Performing Multivariate Group Comparisons Following a Statistically Significant MANOVA
By Craig K. Enders. 2003
117 citations recorded by the source corpus.
Subfields: Food Science, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/c0dc93d6a9a548c8dfad940f9d6632ca50a06dda
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In Food Science
In Statistics and Probability
- Jordan Thibodeaux
- Anastasia Kitsantas
- Aaron Deutsch
- M. Iwasaki
- J. Grice
- A. Winsler
- Alissa R. Sherry
- Sameer Hosany
Citations in the corpus
- First-Year College Students’ Time Use (2017, methodology): “Discriminant function analysis was not chosen because, consistent with Enders (2003), given the nature of our research questions and dependent variables (DVs; four domains of time use), we are not interested in reducing the data into a smaller number of latent factors, which would result in linear…”
- Discriminant Analysis in Counseling Psychology Research (2006, background): “The third condition is if a MANOVA is false for all but one outcome variable (Enders, 2003; Huberty & Petoskey, 2000; Maxwell, 1992).”
- A Truly Multivariate Approach to Manova (2009, methodology): “Consequently, we draw upon the work of Richard J. Harris (1993, 2001; Harris, M., Harris, R., & Bochner, 1982) and Carl J. Huberty (Huberty, 1984; Huberty & Smith, 1982; Huberty & Petoskey, 2000; also, see Enders, 2003) in the current paper to demonstrate a general strategy for conducting MANOVA.”