Taxometric analyses in psychological research and in classification of mental disorders Cover Image

Taksonometrijske procedure u istraživanjima psiholoških fenomena i klasifikaciji mentalnih poremećaja
Taxometric analyses in psychological research and in classification of mental disorders

Author(s): Milan Dragović
Subject(s): Clinical psychology, Methodology and research technology, Health and medicine and law
Published by: Društvo psihologa Srbije
Keywords: taxometric analyses; taxon; classification; schizophrenia;

Summary/Abstract: The issue of whether manifest psychological variables comprise a latent taxonic or dimensional structure is essential to the contemporary psychology and psychiatry. Fortunately, this issue can be adequately addressed by using several taxometric procedures, all developed over the last few decades. This paper describes five of the most commonly used analyses, as follows: Mean-Above-Mean-Below-ACut (MAMBAC), Maximum Covariance (MAXCOV), Maximum Eigen-Value, (MAXEIG), Latent Mode (L-Mode), and Maximum Slope (MAXSLOPE). In addition, this paper briefly outlines Paul Meehl’s diathesis-stress model of schizophrenia and highlights the practical importance of taxometric procedures in both contemporary psychology and in the classification of psychiatric disorders.

  • Issue Year: 39/2006
  • Issue No: 4
  • Page Range: 439-457
  • Page Count: 19
  • Language: Serbian