Using Exploratory Factor Analysis to Determine the Dimensionality of Discrete Responses

By M. Barendse, F. Oort, Marieke E. Timmerman. 2015

160 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Food Science, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/24fd487ee4a3d9055cbf9e10b87fd3d53aee4677

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. Levi K. Shiverdecker
2. Pui‐wa Lei
3. Alexander Robitzsch

In Food Science

1. Levi K. Shiverdecker
2. Pui‐wa Lei
3. Alexander Robitzsch

In Statistics and Probability

1. Levi K. Shiverdecker
2. Pui‐wa Lei
3. Alexander Robitzsch

Citations in the corpus

• Why Ordinal Variables Can (Almost) Always Be Treated as Continuous Variables: Clarifying Assumptions of Robust Continuous and Ordinal Factor Analysis Estimation Methods (2020, background): “There is a diversity of methodological literature addressing this issue (Dolan, 1994; DiStefano, 2002; Lei, 2009; Flora et al., 2012; Rhemtulla et al., 2012; Sass et al., 2014; Barendse et al., 2015; Asún et al., 2016; Li, 2016; Jia andWu, 2019).”
• Performance of Estimators for Confirmatory Factor Analysis of Ordinal Variables with Missing Data (2020, methodology): “The decision to use a relatively large number of replications (for categorical data studies) was due to the convergence issues with MLR-CAT reported in prior studies (e.g., Asparouhov & Muthén, 2007; Barendse et al., 2015).”