Cleaning Data

Every journey begins with a single step. Before you can become a master researcher providing thoughtful information analysis and meaningful conclusions, you must prepare your workspace and clean your tools. Without the crucial steps of organizing the data, preparing your software for analysis, and sharpening your quantitative skills, your research question will not be answered.

For this Discussion, you will learn how to prepare the information you have collected, removing corrupted or missing data in order to begin studying it. You will use the dataset provided to practice identifying challenges that arise during the cleaning process before presenting your findings to the class.

Review and use the Cleaning and Management Example dataset and Cleaning and Management Example Dataset Codebook as you review the Cleaning Data Sets Job Aid found in the Learning Resources.
Post an explanation of the challenges you might encounter in your experience through the cleaning process and how you might remedy those challenges. Then, explain why it is important to clean and manage data, and why this would be important to generalizability, confidence in accuracy of the results, or psychometric properties.

Answer preview for Cleaning Data

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