Generalizability of component processes in intelligence as revealed by latency measures

In this study, we explored the relationships between the latencies of theor etically corresponding and noncorresponding component processes across a di verse task universe derived from Guilford's Structure of Intellect (SI) mod el. Seventy-two participants were presented a task universe that consisted of six componential tasks with a semantic or figural content and with an em phasis on either cognition, inductive reasoning, or evaluation operations. Latencies of 18 component processes were estimated from these componential tasks by means of multiple regression analysis and identified as encoding, searching, inference, mapping, application, comparison, and justification c omponents. Canonical correlation analysis indicated that on a componential level the task universe showed to a certain extent diversity, suggesting th at there was only a small bias in favor of finding convergent relationships . Multidimensional scaling and hierarchical cluster analyses revealed a thr ee-cluster solution of component processes, which were tentatively interpre ted as an encoding, a reasoning, and an evaluation cluster These results pr ovide initial evidence that theoretically corresponding component processes were generalizable (convergent validity) and theoretically noncorrespondin g component processes were not generalizable (discriminant validity) across the given task universe.