scholarly journals Using automated controlled rearing to explore the origins of object permanence

2019 ◽  
Vol 22 (3) ◽  
Author(s):  
Aditya Prasad ◽  
Samantha M. W. Wood ◽  
Justin N. Wood
2020 ◽  
Vol 43 ◽  
Author(s):  
Jeremy Trevelyan Burman

Abstract The authors’ arguments reflect the dominant traditions of American Psychology. In doing so, however, they miss relevant insights omitted during the original importation (translation and popularization) of the foreign sources that informed the theories they built upon. Of particular relevance here are Piaget's last studies. These are presented to unpack the meaning of “object permanence” as a kind of representation.


2010 ◽  
Author(s):  
Holly C. Miller ◽  
Kristina L. Pattison ◽  
Rebecca M. Rayburnreeves ◽  
Thomas R. Zentall
Keyword(s):  

2001 ◽  
Author(s):  
Julie Neiworth ◽  
Eric Steinmark ◽  
Catherine Dehart ◽  
Frances Steely

1975 ◽  
Vol 46 (1) ◽  
pp. 149 ◽  
Author(s):  
Judith A. Kramer ◽  
Kennedy T. Hill ◽  
Leslie B. Cohen

Author(s):  
Suzanne Macari ◽  
Ruth Eren ◽  
Louise Spear-Swerling ◽  
John T. Danial ◽  
Lawrence David Scahill ◽  
...  
Keyword(s):  

2019 ◽  
Author(s):  
Samantha Wood ◽  
Justin Wood

The accuracy of science depends on the precision of its methods. When fields produce precise measurements, the scientific method can generate remarkable gains in knowledge. When fields produce noisy measurements, however, the scientific method is not guaranteed to work—in fact, noisy measurements are now regarded as a leading cause of the replication crisis in psychology. Scientists should therefore strive to improve the precision of their methods, especially in fields with noisy measurements. Here, we show that automation can reduce measurement error by ~60% in one domain of developmental psychology: controlled-rearing studies of newborn chicks. Automated studies produce measurements that are 3-4 times more precise than non-automated studies and produce effect sizes that are 3-4 times larger than non-automated studies. Automation also eliminates experimenter bias and allows replications to be performed quickly and easily. We suggest that automation can be a powerful tool for improving measurement precision, producing high powered experiments, and combating the replication crisis.


2009 ◽  
Vol 123 (3) ◽  
pp. 295-303 ◽  
Author(s):  
Lucie H. Salwiczek ◽  
Nathan J. Emery ◽  
Barney Schlinger ◽  
Nicola S. Clayton

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