Claims

CSPP pre-referral processes mirror the K-12 MTSS approach and apply fundamentally the same steps to ML and non-ML children

Claim · All claims
Evidence · 1 study · qualitative r2 · q2
Currency · newest study 2023 · 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? Interviewees described an MTSS-style pre-referral process of multidisciplinary teams, baseline data review, and iterative interventions applied similarly to ML and non-ML children. → Burr 2023

Evidence

Burr 2023

Burr, E., Burho, J., & Perez, A. (2023). Pre-Referral Processes in California State Preschool Programs: How Practitioners Decide to Refer Multilingual Children for Special Education Evaluation. WestEd. https://eric.ed.gov/?id=ED655866

q2 · i? · qualitative · r2

Qualitative interview study of 13 coordinators overseeing CSPP, TK, or both across eight California LEAs. Interviewees reported that interpreters and bilingual specialists are involved for ML children, but "the steps of the process remain fundamentally the same."

"The pre-referral process for determining whether to refer children in CSPP for special education evaluations consisted of similar steps for non-ML children and ML children alike."

Discussion

Page metadata
Field Value
type claim
id cspp-prereferral-mirrors-mtss-same-for-ml-children
title CSPP pre-referral processes mirror the K-12 MTSS approach and apply fundamentally the same steps to ML and non-ML children
description CSPP pre-referral processes mirror the K-12 MTSS approach and apply fundamentally the same steps to ML and non-ML children
status review
evidence_strength moderate
newest_evidence 2023
generated by process:wiki-ingest on 2026-10-09
trust unverified — no one has confirmed this page's content
sources 1 — burr-2023

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