2005
DOI: 10.3758/bf03196762
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What is preexisting strength? Predicting free association probabilities, similarity ratings, and cued recall probabilities

Abstract: Measuring lexical knowledge poses a challenge to the study of the influence of preexisting knowledge on the retrieval of new memories. Many tasks focus on word pairs, but words are embedded in associative networks, so how should preexisting pair strength be measured? It has been measured by free association, similarity ratings, and co-occurrence statistics. Researchers interpret free association response probabilities as unbiased estimates of forward cue-to-target strength. In Study 1, analyses of large free a… Show more

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Cited by 42 publications
(45 citation statements)
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“…This is implied in the division we assume between a stage of representation that computes the posterior probability of each response word being the appropriate response in the present context, and a response selection stage that translates this distribution into a single response (our second assumption). We draw this distinction for two reasons: First, Nelson and colleagues (e.g., Nelson, Dyrdal, & Goodmon, 2005) have explored the relationship between cue-target association strength and competitor strength in free association data. In their work, competitor strength and association strength are negatively correlated, but imperfectly, since the response rates are not constrained to sum to 1 (because idiosyncratic responses deemed to be unreliable are not included in their analysis).…”
Section: Discussionmentioning
confidence: 99%
“…This is implied in the division we assume between a stage of representation that computes the posterior probability of each response word being the appropriate response in the present context, and a response selection stage that translates this distribution into a single response (our second assumption). We draw this distinction for two reasons: First, Nelson and colleagues (e.g., Nelson, Dyrdal, & Goodmon, 2005) have explored the relationship between cue-target association strength and competitor strength in free association data. In their work, competitor strength and association strength are negatively correlated, but imperfectly, since the response rates are not constrained to sum to 1 (because idiosyncratic responses deemed to be unreliable are not included in their analysis).…”
Section: Discussionmentioning
confidence: 99%
“…Semantic/associative networks (shortened to semantic in this article) can be constructed by presenting lists of words to subjects asked to produce the first word to come to mind that is meaningfully or associatively related (e.g., Cramer, 1968;Deese, 1965;De Deyne & Storms, 2008a, 2008bNelson, Dyrdal, & Goodmon, 2005;Nelson, McEvoy, & Schreiber, 2004). Free association measures what one group of brains knows about semantic relationships and predicts what other groups of brains will be likely to know.…”
Section: The Semantic Networkmentioning
confidence: 99%
“…Quanto maior for a força associativa (força pré-existente entre as palavras de um par) maior será a probabilidade de um alvo ser evocado a partir de uma pista em um teste de associação livre (Nelson, Dyrdal, & Goodmon, 2005). Esse aspecto é importante, sobretudo na seleção de categorias naturais e seus respectivos exemplares na elaboração do teste de produção de exemplar da categoria.…”
Section: Estímulos Verbaisunclassified