Configural frequency analysis of dependent samples for intra-patient treatment comparisons
Stemmler M, Hammond S (1997)
Publication Type: Journal article
Publication year: 1997
Journal
Publisher: Slovak Academic Press
Book Volume: 39
Pages Range: 167-175
Journal Issue: 2
Abstract
The dependent sample Configural Frequency Analysis (CFA; cf. A. von Eye, 1990) a nonparametrical test, is suggested as an alternative to the parametrical t-test for dependent samples. The dependent sample CFA may be used, for example, for detecting intra-patient treatment effects in pre-post or cross-over designs. Contrary to the t-test the dependent sample CFA can be applied to nominal (i.e., binary), ordinal, or continuous response variables. Furthermore, the proposed test may be generalized to two and more response variables. Significant test results or identified cells may be interpreted as discrimination types. Discrimination types are patterns of discrete or polychotomous response variables which contain frequencies occurring more often than expected under a null hypothesis of no treatment effects. The test for discrimination types follows the rationale of the W. Lehmacher (1980) simultaneous sign test which compares row with column marginals in a square contingency table. The dependent sample CFA is illustrated using examples from pharmacological research.
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APA:
Stemmler, M., & Hammond, S. (1997). Configural frequency analysis of dependent samples for intra-patient treatment comparisons. Studia Psychologica, 39(2), 167-175.
MLA:
Stemmler, Mark, and Sean Hammond. "Configural frequency analysis of dependent samples for intra-patient treatment comparisons." Studia Psychologica 39.2 (1997): 167-175.
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