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Reading and Language

Learner Variable · All learner variables
Evidence · 206 claims (131 show a difference, 32 mixed, 43 no difference) · 146 studies (39 associational, 37 causal, 30 quant-synthesis, 25 review, 8 theoretical, 4 design, 3 qualitative), q1–q4 · 34 of 146 report an effect size · 197 claims rest on one study

Description

What a learner can read without effort, and whether the language of instruction is the one they think in. LVN's largest factor family — decoding, vocabulary, fluency, composition, disciplinary literacy and language of instruction all sit here. The load-bearing fact is that decoding which is not automatic spends the same budget comprehension needs, so a reading problem presents as a thinking problem [+S].

How strongly it relates to achievement

Mathematics. These are correlations across meta-analyses (Breit et al. 2025, a systematic review of 30 meta-analyses; overview [+W]): how strongly learners who differ on this characteristic differ in mathematics achievement, not how much changing it would change achievement. Many of these characteristics are correlated with one another, and the review is about mathematics only.

  • Verbal achievement r = .67, reading .52, comprehensive language .51, mathematics vocabulary .49, language .42: the strongest group of correlates of mathematics achievement. Claim [+W]

Implications

Context

  • Sets text density, glossing, the plain-language floor, and whether the language at home differs from the language of instruction.
  • Vocabulary is incremental and context-dependent: exposure alone is unreliable, and explicit instruction alone is narrow — the pairing beats either [+M].
  • A page that is hard to read is indistinguishable, in its results, from a page that is hard to understand.

Target Learners

  • Multilingual learners, for whom the gap between conversational and academic language is the usual issue rather than ability.
  • Any learner in a discipline with its own register — mathematics and science included.

Target Learning Objectives

  • Gates comprehension of every text-delivered outcome, so it is a validity threat wherever reading is not the construct.
  • Directly targeted where literacy itself is the goal.

Claims

The evidence by question

  • Working memory — effortful decoding consumes it before comprehension begins.
  • Prior knowledge — vocabulary is partly a knowledge measure, which is why the two correlate so strongly.
  • Access — audio and text-to-speech move the same content past a decoding barrier.

Examples

Key Sources

  • The evidence is carried by the claim pages linked above, each holding its own ## Evidence entries with q/i codes and DOIs checked against Crossref. Citations are deliberately not duplicated here — a second copy is a second thing to keep correct.
Page metadata
Field Value
type learner-variable
id reading-and-language
title Reading and Language
description What a learner can read fluently, and whether the language of instruction is the one they think in.
status review
canonical True
generated by claude/unspecified on 2026-09-02
trust unverified — no one has confirmed this page's content

Frontmatter is the page's machine-readable record — see the Schema & Guide.