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John R. Donoghue; Carol Eckerly – Applied Measurement in Education, 2024
Trend scoring constructed response items (i.e. rescoring Time A responses at Time B) gives rise to two-way data that follow a product multinomial distribution rather than the multinomial distribution that is usually assumed. Recent work has shown that the difference in sampling model can have profound negative effects on statistics usually used to…
Descriptors: Scoring, Error of Measurement, Reliability, Scoring Rubrics
Kelli A. Bird; Benjamin L. Castleman; Zachary Mabel; Yifeng Song – Annenberg Institute for School Reform at Brown University, 2021
Colleges have increasingly turned to predictive analytics to target at-risk students for additional support. Most of the predictive analytic applications in higher education are proprietary, with private companies offering little transparency about their underlying models. We address this lack of transparency by systematically comparing two…
Descriptors: At Risk Students, Higher Education, Predictive Measurement, Models
Tennessee Board of Regents - The College System of Tennessee, 2021
This is the technical appendix for the report "Gaining Momentum: Refining Corequisite Learning Support to Boost Student Success in the First Year and Beyond" which seeks to develop a body of actionable information about how to refine learning support, close equity gaps, and promote strong momentum toward success for community college…
Descriptors: College Freshmen, Academic Achievement, Achievement Gap, Equal Education
Reardon, Sean F.; Ho, Andrew D. – Journal of Educational and Behavioral Statistics, 2015
In an earlier paper, we presented methods for estimating achievement gaps when test scores are coarsened into a small number of ordered categories, preventing fine-grained distinctions between individual scores. We demonstrated that gaps can nonetheless be estimated with minimal bias across a broad range of simulated and real coarsened data…
Descriptors: Achievement Gap, Performance Factors, Educational Practices, Scores
Reardon, Sean F.; Ho, Andrew D. – Grantee Submission, 2015
Ho and Reardon (2012) present methods for estimating achievement gaps when test scores are coarsened into a small number of ordered categories, preventing fine-grained distinctions between individual scores. They demonstrate that gaps can nonetheless be estimated with minimal bias across a broad range of simulated and real coarsened data…
Descriptors: Achievement Gap, Performance Factors, Educational Practices, Scores
Keaton, Shaughan A.; Bodie, Graham D. – International Journal of Listening, 2013
This article investigates the quality of social scientific listening research that reports numerical data to substantiate claims appearing in the "International Journal of Listening" between 1987 and 2011. Of the 225 published articles, 100 included one or more studies reporting numerical data. We frame our results in terms of eight…
Descriptors: Periodicals, Journal Articles, Listening, Social Science Research
Soslau, Elizabeth; Lewis, Kandia – Action in Teacher Education, 2014
For accreditation and programmatic decision making, education school administrators use inter-rater reliability analyses to judge credibility of student-teacher assessments. Although weak levels of agreement between university-appointed supervisors and cooperating teachers are usually interpreted to indicate that the process is not being…
Descriptors: Interrater Reliability, Accreditation (Institutions), Student Teacher Evaluation, Focus Groups
University of Chicago Consortium on Chicago School Research, 2014
Districts now have access to a wealth of new information that can help target students with appropriate supports and bring focus and coherence to college readiness efforts. However, the abundance of data has brought its own challenges. Schools and school systems are often overwhelmed with the amount of data available. The capacity of districts to…
Descriptors: College Readiness, Educational Indicators, College Preparation, School Districts
Tourangeau, Karen; Nord, Christine; Lê, Thanh; Wallner-Allen, Kathleen; Vaden-Kiernan, Nancy; Blaker, Lisa; Najarian, Michelle – National Center for Education Statistics, 2018
This manual provides guidance and documentation for users of the longitudinal kindergarten-fourth grade (K-4) public-use data file of the Early Childhood Longitudinal Study, Kindergarten Class of 2010-11 (ECLS-K:2011), which includes the first release of the public version of the third-grade data. This manual mainly provides information specific…
Descriptors: Longitudinal Studies, Children, Surveys, Kindergarten
Zimmerman, Donald W. – Educational and Psychological Measurement, 2007
Properties of the Spearman correction for attenuation were investigated using Monte Carlo methods, under conditions where correlations between error scores exist as a population parameter and also where correlated errors arise by chance in random sampling. Equations allowing for all possible dependence among true and error scores on two tests at…
Descriptors: Monte Carlo Methods, Correlation, Sampling, Data Analysis
Herman, Joan L.; Yamashiro, Kyo; Lefkowitz, Sloane; Trusela, Lee Ann – National Center for Research on Evaluation, Standards, and Student Testing (CRESST), 2008
This study examined the relationship between data use and achievement at 13 urban Title I schools. Using multiple methods, including test scores, district surveys, school transformation plans, and four case study site visits, the researchers found wide variation in the use of data to inform instruction and planning. In some cases, schools were …
Descriptors: Academic Achievement, Program Effectiveness, Scores, Data Analysis
Johnson, Eugene – 1988
The special characteristics of the data from the National Assessment of Educational Progress (NAEP) that affect the validity of conventional techniques of statistical analysis are considered. In contrast to the assumptions underlying standard methods of statistical analysis, the NAEP samples are obtained via a stratified multi-stage probability…
Descriptors: Achievement Tests, Data Analysis, Elementary Secondary Education, Mathematics Tests

Richardson, R. A.; Morrow, G. R. – Journal of Clinical Psychology, 1974
The position taken in this paper is that if a person were an actual user of a Rorschach percept, the clinical significance of the percept undoubtedly would be different from that of the non-user who had minimal interest in the percept. (Author)
Descriptors: College Students, Data Analysis, Psychological Studies, Sampling

Hill, Richard K. – 1974
When norming tests, it may be preferable to use the matrix sampling technique. The results from the samples may be used to estimate what the distribution of scores would have been if each subject had taken all the items. This paper compares four methods for making these estimates. The sample size made it possible to compare the techniques in a…
Descriptors: Bayesian Statistics, Comparative Analysis, Data Analysis, Item Sampling
Greene, Jay P.; Peterson, Paul E. – 1996
In August 1996 Jay P. Greene, Paul E. Peterson, and Jiangtao Du, with Leesa Boeger and Curtis L. Frazier, issued a report called "The Effectiveness of School Choice in Milwaukee." The report, referred to as GPDBF, presented data that indicated that low-income minority students in their third and fourth years of participation in the…
Descriptors: Academic Achievement, Data Analysis, Elementary Secondary Education, Participant Characteristics
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