“…In fact, several other additional performance measures are known from the literature on word generation (relating to research on other clinical pictures or healthy populations, e.g., Clark et al, 2014;Gaspers et al, 2012;Juhasz et al, 2012;Nicodemus et al, 2013;Reverberi et al, 2014;Thiele, 2013), but these were not used in the 20 articles that analyzed word generation performance in patients with brain injury. For example, studies describe analyses of other lexical or semantic parameters in correct responses, such as age of acquisition, word length, semantic typicality, familiarity, and specificity or proximity of words generated during word generation tasks, as well as analyses of semantic, orthographic, and phonemic similarity in word list generation, to examine the nature of the semantic store (e.g., Clark et al, 2014;Gaspers et al, 2012;Juhasz et al, 2012;Reverberi et al, 2014;Thiele, 2013), and analyses of a so-called "order index" as a measure of "how semantically ordered a series of items is" (Reverberi et al, 2014, p. 153), to specify underlying cognitive processes and to identify more accurate performance measures to facilitate diagnostic procedures. Computational approaches such as latent semantic analysis, which analyzes patterns of subordinated categories (Nicodemus et al, 2013), or explicit semantic analyses, which analyzes semantic distances between consecutive words (Gaspers et al, 2012), are also used.…”