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Article
JSWE submission suggestions for statistical methods
Journal of Social Work Education (2001)
  • Aron Shlonsky, University of California - Berkeley
  • Amy C D’Andrade, San Jose State University
  • M. Alan Brookhart, University of California - Berkeley
Abstract
The information technology revolution over the last 15 years has made available to researchers huge and complex administrative databases and an ever-growing arsenal of computer-intensive statistical procedures. Although these tools and data are becoming width available and easy to use, it is critical to understand both the content of the data and the capability and limitations of the statistical tools employed in order to maintain the quality of social work research. Model specification refers to the selection of variables that are included in an analysis. Variables may also be included in a statistical model if they are thought to by effect modifiers. Most statistical models and tests make assumptions about the generation process under study. Even the statistical package used should be noted since there are sometimes differences in how these programs work and in the output they produce. It is the opinion of the statistical reviewers that developing guidelines for good practice in empirical research is more relevant now than ever.
Keywords
  • JSWE,
  • statistical methods
Disciplines
Publication Date
2001
DOI
10.1080/10437797.2002.10779079
Publisher Statement
SJSU users: use the following link to login and access the article via SJSU databases.
Citation Information
Aron Shlonsky, Amy C D’Andrade and M. Alan Brookhart. "JSWE submission suggestions for statistical methods" Journal of Social Work Education Vol. 38 Iss. 1 (2001) p. 5 - 13 ISSN: 1043-7797
Available at: http://works.bepress.com/amy_dandrade/9/