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Floodlight Analysis Tool v0.4

Jin Kim


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{
  "publisher": "Zenodo", 
  "DOI": "10.5281/zenodo.4271475", 
  "title": "Floodlight Analysis Tool v0.4", 
  "issued": {
    "date-parts": [
      [
        2020, 
        11, 
        13
      ]
    ]
  }, 
  "abstract": "<p><strong>1. How is this program useful?</strong><br>\n- This program helps users conduct floodlight analysis quickly and easily and does not require expertise in coding (e.g., R) or familiarity with statistical analysis programs (e.g., SPSS).</p>\n\n<p><strong>2. What are requirements to run this program?</strong><br>\n- This program requires a Windows operating system and a web browser.</p>\n\n<p><strong>3. How can users get started with the program?</strong><br>\n- Download the file, &quot;floodlight_v_0_4.zip&quot; and unzip (extract) it by right-clicking and selecting &quot;Extract All&quot;.<br>\n- In the folder containing the extracted files and folders, locate the file &quot;Run this File.vbs&quot; and execute it. This will open Floodlight Analysis Tool on a local web browser.<br>\n- Click &quot;Browse...&quot; under &quot;Choose a CSV file&quot;, and open the sample data file within the folder containing the extracted files: &quot;sample data spiller et al 2013.csv&quot;.<br>\n- Set variables appropriately, i.e., &quot;candies&quot; as the dependent variable, &quot;large_quant_model&quot; as the independent variable, and &quot;bmi&quot; as the moderating variable.<br>\n- Click the &quot;Plot it&quot; button on the bottom right.<br>\n- Adjust the plot by playing around with the plotting options.<br>\n- Upload your own data in the CSV file format. Make sure your data are in the same format as the sample data file (i.e., the <strong>independent variable should be coded as 0 or 1</strong>, and both the dependent and moderating variables <strong>must be numbers</strong> rather than strings).</p>", 
  "author": [
    {
      "family": "Jin Kim"
    }
  ], 
  "version": "0.4", 
  "type": "article", 
  "id": "4271475"
}
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