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    <title>Conjoint Experiments on Handbook</title>
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    <description>Recent content in Conjoint Experiments on Handbook</description>
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      <title>Conjoint Overview</title>
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      <pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate>
      
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      <description>Introduction Varieties of Conjoint Analyses  CBC (Choice-Based Conjoint) ACBC (Adaptive Choice-Based Conjoint) MBC (Menu-Based Choice)   Key Conjoint Analysis Terms How Many Attrbutes, Levels, Concepts, &amp;amp; Sets are Ideal? How Many Responses are Needed? Conjoint FAQ  Who invented conjoint analysis? Is conjoint analysis qualitative or quantitative? Why is conjoint analysis used? What is choice-based analysis? What is adaptive conjoint analysis? What is discrete choice analysis?</description>
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      <title>Conjoint Tutorial</title>
      <link>https://handbook.gradientmetrics.com/products/conjoint-experiments/conjoint-tutorial/</link>
      <pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate>
      
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      <description>Intro  Planning Design Design API Design Checks Qualtrics Programming  Step 1: Create Embedded Data Fields Step 2: Import Design File Step 3: Program Loop &amp;amp; Merge Step 4: Program the Choice Task   Checking with MTurk and Soft Launch Modeling Analyses Plotting Synthesis FAQ       Intro Every Conjoint analysis consists of several steps. To assure that the projects are going smoothly, we should be aware of the crucial parts of each step.</description>
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      <title>Analyzing Conjoints</title>
      <link>https://handbook.gradientmetrics.com/products/conjoint-experiments/analyzing-conjoint/</link>
      <pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate>
      
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      <description>Introduction Conjoint Estimation Methodologies  Aggregate logit Latent Class CBC Hierarchical Bayes Further Metholody Learning   Conjoint Analysis Workflow at Gradient  Using g6tr.cjt  Reading conjoint data Asserting the data Tidying the data Modeling the data Extracting model statistics         Introduction After finishing data collection, the data needs to be modeled and subsequently analyzed. While there are many ways (e.</description>
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      <title>Conjoint Simulator</title>
      <link>https://handbook.gradientmetrics.com/products/conjoint-experiments/conjoint-simulator/</link>
      <pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate>
      
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      <description>Introduction How does a Market Simulator work? Creating a Market Simulator at Gradient  Getting Started Uploading your data Changing the Layout and other Aesthetics Updating Control Boxes Updating Market Share Calculation Adding Filters Adding Weights Using Custom R Code Adding Conditionality Publishing your Dashboard Adding Users &amp;amp; Access Restrictions       Introduction The market simulator is usually considered the most important tool resulting from a conjoint analysis project.</description>
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