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 fitsn 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.
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This study was supported by Grant G. 0157.98 from the Fund of Scientific Research.
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Luwel, K., Beem, A.L., Onghena, P. et al. Using segmented linear regression models with unknown change points to analyze strategy shifts in cognitive tasks. Behavior Research Methods, Instruments, & Computers 33, 470–478 (2001). https://doi.org/10.3758/BF03195404
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DOI: https://doi.org/10.3758/BF03195404