Normative versus ipsative configural frequency analysis in personality research
Köhler T, Stemmler M (1997)
Publication Type: Journal article
Publication year: 1997
Journal
Publisher: Wiley
Book Volume: 11
Pages Range: 69-80
Journal Issue: 1
DOI: 10.1002/(SICI)1099-0984(199703)11:1<69::AID-PER277>3.0.CO;2-G
Abstract
Configural frequency analysis (CFA) tests whether certain individual patterns in different variables are observed more frequently in a sample than expected by chance. In normative CFA, these patterns are derived from the S's specific position in relation to sample characteristics such as the median or the mean. In ipsative CFA, patterns are defined within an individual reference system, e.g., relative to the S's median of different variable scores. Normative CFA examines dimensionality of scales and is comparable to factor analysis in this respect. Ipsative CFA rather yields information about location of scores in different variables, in a similar way to ANOVA or Friedman testing. However, both normative and ipsative CFA may supply information not obtainable by means of the aforementioned methods. This is illustrated in a reanalysis of data in 4 scales of an anxiety inventory.
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APA:
Köhler, T., & Stemmler, M. (1997). Normative versus ipsative configural frequency analysis in personality research. European Journal of Personality, 11(1), 69-80. https://doi.org/10.1002/(SICI)1099-0984(199703)11:1<69::AID-PER277>3.0.CO;2-G
MLA:
Köhler, Thomas, and Mark Stemmler. "Normative versus ipsative configural frequency analysis in personality research." European Journal of Personality 11.1 (1997): 69-80.
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