--- title: "Correct Measurement-Error Bias" output: rmarkdown::html_vignette description: > Why you should identify and correct measurement error bias in conjoint analysis vignette: > %\VignetteIndexEntry{Correct Measurement-Error Bias} %\VignetteEngine{knitr::rmarkdown} %\VignetteEncoding{UTF-8} --- ## **Why Correct for Measurement Error?** - In conjoint experiments, **measurement error** is pervasive but often overlooked. - Respondents may: - Misread attributes - Misunderstand levels - Click randomly - Forget information across tasks - As a result, respondents' recorded choices often refelect random noise. - This **random error** leads to attenuate **true prefernces** (or true effects). --- ## **The Consequences of Ignoring Measurement Error** | Without Correction | With Correction | |:--------------------------------|:----------------------------------| | Underestimates true preferences | Provides more accurate preferences | | Falsely suggests indifference | Recovers meaningful trade-offs | | Misleads theory building and application | Provides accurate, unbiased insights | --- ## **How projoint Corrects for Measurement Error** - **Estimates the intra-respondent reliability (IRR)** based on responses to a repeated task - **Adjusts marginal means (MMs) and average marginal component effects (AMCEs)** accordingly - **Provides corrected estimates** that better reflect respondents’ true preferences - Corrected estimates reveal the true magnitude of effects, **improving both theoretical and applied inferences** in political science, marketing, and other fields. ✅ No additional respondent burden (just one repeated task) ✅ Minimal survey design changes ✅ Massive improvements in accuracy --- ## **Key Takeaway** > 🧠 Measurement error systematically *biases* results. > > 🔥 Correcting for measurement error reveals true preferences, sharper trade-offs, and prevents misleading inferences. --- ## 📚 Key Reference - **Clayton, Horiuchi, Kaufman, King, Komisarchik (Forthcoming).** "Correcting Measurement Error Bias in Conjoint Survey Experiments." _Forthcoming, American Journal of Political Science._ [Pre-Print Available](https://gking.harvard.edu/conjointE) ---