Special education identification decisions are often difficult because of vague special education regulations and eligibility criteria. Many states do not operationalize a severe discrepancy, inadequate response to intervention (RtI), or alternative research-based methods (Maki, Floyd, & Roberson, 2015). Vague criteria can reduce confidence in resulting identification decisions, which may affect the consistency of decisions (de Mesquita, 1992). Learning disability (learning disability[ies] [LD]) identification decisions can be particularly difficult due to challenges in reliable measurement of the construct (Fletcher, Lyon, Fuchs, & Barnes, 2007), and state regulations that necessitate professional judgment and subjective decision-making (Mather & Gregg, 2006). Below, we discuss LD identification methods, inconclusive student data, and decision-maker confidence in LD identification decisions. LD Identification Methods Three overarching identification methods are typically used to identify students with LD. The original LD identification methodology that was ushered into law through the 1975 Education for All Handicapped Children Act (EAHCA; now the Individuals With Disabilities Education Improvement Act [Individuals With Disabilities Education Act; IDEA] of 2004) relied on ability-achievement discrepancies, which was predicated on the belief that underachievement discrepant from cognitive ability was indicative of LD (Gresham & Vellutino, 2010). However, ability-achievement discrepancies do not appear to be valid markers of LD because children with and without discrepancies exhibited similar skill deficits (Stuebing et al., 2002; Vellutino, Scanlon, Zhang, & Schatschneider, 2008), difference scores resulted in unreliable decisions, and discrepancies lacked treatment validity (Vaughn & Fuchs, 2003). Subsequent reauthorizations of IDEA allowed for use of RtI and alternative research-based methods to identify LD. Most RtI models compare student achievement level and growth rate (i.e., dual discrepancy) to either research-based criteria or peer performance (Kovaleski, VanDerHeyden, & Shapiro, 2013). Implementing RtI resulted in improved student outcomes (Burns, Appleton, & Stehouwer, 2005), and 769251L DQXXX10.