Software Open Access

Floodlight Analysis Tool v0.4

Jin Kim

DataCite XML Export

<?xml version='1.0' encoding='utf-8'?>
<resource xmlns:xsi="" xmlns="" xsi:schemaLocation="">
  <identifier identifierType="DOI">10.5281/zenodo.4271475</identifier>
      <creatorName>Jin Kim</creatorName>
    <title>Floodlight Analysis Tool v0.4</title>
    <subject>floodlight analysis</subject>
    <subject>spotlight analysis</subject>
    <date dateType="Issued">2020-11-13</date>
  <resourceType resourceTypeGeneral="Software"/>
    <alternateIdentifier alternateIdentifierType="url"></alternateIdentifier>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.4271474</relatedIdentifier>
    <rights rightsURI="">GNU General Public License v3.0 or later</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
    <description descriptionType="Abstract">&lt;p&gt;&lt;strong&gt;1. How is this program useful?&lt;/strong&gt;&lt;br&gt;
- 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).&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;2. What are requirements to run this program?&lt;/strong&gt;&lt;br&gt;
- This program requires a Windows operating system and a web browser.&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;3. How can users get started with the program?&lt;/strong&gt;&lt;br&gt;
- Download the file, &amp;quot;;quot; and unzip (extract) it by right-clicking and selecting &amp;quot;Extract All&amp;quot;.&lt;br&gt;
- In the folder containing the extracted files and folders, locate the file &amp;quot;Run this File.vbs&amp;quot; and execute it. This will open Floodlight Analysis Tool on a local web browser.&lt;br&gt;
- Click &amp;quot;Browse...&amp;quot; under &amp;quot;Choose a CSV file&amp;quot;, and open the sample data file within the folder containing the extracted files: &amp;quot;sample data spiller et al 2013.csv&amp;quot;.&lt;br&gt;
- Set variables appropriately, i.e., &amp;quot;candies&amp;quot; as the dependent variable, &amp;quot;large_quant_model&amp;quot; as the independent variable, and &amp;quot;bmi&amp;quot; as the moderating variable.&lt;br&gt;
- Click the &amp;quot;Plot it&amp;quot; button on the bottom right.&lt;br&gt;
- Adjust the plot by playing around with the plotting options.&lt;br&gt;
- 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 &lt;strong&gt;independent variable should be coded as 0 or 1&lt;/strong&gt;, and both the dependent and moderating variables &lt;strong&gt;must be numbers&lt;/strong&gt; rather than strings).&lt;/p&gt;</description>
All versions This version
Views 8383
Downloads 55
Data volume 691.6 MB691.6 MB
Unique views 6363
Unique downloads 55


Cite as