Conducting and Interpreting Canonical Correlation Analysis in Personality Research: A User-Friendly Primer
By Alissa R. Sherry, R. Henson. Journal of Personality Assessment, 2005
807 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/84df52ba77ba6d1adcc44735b1a45dade42ec8ce
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
- R. Henson
- Sameer Hosany
- J. Bagger
- Andrew Li
- Angela S. Book
- B. Visser
- Anthony A. Volk
- Alissa R. Sherry
In Statistics and Probability
- Sameer Hosany
- J. Bagger
- Andrew Li
- R. Henson
- Angela S. Book
- B. Visser
- Anthony A. Volk
- Alissa R. Sherry
Citations in the corpus
- Effect-Size Measures and Meta-Analytic Thinking in Counseling Psychology Research (2006, methodology): “As Sherry and Henson (2005) noted, “The GLM provides a framework for understanding all classical analyses in terms of the simple Pearson r correlation” (p. 37).”
- Colorimetric patterns of wood pellets and their relations with quality and energy parameters (2014, background): “This is the most important difference between CCA and ordinary correlation analysis which highly depends on the basis in which the variables are described [54].”
- Appraisal Determinants of Tourist Emotional Responses (2012, methodology): “To examine the simultaneous relationship between the predictor and criterion variables, applying linear equation, the observed variables in each set are combined into one synthetic (or latent) variable, known as the canonical variate (Sherry and Henson 2005).”
- The Balanced Inventory of Desirable Responding (BIDR) (2007, methodology): “Canonical correlation analyses were conducted to examine the relationship between the reliability coefficients of IM and SDE scores and the study characteristics described above (Sherry & Henson, 2005).”
- Unpacking “evil”: Claiming the core of the Dark Triad (2015, methodology): “As suggested by Sherry and Henson (2005), we only interpreted the first two functions, given that the third accounted for very little of the residual variance.”
- Discriminant Analysis in Counseling Psychology Research (2006, background): “Because structure coefficients are simply Pearson’s r statistics, they may range from –1 to +1, and there is no shared variance between the predictor values (Henson, 2002; Klecka, 1980; Sherry & Henson, 2005).”