Title: Using segmented linear regression models with unknown change points to analyze strategy shifts in cognitive tasks
Authors: Luwel, Koen ×
Beem, A. Leo
Onghena, Patrick
Verschaffel, Lieven #
Issue Date: 2001
Publisher: The Society
Series Title: Behavior Research Methods, Instruments & Computers vol:33 issue:4 pages:470-478
Abstract: Some years ago, Beem (1993, 1995) described a program for fitting two regression lines with an unknown change point (Segcurve). He suggested that such models are useful for the analysis of a variety of phenomena and gave an example of an application to the study of strategy shifts in a mental rotation task. This technique has also proven to be very fruitful for investigating strategy use and strategy shifts in other cognitive tasks. Recently, Beem (1999) developed SegcurvN, which fits n regression lines with (n - 1) unknown change points. In the present article we present this new technique and demonstrate the usefulness of a three-phase segmented linear regression model for the identification of strategies and strategy shifts in cognitive tasks by applying it to data from a numerosity judgment experiment. The advantages and shortcomings of this technique are evaluated.
Description: Afdeling Didactiek. Centrum voor Instructiepsychologie en -technologie. Leuvens Instituut voor onderwijsonderzoek (LIVO) Afdeling Fundamentele en comparatieve pedagogiek en methodologie. Centrum voor Methodologie van het pedagogisch onderzoek.
ISSN: 0743-3808
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Methodology of Educational Sciences
Education and Training
Instructional Psychology and Technology
Research Centre for Educational Research & Development, Campus Brussels (-)
Faculty of Economics and Business (FEB) - miscellaneous
× corresponding author
# (joint) last author

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