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How accurate are lexile text measures?

A Jackson Stenner1, Hal Burdick, Eleanor E Sanford

  • 1MetaMetrics, Inc., 1000 Park Forty Plaza Drive, Suite 120, Durham, NC 27713, USA. jstenner@lexile.com

Journal of Applied Measurement
|June 30, 2006
PubMed
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The Lexile Framework for Reading measures text difficulty and reader ability. Study finds reader imprecision, not text inaccuracy, is the main cause of comprehension uncertainty.

Area of Science:

  • Educational Measurement
  • Reading Science

Background:

  • The Lexile Framework for Reading quantifies reading comprehension by comparing reader measures to text measures.
  • Uncertainty in comprehension prediction arises from reader measure unreliability and text readability measure inaccuracy.
  • Current Lexile text measures may be imperfect due to theoretical misspecification.

Purpose of the Study:

  • To analyze the sources of uncertainty in Lexile-based comprehension modeling.
  • To differentiate between reader-related and text-related factors contributing to comprehension error.
  • To quantify the impact of Lexile theory misspecification on text measures.

Main Methods:

  • Whole-text processing was employed to eliminate sampling error in text readability measures.
  • The standard deviation component attributed to Lexile theory misspecification was estimated.

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  • Standard errors for text measures across a range of passage lengths were calculated.

    • Main Results:

    • Whole-text processing reduces, but does not eliminate, text measure inaccuracy.
    • Lexile theory misspecification contributes an estimated standard deviation of 64L for standard-length passages.
    • Uncertainties for longer texts (2,500–150,000 words) on the Lexile scale are minimal (single digits).

    Conclusions:

    • Imprecision in reader ability measures is the primary driver of uncertainty in expected comprehension rates.
    • Lexile text readability measures are relatively accurate, especially for longer texts.
    • Future improvements in comprehension modeling should focus on enhancing reader assessment accuracy.