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ml_measurement_error_overleaf/appendix.tex
2023-02-23 18:17:52 +00:00

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% I've gotten advice to make this as general as possible to attract the widest possible audience.
\title{Appendices for: What to do about prediction errors in automated content analysis}
\shorttitle{Appendices: Prediction errors in automated content analysis}
\authorsnames[1,2,3]{Nathan TeBlunthuis, Valerie Hase, Chung-hong Chan}
\authorsaffiliations{{Northwestern University}, {LMU Munich}, {GESIS - Leibniz-Institut für Sozialwissenschaften}}
\leftheader{TeBlunthuis, Hase \& Chan}
\keywords{
Content Analysis; Machine Learning; Classification Error; Attenuation Bias; Simulation; Computational Methods; Big Data; AI;
}
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\abstract{}
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\begin{document}
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\section{Additional plots from Simulations 1 and 2}
\label{appendix:main.sim.plots}
\begin{figure}
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\caption{Estimates of $B_z$ in multivariate regression with $X$ measured using machine learning and model accuracy independent of $X$, $Y$, and $Z$. All methods obtain precise and accurate estimates given sufficient validation data.}
\end{figure}
\end{document}