Content deleted Content added
No edit summary |
No edit summary |
||
Line 1:
The '''Semantic Feature Comparison Model''' is a theory pertaining to the representation of semantic relations in memory. <ref name=Smith>{{cite journal|last=Smith|first=Edward E.|coauthors=Shoben, Edward J.; Rips, Lance J.|title=Structure and process in semantic memory: A featural model for semantic decisions|journal=Psychological Review|date=May 1974|volume=81|issue=3|pages=214-241|pmid=615948401|url=http://search.proquest.com.proxy1.lib.uwo.ca:2048/psycinfo/docview/615948401/135015D1DCE32C21F9B/2?accountid=15115|accessdate=20 February 2012}}</ref> The Sentence Verification task is used in which two nouns, a subject and a predicate, are presented and participants are required to make a semantic decision about them in the form of "An S is a P" verification.<ref name=Collins>{{cite journal|last=Collins|first=Allan M.|coauthors=Quillian, M. Ross.|title=Retrieval Time from Semantic Memory|journal=Journal of Verbal Learning and Verbal Behaviour|year=1969|volume=8|issue=2|pages=240-247|doi=10.1016/S0022-5371(69)80069-1|pmid=615603750|url=https://www-lib-uwo-ca.proxy1.lib.uwo.ca:2443/cgi-bin/ezpauthn.cgi/docview/615603750?accountid=15115|accessdate=11 March 2012}}</ref> The results of the Sentence Verification task suggest that the speed of verification is dependent on the semantic distance between the subject and predicate. <ref name=Rips>{{cite journal|last=Rips|first=Lance, J.|coauthors=Shoben, Edward J,; Smith, Edward E.|title=Semantic Distance and the Verification of Semantic Relations|journal=Journal of Verbal Learning and Verbal Behavior|year=1973|volume=12|issue=1|pages=1-20|doi=10.1016/S0022-5371(73)80056-8|pmid=615887882|url=https://www-lib-uwo-ca.proxy1.lib.uwo.ca:2443/cgi-bin/ezpauthn.cgi/docview/615887882?accountid=15115|accessdate=11 March 2012}}</ref>
Semantic Feature Comparison Model is used “to derive predictions about categorization times in a situation where a subject must rapidly decide whether a test item is a member of a particular target category” (Smith et al, 1974, p. 215).
When pressed with time, how do we make judgments and place items or events in particular categories? That is what the model tries to answer. As such, in this semantic model, there is an assumption that certain occurrences are categorized using its features or attributes of the two subjects that represent the part and the group. For example, which is often used to explain this model, the statement a ‘robin is a bird’. The meaning of the words robin and bird are stored in the memory by virtue of a list of features which can be used to ultimately define their categories, although the extent of their association with a particular category varies.<br />
'''History:'''
This model was conceptualized by Edward Smith, Edward Shoben and Lance Rips in 1974 after they derived various observations from semantic verification experiments conducted at the time. The task is simple: respondents merely have to answer ‘true’ or ‘false’ to given sentences. Out of these experiments, they observed that people respond faster when
# (1) statements are true
# (2) nouns are members of smaller categories
# (3) items are ‘typical’ or commonly associated with the category (also called prototypes)
# (4) items are primed by a similar item previously given (University of Alaska Anchorage, n.d.)
Such as previous statement ‘eagle is a bird’ and next statement ‘robin is a bird’. In the latter item, respondents will respond faster to the latter statement since the category bird has been primed. So, based on the previous observations, the proponents were able to come up with the Semantic Feature Comparison Model.
The main features of the model, as discussed by Smith et al (1974), are the defining features and the characteristic features. Defining features refer to the characteristics that are essential elements of the category, the non-negotiables, so to speak. For example, the ‘bird’ category includes such defining features as ‘they have wings,’ ‘feathers,’ ‘they lay eggs,’ etc. Meantime, characteristic features refer to the elements usually found or inherent to category members but are not found in all, or non-essentials. For example, birds ‘fly,’ – that is characteristic because while most birds fly, there are some who cannot.
| |||