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Semantic Priming - Science topic
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I am looking for analysis of questions using semantic primes and NSM theory.
Dear Colleagues,
Hopefully this is quite a simple question:
I'm going to be running some masked semantic congruence priming studies, and am looking for suitable stimuli. Put simply, semantic congruence studies typically show that a target word (e.g., HAWK) is semantically categorised (e.g., Is this an animal?) faster when preceded by a category-congruent/semantically-related prime word (e.g., eagle) compared to when preceded by a semantically unrelated word (e.g., knee).
The first thing I want to do is to replicate the classic finding using a larger set of stimuli. I will need at least 90 target words, each with a semantically-related prime-word. In line with previous studies (e.g., Quinn & Kinoshita, 2008), a lot of my stimuli will be drawn from McRae et al.'s set of feature norms (which is particularly useful for identifying members of the 'animal' category that have high semantic feature overlap; e.g., cat-dog; sheep-goat; etc.). But to reach 90 targets (each with a semantically similar prime), I will probably need to find a similar, but more dense database.
Ideally, I'm after an easy userface where I can simply input a target word (e.g., hand) that belongs to a category I'm using for the categorisation task (e.g., is this a body-part?) and it provides a list of the most semantically similar words from that category (e.g., if the category is 'body parts' it might output 'head, ankle, shin, foot, etc.). I'm aware there are a few solutions out there - whether it be measures semantic feature overlap or co-occurrence (e.g., wordnet, COALS, LSA, HAL) but I'd favour something with an interface that is easy to use, or even just a large datafile similar to McRae's 2005 set.
Thanks a lot!
Ryan
Quinn, W.M. and Kinoshita, S. (2008) Congruence effect in semantic categorization with masked primes with narrow and broad categories. Journal of Memory and Language, 58, 286–306.
McRae, K., Cree, G. S., Seidenberg, M. S., & McNorgan, C. (2005). Semantic feature production norms for a large set of living and nonliving things. Behavior Research Methods, Instruments, and Computers, 37, 547–559.
I have found usage examples in formal language-related papers and in spatial knowledge acquisition (although different set of prime was used) but I wonder if there were some ideas for e.g. language acquisition through dialog that uses only the simplest concepts. How would you use the primes?
Concerning research on whether background images on a website work as a prime, I am looking for sources on whether a longer exposure time to a prime leads to stronger priming effects or not. If so, does the effect form an inverted u-shape as time passes?
Could you, please, (a) answer the questions above, (b) provide sources I could cite in my article?
Your help is greatly appreciated.
Hello all!
Does anyone know of an already existing E-Prime script that employs a lexical decision task to test semantic priming and collect reaction times? I keep searching with these keywords and come up with other very specific scripts. If not, is it advisable to just adapt preexisting lexical decision, priming, implicit and/or association tasks for this purpose?
(This is a two-part question if someone can also advise me on optimal sample sizes for within-group reaction time experiments).
Thank you! Any help is much appreciated.
can I use word fragment completion task to examine cross-language semantic priming with different script bilinguals?
I am investigating polysemy using semantic priming paradigms. Usually, context words appear before a prime word, biasing its interpretation (between alternative senses). However I would like to use a context word after the prime, and before target. Do you know any experiments like this?
