Coh-Metrix Measures Text Characteristics at Multiple Levels of Language and Discourse

Autor/inn/en	Graesser, Arthur C.; McNamara, Danielle S.; Cai, Zhiqang; Conley, Mark; Li, Haiying; Pennebaker, James
Titel	Coh-Metrix Measures Text Characteristics at Multiple Levels of Language and Discourse
Quelle	In: Elementary School Journal, 115 (2014) 2, S.210-229 (20 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Zusatzinformation	Weitere Informationen
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0013-5984
DOI	10.1086/678293
Schlagwörter	Statistical Analysis; Guidelines; Syntax; Reading Comprehension; Connected Discourse; Instructional Program Divisions; Text Structure; Computational Linguistics; Personality Traits; Discourse Analysis; Pragmatics; Rhetoric + Suchen Sie Ihr Suchwort? Statistische Analyse; Richtlinien; Leseverstehen; Textstruktur; Linguistics; Computerlinguistik; Individual characteristics; Personality characteristic; Persönlichkeitsmerkmal; Diskursanalyse; Pragmalinguistik; Rhetorik
Abstract	Coh-Metrix analyzes texts on multiple measures of language and discourse that are aligned with multilevel theoretical frameworks of comprehension. Dozens of measures funnel into five major factors that systematically vary as a function of types of texts (e.g., narrative vs. informational) and grade level: narrativity, syntactic simplicity, word concreteness, referential cohesion, and deep (causal) cohesion. Texts are automatically scaled on these five factors with Coh-Metrix-TEA (Text Easability Assessor). This article reviews how these five factors account for text variations and reports analyses that augment Coh-Metrix in two ways. First, there is a composite measure called "formality", which increases with low narrativity, syntactic complexity, word abstractness, and high cohesion. Second, the words are analyzed with Linguistic Inquiry and Word Count, an automated system that measures words in texts on dozens of psychological attributes. One next step in automated text analyses is a topics analysis that scales the difficulty of conceptual topics. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10