Colleagues,

We would like to alert you to our new paper on measurement error: 
"Interrogating Random and Systematic Measurement Error in Morphometric Data", 
currently In Press at Evolutionary Biology 
(https://link.springer.com/article/10.1007/s11692-024-09627-6: also available 
upon request).

Some of you may recall the lively discussion on Morphmet last year regarding 
the evaluation of ME. This paper is our 'analytical followup' to that 
discussion. The paper provides a thorough overview of the subject as it 
pertains to morphometric data, and identifies several key issues with its 
evaluation. First, the commonly used intra-class correlation coefficient (ICC) 
can be misleading, simply because a greater disparity in shape among 
observations can inflate ICC estimates. This could lead one to conclude that ME 
does not introduce concerns for the analysis of shape variation. We demonstrate 
that reliance on ICC statistics (or R^2 statistics) should be avoided, 
especially in lieu of explicit hypothesis tests.

Second, we provide a framework for parsing systematic and random components of 
ME, and performing hypothesis tests for systematic ME.  This hypothesis testing 
framework can include group-specific evaluation of systematic ME, if data are 
sampled from different groups that could vary in shape.  We also show via 
simulation experiments that a consistent digitizing prejudice does not 
necessarily yield consistent systematic ME among groups, emphasizing the 
importance of an analytical framework that can detect and pinpoint where issues 
from digitizing could arise.

Additionally, we provide graphical tools that assist in interpreting which 
research subjects might be implicated by ME.  We use these statistical and 
graphical tools to re-analyze a recent example, identifying some cases that 
could elucidate digitizing issues (and could be revisited).

All of these tools (both statistical and graphical) are available in the latest 
versions of geomorph and RRPP, now found on CRAN.

Dean Adams and Mike Collyer

Dr. Dean C. Adams
Distinguished Professor of Evolutionary Biology
Department of Ecology, Evolution, and Organismal Biology
Iowa State University
https://faculty.sites.iastate.edu/dcadams/
phone: 515-294-3834

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