The current study extended previous research on curriculum-based measurement in mathematics (M-CBM) assessments. The purpose was to examine the generalizability and dependability of multiple-skill M-CBM computation assessments across various assessment durations (1, 2, 3, 4, 5, and 6 minutes). Results of generalizability and dependability studies (N ϭ 104 students) suggest that relative interindividual decisions can rely on the results from 1-minute administrations for low-stakes decisions and the results of 4-minute administrations for high-stakes decisions. Moreover, absolute intraindividual decisions can rely on the results from 4-minute administrations for low-stakes decisions and 13-minute administrations for high-stakes decisions. The implications and limitations of these results are discussed. © 2005 Wiley Periodicals, Inc.Curriculum-based measurement (CBM) is a standardized set of procedures that can be used to assess and evaluate academic performance in the basic skill areas of reading, spelling, mathematics, and written expression (Deno, 1985(Deno, , 2003Shinn, 2002Shinn, , 1989. The CBM literature in the area of mathematics (M-CBM) is replete with studies that demonstrate its utility for making educational decisions. Research supports the use of M-CBM for the purposes of progress monitoring (Allinder, 1996;Allinder & Beck, 1995;Stecker & Fuchs, 2000), modifying instruction for class groups (Fuchs, Fuchs, Hamlett, & Phillips, 1994;Whinnery & Fuchs, 1992), informing instructional groupings Fuchs, Fuchs, Bishop, & Hamlett, 1992;Spicuzza et al., 2001), modifying instruction for students with special needs (Fuchs, Fuchs, & Hamlett, 1989;Fuchs et al., 1994;Whinnery & Fuchs, 1992), identifying academic strengths and weaknesses (Fuchs et al., 1989;Fuchs, Fuchs, Hamlett, & Stecker, 1990), supporting peer-assisted learning (Calhoon & Fuchs, 2003), and predicting performance on statewide assessments (Helwig, Anderson, & Tindal, 2002).When CBM is used to assess computational fluency performance is quantified as the number of digits written correctly per unit of time. A review of the professional literature suggests that this metric for computational fluency is more sensitive to student growth than accuracy measures, which do not account for the rate of performance