Estimating Latent Variable Interactions with the Unconstrained Approach: A Comparison of Methods to Form Product Indicators for Large, Unequal Numbers of Items

By M. Jackman, Walter L. Leite, David J. Cochrane. 2011

51 citations recorded by the source corpus.

Subfields: Food Science, Management Science and Operations Research, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/f548c538316a3ae0dc0f2e88a853d0b9569dd7e0

How researchers see this paper

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

In Food Science

1. K. Hau
2. Yan Wu
3. Robert J. Vandenberg
4. Herbert W. Marsh
5. Zhonglin Wen
6. Shruti Sardeshmukh

In Management Science and Operations Research

1. Herbert W. Marsh
2. Zhonglin Wen
3. K. Hau
4. Robert J. Vandenberg
5. Shruti Sardeshmukh
6. Eldad Davidov
7. Yan Wu
8. Alexandre J. S. Morin

In Statistics and Probability

1. Herbert W. Marsh
2. Robert J. Vandenberg
3. Zhonglin Wen
4. K. Hau
5. Shruti Sardeshmukh
6. Yan Wu
7. B. Muthén
8. Carlo Salvato

Citations in the corpus

• Integrating Moderation and Mediation (2016, methodology): “Jackman et al. (2011) also found that the LMS approach possessed greater power in detecting latent interaction effects. Given the favorable evaluations, the LMS approach to specifying latent interaction effects was built into the Mplus software package (L. K. Muthén & Muthén, 1998-2012) under the es”
• A Comparison of Strategies for Forming Product Indicators for Unequal Numbers of Items in Structural Equation Models of Latent Interactions (2013, methodology): “The constrained approach was proposed by Kenny and Judd (1984) and further developed by Jöreskog and Yang (1996) and Algina and Moulder (2001), among others.”