Title: Estimating slope and level change in single-case designs
Authors: Solanas, Antonio ×
Manolov, Rumen
Onghena, Patrick #
Issue Date: May-2010
Series Title: Behavior Modification vol:34 issue:3 pages:195-218
Abstract: The current study proposes a new procedure for separately estimating slope change and level change between two adjacent phases in single-case designs. The procedure eliminates baseline trend from the whole data series before assessing treatment effectiveness. The steps necessary to obtain the estimates are presented in detail, explained, and illustrated. A simulation study is carried out to explore the bias and precision of the estimators and compare them to an analytical procedure matching the data simulation model. The experimental conditions include 2 data generation models, several degrees of serial dependence, trend, and level and/or slope change. The results suggest that the level and slope change estimates provided by the procedure are unbiased for all levels of serial dependence tested and trend is effectively controlled for. The efficiency of the slope change estimator is acceptable, whereas the variance of the level change estimator may be problematic for highly negatively autocorrelated data series.
ISSN: 0145-4455
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Methodology of Educational Sciences
× corresponding author
# (joint) last author

Files in This Item:
File Description Status SizeFormat
2010 Behavior Modification.pdfMain article Published 382KbAdobe PDFView/Open Request a copy

These files are only available to some KU Leuven Association staff members


All items in Lirias are protected by copyright, with all rights reserved.

© Web of science