APS
2022 APS Annual Convention
Advances in Estimating and Accounting for Measurement Error
Subject Area: Methodology
Measurement error pervades human-subjects research involving latent psychological constructs. Methods to quantify/correct for measurement error’s attenuating effects date to early 20th-century classical test theory, whereas modern latent-variable models explicitly account for measurement error. This symposium highlights recent developments that surpass textbook cases of quantifying and accounting for measurement error.
Chairs & Discussants
- Terrence JorgensenChair
University of Amsterdam
Presentations
- A Taxonomy of Reliability Indices When Measuring Cluster-Level ConstructsTerrence Jorgensen
- Does Response Format Matter? the Role of Filter Questions in Self-Reported Symptom FrequenciesBrooke Magnus
- Mixture Modeling: Best Practices When the Latent Variable Is CategoricalMauricio Garnier-Villarreal