A Meta-Analysis of the Impact and Heterogeneity of Explicit Demand Characteristics

Demand characteristics are a fundamental methodological concern in experimental psychology. Yet, little is known about the direction, magnitude, and consistency of their effects. We conducted a three-level meta-analysis of 253 effect sizes from 53 studies that manipulated explicit demand characteristics (EDCs). On average, EDCs led to small overall increases in hypothesis-consistent responding (g = 0.21, 95% CI [0.11, 0.30]). However, the effects were heterogeneous (between-study τ = 0.29; within-study σ = 0.18), with the prediction interval ranging from g = 0.89 (a large increase in hypothesis-consistent responding) to g = -0.48 (a moderate decrease in hypothesis-consistent responding). Consistent with previous theorizing, the observed and estimated distribution of effects suggest that demand characteristics can create false positives, false negatives, upward bias, and downward bias. These unpredictable inferential consequences suggest that further research is needed to test mechanisms theorized to underlie the effects of demand characteristics.

Authors

Institutions

Publication Details

Journal
Collabra Psychology
Published
2025-01-01
DOI
https://doi.org/10.1525/collabra.143005
Citations
3
Primary Topic
Consumer Retail Behavior Studies
Type
article
Field-Weighted Citation Impact
6.22

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Meta-Analysis of the Impact and Heterogeneity of Explicit Demand Characteristics

Nicholas A. Coles, Michael C. Frank, M. B. Wyatt
3 citations
Collabra Psychology
Consumer Retail Behavior Studies
6.22
article

A Meta-Analysis of the Impact and Heterogeneity of Explicit Demand Characteristics

Nicholas A. Coles, Michael C. Frank, M. B. Wyatt
article en
3 citations

Abstract

Demand characteristics are a fundamental methodological concern in experimental psychology. Yet, little is known about the direction, magnitude, and consistency of their effects. We conducted a three-level meta-analysis of 253 effect sizes from 53 studies that manipulated explicit demand characteristics (EDCs). On average, EDCs led to small overall increases in hypothesis-consistent responding (g = 0.21, 95% CI [0.11, 0.30]). However, the effects were heterogeneous (between-study τ = 0.29; within-study σ = 0.18), with the prediction interval ranging from g = 0.89 (a large increase in hypothesis-consistent responding) to g = -0.48 (a moderate decrease in hypothesis-consistent responding). Consistent with previous theorizing, the observed and estimated distribution of effects suggest that demand characteristics can create false positives, false negatives, upward bias, and downward bias. These unpredictable inferential consequences suggest that further research is needed to test mechanisms theorized to underlie the effects of demand characteristics.

Collabra PsychologyVol. 11(1)
University of Florida (US), Stanford University (US)
John Templeton Foundation
Openalex Percentile: Top 4%
Consumer Retail Behavior Studies
6.22
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.