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Reaction times (RTs) are used widely in psychological andpsycholinguistic research as inexpensive measures of underlyingcognitive processes. However, inferring cognitive processesfrom RTs is hampered by the fact that actual responses are theresult of multiple factors, many of which may not be related tothe process of interest. In lexical decision experiments, the useof RTs is further complicated by the fact that the response tosome stimuli is missing, and the fact that part of the responsesare ’incorrect’.In this paper we investigate the distribution of missing and incorrectresponses in the RT sequences of two large lexical decisionexperiments. It appears that a substantial part of incorrectresponses cluster together. Then, we investigate the effect ofclusters of incorrect responses on surrounding RTs.Also, we extend previous research on methods for discoveringand removing so-called local speed effects from RT sequences.For this purpose, we show that a recently introduced graph basedRT analysis method can help to better understand andanalyze RT sequences.

Analyzing Reaction Time and Error Sequences in Lexical Decision Experiments