Statistical inference in personality research

Steven Schwartz*, Len Dalgleish

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)


Statistical significance, by itself, is not a sufficient condition for claiming that a hypothesis has been supported. Constructive replications are considerably more important. Unfortunately, classical (Fisherian) statistics are not easily adapted to sequential research strategies; their focus is the single experiment. For this reason, statistically significant results may be meaningless while a particular sequence of nonsignificant results may be quite important. Advice on how to overcome some limitations of classical statistical procedures is given, along with a compendium of "do's and don't's.".

Original languageEnglish
Pages (from-to)290-302
Number of pages13
JournalJournal of Research in Personality
Issue number3
Publication statusPublished - 1982
Externally publishedYes


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