Claims

Achieve3000 usage predicted about 3.5 percent of current Lexile scores after controlling for pre-test Lexile, motivation, and age

Claim · All claims
Evidence · 1 study · design r2 · q2
Currency · newest study 2017 · not yet checked against its sources · not reviewed by a person

Subclaims

Reading the evidence codes

q is the design tier, i the impact, n the sample, and the kind with its r the rigour judged within that kind: what each code means.

This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.

q2 i? In a hierarchical multiple regression, pre-Lexile score accounted for 76 percent of current Lexile scores, Achieve3000 usage about 3.5 percent, and motivation to learn English roughly 1 percent (p < 0.01). → Luke 2017

Evidence

Luke 2017

Luke, Christina C.; Gibson, Sierra; Francisco, Aubrey T. (2017). Rapid Cycle Pilots: Using Edtech to Support English Learners. Digital Promise. https://digitalpromise.dspacedirect.org/items/383e02ba-587a-4192-be68-175543798661 doi:10.51388/20.500.12265/26

q2 · i? · design · r2

Hierarchical multiple regression on Cajon Valley data with current Lexile as dependent variable and pre-test Lexile, Achieve3000 usage, motivation to learn English, and student age as predictors, run in IBM SPSS. Percentages are variance shares as printed; no standardized effect size is reported.

"The final multiple regression model indicated that pre-Lexile score serves as a 76 percent indicator of students' current Lexile scores, while Achieve3000 usage accounts for about 3.5 percent and students' motivation to learn English predicts roughly 1 percent of students' current Lexile score (p < 0.01)"

Discussion

Page metadata
Field Value
type claim
id achieve3000-usage-predicts-lexile-regression
title Achieve3000 usage predicted about 3.5 percent of current Lexile scores after controlling for pre-test Lexile, motivation, and age
description Achieve3000 usage predicted about 3.5 percent of current Lexile scores after controlling for pre-test Lexile, motivation, and age
status review
evidence_strength weak
newest_evidence 2017
generated by process:wiki-ingest on 2026-10-09
trust unverified — no one has confirmed this page's content
sources 1 — luke-2017

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