To Parcel or Not to Parcel: Exploring the Question, Weighing the Merits

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Examining Individual and Ecological Predictors of the Self-Determination of Students with Disabilities (2007, methodology): “Parceling introduces advances over itemlevel modeling, including greater parsimony, fewer chances for correlated residuals or dual loadings of indicators, and reductions in sampling error (Little et al., 2002).”
Transformational leadership and innovation in an R&D organization experiencing major change (2013, background): “This approach reduces sources of sampling error, and is particularly beneficial when the number of items is high relative to the sample size (Little et al., 2002).”
Re-examining the relationships among perceived quality, value, satisfaction, and destination loyalty (2018, background): “Using the first-order reflective constructs to operationalize quality in this case can lead to empirical bias and create measurement errors (see Little et al., 2002).”