Assessment Population and the Validity Evaluation

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Assessment Population and the Validity Evaluation Inclusive Assessment Seminar Jacqui Farmer Kearns

The Assessment Triangle and Validity Evaluation (Marion, Quenemoen, & Kearns, 2006) OBSERVATION INTERPRETATION COGNITION VALIDITY EVALUATION Empirical Evidence Theory and Logic (argument) Consequential Features Reporting Alignment Item Analysis/DIF/Bias Measurement Error Scaling and Equating Standard Setting Assessment System Test Development Administration Scoring Student Population Academic Content Theory of Learning

Cognition Vertex Validity Questions Is the assessment appropriate for the students for whom it was intended? Is the assessment being administered to the appropriate students? Both are important for the validity evaluation!

Categorical Data Source The total student population receiving special education services broken down by disability category SOURCE: Education Week analysis of data from the U.S. Department of Education, Office of Special Education Programs, Data Analysis System, 2002-03.

Alternate Assessment Participants

Problems with Typical Population Data Sources AA-AAS Disability Category demographic Participation Guidelines IEP team monitoring IEP Analysis Special Tool/instrument Problem Insufficient information Accuracy of information Difficult to document Labor and time intensive Design & field-test new instrument

Theory of Learning Students with the most significant cognitive disabilities present problems with learning in these areas (Kleinert, Browder, & Towles-Reeves, 2005): Expressive and Receptive Language Attention to salient stimuli Memory Generalization Self-Regulation Limited motor response repertoire Meta-cognition and Skill Synthesis Sensory Deficits Special Health Care Needs We have more slides to describe each one of these but I’m not sure they are needed… We might be able to use Harold’s white paper…. j

Key to Academic Content: Communication Students with the most significant cognitive disabilities can acquire generalized use of objects (or object selection) to communicate preferences (Hetzroni, Rubin, Konkol, 2002). Language learners must use symbols repeatedly, interactively, and generatively during meaningful and ongoing activities in language-rich environments (Goossens’, Crain, & Elder, 1992; Cafiero, 1998; Goossens’ et al., 1992; Romiski & Sevcik, 1996; Miller & Eller-Miller, 2002; Mirenda, 2003). Competent use of language for multiple purposes, audiences, and contexts facilitate the meta-linguistic skills required for reading comprehension (Rankin, Harwood, & Mirenda, 1994). Use of graphic symbols for communication may facilitate specific components of print and word awareness, but the overall impact on beginning reading and reading comprehension may be minimal (Bishop, Ranking, & Mirenda, 1994; Rankin, Harwood, & Mirenda, 1994).

Academic Domains (Browder, Wakeman, Spooner, Ahlgrim-Delzell, & Algozzine, manuscript submitted for publication) What We Know Most Vocabulary acquisition Reading fluency Reading comprehension Numeracy Measurement Operations Personal safety Weather* not included in formal studies What We Know Least Phonemic awareness Phonics Algebra Geometry Spatial awareness Most of Science

More alike than different It is not our purpose to develop a separate theory of cognition for students with the most significant cognitive disabilities, but rather to: understand within the context of our current literature, what might be problematic for students with significant cognitive disabilities, within this most important vertex of the assessment triangle as it is defined for all students (Kleinert, Browder, & Towles-Reeves, 2005)

Cognition Vertex: Validity Evaluation Essential Questions Who is the population being assessed? How do we document and monitor the population? What do we know about how they learn (theory of learning) academic content? What does our performance data tell us about how the population is learning academic content? Are our data about the population and theory of learning consistent with student performances on the assessment? If not, what assumptions are challenged? What adjustments should be made: Participation Theory of Learning Student Performance