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# Quant UX 2023 Workshop:<br>An Open Source Framework for<br>Choice Based Conjoint Experiments in R

John Paul Helveston<br>June 15, 2023<br>George Washington University

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### Downloads

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<a href="parts/2023-qux-conf-conjoint.pdf" class="btn-notes"><i class="fas fa-file-pdf"></i> All slides</a>

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<a href="/software.html" class="btn-notes"><i class="fa fa-download"></i> Software</a>

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### Part 1: [Introduction](parts/introduction.qmd)

Introducing an open source workflow for conjoint analysis.

1. What is conjoint analysis?
2. Why {{< fa rproject >}}?
3. High-level overview of open source workflow.

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### Part 2: [Designing surveys](parts/designing-surveys.qmd)

Using the {{< var cbcTools >}} package to design and test conjoint surveys.

1. Design of experiment.
2. Simulating choices.
3. Assessing power.

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### Part 3: [Estimating models}](parts/estimating-models.qmd)

Using the {{< var logitr >}} package to estimate logit models.

1. Mixed logit models.
2. WTP space models.

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### Part 4: [Fielding surveys](parts/fielding-surveys.qmd)

Using the {{< var formr >}} platform to field conjoint surveys online.

1. Using RMarkdown to design a survey.
2. Implementing a choice-based conjoint survey in formr.

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