Is Parceling Really Necessary? A Comparison of Results From Item Parceling and Categorical Variable Methodology

By D. Bandalos. 2008

183 citations recorded by the source corpus.

Subfields: Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/397ab544dfefa111f10da6eeeb7d881fb40d3b94

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Statistics and Probability

1. Dexin Shi
2. Herbert W. Marsh
3. Zhonglin Wen
4. K. Hau
5. T. Little
6. Ning Jiang
7. Jin Liu
8. Heather L. McDaniel

Citations in the corpus

• Why the Items versus Parcels Controversy Needn’t Be One (2013, background): “A nuisance effect that is large enough to introduce bias into a model when it is not estimated may seem to disappear in a parceled solution, but the bias may remain (Bandalos, 2008).”
• Examining Chi-Square Test Statistics Under Conditions of Large Model Size and Ordinal Data (2018, methodology): “…nature of the data, ordinal factor analysis models under the least squares estimation methods are recommended, especially if the data have fewer than five ordered categories (e.g., Bandalos, 2008; DiStefano & Morgan, 2014; Flora & Curran, 2004; Forero, Maydeu-Olivares, & GallardoPujol, 2009).”
• Exploratory structural equation modeling: an integration of the best features of exploratory and confirmatory factor analysis. (2014, background): “The critical assumption underlying the appropriate use of parcels is well established (e.g., Bandalos 2008; Little et al. 2002; Marsh & O’Neill 1984; Marsh et al. 1998, 2013a; Sass & Smith 2006; Williams & O’Boyle 2008): Responses to each different factor must be purely unidimensional, with no…”
• A Comparison of Diagonal Weighted Least Squares Robust Estimation Techniques for Ordinal Data (2014, methodology): “Although robust estimation techniques are becoming more popular, there are still questions regarding the performance of the various techniques and how robust estimators perform under different conditions (Bandalos, 2008).”
• A Comparison of Strategies for Forming Product Indicators for Unequal Numbers of Items in Structural Equation Models of Latent Interactions (2013, background): “However, the sets of items being parceled should be strictly unidimensional; otherwise, the use of parceling can result in substantial bias in the estimates of structural parameters, as well as high Type II error rates (Bandalos, 2008). According to Jackman et al.’s (2011) simulation study, these tw”
• Examination of the Weighted Root Mean Square Residual: Evidence for Trustworthiness? (2018, methodology): “Similar findings were observed with WLSMV-based χ(2) and the RMSEA index, where sample values inaccurately reported a more positive view of model–data fit (Bandalos, 2008; Brosseau-Liard et al., 2012; Savalei, 2012; Shi et al., 2017).”