Measurement

Measurement Bias refers to errors or inaccuracies in the measurement of variables, which can undermine the validity of research outcomes. Causes vary across data types, with


Click here to access the User Code Database that provides application examples of the tools listed below.

AreaMatch

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Assessing Geospatial Linking of Incongruent Units

Resquin

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Assessing Response Quality and Careless Responding in Multi-Item Scales

ScaleArch

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ZIS R-Tutorials: Basic Analysis for Scale Archiving

SubData

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A Python Library for Evaluating LLM Perspective-alignment on Targeted Hate Speech Datasets

Survey Quality Predictor

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A survey quality prediction system for continuous questions used in survey research

TES-D

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Total Error Sheets for Datasets

TextPrep

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Comparing Tools and Workflows for Data Quality in Basic Text Preprocessing with R

TopLing

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Evaluating the Quality of Machine Translation for Multilingual Topic Modeling

ValiText

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A Validation Framework for Text-Based Measures of Social Constructs

tubecleanR

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Processing YouTube comment data in R

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