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For $7.99, you can stream in small definition on one screen at a time.
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The follow-up analyses on the interaction between number of front vowels and definition size indicated no systematic relationship (for large definitions, b = 0.04, t[26] = 1.56, p = 0.13; and for small definitions, b = 0.01, t[26] = 0.34, p = 0.74).
The number of back vowels was positively associated with memory for large definitions (b = 0.17, t[26] = 4.59) but negatively associated with memory for small definitions (b = –0.15, t[26] = –3.0).
Follow-up analyses indicated that the number of back vowels was positively associated with memory for large definitions (b = 0.21, t[26] = 4.00) but negatively associated with memory for small definitions (b = –0.21, t[26] = –3.23).
Follow-up analyses on the interactions indicated that the number of plosives was negatively related with memory for small definitions (b = –0.08, t(26) = –2.68, p = 0.013), whereas the number of plosives and memory for large definitions were unrelated, (b = –0.03, t(26) = –0.97, p = 0.34).
Follow-up analyses revealed the same pattern of results as those observed in Experiment 2A: a positive relationship between number of back vowels and memory for large definitions (b = 0.12, t[26] = 2.61, p = 0.01) and a negative relationship between number of back vowels and memory for small definitions (b = –0.12, t[26] = –2.34, p = 0.03).
The number of plosives was negatively associated with memory adjective and noun components for small definitions (b = –0.08, t(26) = –2.41, p = 0.02), whereas the relationship between number of plosives and memory for adjectives and nouns from large definitions was non-significant (p = 0.22).
For the secondary item analyses, memory scores for "large" definitions and "small" definitions were treated as a within-items factor and the four key phonological features (number of plosives, number of fricatives, number of front vowels, number of back vowels) were entered as covariates.
Therefore, studies relying on very small definitions of neighborhoods may incur larger amounts of error than those utilizing larger buffers or census tracts.
But that's where the ATO's small business definition will stay.
This is somewhat unexpected as small-ligand binding sites are generally quite small by definition.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com