What question did this study set out to answer?

The presentation aims to clarify methods for identifying and managing measurement errors in survey data.

March 21, 2026Open Access

Addressing Measurement Errors in Survey Data Slide deck

Key Points

The presentation aims to clarify methods for identifying and managing measurement errors in survey data.
Discusses core concepts of validity and reliability
Explores estimation approaches for measurement errors
Covers tools for assessing measurement quality before data collection
Increased understanding of measurement errors
Heightened awareness of quantitative and qualitative approaches
Introduction to Survey Quality Predictor tool

Abstract

This presentation focuses on the methods available to quantify and address measurement errors, ensuring that survey data accurately reflects the intended concepts. The section provides core concepts of validity, reliability, and measurement quality, explores estimation approaches of specification and measurement errors (validity and reliability estimation, Multi-Trait Multi-Method and Hidden Markov Models) and covers tools for assessing measurement quality before data collection begins (Survey Quality Predictor (SQP)). This presentation is the fourth part of a set of presentations on the topic of "Indicators & Metrics of Data Quality". Presentation available after free registration: https://elearning.gesis.org/course/section.php?id=1212#module-3199

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Cite This Study

Oriol Bosch-Jover (Wed,) studied this question.

synapsesocial.com/papers/69be36766e48c4981c67556f https://doi.org/https://doi.org/10.5281/zenodo.18935880

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