The review counts positive, negative and null associations rather than pooling effect sizes, because heterogeneity of measures and methods makes meta-analysis unsuitable¶
Claim · All claims
Evidence · 1 study · reviewr3·q2
Currency · newest study 2024 · 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 review used associations (not studies) as the unit of analysis and counted positive, negative and null associations per interaction/outcome category, arguing meta-analysis is often not recommended where diversity in methods and measures is high. → Steven J. Howard 2024
Evidence¶
Steven J. Howard 2024¶
Steven J. Howard, Kate L. Lewis, Emma Walter, Irina Verenikina, & Lisa K. Kervin. (2024). Measuring the Quality of Adult–Child Interactions in the Context of ECEC: a Systematic Review on the Relationship with Developmental and Educational Outcomes. Educational Psychology Review. https://doi.org/10.1007/s10648-023-09832-3
q2 · i? · review · r3
Methods statement: the review determined "the number of positive, negative and null associations" for each interaction/outcome category, since aggregating effect sizes across disparate measures "would have unclear meaning and utility".
"Yet, in fields where diversity in meth- ods and measures is high, as in the current review, meta-analysis often is not rec- ommended (indeed, prior meta-analyses have typically been confined to research on particular quality measures)."
Discussion¶
Related Claims¶
- Global ECEC quality indices show little evidence of relating to child outcomes — possibly the same claim (merge candidate)
- The field uses 77 unique established engagement measures, yet more than one-third of studies rely on unestablished author-created measures — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
association-counting-synthesis-method-for-heterogeneous-quality-literature |
title |
The review counts positive, negative and null associations rather than pooling effect sizes, because heterogeneity of measures and methods makes meta-analysis unsuitable |
description |
The review counts positive, negative and null associations rather than pooling effect sizes, because heterogeneity of measures and methods makes meta-analysis unsuitable |
status |
review |
evidence_strength |
weak |
newest_evidence |
2024 |
generated |
by process:wiki-ingest on 2026-10-21 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — steven-j-howard-2024 |
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