Several studies have reported differences in categorization strategies among participants: some learn a category by making abstraction across the category members while others use a memorization strategy. Despite the prevalence of these differences, little attention has been paid to investigating what influences some to use an abstraction strategy and others a memorization strategy. The current study had two goals: in a first experiment we investigated whether these differences were stable across time, using the parallel form method often used in psychometric research, and in a second experiment we investigated whether the individual differences in categorization strategy were related to working memory capacity. We used a modelling strategy...
The human capacity for visual categorization is core to how we make sense of the visible world. Alth...
It is sometimes supposed that category learning involves competing explicit and procedural systems, ...
Algorithms for approximate Bayesian inference, such as those based on sampling (i.e., Monte Carlo me...
Working memory can be defined as the ability to hold in mind information in the face of potentially ...
DeCaro et al. [DeCaro, M. S., Thomas, R. D., & Beilock, S. L. (2008). Individual differences in cate...
Previous studies investigating the influence of a working memory load on category learning gained mi...
The appearance of individual differences used to be regarded as noise in psychological experiments, ...
When we learn about the world around us, we not only process what makes items unique, we also notice...
Working memory is strongly involved in human reasoning, abstract thinking and decision making. Past ...
peer reviewedThree experiments investigated the operation of prototypical person categories, which w...
A longstanding debate in the categorization literature concerns representational abstraction. Gener...
Title from first page of PDF file (viewed Oct. 12, 2011)Committee members: Miriam Schustack (chair),...
The question ‘what is working memory capacity?’ can be approached from the individual-differences an...
Young children often perseverate, engaging in previously correct, but no longer appropriate behavior...
Performance in the McGeorge and Burton (1990) digit invariance task was originally thought to be med...
The human capacity for visual categorization is core to how we make sense of the visible world. Alth...
It is sometimes supposed that category learning involves competing explicit and procedural systems, ...
Algorithms for approximate Bayesian inference, such as those based on sampling (i.e., Monte Carlo me...
Working memory can be defined as the ability to hold in mind information in the face of potentially ...
DeCaro et al. [DeCaro, M. S., Thomas, R. D., & Beilock, S. L. (2008). Individual differences in cate...
Previous studies investigating the influence of a working memory load on category learning gained mi...
The appearance of individual differences used to be regarded as noise in psychological experiments, ...
When we learn about the world around us, we not only process what makes items unique, we also notice...
Working memory is strongly involved in human reasoning, abstract thinking and decision making. Past ...
peer reviewedThree experiments investigated the operation of prototypical person categories, which w...
A longstanding debate in the categorization literature concerns representational abstraction. Gener...
Title from first page of PDF file (viewed Oct. 12, 2011)Committee members: Miriam Schustack (chair),...
The question ‘what is working memory capacity?’ can be approached from the individual-differences an...
Young children often perseverate, engaging in previously correct, but no longer appropriate behavior...
Performance in the McGeorge and Burton (1990) digit invariance task was originally thought to be med...
The human capacity for visual categorization is core to how we make sense of the visible world. Alth...
It is sometimes supposed that category learning involves competing explicit and procedural systems, ...
Algorithms for approximate Bayesian inference, such as those based on sampling (i.e., Monte Carlo me...