People in educational settings are expected to effectively use increasingly complex technology. One of the most important factors in technology use is computer self-efficacy (CSE). Although frequently assessed, available measures of CSE have various issues. Additionally, there is no current measure that delineates CSE at different skill levels and specifically targets usage in applied fields. Consequently, this set of seven studies describes the development and psychometric properties of two CSE scales that address these issues: the 18-item Brief Inventory of Technology Self-Efficacy (BITS) and the six-item Brief Inventory of Technology Self-Efficacy – Short Form (BITS-SF). The first study encompassed conceptualization and item development. The second and third studies explored and confirmed the three-factor structure of the BITS (Novice, Advanced, and Expert) in samples of Mechanical Turk workers and college students, respectively. The fourth study examined the multigroup invariance of this factor structure across men and women. The fifth study showed evidence for the temporal stability of the BITS. The sixth study assessed for validity evidence for both scales. Finally, the seventh study used latent class analysis to determine the underlying classes of the BITS-SF. The uses of the BITS and BITS-SF are discussed, and both measures are included.