Automated text complexity measurement tools (also called readability metrics) have been proposed as a way to help teachers, textbook publishers, and assessment developers select texts that are closely aligned with the new, more demanding text complexity expectations specified in the Common Core State Standards. This article examines a critical…

The present study examined the technical adequacy of maze-selection tasks constructed in 2 different ways: typical versus novel. We selected distractors for each measure systematically based on rules related to the content of the passage and the part of speech of the correct choice. Participants included 262 middle school students who were…

Given the deficiencies of readability formulae as reliable tools for measuring text readability in educational settings, this study aims to offer a new measure to improve the current methods of testing the readability levels of texts through the incorporation of the newly-developed concept of emotioncy. To this end, a group of 221 students were…

Even though readability formulas are being used more widely than ever before in schools, libraries, businesses, newspapers, and government, there are critics who argue against their use. Criticism includes blaming the formulas for the "dumbing down" of textbooks, for being poor writers' guides, and for not taking into account the background or…

Identifies and describes major factors interacting with readability measures in 36 experimental studies analyzing the validity of such measures. (RB)

Describes a computer formula which measures readability according to how well high school seniors comprehend reading passages. (RB)

The failure of readability formulas can be attributed to three weaknesses in the formulas. First, they ignore or violate current knowledge about the reading process. Most formulas affect only sentence length and word difficulty while ignoring factors that influence text comprehensibility, such as cohesion, the number of inferences required, the…