REED gives the user more power and information than the traditional mainframe computer
searches. The format, topics, and categories in the REED database were designed
just for economic education. The user has control over search specifications. Multiple
searches can be conducted as necessary.
The basic purpose of REED is to provide abstracts of most research journal articles
in the field of economic education. REED should provide researchers, administrators,
teachers, grant writers, and other interested parties with the capability of searching
various topics or categories across more than 1000 journal articles in the field
that have been published since 1969, the first year of publication of the
Journal of Economic Education.
There are, however, limitations to or omissions from REED that should be noted by
users of the system.
REED does not contain all articles written in the field of economic education. By
design REED focuses on research articles that have been published in scholarly journals.
Studies reported in books, unpublished papers, occasional reports, newspapers, or
magazines are omitted because the primary outlet for scholarly communication is
the journal article.
Most of the REED articles are quantitative studies or theoretical models. Reviews
or critiques of the research literature or methodology are also included. Selected
essays, which were not quantitative or theoretical but which discussed major topics
such as economic literacy, economic education in other nations, or trends in economic
education, were usually included because of the potential implications for research.
Curriculum articles are omitted unless quantitative evidence is presented to support
the ideas presented in the article on teaching. Curriculum articles would typically
describe a new teaching unit, present an economics lesson, or discuss how an economic
concept should be taught.
The strength of REED that makes it different than other searchable lists, is its
focus on scholarly economic education articles. In addition, the break down of subject
matter into categorized variables that allow a user to find material pertinent to
the research being conducted adds a unique feature to this list. The links at the
bottom of the page are to the lists of categories, subcategories and variables used
in this database. Take some time to familiarize yourself with the variables. This
work will allow you to find articles on the subject matter with the fewest false
There may be errors or omissions in the listed reviews in this database. There may
also be other research articles that might be included. If you have articles that
should be in this database or corrections that should be made, contact us.