Lower bounds on sample size in structural equation modeling

By J. Westland. Electronic Commerce Research and Applications, 2010

1,761 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Information Systems and Management, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/dcfc9f8c3b15f1187a602a87e318fc0657ea923b

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Citations in the corpus

Use of AI-based tools for healthcare purposes: a survey study from consumers’ perspectives (2020, neutral): “This is consistent with both the ratio of indicators to the latent variables approach and the function of minimum effect, power and significance suggested by Westland [62].”
Dynamics of need-supportive and need-thwarting teaching behavior: the bidirectional relationship with student engagement and disengagement in the beginning of a lesson (2016, neutral): “It is recommended to have at least 10 cases per free parameter in the model (Westland 2010); so this would mean that over 300 videotaped PE lessons should be available and coded to compose a model with all measured dimensions.”
Dynamics of environmental consciousness and green purchase behaviour: an empirical study (2017, background): “Thumb rule proposed by Nunnally (1967 cited in Westland, 2010) guides most of the research studies in SEM, suggesting a sample size at least ten times the number of variables be used.”
Variance-Based Structural Equation Modeling: Guidelines for Using Partial Least Squares in Information Systems Research (2012, methodology): “In turn, an expansion to the breadth of application of SEM methods can be also noted, including exploratory, confirmatory and predictive analysis, as well as the generating of an increasing diversity of ad hoc topics and models (Westland, 2010).”
Online purchase determinants of loyalty: the mediating effect of satisfaction in tourism (2016, methodology): “Westland (2010) provides formulas, as well as a history of rules of thumb that can be used for determining the appropriate sample size for structural equation models.”
Statistical and Practical Concerns With Published Communication Research Featuring Structural Equation Modeling (2017, background): “Sample sizes in SEM are generally too small for adequate power in significance testing (e.g., Westland, 2010).”
Online grocery shopping: the impact of shopping frequency on perceived risk (2016, background): “Considering the guidelines of Marsh, Balla and McDonald (1988) and Westland (2010), our sample (n = 555) meets the requirement of lower bound sample size.”
Methods and Rule-of-Thumbs in The Determination of Minimum Sample Size When Appling Structural Equation Modelling: A Review (2020, methodology): “In the context of SEM, the power has been used to test the model mostly, the powerbase sample size determination is been utilized ((Goodhue et al., 2012; Kock & Hadaya, 2018; Westland, 2010).”
The influence of recreation experience and environmental attitude on the environmentally responsible behavior of community-based tourists in Taiwan (2015, methodology): “Moreover, the sample sizes in the empirical survey appear to be adequate for performing a structural equation modeling (SEM) analysis based on the findings by Westland (2010).”