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San Martín, Ernesto; González, Jorge – Journal of Educational and Behavioral Statistics, 2022
The nonequivalent groups with anchor test (NEAT) design is widely used in test equating. Under this design, two groups of examinees are administered different test forms with each test form containing a subset of common items. Because test takers from different groups are assigned only one test form, missing score data emerge by design rendering…
Descriptors: Tests, Scores, Statistical Analysis, Models
Harmston, Matt – ACT, Inc., 2020
Out of over 1.9 million students in the 2018 ACT-tested graduating class, 44% took the full ACT® test at least twice in hopes of improving their scores. Camara and Allen (2017) support this practice, confirming that factors such as time in the classroom between test administrations are associated with increases in ACT Composite scores from the…
Descriptors: College Entrance Examinations, Repetition, Scores, Probability
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Kim, Hanjoe – New Directions for Child and Adolescent Development, 2019
Propensity score analysis is a statistical method that balances pre-existing differences across treatment conditions achieving a similar condition as randomization and thus, allowing the estimation of causal effects in non-randomized experimental designs. The four stages in propensity score analysis are (1) propensity score estimation, (2)…
Descriptors: Probability, Scores, Research Design, Statistical Analysis
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Chalikias, Miltiadis; Kossieri, Evangelia; Lalou, Panagiota – Teaching Statistics: An International Journal for Teachers, 2020
The aim of this paper is to approach the teaching of the Poisson distribution in a friendly and amusing way. It constitutes a common practice to adopt the main probability distributions in order to predict results of sport events and to estimate the win return of betting activities (Chalikias 2009). In particular, by using the Poisson…
Descriptors: Decision Making, Team Sports, Probability, Statistics
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Powell, Marvin G.; Hull, Darrell M.; Beaujean, A. Alexander – Journal of Experimental Education, 2020
Randomized controlled trials are not always feasible in educational research, so researchers must use alternative methods to study treatment effects. Propensity score matching is one such method for observational studies that has shown considerable growth in popularity since it was first introduced in the early 1980s. This paper outlines the…
Descriptors: Probability, Scores, Observation, Educational Research
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Liu, Ren; Qian, Hong; Luo, Xiao; Woo, Ada – Educational and Psychological Measurement, 2018
Subscore reporting under item response theory models has always been a challenge partly because the test length of each subdomain is limited for precisely locating individuals on multiple continua. Diagnostic classification models (DCMs), providing a pass/fail decision and associated probability of pass on each subdomain, are promising…
Descriptors: Classification, Probability, Pass Fail Grading, Scores
Walton, Kate E.; Allen, Jeff; Burrus, Jeremy; Murano, Dana – ACT, Inc., 2022
Social and emotional (SE) skills are known to be linked with many important life outcomes, including academic performance, performance on standardized college entrance exams, and college enrollment, although research on enrollment is limited. In this report, the authors present data points from a study that evaluated test-criterion validity…
Descriptors: Social Development, Emotional Development, College Attendance, Postsecondary Education
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Benson, Nicholas F.; Beaujean, A. Alexander; Donohue, Ashley; Ward, Emily – Journal of Psychoeducational Assessment, 2018
W scores are used in a number of commercially available tests. Due to their complex nature, it can be hard for applied researchers and practitioners to understand them or even acquire information about them beyond what is provided in technical manuals. In this article, we provide information regarding the background and derivation of W scores that…
Descriptors: Scores, Item Response Theory, Achievement Tests, Cognitive Ability
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Regional Educational Laboratory Central, 2020
To increase opportunities for students to take more advanced math courses in high school, many school districts enroll grade 8 students in Algebra I, a gateway course for advanced math. But students who take Algebra I in grade 8 and skip other math courses, such as grade 8 general math, might miss opportunities to develop the foundational…
Descriptors: Grade 7, Grade 8, Algebra, Mathematics Instruction
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Cazier, Joseph A.; Jones, Leslie Sargent; McGee, Jennifer; Jacobs, Mark; Paprocki, Daniel; Sledge, Rachel A. – Journal of the National Collegiate Honors Council, 2017
Most enrollment management systems today use historical data to build rough forecasts of what percentage of students will likely accept an offer of enrollment based on historical acceptance rates. While this aggregate forecast method has its uses, we propose that building an enrollment model based on predicting an individual's likelihood of…
Descriptors: Honors Curriculum, Enrollment Management, College Students, Probability
Klein-Collins, Rebecca; Taylor, Jason; Bishop, Carianne; Bransberger, Peace; Lane, Patrick; Leibrandt, Sarah – Council for Adult and Experiential Learning, 2020
This report describes the adult student's experience with prior learning assessment (PLA) using student record data from 72 degree-granting postsecondary institutions in the United States, primarily focusing on the data from 69 of those institutions based on the more detailed data provided by those institutions to the study. Researchers from the…
Descriptors: Prior Learning, Student Evaluation, Adult Students, Student Records
Klein-Collins, Rebecca; Taylor, Jason; Bishop, Carianne; Bransberger, Peace; Lane, Patrick; Leibrandt, Sarah – Council for Adult and Experiential Learning, 2020
This report describes the adult student's experience with prior learning assessment (PLA) using student record data from 72 degree-granting postsecondary institutions in the United States, primarily focusing on the data from 69 of those institutions based on the more detailed data provided by those institutions to the study. Researchers from the…
Descriptors: Prior Learning, Student Evaluation, Adult Students, Student Records
Guo, Shenyang; Fraser, Mark W. – SAGE Publications Ltd (CA), 2014
Fully updated to reflect the most recent changes in the field, the Second Edition of "Propensity Score Analysis" provides an accessible, systematic review of the origins, history, and statistical foundations of propensity score analysis, illustrating how it can be used for solving evaluation and causal-inference problems. With a strong…
Descriptors: Probability, Scores, Statistical Analysis, Causal Models
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Piccone, Jason E. – Journal of Correctional Education, 2015
The effective evaluation of correctional programs is critically important. However, research in corrections rarely allows for the randomization of offenders to conditions of the study. This limitation compromises internal validity, and thus, causal conclusions can rarely be drawn. Increasingly, researchers are employing propensity score matching…
Descriptors: Correctional Education, Program Evaluation, Probability, Scores
Allen, Jeff; Radunzel, Justine; Moore, Joann – ACT, Inc., 2017
The ACT College Readiness Benchmarks are the ACT scores associated with a 50% chance of earning a B or higher grade in selected first-year credit-bearing courses at a typical postsecondary institution. The Benchmarks were established by linking ACT test scores with grades in first-year college courses from the same subject area. Benchmarks were…
Descriptors: Standard Setting, Probability, Success, Benchmarking
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