A cluster analysis procedure was used to test a continuum versus an interactional view of career indecision. It was hypothesized that cluster groups would differ across cognitive and affective dimensions of career indecision. Clients experiencing career decisional problems were identified using a sample of college students from career planning courses ( N = 325). Responses to the Career Factors Inventory (CFI; Chartrand, Robbins, Morrill, & Boggs, 1990), which measures both cognitive and affective dimensions of career indecision, were cluster analyzed using a disjoint nonhierarchical procedure. A four-cluster configuration, which revealed interactions between cognitive and affective dimensions of career indecision, was identified as the optimal cluster solution. This cluster solution was validated and results were discussed in terms of integrating career decisional typologies into a theoretical framework.