Content

Lexile® and Quantile® measures provide supplemental and agnostic metrics of content and material difficulty that allows educators to recommend, and parents and students to discover, appropriate and aligned resources, inspiring progress now and in the future.

How We Help

Increase Exposure

Promote the books, content, and materials that align with a learner’s reading and math ability.

Level Objectively

Readily obtain measures for your products and gain insight and perspective for your customers.

Create Precisely

Inspire learners to progress with new resources that are always at the right level.

Increase Exposure

MetaMetrics® provides a book finder tool for educators, parents, and learners that matches reading ability, content complexity, and personal interests with search results. Book types, fiction and nonfiction, texts appropriate for beginning readers, and the ability to identify a book’s most challenging vocabulary words, help everyone in the reading selection process. A personalized bookshelf of favorites saves time by retaining book selections that match individual needs and interests to support both learning and enjoyment.

Powered by a rich database of hardcover, e-books, paperback, and trade books, each title in the database includes a Lexile measure, bibliographic information, book summaries, and book attributes such as page count, book type, series information, and characteristics that make a book challenging. Books 100L below to 50L above a learner’s Lexile measure provide an ideal level of challenge, but readers can enjoy books in a much wider range depending on their interests and motivation.

MetaMetrics boosts product visibility even further by providing book search data to booksellers and library automation providers all over the world, including Amazon, Barnes & Noble, and Follet.

Level Objectively

MetaMetrics enables content providers to submit, measure, and certify different types of reading and math content with a Lexile or Quantile measure. 

For books, passages, and other texts, MetaMetrics breaks down text and determines characteristics such as sentence length and word frequency to calculate the complexity of the text and produce the appropriate, certified Lexile measure. The measure also offers data on early-reading text characteristics like decodability for texts that are 650L and below.

Using our interconnected mathematics knowledge model, MetaMetrics calibrates and assigns your math materials a Quantile measure and aligns it to Common Core and state standards. The math demand of the content, such as textbook lessons, games, and other resources, is analyzed to determine the sequence of skills and concepts and the overall difficulty is assigned a Quantile measure.

Create Precisely

MetaMetrics provides a suite of tools that authors can use throughout the content creation process to align articles, passages, or books to the reading level of your target audience. By generating a real-time Lexile measure during the development process, authors can finish projects knowing the Lexile measure is right where it needs to be. 

Authors can use MetaMetrics’ GenAI capability to eliminate the guesswork and boost productivity by streamlining the time-consuming, repetitive task of writing text on the same topic at different reading levels. MetaMetrics enables content creators to auto-generate text based on existing materials to fit specific Lexile ranges and incorporate key vocabulary words. Using a source document, authors can adjust readability without losing the essence of the content, ensuring the right balance between content complexity and student ability. 

For creators of math materials, MetaMetrics provides access to resources that support the development of materials aligned with specific learning goals. Using the Quantile measure range, aligned to state and Common Core standards, content developers can understand the prerequisite skills and concepts and the supporting resources needed to support growth, allowing them to validate their work against their own choice of defined standards.

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