Lexical Coding - Percent Name Agreement: All valid responses were coded into different lexical categories in relation to the target name, using the same criteria.

shortname	Name in Tables	Description of variable:
elex1	% Lex 1dom	Percent name agreement "Lex1dom" was defined as the proportion of all valid trials (a codeable response, with a usable RT) on which participants produced the target name. 100% is the total number of valid responses.
elex2	% Lex 2phon	"Lex2phon" is the percent of all codable responses with a valid RT that were classified as a morphological variant of the dominant name. This includes any morphological or morphophonological alteration of the target name, defined as a variation that shares the word root or a key portion of the word without changing the word's core meaning. Examples would include diminutives (e.g., "bike" for "bicycle"; "doggie" for "dog"), plural/singular alternations (e.g., "cookies" when the target word was "cookie"), reductions (e.g., "thread" if the target word was "spool of thread") or expansions (e.g., "truck for firemen" if the target word was "fire truck"). 100% is the total number of valid responses.
elex3	% Lex 3syn	"Lex3syn" refers to the ratio of codeable responses on which a synonym was produced. Synonyms for the target name differ from Code 2 because they do not share the word root or key portion of the target word). With this constraint, a synonym was defined as a word that shared the same truth value conditions as the target name (e.g., "couch" for "sofa" or "chicken" for "hen"). 100% is the total number of valid responses.
elex4	% Lex 4err	"Lex4err" refers to the percent of all codable responses with a valid RT on which participants produced a response that failed to meet criteria for Lexical Codes 1-3. This "error/other" category included superordinate names like "animal" or "food", or hyponyms (e.g., "animal" for "dog"), semantic associates that share the same class but do not have the target word's core meaning (e.g., "cat" for "dog"), part-whole relations at the visual-semantic level (e.g., "finger" for "hand"), and all frank visual errors or completely unrelated responses. 100% is the total number of valid responses.