Skip to Main Content
Reminder about potentially serious problems with a type of blocked ANOVA analysisAuthor(s): Steve Verrill; David E. Kretschmann
Source: Research Paper, FPL-RP-683. Madison, WI: USDA, Forest Service, Forest Products Laboratory. 117 p.
Publication Series: Research Paper (RP)
Station: Forest Products Laboratory
PDF: Download Publication (1.0 MB)
DescriptionA type of blocked experiment has the potential of being poorly designed and/or analyzed. Verrill (1993, 1999) and Verrill et al. (2004) referred to such an experiment as a “predictor sort” experiment. David and Gunnink (1997) described the procedure as “artificial pairing.” In textbooks it is sometimes referred to as a “matched pair” or a “matched subjects” design. The associated design process is also sometimes described as “forming blocks via a comcomitant variable.” In a wood research context, Warren and Madsen (1977) described the allocation procedure as follows:
- We recommend that you also print this page and attach it to the printout of the article, to retain the full citation information.
- This article was written and prepared by U.S. Government employees on official time, and is therefore in the public domain.
CitationVerrill, Steve; Kretschmann, David E. 2017. Reminder about potentially serious problems with a type of blocked ANOVA analysis. Research Paper, FPL-RP-683. Madison, WI: USDA, Forest Service, Forest Products Laboratory. 117 p.
KeywordsPredictor sort sampling, artificial pairing, matched pairs, matched subjects, concomitant variable, blocked ANOVA, analysis of covariance, maximum likelihood estimation
- Simulations of nonparametric analyses of predictor sort (matched specimens) data
- A fit of a mixture of bivariate normals to lumber stiffness—strength data
- Analysis of variance calculations for irregular experiments
XML: View XML