Inferential Methods for the Tetrachoric Correlation Coefficient
By Douglas G. Bonett, Robert M. Price. 2005
135 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/412735068d65d837cbef702ec6080e31c0c054af
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Albert-Georg Lang
- Urbano Lorenzo-Seva
- Marieke E. Timmerman
- Victoria Savalei
- Edgar Erdfelder
- Franz Faul
- Axel Buchner
- Paul T. von Hippel
In Statistics and Probability
- Urbano Lorenzo-Seva
- Albert-Georg Lang
- Marieke E. Timmerman
- Victoria Savalei
- Edgar Erdfelder
- Franz Faul
- Axel Buchner
- Carl F. Falk
Citations in the corpus
- What to Do About Zero Frequency Cells When Estimating Polychoric Correlations (2011, background): “5 to all cells to preserve the marginals of the contingency table ( Agresti, 2002 ; Bonett & Price, 2005 , 2007 ; Long, Berry, & Mielke, 2009 ).”
- Statistical power analyses using G*Power 3.1: Tests for correlation and regression analyses (2009, methodology): “Clicking on the “Options” button opens a window in which users may choose between the exact approach of Brown and Benedetti (1977) (default option) or an approximation suggested by Bonett and Price (2005). Input and output parameters.”
- Dimensionality assessment of ordered polytomous items with parallel analysis. (2011, methodology): “, C 2), we estimated tetrachoric correlations using computationally simple method of Bonett and Price (2005), who showed that it yields acccurate approximations.”