What predicts adult readers' understanding of STEM texts?

D.J. Follmer, S.-Y. Fang, R.B. Clariana, B.J.F. Meyer, Ping Li

Research output: Journal article publicationJournal articleAcademic researchpeer-review

6 Citations (Scopus)

Abstract

© 2017, Springer Science+Business Media B.V.The current study examined the relations among key variables that underlie reading comprehension of expository science texts in a diverse population of adult native English readers. Using Mechanical Turk to sample a range of adult readers, the study also examined the effect of text presentation on readers' comprehension and knowledge structure established after reading. In Study 1, ratings of situational interest, select reading background variables, and select measures of readers' knowledge structure accounted for significant variance in comprehension. In Study 2, the knowledge structure metrics of primacy, recency, and node degree as well as several text ratings were found to be comparable across text presentation formats. Participants who read the text sentence-by-sentence obtained higher scores on measures of comprehension and provided higher ratings of situational interest than those who received the whole paragraph text at once. Knowledge structure measures for the sentence-by-sentence and paragraph formats were similar (68% overlap). We discuss implications for future research examining factors that underlie the successful comprehension of science texts.
Original languageEnglish
Pages (from-to)185-214
Number of pages30
JournalReading and Writing
Volume31
Issue number1
DOIs
Publication statusPublished - 1 Jan 2018
Externally publishedYes

Keywords

  • Expository text
  • Mechanical turk
  • Reader characteristics
  • Reading comprehension
  • Science text
  • STEM

ASJC Scopus subject areas

  • Neuropsychology and Physiological Psychology
  • Education
  • Linguistics and Language
  • Speech and Hearing

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