This paper briefly explains the possible two-mode techniques of factor analysis, and discusses, in more detail, one two-mode technique--the Q-technique. The Q-technique may be useful when the researcher is interested in obtaining information about "types" of individuals with regard to certain variables. A concrete heuristic example is used to illustrate Q-technique factor analysis. In this example, a structured Q-sort was developed based on the student appraisal criteria used to classify students for special education services. Q-sort data consisted of the scores of eight students, classified as emotionally disturbed; the scores were received when the teacher rated the students on each of 18 variables. The data were then factor analyzed to determine the factors or clusters of the students across the variable replicants. Two factor extraction methods, principal components and principal factors, were used and the factors were rotated using the varimax procedure. The use of factor scores to facilitate interpretation of person factors is then illustrated. Eight data tables and five data plots are provided. The Q-technique data file and the command file used to analyze the Q-technique data are appended. (Author/TJH)