measurement error
Definition
Measurement error refers to the discrepancy between observed values and true values in psychological measurement. In network psychometric models, measurement error is rarely explicitly modeled, yet its presence can result in inflated edge weights and an overestimation of network density. Failing to account for measurement error can lead to distortions in the model's structure.
Sources: Henry & Ye (2024)
Related Terms
Applications
Measurement Error and Omitted Variables
Measurement error and omitted variables operate as related sources of model misspecification in network psychometric models. The robustness of network estimation methods such as EBICglasso and LoGo-TMFG to these threats varies, with EBICglasso demonstrating greater overall robustness to the negative impacts of both omitted variables and measurement error.
Sources: Henry & Ye (2024)
Measurement Error and Network Density
Measurement error directly affects the estimated density of psychological networks by inflating edge weights and causing an overestimation of how interconnected the network actually is.
Sources: Henry & Ye (2024)
