G2

Consistency

Question Framing Stability

Equivalent questions should yield equivalent answers

5
Models Tested
0
Confirmatory
0.069
Mean Effect
0.284
Max Effect

Theoretical Context

Theoretical Anchor

Consistency Baseline

Normative Violation

Equivalent questions should yield equivalent answers

Cross-Model Comparison

Effect sizes for Question Framing Stability across all tested models

OpenAI
GPT-5.2

The Steady Traditionalist

h = -0.284
Google
Gemini 2.0 Flash

The Consistent Optimist

h = +0.218
OpenAI
GPT-5.4 Thinking

The Deliberative Calibrator

h = +0.192
Anthropic
Claude Sonnet 4.6

The Cautious Contrarian

h = +0.127
OpenAI
GPT-5.3 Instant

The Directive Optimist

h = +0.093

Statistical Details

Full results with confidence intervals and sample sizes

Modeln (A)n (B)Cohen's h95% CIStatus
GPT-5.25050-0.2838Exploratory
Gemini 2.0 Flash5050+0.2185Exploratory
GPT-5.4 Thinking5050+0.1919Exploratory
Claude Sonnet 4.65050+0.1266Exploratory
GPT-5.3 Instant5050+0.0930Exploratory