The Effects of Item Parceling on Goodness-of-Fit and Parameter Estimate Bias in Structural Equation Modeling

By D. Bandalos. 2002

1,376 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Information Systems and Management, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/ba339cd178a51f302e0248c88718308b39145c31

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In Computer Networks and Communications

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Citations in the corpus

The Use of Structural Equation Modeling in Counseling Psychology Research (2005, background): “In fact, recent Monte Carlo simulations have found that item parcels often mask misspecified models by yielding acceptable factor loadings and fit indices (Bandalos, 2002; Kim & Hagtvet, 2003).”
How Investment in Gender Ideals Affects Well-Being: The Role of External Contingencies of Self-Worth (2005, background): “Parceling improves the goodness of fit and reduces bias in estimations of structural parameters in comparison to individual item use (Bandalos, 2002).”
Psychometric evaluation of the behavioral inhibition/behavioral activation system scales and the sensitivity to punishment and sensitivity to reward questionnaire in a sample of eating disordered patients (2009, positive): “In contrast, for the SPSRQ, item parcels were used (e.g., Bandalos, 2002), because the SPSRQ comprises a rather large number of items, in comparison to our relatively low number of participants (n = 103), which inflates the degrees of freedom in the resulting models, causing bad fit indices.”
A Monte Carlo Study Investigating the Impact of Item Parceling Strategies on Parameter Estimates and Their Standard Errors in CFA (2006, methodology): “The focus of this investigation was on issues of bias in parameter estimates and standard errors and, as such, related more directly to recent work reported by Bandalos (2002) and Hau and Marsh (2004).”
Brand anthropomorphism: Conceptualization, measurement, and impact on brand personality and loyalty (2015, methodology): “Each latent construct was measured by a single composite indicator that served as observed variable, according to an itemparceling procedure that has been recommended to obtain more parsimonious and precise structural estimates (Bandalos, 2002) and a better model fit (Nasser and Wisenbaker, 2003).”
Peering into the “Magnum Mysterium” of Culture (2009, methodology): “Given that individual items tend to have low reliabilities and often violate assumptions of multivariate normality, we used the more common parceling method where three-item clusters or “parcels” are used as indicators instead of individual items (Bandalos, 2002; Nasser & Wisenbaker, 2003). The mult”
Dynamic Capability Building in Service Value Networks for Achieving Service Innovation (2009, methodology): “In models where the sample size to variable ratio is small, use of the item-parceling technique is deemed appropriate (Bandalos & Finney, 2001; Bandalos, 2002).”
Ethical Leadership and Team Ethical Voice and Citizenship Behavior in the Military: The Roles of Team Moral Efficacy and Ethical Climate (2020, background): “Some scholars argue that the estimation of a measurement model can be biased when a parceling approach is applied to multidimensional constructs (e.g., Bandalos, 2002; Hagtvet & Nasser, 2004; Hall et al., 1999; S. Kim & Hagtvet, 2003; Schallow, 2000).”
Parameter Recovery and Model Fit Using Multidimensional Composites: A Comparison of Four Empirical Parceling Algorithms (2004, methodology): “In both the Hall et al. (1999) and Bandalos (2002) simulations, one set of indicators only contained systematic variance due to the primary construct.”
Accuracy of Parameter Estimates and Confidence Intervals in Moderated Mediation Models (2017, methodology): “Readers are referred to Petrescu (2013) for a review on using single indicators in SEM and Bandalos and Finney (2001) and Little, Rhemtulla, Gibson, and Schoemann (2013) for reviews on item parceling issues in SEM.”
Personal Teaching Efficacy and Its Sources: Student teachers’ perceptions (2007, methodology): “According to this model, which is in complete accord with Bandura’s (1986, 1997) socio-cognitive theory, the most basic factors that influence efficacy beliefs are the analysis of social attribution and the interpretation of four information sources on efficacy: mastery experience, physical readines”
Multidimensionality and Structural Coefficient Bias in Structural Equation Modeling (2013, methodology): “The troubling practice of burying multidimensionality in the item responses in parcels, however, finally is attracting attention (e.g., Bandalos, 2002; Meade & Kroustalis, 2006; Sterba & MacCallum, 2012).”
Construct Measurement and Validation Procedures in MIS and Behavioral Research: Integrating New and Existing Techniques (2011, background): “Note, however, that the latter procedure is not without limitations (see Bandalos 2002), as we discuss later.”