A Monte Carlo Study Investigating the Impact of Item Parceling Strategies on Parameter Estimates and Their Standard Errors in CFA

By Fadia Nasser-Abu Alhija, J. Wisenbaker. 2006

289 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Management Science and Operations Research, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/d63e4984f3d9f41de56a3d85bc543ea8d7611520

How researchers see this paper

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

In Computer Networks and Communications

1. David J. Cochrane
2. S. A. Satıcı
3. M. Jackman
4. Walter L. Leite

In Management Science and Operations Research

1. David J. Cochrane
2. S. A. Satıcı
3. M. Jackman
4. Walter L. Leite
5. Shruti Sardeshmukh
6. Robert J. Vandenberg

In Statistics and Probability

1. David J. Cochrane
2. S. A. Satıcı
3. M. Jackman
4. Walter L. Leite
5. Robert J. Vandenberg
6. Shruti Sardeshmukh

Citations in the corpus

• Estimating Latent Variable Interactions with the Unconstrained Approach: A Comparison of Methods to Form Product Indicators for Large, Unequal Numbers of Items (2011, background): “Previous studies about the use of parceling with CFA found that there were no substantial advantages of using parcels instead of indicators (Alhija & Wisenbaker, 2006; Hau & Marsh, 2004; Marsh et al., 1998).”
• Facebook Addiction and Subjective Well-Being: a Study of the Mediating Role of Shyness and Loneliness (2019, methodology): “Item parceling method was used in order to reduce the number of observed variables and to improve reliability and normality of the resulting measures (Nasser-Abu Alhija and Wisenbaker 2006).”