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Direct linkTaylor-Cox, Jennifer – Heinemann, 2008
This book applies the author's easy but effective differentiation strategies to the data analysis and probability content standard. Taking the foundational elements of differentiation in this book, it helps you: (1) assess students' math abilities quickly and efficiently; (2) group children by need; (3) target instruction to meet every student's…
Descriptors: Data Analysis, Probability, Preschool Education, Kindergarten
Jones, Douglas H. – 1981
A mathematical setting based on a statistical sampling probability mechanism is described. In this setting, a mathematical meaning is given for the information function; and it becomes possible to study the relative merits of various ability-estimating procedures. The maximum likelihood estimation procedure under the one-, two-, three-parameter…
Descriptors: Ability Identification, Estimation (Mathematics), Latent Trait Theory, Mathematical Models
Download full textLUNNEBORG, CLIFFORD E.; LUNNEBORG, PATRICIA W. – 1967
A TECHNIQUE OF PATTERN ANALYSIS WHICH EMPHASIZES THE DEVELOPMENT OF MORE EFFECTIVE WAYS OF SCORING A GIVEN SET OF VARIABLES WAS FORMULATED. TO THE ORIGINAL VARIABLES WERE SUCCESSIVELY ADDED TWO, THREE, AND FOUR VARIABLE PATTERNS AND THE INCREASE IN PREDICTIVE EFFICIENCY ASSESSED. RANDOMLY SELECTED HIGH SCHOOL SENIORS WHO HAD PARTICIPATED IN THE…
Descriptors: Ability Identification, Academic Achievement, College Bound Students, College Entrance Examinations
Camara, Wayne J. – College Entrance Examination Board, 1997
There is a strong and consistent relationship between PSAT/NMSQT scores and AP Examination grades for nearly all courses--higher scores on the PSAT/NMSQT indicate a higher probability of success on AP Examinations. PSAT/NMSQT verbal or mathematics scores are often more highly related to AP Examination grades than overall high school GPA, number of…
Descriptors: College Entrance Examinations, Scores, Advanced Placement Programs, Correlation
Warm, Thomas A. – 1978
This primer is an introduction to item response theory (also called item characteristic curve theory, or latent trait theory) as it is used most commonly--for scoring multiple choice achievement or aptitude tests. Written for the testing practitioner with minimum training in statistics and psychometrics, it presents and illustrates the basic…
Descriptors: Ability Identification, Achievement Tests, Adaptive Testing, Aptitude Tests
