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Louise Badham – Oxford Review of Education, 2025
Different sources of assessment evidence are reviewed during International Baccalaureate (IB) grade awarding to convert marks into grades and ensure fair results for students. Qualitative and quantitative evidence are analysed to determine grade boundaries, with statistical evidence weighed against examiner judgement and teachers' feedback on…
Descriptors: Advanced Placement Programs, Grading, Interrater Reliability, Evaluative Thinking
Doran, Elizabeth; Reid, Natalie; Bernstein, Sara; Nguyen, Tutrang; Dang, Myley; Li, Ann; Kopack Klein, Ashley; Rakibullah, Sharika; Scott, Myah; Cannon, Judy; Harrington, Jeff; Larson, Addison; Tarullo, Louisa; Malone, Lizabeth – Office of Planning, Research and Evaluation, 2022
Head Start is a national program that helps young children from families with low income get ready to succeed in school. It does this by working to promote their early learning and health and their families' well-being. The Head Start Family and Child Experiences Survey (FACES) provides national information about Head Start programs and…
Descriptors: Federal Programs, Low Income Students, Social Services, Children
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Hintze, John M.; Wells, Craig S.; Marcotte, Amanda M.; Solomon, Benjamin G. – Journal of Psychoeducational Assessment, 2018
This study examined the diagnostic accuracy associated with decision making as is typically conducted with curriculum-based measurement (CBM) approaches to progress monitoring. Using previously published estimates of the standard errors of estimate associated with CBM, 20,000 progress-monitoring data sets were simulated to model student reading…
Descriptors: Decision Making, Accuracy, Curriculum Based Assessment, Progress Monitoring
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Lai, Mark H. C.; Kwok, Oi-man – Journal of Experimental Education, 2015
Educational researchers commonly use the rule of thumb of "design effect smaller than 2" as the justification of not accounting for the multilevel or clustered structure in their data. The rule, however, has not yet been systematically studied in previous research. In the present study, we generated data from three different models…
Descriptors: Educational Research, Research Design, Cluster Grouping, Statistical Data
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Nordstokke, David W.; Zumbo, Bruno D.; Cairns, Sharon L.; Saklofske, Donald H. – Practical Assessment, Research & Evaluation, 2011
Many assessment and evaluation studies use statistical hypothesis tests, such as the independent samples t test or analysis of variance, to test the equality of two or more means for gender, age groups, cultures or language group comparisons. In addition, some, but far fewer, studies compare variability across these same groups or research…
Descriptors: Nonparametric Statistics, Statistical Analysis, Error of Measurement, Statistical Data
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Jackman, M. Grace-Anne; Leite, Walter L.; Cochrane, David J. – Structural Equation Modeling: A Multidisciplinary Journal, 2011
This Monte Carlo simulation study investigated methods of forming product indicators for the unconstrained approach for latent variable interaction estimation when the exogenous factors are measured by large and unequal numbers of indicators. Product indicators were created based on multiplying parcels of the larger scale by indicators of the…
Descriptors: Computation, Statistical Data, Structural Equation Models, Statistical Analysis
Rankin, Jenny Grant – Online Submission, 2013
There is extensive research on the benefits of making data-informed decisions to improve learning, but these benefits rely on the data being effectively interpreted. Despite educators' above-average intellect and education levels, there is evidence many educators routinely misinterpret student data. Data analysis problems persist even at districts…
Descriptors: Statistical Data, Data Interpretation, Data Analysis, Error of Measurement
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Zhuang, Jie; Chen, Peijie; Wang, Chao; Huang, Liang; Zhu, Zheng; Zhang, Wenjie; Fan, Xiang – Research Quarterly for Exercise and Sport, 2013
Purpose: The purpose of this study was to investigate the characteristics of missing physical activity (PA) data of children and youth. Method: PA data from the Chinese City Children and Youth Physical Activity Study ("N" = 2,758; 1,438 boys and 1,320 girls; aged 9-17 years old) were used for the study. After the data were sorted by the…
Descriptors: Physical Activities, Error of Measurement, Statistical Data, Gender Differences
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Keaton, Patrick; Sable, Jennifer; Liu, Fei – National Center for Education Statistics, 2012
This revised data file includes corrections that were provided to NCES as a result of a special collection effort designed to address data quality issues found in the 1a release of this file. In May 2012, NCES became aware of data errors for key data items for several schools on the published version of the SY 2009-10 school file; in some cases…
Descriptors: School Statistics, Data Collection, Documentation, Error Patterns
Barreca, Alan I.; Lindo, Jason M.; Waddell, Glen R. – National Bureau of Economic Research, 2011
This study uses Monte Carlo simulations to demonstrate that regression-discontinuity designs arrive at biased estimates when attributes related to outcomes predict heaping in the running variable. After showing that our usual diagnostics are poorly suited to identifying this type of problem, we provide alternatives. We also demonstrate how the…
Descriptors: Statistical Bias, Regression (Statistics), Research Design, Monte Carlo Methods
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Reichardt, Charles S. – Multivariate Behavioral Research, 2011
Maxwell, Cole, and Mitchell (2011) demonstrated that simple structural equation models, when used with cross-sectional data, generally produce biased estimates of meditated effects. I extend those results by showing how simple structural equation models can produce biased estimates of meditated effects when used even with longitudinal data. Even…
Descriptors: Structural Equation Models, Statistical Data, Longitudinal Studies, Error of Measurement
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Dekle, Dawn J.; Leung, Denis H. Y.; Zhu, Min – Psychological Methods, 2008
Across many areas of psychology, concordance is commonly used to measure the (intragroup) agreement in ranking a number of items by a group of judges. Sometimes, however, the judges come from multiple groups, and in those situations, the interest is to measure the concordance between groups, under the assumption that there is some within-group…
Descriptors: Item Response Theory, Statistical Analysis, Psychological Studies, Evaluators
Dahl, Gordon; Lochner, Lance – Institute for Research on Poverty, 2009
Past estimates of the effect of family income on child development have often been plagued by endogeneity and measurement error. In this paper, we use two simulated instrumental variables strategies to estimate the causal effect of income on children's math and reading achievement. Our identification derives from the large, non-linear changes…
Descriptors: Family Income, Academic Achievement, Evidence, Tax Credits
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Rogosa, David R.; Willett, John B. – Journal of Educational Measurement, 1983
Demonstrating good reliability for the difference score in measurement, the results of this study indicate that the difference score is often highly reliable when the correlation between true change and true initial status is nonnegative. In general, when individual differences in true change are appreciable, the difference score shows strong…
Descriptors: Achievement Gains, Error of Measurement, Individual Differences, Measurement Techniques
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Jones, R. M.; And Others – Journal of Adolescence, 1994
Results from this study indicate that a cutoff consisting of the mean plus a half standard deviation is more desirable than the original mean plus one standard deviation strategy for categorizing respondents into a "pure" identity status. Status-specific comparisons indicated groups were not significantly different on measures of…
Descriptors: Adolescents, Classification, Data Interpretation, Error of Measurement
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