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Technical Manual - Renaissance Learning

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IndexEmergent Readers, 11, 109, 111, 115, 116, 122Early, 11, 116Late, 11, 117EN (Early Numeracy), 11, 13, 15, 23, 92Equivalence and validity of STAR Early Literacy Enterprise,88Equivalence study data, 49, 92, 95skills rating items used, 96Est. ORF (Estimated Oral Reading Fluency), 112, 137, 155Exercise questions, 5FFormative classroom assessments, 3Foundational Skills for Kindergarten through Grade 5, 13GGeneric reliability, 44Goal setting for student progress monitoring, 126GRADE, 66, 69, 70, 81Graphics, 26Growth measurementabsolute growth, 134pretest-posttest paradigm, 134pretest-posttest with control group design, 135relative growth, 134using scores to measure growth, 135Growth Report, 12, 126, 134, 136, 137, 141, 143HHands-on exercise, 5IIndividualized tests, 8Instructional planning, and STAR Early Literacy Enterprise,131Instructions, repeating, 8Interim periodic assessments, 3Interpretation of scores, 143iPad®, use for testing, 5IRT (Item Response Theory)Bayesian-modal method, 110Maximum-Likelihood estimation method, 110Item bank, 16Item calibration, 37background, 37dynamic calibration, 43score scale definition and development, 43selection of items, 42statistical analysis, 41Item development, 28content structure, 29metadata requirements and goals, 30readability guidelines, 33tagging for “Requires Reading”, 29text, 31text of scripts/audio instructions, 34Item development (STAR Early Literacy), 15, 27KKR-20 (Kuder-Richardson Formula 20), 45LLanguage, 26Language Standards K-5, 14Late Emergent Readers, 11, 117Length of test, 6Literacy classification, 111, 115score distributions, 109Logits (Rasch scale units), 89MMatching early readers with books, 121Maximum-Likelihood IRT estimation, 110Measurement precision, 44Measuring growth. See Using scores to measure growthMeta-analysis of validity study validity data, 65Metadata requirements and goals, 30Michigan Literacy Progress Profile. See MLPPMLPP (Michigan Literacy Progress Profile), 67NNCE (Normal Curve Equivalent), 59, 110Normal Curve Equivalent. See NCENorming, 100data analysis, 104deciles, 102geographic region, 101grades, 102growth norms, 100norming variables, 102sample characteristics, 100STAR Early Literacy<strong>Technical</strong> <strong>Manual</strong>159

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