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MRDUM: Stata module to create dummy variables and summary table for multiple response data

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
Lee E. Sieswerda () (Thunder Bay District Health Unit)

Additional information is available for the following registered author(s):

Abstract

mrdum searches across varlist for integer codes and creates corresponding dummy variables. Each dummy is equal to 1 if the integer code was found anywhere in varlist, 0 if not, and missing if all of varlist is missing. It also displays a table summarizing the results. This program was created specifically to deal with survey questions wherein the respondent can give multiple responses to a single question (e.g. "Check all that apply"). Sometimes these data are coded as a series of variables with the responses entered in the order that the respondent indicated them. Often, however, it is useful to have instead a set of dummy variables that indicate whether the respondent indicated a particular response regardless of the order in which it was indicated.

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File URL: http://fmwww.bc.edu/repec/bocode/m/mrdum.ado
File Format: text/plain
File Function: program code
Download Restriction: no
File URL: http://fmwww.bc.edu/repec/bocode/m/mrdum.hlp
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File Function: help file
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Publisher Info
Software component provided by Boston College Department of Economics in its series Statistical Software Components with number S429201.

Download reference. The following formats are available: HTML, plain text, BibTeX, RIS (EndNote), ReDIF
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Programming language: Stata
Requires: Stata version 7.0
Date of creation: 28 Oct 2002
Date of revision:
Handle: RePEc:boc:bocode:s429201

Note: This module may be installed from within Stata by typing "ssc install mrdum". Windows users should not attempt to download these files with a web browser.
Contact details of provider:
Postal: Boston College, 140 Commonwealth Avenue, Chestnut Hill MA 02467 USA
Phone: 617-552-3670
Fax: +1-617-552-2308
Email:
Web page: http://fmwww.bc.edu/EC/
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Web: http://repec.org/docs/ssc.php

For technical questions regarding this item, or to correct its listing, contact: (Christopher F Baum).

Related research
Keywords: questionnaires dummy variables responses

Statistics
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This page was last updated on 2008-10-11.


This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.