"Important text characteristics for early-grades text complexity": Correction to Fitzgerald et al. (2015)

• Localización: Journal of educational psychology, ISSN-e 1939-2176, ISSN 0022-0663, Vol. 107, Nº. 2, 2015, pág. 630
• Idioma: inglés
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• Resumen

  • Reports an error in "Important text characteristics for early-grades text complexity" by Jill Fitzgerald, Jeff Elmore, Heather Koons, Elfrieda H. Hiebert, Kimberly Bowen, Eleanor E. Sanford-Moore and A. Jackson Stenner (Journal of Educational Psychology, 2015[Feb], Vol 107[1], 4-29). Figures 5 and 8 were inadvertently printed in greyscale through a production related error. The correct color figures appear in this record. (The following abstract of the original article appeared in record 2014-31350-001.) The Common Core set a standard for all children to read increasingly complex texts throughout schooling. The purpose of the present study was to explore text characteristics specifically in relation to early-grades text complexity. Three hundred fifty primary-grades texts were selected and digitized. Twenty-two text characteristics were identified at 4 linguistic levels, and multiple computerized operationalizations were created for each of the 22 text characteristics. A researcher-devised text-complexity outcome measure was based on teacher judgment of text complexity in the 350 texts as well as on student judgment of text complexity as gauged by their responses in a maze task for a subset of the 350 texts. Analyses were conducted using a logical analytical progression typically used in machine-learning research. Random forest regression was the primary statistical modeling technique. Nine text characteristics were most important for early-grades text complexity including word structure (decoding demand and number of syllables in words), word meaning (age of acquisition, abstractness, and word rareness), and sentence and discourse-level characteristics (intersentential complexity, phrase diversity, text density/information load, and noncompressibility). Notably, interplay among text characteristics was important to explanation of text complexity, particularly for subsets of texts.