71 D.N. Allen and G. Goldstein (eds.), Cluster Analysis in Neuropsychological Research: Recent Applications, DOI 10.1007/978-1-4614-6744-1_4, © Springer Science+Business Media New York 2013 Introduction This chapter demonstrates how cluster analysis can be applied alongside other multivariate techniques to test hypotheses about memory development in youth. Memory assessment is typically part of a neuropsychological evaluation, and therefore, clinicians may have large datasets comprised of scores on standardized memory batteries. Neuropsychologists who have an interest in disseminating research will find cluster analysis a useful method to discern meaningful patterns within their data. Although memory is specifically examined in this chapter, the reader should be able to generalize the techniques illustrated here with other tests and the neuropsychological constructs that they measure. Several of the techniques described in Chap. 2 are used to derive and test cluster solutions. The cluster solutions themselves are then used as guidelines to identify parameters of memory trajectories in developing youth. Chapter 4 Identifying Neurodevelopmental Stages of Memory from Childhood Through Adolescence with Cluster Analysis Nicholas S. Thaler, Daniel N. Allen, Cecil R. Reynolds, and Joan Mayfield N.S. Thaler, M.A. Department of Psychology, University of Nevada Las Vegas, 455030, 4505 Maryland Parkway, Las Vegas, NV, 89154, USA e-mail: nick.thaler@gmail.com D.N. Allen, Ph.D. (*) Neuropsychology Research Program, Department of Psychology, University of Nevada Las Vegas, 455030, 4505 Maryland Parkway, Las Vegas, NV, 89154, USA e-mail: daniel.allen@unlv.edu C.R. Reynolds, Ph.D. Texas A&M University, 555 E. 5th St. Apt 3001, Austin, TX, 78701, USA e-mail: crrh@earthlink.net J. Mayfield, Ph.D. Our Children’s House at Baylor, 3301 Swiss Avenue, Dallas, TX, 75204, USA e-mail: JoanM@baylorhealth.edu