Quantitative psychology provides an opportunity for students to specialize in measurement, methodology and research design and analyses relevant to data in the social sciences. Psychology faculty currently includes Peter Bentler, Han Du, Craig Enders, Amanda Montoya, and Steven Reise. Key areas of interest among the faculty are structural equation modeling, item response theory, multilevel modeling, and the analysis of fMRI data.<br><br>The quantitative major at UCLA Psychology is a highly individualized program providing ample opportunity for one-on-one interaction with faculty. Students concentrating in quantitative psychology will generally fit into one of two categories. The first of these consists of students possessing excellent mathematical backgrounds and strong theoretical interests in technical problems in measurement theory, statistics, and modeling. The second group of students typically has more applied interests. While the latter group of students have preparation in mathematics, these students are more oriented toward the use of psychometric and analytic techniques in substantive research. Some students find it compatible to give equal attention to both these major aspects of the program. Students in the quantitative program are strongly encouraged to collaborate with faculty in substantive areas of psychology in addition to their quantitative training. These areas include but are not limited to couples analysis, longitudinal and diary data, health outcomes, and the biological underpinnings of psychopathology.