TY - JOUR
T1 - Does incidental training increase the prevalence of overall similarity classification?
A re-examination of Kemler Nelson (1984)
AU - Inkster, AB
AU - Milton, FN
AU - Wills, AJ
PY - 2014/8/12
Y1 - 2014/8/12
N2 - Kemler Nelson (1984) reported that incidental training, relative
to intentional training, increased the prevalence of overall
similarity classification, supporting a non-deliberative account
of overall similarity sorting. However, the analysis conducted
by Kemler Nelson (1984) does not adequately distinguish between
usage of an overall similarity classification strategy and
single-attribute strategies. The current study replicates Kemler
Nelson’s (1984) experiment, seeking to test the original conclusions
using a more rigorous analysis. The current study approximates
the original experimental procedure, using almost
identical stimuli and a longer, modified test phase. Results
replicate those found by Kemler Nelson (1984) when the original
analysis is applied; however the model-based analysis suggest
an overall similarity classification strategy is used rarely
and that incidental training increases the prevalence of suboptimal
single-attribute strategies. These results imply that
overall similarity classification may be more deliberative than
previously thought.
AB - Kemler Nelson (1984) reported that incidental training, relative
to intentional training, increased the prevalence of overall
similarity classification, supporting a non-deliberative account
of overall similarity sorting. However, the analysis conducted
by Kemler Nelson (1984) does not adequately distinguish between
usage of an overall similarity classification strategy and
single-attribute strategies. The current study replicates Kemler
Nelson’s (1984) experiment, seeking to test the original conclusions
using a more rigorous analysis. The current study approximates
the original experimental procedure, using almost
identical stimuli and a longer, modified test phase. Results
replicate those found by Kemler Nelson (1984) when the original
analysis is applied; however the model-based analysis suggest
an overall similarity classification strategy is used rarely
and that incidental training increases the prevalence of suboptimal
single-attribute strategies. These results imply that
overall similarity classification may be more deliberative than
previously thought.
M3 - Conference proceedings published in a journal
VL - 0
JO - Proceedings of the 36th Annual Conference of the Cognitive Science Society
JF - Proceedings of the 36th Annual Conference of the Cognitive Science Society
IS - 0
ER -