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Shear, Benjamin R.; Reardon, Sean F. – Journal of Educational and Behavioral Statistics, 2021
This article describes an extension to the use of heteroskedastic ordered probit (HETOP) models to estimate latent distributional parameters from grouped, ordered-categorical data by pooling across multiple waves of data. We illustrate the method with aggregate proficiency data reporting the number of students in schools or districts scoring in…
Descriptors: Statistical Analysis, Computation, Regression (Statistics), Sample Size
Coletta, Vincent P. – Physical Review Physics Education Research, 2023
Recently Burkholder "et al." argued that class normalized gains over the entire population of courses is approximated by a Cauchy distribution, not by a normal distribution, and therefore should not be used to compare different classes because means and standard deviations cannot be calculated. They argued that multiple linear regression…
Descriptors: Physics, Science Instruction, Scientific Concepts, Concept Formation
Kastberg, David; Murray, Gordon; Ferraro, David; Arieira, Carlos; Roey, Shep; Mamedova, Saida; Liao, Yuqi – National Center for Education Statistics, 2021
The Program for International Student Assessment Young Adult Follow-up Study (PISA YAFS) is a follow-up study with students who participated in PISA 2012 in the United States. The study is designed to measure how performance on PISA 2012 relates to subsequent measures of outcomes and skills of young adults on an online assessment, Education and…
Descriptors: Foreign Countries, Achievement Tests, Secondary School Students, Young Adults
Castellano, Katherine Elizabeth; Ho, Andrew Dean – Journal of Educational and Behavioral Statistics, 2013
Regression methods can locate student test scores in a conditional distribution, given past scores. This article contrasts and clarifies two approaches to describing these locations in terms of readily interpretable percentile ranks or "conditional status percentile ranks." The first is Betebenner's quantile regression approach that results in…
Descriptors: Scores, Students, Academic Achievement, Least Squares Statistics
Quesen, Sarah – ProQuest LLC, 2016
When studying differential item functioning (DIF) with students with disabilities (SWD) focal groups typically suffer from small sample size, whereas the reference group population is usually large. This makes it possible for a researcher to select a sample from the reference population to be similar to the focal group on the ability scale. Doing…
Descriptors: Test Items, Academic Accommodations (Disabilities), Testing Accommodations, Disabilities
Bessudnov, Alexey; Makarov, Alexey – International Studies in Sociology of Education, 2015
Gender differences in mathematical performance have received considerable scrutiny in the fields of sociology, economics and psychology. We analyse a large data-set of high school graduates who took a standardised mathematical test in Russia in 2011 (n = 738,456) and find no substantial difference in mean test scores across boys and girls.…
Descriptors: Foreign Countries, Gender Differences, Mathematics Achievement, Performance Based Assessment
Shin, Jihyung – ProQuest LLC, 2012
This research is motivated by an analysis of reading research data. We are interested in modeling the test outcome of ability to fluently recode letters into sounds of kindergarten children aged between 5 and 7. The data showed excessive zero scores (more than 30% of children) on the test. In this dissertation, we carefully examine the models…
Descriptors: Educational Research, Hierarchical Linear Modeling, Reading Research, Kindergarten
Corcoran, Sean P.; Baker-Smith, Christine – Research Alliance for New York City Schools, 2015
New York City's elite public specialized high schools have a long history of offering a rigorous college preparatory education to the City's most academically talented students. Though immensely popular and highly selective, their policy of admitting students on the basis of a single entrance exam has been heavily criticized. Many argue, for…
Descriptors: High Schools, Urban Schools, Special Schools, Gifted
DiStefano, Christine; Zhu, Min; Mindrila, Diana – Practical Assessment, Research & Evaluation, 2009
Following an exploratory factor analysis, factor scores may be computed and used in subsequent analyses. Factor scores are composite variables which provide information about an individual's placement on the factor(s). This article discusses popular methods to create factor scores under two different classes: refined and non-refined. Strengths and…
Descriptors: Factor Structure, Factor Analysis, Researchers, Scores
Rosenthal, James A. – Springer, 2011
Written by a social worker for social work students, this is a nuts and bolts guide to statistics that presents complex calculations and concepts in clear, easy-to-understand language. It includes numerous examples, data sets, and issues that students will encounter in social work practice. The first section introduces basic concepts and terms to…
Descriptors: Statistics, Data Interpretation, Social Work, Social Science Research
Schiel, Jeff; Noble, Julie – 1992
Traditionally, correlation coefficients have been used to validate course placement decisions based on test scores and high school grades. Because placement systems restrict the range of both the predictor and outcome variables, correlation coefficients based on data from students enrolled in particular courses are understated relative to what…
Descriptors: Basic Skills, College Freshmen, Correlation, Decision Making
Pennsylvania State Dept. of Education, Harrisburg. Div. of Educational Testing and Evaluation. – 1986
This manual contains the statistics generated from the Pennsylvania Quality Education Assessment (QEA) administered in 1986. The assessment was to evaluate the achievement of certain educational objectives in grades 4, 6, 7, 9, and 11 in the public schools. The tests were in the following areas: reading comprehension, writing skills, mathematics,…
Descriptors: Correlation, Educational Assessment, Educational Objectives, Educational Quality
Camara, Wayne; Kimmel, Ernest; Scheuneman, Janice; Sawtell, Ellen A. – College Entrance Examination Board, 2004
There is clear evidence that the average grades earned in high school have been going up for some period of time. This study examines the question of whether students of varying backgrounds have experienced similar increases in grade point average (GPA) over a 25-plus-year period. Changes in SAT verbal and mathematical scores for the same gender…
Descriptors: College Entrance Examinations, Grade Inflation, Grades (Scholastic), Grade Point Average