Claims

Different evidence types differ in how strongly they can support claims about effectiveness

Claim · All claims
Evidence · 1 study · theoretical r? · q1
Currency · newest study 2016 · 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.

q1 i? The four evidence types differ in whether they can provide strong support for claims about effectiveness, which the guide explains type by type. → Gregory Chojnacki 2016

Evidence

Gregory Chojnacki 2016

Gregory Chojnacki, Alexandra Resch, Alma Vigil, Ignacio Martinez, Steve Bates. (2016). Understanding Types of Evidence: A Guide for Educators. Washington, DC: Mathematica Policy Research. https://www.mathematica.org/publications/understanding-types-of-evidence-a-guide-for-educators

q1 · i? · theoretical · r?

The guide's stated purpose, an argumentative/descriptive statement: it explains "how to tell whether these types of evidence can provide strong support for claims about effectiveness." No empirical test of this differential support is reported in the text provided.

"This guide describes four key types of evidence you are likely to encounter and explains how to tell whether these types of evidence can provide strong support for claims about effectiveness."

Discussion

Page metadata
Field Value
type claim
id evidence-types-differ-support-strength
title Different evidence types differ in how strongly they can support claims about effectiveness
description Different evidence types differ in how strongly they can support claims about effectiveness
status review
evidence_strength weak
newest_evidence 2016
generated by process:wiki-ingest on 2026-10-08
trust unverified — no one has confirmed this page's content
sources 1 — gregory-chojnacki-2016

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