Claims

Latent transition analysis extracted four ability-profiles of hypothesis-based reasoning across affirmative, refuting, and irrelevant evidence

Claim · All claims
Evidence · 1 study (2 entries) · causal r? · 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? The best-fitting latent transition analysis extracted four profiles — low, relevant, intermediate, and full — differing in solution rates across the three evidence types. → Hanna Grimm · Peter A. Edelsbrunner · Kornelia Möller 2023 q2 i? At pretest the relevant profile was largest (38% of students, 19% at posttest), while the intermediate and full profiles grew to 39% each at posttest. → Hanna Grimm · Peter A. Edelsbrunner · Kornelia Möller 2023 (2)

Evidence

Hanna Grimm · Peter A. Edelsbrunner · Kornelia Möller 2023

Hanna Grimm · Peter A. Edelsbrunner · Kornelia Möller. (2023). Accommodating heterogeneity: the interaction of instructional scaffolding with student preconditions in the learning of hypothesis-based reasoning. Instructional Science. https://doi.org/10.1007/s11251-022-09601-9

q2 · i? · causal · r?

Model fitting for the latent transition analysis; the four-profile model had the lowest BIC among converging solutions, and profiles capture patterns across the affirmative, refuting, and irrelevant-evidence scores while handling ceiling effects.

"In the latent transition analysis, the best model fit (Table 3) was achieved by extracting four different ability-profiles based on the data of students in both intervention conditions."

Hanna Grimm · Peter A. Edelsbrunner · Kornelia Möller 2023 (2)

Hanna Grimm · Peter A. Edelsbrunner · Kornelia Möller. (2023). Accommodating heterogeneity: the interaction of instructional scaffolding with student preconditions in the learning of hypothesis-based reasoning. Instructional Science. https://doi.org/10.1007/s11251-022-09601-9

q2 · i? · causal · r?

Description of the extracted profiles: the relevant profile (38% pretest, 19% posttest) solved relevant-evidence items but not irrelevant ones; the low profile described 34% (11% posttest), the intermediate 17% (39% posttest), and the full profile 11% (39% posttest).

"The biggest profile at pretest described 38% of students (19% at posttest), who could successfully solve all items involving evidence from events relevant to the hypothesis; that is, these students had high ability levels on the affirmative and refuting items, but low ability levels on the irrelevant items."

Discussion

Page metadata
Field Value
type claim
id four-hbr-ability-profiles-lta
title Latent transition analysis extracted four ability-profiles of hypothesis-based reasoning across affirmative, refuting, and irrelevant evidence
description Latent transition analysis extracted four ability-profiles of hypothesis-based reasoning across affirmative, refuting, and irrelevant evidence
status review
evidence_strength weak
newest_evidence 2023
generated by process:wiki-ingest on 2026-10-18
trust unverified — no one has confirmed this page's content
sources 2 — hanna-grimm-peter-a-edelsbrunner-kornelia-möller-2023, hanna-grimm-peter-a-edelsbrunner-kornelia-möller-2023-2

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