The file drawer problem and tolerance for null results.

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For any given research area, one cannot tell how many studies have been conducted but never reported. The extreme view of the “file drawer problem” is that journals are filled with the 5% of the studies that show Type I errors, while the file drawers are filled with the 95% of the studies that show nonsignificant results. Quantitative procedures for computing the tolerance for filed and future null results are reported and illustrated, and the implications are discussed.

Link to resource:

Type of resources: Primary Source, Reading, Paper

Education level(s): College / Upper Division (Undergraduates)

Primary user(s): Student

Subject area(s): Applied Science, Social Science

Language(s): English