Table 1.
Data Characteristics | Recommended Criteria |
Values for Illustrative Data Sets |
|||
---|---|---|---|---|---|
IC | ID | RC | RD | ||
Sample size (N) | N≥300 | 2,000 | 2,000 | 600 | 600 |
Size of putative | nt≥50, | 1,000, .50 | --- | 60, .10 | --- |
taxon (nt, P) | P≥.05 | (998, .50) | (1,105, .55) | (83, .14) | (192, .32) |
Number of indicators (k) | k≥2a | 6 | 6 | 4 | 4 |
k≥5b | |||||
Number of ordered categories (C) |
C≥4 | 20 | 20 | 5 | 5 |
Indicator validity (d) | d≥1.25 | 2.00 | --- | 1.85 | --- |
(2.01) | (1.62) | (2.06) | (1.54) | ||
Within-group | rwg≤.30 | −.01 | --- | .22 | --- |
correlation (rwg) | (−.01) | (.21) | (.07) | (.07) |
Notes. Values in parentheses are estimates. IC = idealized categorical data set; ID = idealized dimensional data set; RC = representative categorical data set; RD = representative dimensional data set.
This criterion applies if N and C are large.
This criterion applies if N or C is not particularly large.