What Can the Configuration-error Paradigm Tell Us?

Author(s):  
Ranxiao Frances Wang
Keyword(s):  
1973 ◽  
Vol 16 (1) ◽  
pp. 5-26
Author(s):  
Richard R. Clayton

2001 ◽  
Vol 24 (1) ◽  
pp. 68-70
Author(s):  
Philippe Vindras ◽  
Edouard Gentaz

We discuss the assumptions put forward by Thelen et al. about motor planning processes. We examine the results of an experiment inspired by the authors' contention that the motor plans of both infants and adults are continuous and graded. We wondered whether adults, in an adapted version of the A-not-B error paradigm, would point between the A and B targets, as in some degraded conditions of pointing (Ghez et al. 1990), or would make A-not-B errors. Unexpectedly, we observed that adults tended to shift the direction of their pointings to B away from A, and did not make any A-not-B errors.


2015 ◽  
Vol 15 (1) ◽  
pp. 39-59 ◽  
Author(s):  
Louisa Ha ◽  
Xiao Hu ◽  
Ling Fang ◽  
Sarah Henize ◽  
Sanghee Park ◽  
...  

2007 ◽  
Vol 39 (4) ◽  
pp. 920-925 ◽  
Author(s):  
Juliana K. Leding ◽  
James Michael Lampinen ◽  
Norman W. Edwards ◽  
Timothy N. Odegard

Dyslexia ◽  
2018 ◽  
Vol 25 (1) ◽  
pp. 38-56
Author(s):  
Inés Antón-Méndez ◽  
Fernando Cuetos ◽  
Paz Suárez-Coalla

2018 ◽  
Vol 37 (2) ◽  
pp. 196-213 ◽  
Author(s):  
Colleen A. McClain ◽  
Mick P. Couper ◽  
Andrew L. Hupp ◽  
Florian Keusch ◽  
Gregg Peterson ◽  
...  

This article reviews the existing literature on the collection of paradata in web surveys and extends the research in this area beyond the commonly studied measurement error problem to paradata that can be collected for managing and mitigating other important sources of error. To do so, and in keeping with the nature of paradata as process-oriented, we develop a typology of web survey paradata that incorporates information from all steps in the web survey process. We first define web survey paradata and describe general phases of paradata that run parallel to the steps in fielding a typical web survey. Within each phase, we enumerate several errors within the total survey error paradigm that can be examined with paradata, discussing case studies and motivating examples that illustrate innovative uses of paradata across the web survey process. We conclude with a discussion of open questions and opportunities for further work in this area. Overall, we develop this typology keeping technological advancements at the center of our discussion, but with flexibility to continuously incorporate new developments and trends in both technology and study design. Our typology encourages researchers to think about paradata as tools that can be used to investigate a broader range of outcomes than previously studied.


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