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Response Curve Comparison by Pseudo‐Multivariate Two‐Sample Configural Frequency Analysis
Author(s) -
Krebs Harald,
Ising Marcus,
Janke Wilhelm,
Macht Michael,
von Eye Alexander,
Weijers HeinzGerd,
Weyers Peter
Publication year - 1996
Publication title -
biometrical journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.108
H-Index - 63
eISSN - 1521-4036
pISSN - 0323-3847
DOI - 10.1002/bimj.4710380207
Subject(s) - multivariate statistics , multivariate analysis , statistics , habituation , mathematics , sample (material) , audiology , psychology , medicine , chemistry , chromatography
This paper introduces pseudo‐multivariate Configural Frequency Analysis (CFA) for comparison of time series from two independent samples. The method extends application of standard two‐sample CFA, bi‐prediction CFA, and longitudinal CFA. Methods for identification of uni‐discrimination types and bi‐discrimination types are proposed. The pseudo‐multivariate CFA is applied to sets of response curves from two independent samples of rats. The experimental group of rats was exposed to a stressful noise condition. The control group was not exposed to stress. Amount of food intake was measured over five days. Longitudinal discrimination types suggest that, under stress, rats reduce food intake at first, increase intake as habituation to stress increases, and show greater day‐to‐day variability of intake.