Cited by 908Computational and Text Analysis MethodsLinguistic research and analysisAuthorship Attribution and Profiling

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MTLD, vocd-D, and HD-D: A validation study of sophisticated approaches to lexical diversity assessment

McCarthy, Philip M., Jarvis, Scott·2010·Behavior Research Methods

Abstract

The main purpose of this study was to examine the validity of the approach to lexical diversity assessment known as the measure of textual lexical diversity (MTLD). The index for this approach is calculated as the mean length of word strings that maintain a criterion level of lexical variation. To validate the MTLD approach, we compared it against the performances of the primary competing indices in the field, which include vocd-D, TTR, Maas, Yule's K, and an HD-D index derived directly from the hypergeometric distribution function. The comparisons involved assessments of convergent validity, divergent validity, internal validity, and incremental validity. The results of our assessments of these indices across two separate corpora suggest three major findings. First, MTLD performs well with respect to all four types of validity and is, in fact, the only index not found to vary as a function of text length. Second, HD-D is a viable alternative to the vocd-D standard. And third, three of the indices--MTLD, vocd-D (or HD-D), and Maas--appear to capture unique lexical information. We conclude by advising researchers to consider using MTLD, vocd-D (or HD-D), and Maas in their studies, rather than any single index, noting that lexical diversity can be assessed in many ways and each approach may be informative as to the construct under investigation.

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  1. Biggs, A., Daniel, L., Feather, R. M., Ortleb, E., Rillero, P., Snyder, S. L., & Zike, D. (2003). Glencoe science: Science level green. New York: Glencoe/McGraw-Hill.
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  3. Dugast, D. (1978). Sur quoi se fonde la notion d’étendue théoretique du vocabulaire? Le Français Moderne, 46, 25–32.
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  5. Maas, H. D. (1972). Zusammenhang zwischen Wortschatzumfang und Länge eines Textes. Zeitschrift für Literaturwissenschaft und Linguistik, 8, 73–79.
  6. McCarthy, P. M., Dufty, D., Hempelman, C., Cai, Z., Graesser, A. C., & McNamara, D. S. (in press). Evaluating givenness/newness. Discourse Processes.
  7. McEnery, T. (2003). Corpus linguistics. In R. Mitkov (Ed.), Handbook of computational linguistics (pp. 448–463). Oxford: Oxford University Press.
  8. Orlov, Y. K. (1983). Ein Model der Häufigekeitsstruktur des Vokabulars. In H. Guiter & M. V. Arapov (Eds.), Studies on Zipf’s law (pp. 154–233). Bochum: Brockmeyer.

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Metadata

Authors
McCarthy, P. M., & Jarvis, S.
Affiliations
  • University of Memphis (US)
  • Ohio University (US)
Corresponding author
McCarthy, Philip M.
Venue
Behavior Research Methods
Published
2010-05
Volume
42
Issue
2
Pages
381-392
ISSN
  • 1554-351X (ISSN-L)
  • 1554-3528
OpenAlex
W2087388117
Cited by
905
References
50
Citations by year
2026: 147 · 2025: 103 · 2024: 85 · 2023: 82 · 2022: 92 · 2021: 70 · 2020: 71 · 2019: 53 · 2018: 24 · 2017: 35 · 2016: 38 · 2015: 26 · 2014: 27 · 2013: 17 · 2012: 23
FWCI
128.67
Type
journal article
Language
en
Open access
closed
Locations
  • Behavior Research Methods (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Social Sciences › General Social Sciences › Computational and Text Analysis Methods
  • Social Sciences › Arts and Humanities › Language and Linguistics › Linguistic research and analysis
  • Physical Sciences › Computer Science › Artificial Intelligence › Authorship Attribution and Profiling
Keywords
lexical diversity, hypergeometric distribution, convergent validity, discriminant validity, incremental validity
MeSH terms
Humans, Language Tests, Psychology, Experimental, Reproducibility of Results

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