Visual word recognition of single-syllable words.

By David A. Balota, Michael J Cortese, Susan D. Sergent-Marshall, Daniel H. Spieler, M. Yap. Journal of experimental psychology. General, 2004

938 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Cognitive Neuroscience, Developmental and Educational Psychology

View Paper: https://www.semanticscholar.org/paper/6b38e2dfeeeb8a601418f8986f73063c4a62b7e8

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Citations in the corpus

The spatial coding model of visual word identification. (2010, methodology): “, Balota et al., 2004; Spieler & Balota, 1997) has facilitated such evaluations. Initial findings based on this approach were not especially promising. Spieler and Balota (1997) collected naming latencies for approximately 2,870 monosyllabic words and found that the orthographic error scores from th”
Lexical dynamics for low-frequency complex words: A regression study across tasks and modalities (2007, positive): “Coltheart’s N is often found to be facilitative in visual lexical decision, even though it is a measure of the presence of words related to the target only in form (see, e.g., Balota et al., 2004).”
Best practice guidance for linear mixed-effects models in psychological science (2019, background): “, predicting by-item mean reading response latencies from a set of predictors capturing different word properties (Balota et al., 2004).”
Beyond mean response latency: Response time distributional analyses of semantic priming (2008, background): “So, what is the stability of the RT distributional estimates across trials? We have recently explored this question in a large data set in which each subject produced responses to over 2400 monosyllabic words (see Balota, Cortese, Sergent-Marshall, Spieler, & Yap, 2004 ).”
Moving beyond Kučera and Francis: A critical evaluation of current word frequency norms and the introduction of a new and improved word frequency measure for American English (2009, background): “Zevin and Seidenber (2002) and Balota et al. (2004) did it for 2,400+ monosyllabic words.”
Tracking the mind during reading: the influence of past, present, and future words on fixation durations. (2006, background): “Note that larger frequency effects for old adults (e.g., Balota & Ferraro, 1993; Balota et al., 2004) and larger effects of frequency due to visual degradation (e.”
Age-of-acquisition ratings for 30,000 English words (2012, background): “Finally, the quality of the first phoneme of a word, or its place or manner of articulation, is the most influential variable in word naming (Balota et al., 2004; Yap & Balota, 2009) and auditory lexical decision (Yap & Brysbaert, 2009).”
Biases in Predicting the Human Language Model (2014, background): “Psycholinguists have known for some time that the ability of a corpus to explain behavior depends on properties of the corpus and the subjects (cf. Balota et al. (2004)).”
Morphological influences on the recognition of monosyllabic monomorphemic words (2006, methodology): “In their analysis, Balota et al. (2004) included subjective frequency estimates as a predictor in their multiple regression models for visual lexical decision and word naming latencies.”
SUBTLEX-CH: Chinese Word and Character Frequencies Based on Film Subtitles (2010, background): “frequency. For many languages, the frequency effect levels off at high frequencies, resulting in a deviation from the linear regression. To capture this deviation, Balota et al.”
Contextual Diversity, Not Word Frequency, Determines Word-Naming and Lexical Decision Times (2006, background): “…to some readers in the context of our regressions, although the inferential logic of these analyses is unaffected by this collinearity.6 One way to show that this correlation is not responsible for the results is to remove it by examining the effect of one variable while holding the other constant.”