IDEAS home Printed from https://ideas.repec.org/c/boc/bocode/s457960.html
 

SUMSCALE: Stata module to generate summated scales

Author

Listed:
  • Mehmet Mehmetoglu

    (Norwegian University of Science and Technology)

Programming Language

Stata

Abstract

sumscale generates new variables by combining the scores of a set of ordinal/dummy variables of an underlying factor/construct. There are two ways in which sumscale combines the scores of a set of ordinal variables/items: 1) take the average and 2) take the sum. The first option is the default of sumscale. The second option can be chosen by adding fsum as shown below. sumscale displays also some descriptive statistics as well as the Cronbach Alpha coefficient of reliability for the newly generated summated scale/s. sumscale allows also for combining the scores of a set of dummy variables. This is simply done by taking the sum of the scores. This option can be chosen by adding dummy. For the resulting variables the program displays the descriptive statistics and the Kuder-Richardson coefficient of reliability.

Suggested Citation

  • Mehmet Mehmetoglu, 2015. "SUMSCALE: Stata module to generate summated scales," Statistical Software Components S457960, Boston College Department of Economics.
    • Handle: RePEc:boc:bocode:s457960
    Note: This module should be installed from within Stata by typing "ssc install sumscale". The module is made available under terms of the GPL v3 (https://www.gnu.org/licenses/gpl-3.0.txt). Windows users should not attempt to download these files with a web browser.
    as

    Download full text from publisher

    File URL: http://fmwww.bc.edu/repec/bocode/s/sumscale.ado
    File Function: program code
    Download Restriction: no
    File URL: http://fmwww.bc.edu/repec/bocode/s/sumscale.sthlp
    File Function: help file
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    scaling; summated scales; Stata;
    All these keywords.

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:boc:bocode:s457960. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Christopher F Baum (email available below). General contact details of provider: https://edirc.repec.org/data/debocus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.