This paper explains how Q-technique factor analysis can be used to identify types or clusters of people with similar views. Q-technique factor analysis can be implemented with commonly available statistical software such as the Statistical Package for the Social Sciences (SPSS). The paper addresses three questions: (1) How many types (factors) of people are there?; (2) Are the expected people most associated with the expected person factors?; and (3) Which variables were and were not useful in differentiating the various person types/factors? The Q-technique methods described are well suited to studying education phenomena in which there are numerous ideals present in a reality in which only a limited number of ends or means can be realistically pursued. The use of Q-technique factor analysis is concretely illustrated using a heuristic data set involving a hypothetical investigation of parent and teacher perceptions of special education programs. An appendix contains the SPSS program to analyze data from the first table. (Contains 8 tables, 3 figures, and 30 references.) (Author/SLD)