Componentes Principales) y el modelo de ecuaciones estructurales, específicamente Smart-PLS. El estudio determina que las variables percepción de utilidad y confianza son estadísticamente relevantes y significativas en la determinación de compra en línea de nuevos servicios convergentes de telecomunicaciones y en el desarrollo del comercio electrónico en el Mercado Mexicano.

scholarly journals Body Mass Index Moderates Brain Dynamics and Executive Function: A Structural Equation Modeling Approach

2021 ◽  
Vol 2021 (1) ◽  
Author(s):  
Lauren Kupis ◽  
Zachary T. Goodman ◽  
Salome Kornfeld ◽  
Celia Romero ◽  
Bryce Dirks ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Executive Function ◽  
Body Mass ◽  
Structural Equation ◽  
Model Fit ◽  
Equation Modeling ◽  
Brain Dynamics ◽  
Latent Factors ◽  
The Impact ◽  
The Relationship

Obesity is associated with negative physical and mental health outcomes. Being overweight/obese is also associated with executive functioning impairments and structural changes in the brain. However, the impact of body mass index (BMI) on the relationship between brain dynamics and executive function (EF) is unknown. The goal of the study was to assess the modulatory effects of BMI on brain dynamics and EF. A large sample of publicly available neuroimaging and neuropsychological assessment data collected from 253 adults (18–45 years; mean BMI 26.95 kg/m2 ± 5.90 SD) from the Nathan Kline Institute (NKI) were included (http://fcon_1000.projects.nitrc.org/indi/enhanced/). Participants underwent resting-state functional MRI and completed the Delis-Kaplan Executive Function System (D-KEFS) test battery (1). Time series were extracted from 400 brain nodes and used in a co-activation pattern (CAP) analysis. Dynamic CAP metrics including dwell time (DT), frequency of occurrence, and transitions were computed. Multiple measurement models were compared based on model fit with indicators from the D-KEFS assigned a priori (shifting, inhibition, and fluency). Multiple structural equation models were computed with interactions between BMI and the dynamic CAP metrics predicting the three latent factors of shifting, inhibition, and fluency while controlling for age, sex, and head motion. Models were assessed for the main effects of BMI and CAP metrics predicting the latent factors. A three-factor model (shifting, inhibition, and fluency) resulted in the best model fit. Significant interactions were present between BMI and CAP 2 (lateral frontoparietal (L-FPN), medial frontoparietal (M-FPN), and limbic nodes) and CAP 5 (dorsal frontoparietal (D-FPN), midcingulo-insular (M-CIN), somatosensory motor, and visual network nodes) DTs associated with shifting. A higher BMI was associated with a positive relationship between CAP DTs and shifting. Conversely, in average and low BMI participants, a negative relationship was seen between CAP DTs and shifting. Our findings indicate that BMI moderates the relationship between brain dynamics of networks important for cognitive control and shifting, an index of cognitive flexibility. Furthermore, higher BMI is linked with altered brain dynamic patterns associated with shifting.

scholarly journals Analisis Faktor-Faktor Yang Mempengaruhi Kesiapan Kerja Pada Siswa SMK Negeri 1 Sinjai

2018 ◽  
Vol 6 (2) ◽  
pp. 105-115
Author(s):  
Muhammad Ihsan
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Model Fit ◽  
Equation Modeling

Tujuan penelitian ini adalah: 1) Untuk mengetahui bagaimana hasil dari faktor-faktor yang mempengaruhi kesiapan kerja siswa SMK Negeri 1 Sinjai, 2) Untuk mengetahui hasil presentasi  dari analisis faktor-faktor yang mempengaruhi kesiapan kerja pada siswa SMK Negeri 1 Sinjai, 3) Untuk mengetahui faktor-faktor apa sajakah yang mempengaruhi penerimaan kesiapan kerja siswa SMK Negeri 1 Sinjai. Penelitian ini menggunakan metode deskriptif eksploratif. Populasi dalam penelitian ini adalah seluruh siswa kelas 3 SMK Negeri 1 Sinjai sejumlah 341 siswa dan sampel sebanyak 200 siswa. Analisis data dilakukan dengan pendekatan Structural Equation Modeling (SEM), yaitu SEM berbasis covariance. Berdasarkan hasil dari analisis data yang dilakukan, diperoleh kesimpulan bahwa: 1) Pengujian variabel-variabel pada model I-E-O, yang berpengaruh pada kesiapan kerja siswa SMK Negeri 1 Sinjai, dengan menggunakan pendekatan SEM, disimpulkan model fit dengan data yang ada. 2) Faktor kemampuan memiliki nilai koefisien sebesar 5,537437. Faktor kemampuan merupakan faktor terkuat yang mempengaruhi kesiapan kerja pada siswa SMK Negeri 1 Sinjai. Faktor ini terdiri atas prestasi belajar, tingkat intelegensi, pengalaman praktek, kedisiplinan, ekspektansi masuk dunia kerja, bakat. 3) Faktor-faktor yang mempengaruhi kesiapan kerja siswa SMK Negeri 1 Sinjai, dipengaruhi oleh faktor kemampuan, faktor akademis, faktor prilaku dan potensi diri, faktor bawaan/warisan.

