Limitations in the systematic analysis of structural equation model fit indices

Rose, S.; Markman, Barry S.; Sawilowsky, Shlomo S.

doi:10.22237/jmasm/1493597040

Cited by 20 publications

(12 citation statements)

References 13 publications

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“…The authors of the study are aware that developing a loyalty model using structural equation models (SEM) has its limitations. In numerous studies (see e.g., [68][69][70][71][72][73][74]), both weaknesses and limitations of structural equation models were identified, among which the following should be listed: errors caused by disregarding important variables, difficulties in the specification and modification of SEM models, problems in understanding the role of the null hypothesis and equivalence in SEM models, problems resulting from multicollinearity, limitations in the systematic analysis of SEM fit indices, and theoretical and philosophical controversies related to the usefulness of the SEM model.…”

Section: Strengths and Limitationsmentioning

confidence: 99%

Loyalty Model Proposal of Travel Agency Customers

et al. 2019

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Customer loyalty to a destination and accommodation services constitutes a frequent object of research; however, customer loyalty to travel agencies is rarely analyzed. The presented article is an attempt to fill in this research gap. Its purpose is to construct and verify the model covering the impact of the selected factors on the loyalty level of customers of travel agencies operating in Poland. The conceptualization of the loyalty model of travel agency customers (based on the European path-based EPSI model) proposed in the article was first used to illustrate the existing correlations in customer behavior to analyze and explain the development of the loyalty phenomenon vis-a-vis travel agency customers. The aforementioned assumptions—having applied the structural equation modelling (SEM)—were reflected in the development of the theoretical model of travel agencies customer loyalty, the empirical verification of which (N = 1151) allowed us to determine the impacts of selected factors (i.e., the perceived quality of the travel agency’s offers, its image and the satisfaction with its service buyers) on the loyalty level of travel agency customers. It has been shown that two major factors have positive impacts on the loyalty of travel agency customers: (i) the perceived quality of travel agency offers, and (ii) its image. Furthermore, the conducted analysis highlights the positive influence of the perceived value of travel agency offers on the loyalty of customers.

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Section: Strengths and Limitationsmentioning

confidence: 99%

Loyalty Model Proposal of Travel Agency Customers

et al. 2019

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“…Moreover, although the results can be considered representative for the teaching population of Europe and North and South America, considering the absence of statistically significant differences by regions, the results, and conclusions of this study cannot be extrapolated to a worldwide population (Olejnik, 1984). Additionally, although the results in terms of reliability and goodness-and badness-of-fit indices were correct for several authors, the most demanding researchers in the field may consider them improvable (Rose et al, 2017).…”

Section: Discussionmentioning

confidence: 91%

Development and Validation of Pedagogical Beliefs About Teaching Practices Questionnaire: A Cross-Continental Study

Miravet

Ribés

Alegre

2021

PED

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The aims of this study were to create and validate a questionnaire designed to assess schoolteachers’ pedagogical beliefs according to 641 schoolteachers and 26 experts and analyse the results obtained therefrom. A seven-factor structure was defined for the questionnaire, and Cronbach’s alpha was .91. Compared to their older, more experienced and male counterparts, younger, less experienced and female teachers, respectively, demonstrated more positive beliefs about factors such as classroom climate, the teacher’s role and the student’s role.

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“…The results in Table show that the values of the exact model fit indices (SRMR = 0.085; dULS = 0.658; dG1 = 0.204; dG2 = 0.185) are smaller than their corresponding upper limits of 95% and 99% confidence intervals indicating a good model fit (Henseler et al, ). In addition, although the value of approximate fit index SRMR is greater than the more conservative threshold of 0.08 (e.g., Henseler et al, ), it is less than 0.09 which is ‘a maximum allowable value’ for showing a good model fit (Hu and Bentler, ; Rose et al, , p. 74). Taken together, the analytic model cannot be rejected.…”

Section: Analysis and Resultsmentioning

confidence: 99%

Realized absorptive capacity and entrepreneurial universities’ organizational change: the role of process innovation practices

2019

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Although essential to all institutions, organizational change is a complex and high risk activity. In this paper, we examine how organizations develop and implement capabilities to facilitate organizational change. Drawing on the dynamic capability perspective and a 'resourcing' synergy view, we investigate how realized absorptive capacity in terms of transformation and exploitation capability directly affects organizational change, and how process innovation practices act as an effective mechanism that link transformation and exploitation capability with organizational change. To distinguish our analysis, we focus on both an emerging organizational form and an emerging economy context. Specifically, on the basis of a questionnaire survey of 316 academics from entrepreneurial universities in Malaysia, we find that both transformation and exploitation capability are facilitators of organizational change. However, the relationship of transformation capability with organizational change is fully mediated by process innovation practices, while the relationship between exploitation capability and organizational change is partially mediated by process innovation practices. Our research therefore contributes to the dynamic capability perspective of organizational change and absorptive capacity by highlighting the importance of integrating organizational transformation and exploitation capability with process innovation practices in different ways to facilitate organizational change. Our findings and accompanying discussion on how process innovation practices can generate moves towards universities that are more entrepreneurial will also be of interest to university managers and policy makers.

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Limitations in the systematic analysis of structural equation model fit indices

Cited by 20 publications

References 13 publications

Loyalty Model Proposal of Travel Agency Customers

Loyalty Model Proposal of Travel Agency Customers

Development and Validation of Pedagogical Beliefs About Teaching Practices Questionnaire: A Cross-Continental Study

Realized absorptive capacity and entrepreneurial universities’ organizational change: the role of process innovation practices

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