Analyzing data to examine one or more hypotheses and address the research problem or question is often considered the heart of any investigation. In most educational research conducted today the analysis is a manual operation.
However, with the rise of research supported through competitive awards, researchers are becoming more and more accustomed to being required to specify an analysis strategy and approach at the outset of an investigation. Such advance specifications for analyses can become the basis for prescribing and automating the analyses in many investigations.
By drawing on current best practices for data analysis and by assembling and mining a corpus of research proposals that contain advance plans for analysis, it should be possible to automate the analysis phase of the research process. While advance specification and automation might not be possible in all cases, much of the analysis currently being done follows well established procedures ripe for automation.
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