TY - JOUR
T1 - Clusters of word properties as predictors of elementary school children's performance on two word tasks
AU - Tellings, Agnes
AU - Coppens, Karien
AU - Gelissen, John
AU - Schreuder, Rob
PY - 2013/7
Y1 - 2013/7
N2 - ABSTRACT Often, the classification of words does not go beyond ?difficult? (i.e., infrequent, late-learned, nonimageable, etc.) or ?easy? (i.e., frequent, early-learned, imageable, etc.) words. In the present study, we used a latent cluster analysis to divide 703 Dutch words with scores for eight word properties into seven clusters of words. Each cluster represents a group of words that share a particular configuration of word properties. This model was empirically validated with three data sets from Grades 2 to 4 children who made either a lexical decision task or a use decision task with a selection of the words. Significant differences were found between the clusters of words within the three data sets. Implications for further study and for practice are discussed.
AB - ABSTRACT Often, the classification of words does not go beyond ?difficult? (i.e., infrequent, late-learned, nonimageable, etc.) or ?easy? (i.e., frequent, early-learned, imageable, etc.) words. In the present study, we used a latent cluster analysis to divide 703 Dutch words with scores for eight word properties into seven clusters of words. Each cluster represents a group of words that share a particular configuration of word properties. This model was empirically validated with three data sets from Grades 2 to 4 children who made either a lexical decision task or a use decision task with a selection of the words. Significant differences were found between the clusters of words within the three data sets. Implications for further study and for practice are discussed.
U2 - 10.1017/S014271641100083X
DO - 10.1017/S014271641100083X
M3 - Article
SN - 0142-7164
VL - 34
SP - 461
EP - 481
JO - Applied Psycholinguistics
JF - Applied Psycholinguistics
IS - 3
ER -