This DATSETNAMEreadme.txt file was generated on YYYYMMDD by NAME

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GENERAL INFORMATION
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1. Title of Dataset: Handling_ColoristRacist_Comments

2. Author Information: Meghnaa Tallapragada


  Principal Investigator Contact Information
        Name: Meghnaa Tallapragada	
           Institution: Klein College of Media and Communication, Temple University
           Address: 1701 N 13th St, Rm 221, Weiss Hall, Philadelphia, PA 19122
           Email: tul68477@temple.edu
	   ORCID: 0000-0003-1472-9129

  Associate or Co-investigator Contact Information
        Name:
           Institution:
           Address:
           Email:
	   ORCID:

  Associate or Co-investigator Contact Information
           Name:
           Institution:
           Address:
           Email:
	   ORCID:


3. Date of data collection (single date, range, approximate date): <suggested format YYYYMMDD> 20200908-20200916

4. Geographic location of data collection: <City, State, County, Country and/or GPS Coordinates or bounding boxes> USA

5. Information about funding sources or sponsorship that supported the collection of the data: Researcher’s start-up funds


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SHARING/ACCESS INFORMATION
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1. Licenses/restrictions placed on the data, or limitations of reuse: This dataset is not for public use and needs to be shared with reviewers of a journal who will be reviewing an article that uses this dataset

2. Recommended citation for the data: A doi to share only with the reviewers of the journal

3. Citation for and links to publications that cite or use the data: N/A

4. Links to other publicly accessible locations of the data: N/A

5. Links/relationships to ancillary or related data sets: N/A

6. Was data derived from another source? No
           If yes, list source(s):


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DATA & FILE OVERVIEW
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1. File list (filenames, directory structure (for zipped files) and brief description of all data files, add additional entries as necessary):

   A. Filename:  df.sav      
      Short description: This dataset contains anonymous survey responses on questions about how individuals handle colorist/racist remarks.    


        
   B. Filename: df.csv       
      Short description:  This file is a csv version of File A, a dataset containing anonymous survey responses on questions about how individuals handle colorist/racist remarks.    


        
   C. Filename:  N/A      
      Short description:


2. Relationship between files, if important for context: N/A       



3. Additional related data collected that was not included in the current data package: There is interview data that was separately collected that is reported in the article that is going to be under peer-review


4. Are there multiple versions of the dataset? yes/no
   If yes, list versions: No
           Name of file that was updated: df
                     i. Why was the file updated? 
                ii. When was the file updated?
           Name of file that was updated:
                      i. Why was the file updated?
                    ii. When was the file updated?




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METHODOLOGICAL INFORMATION
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1. Description of methods used for collection/generation of data: <Include links or references to publications or other documentation containing experimental design or protocols used in data collection> An anonymous survey was used to gather this data on Qualtrics on my account

2. Methods for processing the data: <describe how the submitted data were generated from the raw or collected data> The dataset was downloaded from my Qualtrics account

3. Software- or Instrument-specific information needed to interpret the data, including software and hardware version numbers: R was used to analyze the data, but it can also be analyzed using SPSS.

4. Standards and calibration information, if appropriate: N/A

5. Environmental/experimental conditions: Online survey

6. Describe any quality-assurance procedures performed on the data: N/A

7. People involved with sample collection, processing, analysis and/or submission: My students i.e., Kynaat A. Mirza, Dilara Eran, Mikayla J. Renwick, Rjaa Ahmed, Dipanshi Agarwal, and Ana Vucetic were involved in the preparation of the article under review.


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DATA-SPECIFIC INFORMATION FOR: [FILENAME]  (Repeated as necessary)
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<Create sections for each datafile or set, as appropriate>

1. Number of variables: 47

2. Number of cases/rows: 655

   
3. Variable List, defining any abbreviations, units of measure, codes or symbols used: There are 47 variables in the dataset. They are labeled to indicate their variable appropriately.

4. Missing data codes: N/A is used to indicate missing data

5. Specialized formats or other abbreviations used: N/A

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DATA-SPECIFIC INFORMATION FOR CODE: [FILENAME]  (Repeated as necessary) – No code is uploaded
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1. Language used: 

2. Software necessary for editing and running: 

3. Purpose of code: 

4. Overview of operation of code (inputs, outputs, etc.): 

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DATA-SPECIFIC INFORMATION FOR VISUALIZATION: [FILENAME]  (Repeated as necessary) – No visualization is uploaded
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1. Kinds of visualization:

2. Program used to generate visualization:

3. Data file(s) used to generate visualization:

4. Describe the process used to generate the visualization: