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Lewin, Daniel R. – International Journal for the Scholarship of Teaching and Learning, 2021
A course with good learning outcomes is one in which most of the enrolled students achieve the mastery specified in the predefined learning objectives. Since the enrolment is invariably a mix of students with heterogeneous capabilities, the class average grade is a poor indicator of how the class is divided into at least two groups, of high- and…
Descriptors: Grades (Scholastic), Grading, Scores, Statistical Distributions
Lehrfeld, Jonathan; Zahner, Doris – Council for Aid to Education, 2017
Low motivation to perform well on a test is a potentially problematic source of construct-irrelevant variance (Messick, 1980), especially when there are low or no stakes attached to performance. That is, interpretations of test scores as indicators of students' knowledge and skills may be compromised if those students do not put forth the effort…
Descriptors: Performance Based Assessment, Critical Thinking, Writing Skills, College Students
Robinson-Cimpian, Joseph P. – National Education Policy Center, 2015
A recent NBER [National Bureau of Economic Research] working paper examines Florida's policy to retain many low-scoring third graders. The report concludes that third-grade retention has immediate positive effects on the following year's test results, but these effects fade over the next six years, with no effect on graduation. The regression…
Descriptors: Achievement Tests, Standardized Tests, State Standards, Regression (Statistics)
Wilson, Jennifer L. – ProQuest LLC, 2010
The study analyzed 2005 posttest data compared to 2008 posttest data to determine student end of school year academic achievement outcomes across three academic levels (above average, average, and below average chemistry potential) and two teacher homework evaluation methods (assigned but not graded and assigned and graded) on teacher prepared…
Descriptors: Outcomes of Education, Test Results, Graduation Requirements, Program Effectiveness

Edwards, Don; Cummings, Cynthia B. – Applied Measurement in Education, 1990
An evolved form of the Edwards and Beckworth (1989) model for probability selection for Scholastic Achievement Test takers using truncated normal distributions is presented. It is shown that the arguments of Holland and Wainer are not sufficient to reject this model. (SLD)
Descriptors: College Entrance Examinations, Models, Participation, Probability
Tatsuoka, Kikumi K.; And Others – 1993
This study introduces procedures for constructing a proficiency scale for a large-scale test by applying Tatsuoka's Rule Space Model. The SAT Mathematics (SAT M) Section 2 is used for illustrating the process and the results. A task analysis is summarized in a mapping sentence, and then 14 processes and content attributes are identified for…
Descriptors: Cognitive Processes, Cognitive Tests, Functions (Mathematics), High School Students
Abdel-fattah, Abdel-fattah A. – 1992
A scaling procedure is proposed, based on item response theory (IRT), to fit non-hierarchical test structure as well. The binary scores of a test of English were used for calculating the probabilities of answering each item correctly. The probability matrix was factor analyzed, and the difficulty intervals or estimates corresponding to the factors…
Descriptors: Bayesian Statistics, Difficulty Level, English, Estimation (Mathematics)

Orvis, Bruce R.; Gahart, Martin T. – 1989
As part of the military recruiting effort, the Department of Defense sponsors surveys of the national youth population to help design recruiting and advertising strategies. This report develops and applies a method of using the information contained in national youth surveys to estimate the probability that respondents taking the Armed Forces…
Descriptors: Aptitude Tests, Armed Forces, Estimation (Mathematics), Evaluation Utilization
Millman, Jason – 1974
This chapter should not only acquaint the reader with the present state of the art on Criterion-Referenced (CR) measurement but also suggest possible directions for further inquiry. The goal of the first part of this chapter is to deal with the definitional dilemma of CR measurement by proceeding from the more traditional view of CR measurement to…
Descriptors: Analysis of Variance, Bayesian Statistics, Behavioral Objectives, Comparative Analysis