Claims

The SKT-SRL shows acceptable-to-very good internal consistency across subscales

Claim · All claims
Evidence · 1 study · design r3 · q2
Currency · newest study 2024 · checked against its sources 2026-10-20 (automated, 1 of 1 entry) · not reviewed by a person · recheck by 2027: tool and model accuracy changes quickly

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 Validation Study 1, Cronbach's alpha values were respectable-to-very good for all scenario subscales, component subscales, and the total scale. → Laura Dörrenbächer-Ulrich 2024

Evidence

Laura Dörrenbächer-Ulrich 2024

Laura Dörrenbächer-Ulrich, Jörn R. Sparfeldt, Franziska Perels. (2024). Knowing how to learn: development and validation of the strategy knowledge test for self-regulated learning (SKT-SRL) for college students. Metacognition and Learning. https://doi.org/10.1007/s11409-024-09379-w

q2 · i? · design · r3

Psychometric analysis in Validation Study 1 (N = 99 teacher education and psychology students) after an adapted scoring mechanism; scenario subscale alphas ranged from .77 to .84 per Table 5, with the total scale showing strong reliability.

"Regarding reliability evidence, Cronbach's alpha values were respectable-to-very good for all the scenario subscales, the component subscales, and the total scale."

Discussion

Page metadata
Field Value
type claim
id skt-srl-reliability
title The SKT-SRL shows acceptable-to-very good internal consistency across subscales
description The SKT-SRL shows acceptable-to-very good internal consistency across subscales
status review
evidence_strength moderate
newest_evidence 2024
source_checked 2026-10-20
recheck_by 2027
generated by process:wiki-ingest on 2026-10-19
trust unverified — no one has confirmed this page's content
sources 1 — laura-dörrenbächer-ulrich-2024

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