What is F2 Good For?

Kenneth I. Forster*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

7 Citations (Scopus)


It is commonly assumed that a significant item analysis (F2) provides an assurance that the treatment effect is generalizable to the population of items from which the items were drawn, which in turn implies that the effect is reasonably general across items. The latter implication is shown to be false, and it is argued that a new test of generality rather than generalizability is required. Comments from a number of prominent researchers in the field are provided on a separate website.

Original languageEnglish
Pages (from-to)389
Number of pages1
JournalJournal of Memory and Language
Issue number4
Publication statusPublished - Nov 2008
Externally publishedYes


  • F2
  • Generality
  • Items analyses
  • Statistics


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