TY  - JOUR
PY  - 2018//
TI  - Dimensional latent structure of early disruptive behavior disorders: a taxometric analysis in preschoolers
JO  - Journal of abnormal child psychology
A1  - Kliem, Sören
A1  - Heinrichs, Nina
A1  - Lohmann, Anna
A1  - Bussing, Regina
A1  - Schwarzer, Gudrun
A1  - Briegel, Wolfgang
SP  - 1385
EP  - 1394
VL  - 46
IS  - 7
N2  - Although disruptive behavior disorders (DBDs) are used as a distinct categorical diagnosis in clinical practice, they have repeatedly been described as having a dimensional structure in taxometric analyses. In the current study the authors analyzed the latent status of disruptive behaviors (DB) in a large sample (N = 2,808) of German preschool children (2-6 years old, mean age 53.7 months, SD = 13.5, 48.4% girls). The Eyberg Child Behavior Inventory (ECBI) as well as the Strengths and Difficulties Questionnaire (SDQ) were used to compile indicators of the DB core dimensions (Temper Loss, Aggression, Noncompliance, and Low Concern for others). Three widely used taxometric methods (a) MAXEIG, (b) MAMBAC, and (c) L-Mode were applied. Simulation data were created to evaluate the Comparison Curve Fit Index values (CCFIs), which were below 0.45, supporting a dimensional solution. Hence, in the current study the latent structure of DB in preschoolers encompassed differences in degree rather than kind. Researchers and practitioners should be mindful of the dimensional latent status of DB in theory building, assessment, classification, and labeling.<p />  <p>Language: en</p>
LA  - en
SN  - 0091-0627
UR  - http://dx.doi.org/10.1007/s10802-017-0383-5
ID  - ref1
ER  -