NotesFAQContact Us
Collection
Advanced
Search Tips
What Works Clearinghouse Rating
Showing 1 to 15 of 67 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Youmi Suk; Yongnam Kim – Society for Research on Educational Effectiveness, 2023
Background/Context: Observational studies often employ regression discontinuity (RD) designs and multiple control-group designs to explore the causal quantities of interest. RD designs assess policy and program effectiveness by assigning subjects to treatment based on whether they exceed a pre-defined cutoff. RD designs are classified into two…
Descriptors: Regression (Statistics), Research Design, Control Groups, Program Effectiveness
Peer reviewed Peer reviewed
Direct linkDirect link
Youmi Suk; Youjin Lee – Society for Research on Educational Effectiveness, 2024
Background/Context: Some observational studies involve multiple layers of treatment selection, specifically in the context of the extended time accommodation (ETA) for English language learners (ELLs). In ETA settings, the first selection occurs due to the eligibility rule, where students whose ELL English proficiency is below a certain threshold…
Descriptors: Evidence, Regression (Statistics), Research Design, Control Groups
Peer reviewed Peer reviewed
Direct linkDirect link
Suk, Youmi; Steiner, Peter M.; Kim, Jee-Seon; Kang, Hyunseung – Journal of Educational and Behavioral Statistics, 2022
Regression discontinuity (RD) designs are commonly used for program evaluation with continuous treatment assignment variables. But in practice, treatment assignment is frequently based on ordinal variables. In this study, we propose an RD design with an ordinal running variable to assess the effects of extended time accommodations (ETA) for…
Descriptors: Regression (Statistics), Program Evaluation, Research Design, English Language Learners
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Qian, Jiahe – ETS Research Report Series, 2017
The variance formula derived for a two-stage sampling design without replacement employs the joint inclusion probabilities in the first-stage selection of clusters. One of the difficulties encountered in data analysis is the lack of information about such joint inclusion probabilities. One way to solve this issue is by applying Hájek's…
Descriptors: Mathematical Formulas, Computation, Sampling, Research Design
Peer reviewed Peer reviewed
Direct linkDirect link
Wong, Manyee; Cook, Thomas D.; Steiner, Peter M. – Journal of Research on Educational Effectiveness, 2015
Some form of a short interrupted time series (ITS) is often used to evaluate state and national programs. An ITS design with a single treatment group assumes that the pretest functional form can be validly estimated and extrapolated into the postintervention period where it provides a valid counterfactual. This assumption is problematic. Ambiguous…
Descriptors: Evaluation Methods, Time, Federal Legislation, Educational Legislation
Peer reviewed Peer reviewed
PDF on ERIC Download full text
National Center for Education Statistics, 2013
The 2011 NAEP-TIMSS linking study conducted by the National Center for Education Statistics (NCES) was designed to predict Trends in International Mathematics and Science Study (TIMSS) scores for the U.S. states that participated in 2011 National Assessment of Educational Progress (NAEP) mathematics and science assessment of eighth-grade students.…
Descriptors: Grade 8, Research Methodology, Research Design, Trend Analysis
National Assessment Governing Board, 2012
For more than four decades the National Assessment of Educational Progress (NAEP) has tracked the achievement of U.S. students in major academic subjects. This national resource is the only assessment that states and now many urban districts can look to as an objective yardstick of their performance over time, relative to national benchmarks, and…
Descriptors: Academic Achievement, Data Collection, Information Needs, Needs Assessment
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Burns, Shelley, Ed.; Wang, Xiaolei, Ed.; Henning, Alexandra, Ed. – National Center for Education Statistics, 2011
Since its inception, the National Center for Education Statistics (NCES) has been committed to the practice of documenting its statistical methods for its customers and of seeking to avoid misinterpretation of its published data. The reason for this policy is to assure customers that proper statistical standards and techniques have been observed,…
Descriptors: National Surveys, Data Processing, Statistical Data, Data Collection
National Assessment Governing Board, 2010
The National Assessment Governing Board adopted a Program of Preparedness Research in March 2009. Several categories of research studies were recommended to produce results for reporting 12th grade preparedness for the 2009 grade 12 National Assessment of Educational Progress (NAEP) in reading and mathematics. The categories included content…
Descriptors: National Competency Tests, Readiness, Grade 12, Reading Achievement
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Peterson-Karlan, George R. – Assistive Technology Outcomes and Benefits, 2011
The trends and findings from a descriptive analysis of 25 years of research studies examining the effectiveness of technology to support the compositional writing of students with learning and academic disabilities are presented. A corpus of 85 applied research studies of writing technology effectiveness was identified from among 249 items in the…
Descriptors: Evidence, Writing (Composition), Editing, Writing Processes
van der Linden, Wim J.; Carlson, James E. – 1999
A popular design in large-scale educational assessments is the balanced incomplete block design. The design assumes that the item pool is split into a set of blocks of items that are assigned to assessment booklets. This paper shows how the technique of 0-1 linear programming can be used to calculate a balanced incomplete block design. Several…
Descriptors: Educational Assessment, Item Banks, Linear Programming, Research Design
Vanneman, Alan; White, Sheida – Education Statistics Quarterly, 2000
Explains how schools and students are selected for the National Assessment of Educational Progress (NAEP) and why high participation rates are important. Describes the multistage sampling method, which allows the National Center for Education Statistics to give an accurate picture of student performance while keeping the burden on schools and…
Descriptors: National Surveys, Participation, Research Design, Research Methodology
Allen, Nancy L.; And Others – 1996
The 1994 National Assessment of Educational Progress (NAEP) monitored the performance of students in American schools in reading, U.S. history, geography, mathematics, science, and writing. The sample involved more than 135,000 public and private school students who were 9, 13, or 17 years old and/or in grades 4, 8, and 12. This technical report…
Descriptors: Academic Achievement, Elementary Secondary Education, National Surveys, Research Design
Peer reviewed Peer reviewed
Thomas, Neal; Gan, Nianci – Journal of Educational and Behavioral Statistics, 1997
Describes and assesses missing data methods currently used to analyze data from matrix sampling designs implemented by the National Assessment of Educational Progress. Several improved methods are developed, and these models are evaluated using an EM algorithm to obtain maximum likelihood estimates followed by multiple imputation of complete data…
Descriptors: Data Analysis, Item Response Theory, Matrices, Maximum Likelihood Statistics
Linn, Robert L. – 2001
The National Assessment of Educational Progress (NAEP) has been the subject of many evaluations during its history. Those evaluations are reviewed, focusing on external evaluations, and the influences of recommendations made in the evaluations are discussed. The report concludes that many of the recommendations of evaluators have been heeded by…
Descriptors: Academic Achievement, Elementary Secondary Education, Evaluation Utilization, National Surveys
Previous Page | Next Page »
Pages: 1  |  2  |  3  |  4  |  5