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Beaton, Albert E.; Johnson, Eugene G. – 1990
When the Educational Testing Service became the administrator of the National Assessment of Educational Progress (NAEP) in 1983, it introduced scales based on item response theory (IRT) as a way of presenting results of the assessment to the general public. Some properties of the scales and their uses are discussed. Initial attempts at presenting…
Descriptors: Academic Achievement, Data Interpretation, Educational Assessment, Elementary Secondary Education
Congress of the U.S., Washington, DC. Congressional Budget Office. – 1987
This report analyzes possible causes of current trends in educational achievement and discusses implications for policy. It uses data described in the publication "Trends in Educational Achievement," a Congressional Budget Office study released in April 1986, which assessed data about trends in test scores. This report begins with a…
Descriptors: Academic Achievement, Achievement Gains, Achievement Rating, Achievement Tests

Schmoker, Mike – Educational Leadership, 2003
Calls for simplicity when presenting data on student achievement. Data should help teachers improve teaching and learning, and focus on specific goals such as determining how many students are succeeding in a subject and, within that subject, what are the areas of strength or weakness. (Contains 22 references.) (WFA)
Descriptors: Academic Achievement, Data Analysis, Data Collection, Data Interpretation
Thompson, Bruce – 1994
Too few researchers understand what statistical significance testing does and does not do, and consequently their results are misinterpreted. This Digest explains the concept of statistical significance testing and discusses the meaning of probabilities, the concept of statistical significance, arguments against significance testing,…
Descriptors: Data Analysis, Data Interpretation, Decision Making, Effect Size