scholarly journals Complexity and the triple bottom line: an information-processing perspective

2017 ◽  
Vol 37 (9) ◽  
pp. 1142-1163 ◽  
Author(s):  
Frank Wiengarten ◽  
Muhammad Usman Ahmed ◽  
Annachiara Longoni ◽  
Mark Pagell ◽  
Brian Fynes
Keyword(s):  
Information Processing ◽  
Financial Performance ◽  
Structural Equation ◽  
Negative Impact ◽  
Triple Bottom Line ◽  
Structural Equations ◽  
Equation Modeling ◽  
Bottom Line ◽  
Content Type ◽  
The Impact

Purpose The purpose of this paper is to empirically investigate the impact of complexity on the triple bottom line by applying information-processing theory. Specifically, the paper assesses the impact of internal manufacturing complexity on environmental, social, and financial performance. Furthermore, the paper assesses the moderating role of connectivity and shared schema in reducing the potential negative impact of complexity on performance. Design/methodology/approach Multi-country survey data collected through the Global Manufacturing Research Group were utilized to test the hypotheses. The authors used structural equation modeling to test the measurement and initial structural model. Furthermore, to test the proposed moderating hypotheses, the authors applied the latent moderated structural equations approach. Findings The results indicate that while complexity has a negative impact on environmental and social performance, it does not significantly affect financial performance. Furthermore, this negative impact can be reduced, to some extent, through connectivity; however, shared schema does not significantly impact on the complexity-performance relationship. Originality/value This study presents a comprehensive analysis of the impact of complexity on sustainability. Furthermore, it provides managerial applications as it proposes specific tools to deal with the potential negative influences of complexity.

How can hotel smartphone apps enhance hotel guest experiences? An integrated model of experiential value

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Hyeongmin Kim ◽  
Chang Huh ◽  
Chanho Song ◽  
Myong Jae Lee
Keyword(s):  
Structural Equation ◽  
Integrated Model ◽  
Equation Modeling ◽  
Extensive Literature ◽  
Communication Tool ◽  
Time Saving ◽  
Web Based ◽  
Content Type ◽  
Affective Evaluation ◽  
Experiential Value

Purpose The purpose of this study was to investigate relationships among the experiential value of hotel apps, the cognitive and affective evaluation of hotel apps users, hotel apps users’ satisfaction and their endorsement for the hotel apps. Specifically, this study examined the relationships that enhance hotel guests’ experiences through hotel apps. Design/methodology/approach The measurement items were developed through extensive literature review. This study used a web-based survey to test an integrated model of the experiential value. With a total of 320 usable samples, partial least squares structural equation modeling was carried out to identify key “driver” constructs and validate the proposed model. Findings A significant relationship was found in the playfulness of hotel apps and hotel guests’ cognitive and affective evaluations of the hotel apps, which positively influence hotel guests’ satisfaction and their endorsement for the hotel apps. Hotel apps should create fun and entertainment features in the hotel apps so that the users of hotel apps can be enjoyable during their usage. In addition, providing hotel apps users with time saving and easy use of the hotel apps can affect their satisfaction and endorsement for the hotel apps. Originality/value This study confirmed the positive links among hotel apps users’ experiential value, their cognitive and affective evaluation of the hotel apps, their satisfaction of using the hotel apps and their endorsement for the hotel apps. This study also revealed that hotel apps can be hotels’ effective communication tool that enhances existing and potential customers’ overall experiences.

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