<![CDATA[The number of correctly produced words is the primary output variable n most verbal fluency tests. The examination of the number of clusters and cluster size achieves a more in-depth analyses of cognitive aspects and processes. We propose a scoring system for phonemic, semantic, and emotion word fluency tests in the Indonesian context. This study aimed to determine the underlying cognitive constructs of the participants, including the clustering and switching indices, using principal component analysis (PCA). A total of 150 participants were included, and the tests were administered online following a previously validated protocol. The three fluency tests loaded different factors, and the loading clustering patterns varied among the tests. Regression analyses confirmed that both cluster size and the number of switches predicted the number of correct words, although this relationship differed between semantic and phonemic tests. The number of switches and cluster size interrater reliability for all three tests exceeded 0.90. The cluster size and the number of switches were suitable additional variables for scoring Indonesian phonemic, emotion, and animal names as semantic word fluency tasks. This approach allows for a more in-depth analysis of cognitive styles in clients undergoing neuropsychological assessment.]]>
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