Article

When Conditioning Causes Bias: Endogeneity in Time-Augmented Item Response Models

2026-01-28

Abstract excerpt

<p>Response time and other forms of process data are increasingly incorporated into psychometric models. A frequently overlooked challenge is that response time is often treated as exogenous, even though time use plausibly depends on latent ability. This paper investigates how causal relationships among ability, response time, and response accuracy can bias parameter estimation when conditioning directly on observ...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: c7e31202-9826-5f57-a417-3aec31525aa9
DOI: 10.31234/osf.io/hdnrw_v2

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

When Conditioning Causes Bias: Endogeneity in Time-Augmented Item Response ModelsDOI 10.31234/osf.io/hdnrw_v2Read

Sample Size Planning in Item Response Theory: A TutorialSemantic proximity Read

Understanding Ability and Reliability Differences Measured with Count Items: The Distributional Regression Test Model and the Count Latent Regression ModelSemantic proximity Read

Testing measurement invariance in a conditional likelihood framework by considering multiple covariates simultaneouslySemantic proximity Read

A comparison of the predictive performance of continuous and class-based latent trait modelsSemantic proximity Read

Synthetic respondents and the illusion of human dataSemantic proximity Read

Characterizing the Manifest Probability Distributions of Three Latent Trait Models for Accuracy and Response Time.Semantic proximity Read

Methods in Causal Inference Part 3: Measurement Error and External Validity ThreatsSemantic proximity Read

Rational causal induction from events in timeSemantic proximity Read

Rational causal induction from events in timeSemantic proximity Read

Theories and models: What they are, what they are for, and what they are aboutSemantic proximity Read

Theories and models: What they are, what they are for, and what they are aboutSemantic proximity Read

A Causal Framework for Cross-Cultural GeneralizabilitySemantic proximity Read