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Dihao Leng; Ummugul Bezirhan; Lale Khorramdel; Bethany Fishbein; Matthias von Davier – Educational Measurement: Issues and Practice, 2024
This study capitalizes on response and process data from the computer-based TIMSS 2019 Problem Solving and Inquiry tasks to investigate gender differences in test-taking behaviors and their association with mathematics achievement at the eighth grade. Specifically, a recently proposed hierarchical speed-accuracy-revisits (SAR) model was adapted to…
Descriptors: Gender Differences, Test Wiseness, Achievement Tests, Mathematics Tests
Wright, Daniel B. – Educational Measurement: Issues and Practice, 2019
There is much discussion about and many policies to address achievement gaps in education among groups of students. The focus here is on a different gap and it is argued that it also should be of concern. Speed gaps are differences in how quickly different groups of students answer the questions on academic assessments. To investigate some speed…
Descriptors: Academic Achievement, Achievement Gap, Reaction Time, Educational Testing
Arikan, Serkan; Aybek, Eren Can – Educational Measurement: Issues and Practice, 2022
Many scholars compared various item discrimination indices in real or simulated data. Item discrimination indices, such as item-total correlation, item-rest correlation, and IRT item discrimination parameter, provide information about individual differences among all participants. However, there are tests that aim to select a very limited number…
Descriptors: Monte Carlo Methods, Item Analysis, Correlation, Individual Differences
Beard, Jonathan J.; Hsu, Julian; Ewing, Maureen; Godfrey, Kelly E. – Educational Measurement: Issues and Practice, 2019
High school students enroll in Advanced Placement (AP) courses and take AP exams for a variety of reasons. However, a lack of information about the extent to which there are incremental benefits associated with taking multiple AP exams has fostered a perception that students must take many APs to be prepared for college. Conversely, many American…
Descriptors: Correlation, Advanced Placement, Tests, College Preparation
Soland, James – Educational Measurement: Issues and Practice, 2019
As computer-based tests become more common, there is a growing wealth of metadata related to examinees' response processes, which include solution strategies, concentration, and operating speed. One common type of metadata is item response time. While response times have been used extensively to improve estimates of achievement, little work…
Descriptors: Test Items, Item Response Theory, Metadata, Self Efficacy
Shang, Yi; VanIwaarden, Adam; Betebenner, Damian W. – Educational Measurement: Issues and Practice, 2015
In this study, we examined the impact of covariate measurement error (ME) on the estimation of quantile regression and student growth percentiles (SGPs), and find that SGPs tend to be overestimated among students with higher prior achievement and underestimated among those with lower prior achievement, a problem we describe as ME endogeneity in…
Descriptors: Error of Measurement, Regression (Statistics), Achievement Gains, Students
Beatty, Adam S.; Walmsley, Philip T.; Sackett, Paul R.; Kuncel, Nathan R.; Koch, Amanda J. – Educational Measurement: Issues and Practice, 2015
Little is known about the reliability of college grades relative to how prominently they are used in educational research, and the results to date tend to be based on small sample studies or are decades old. This study uses two large databases (N > 800,000) from over 200 educational institutions spanning 13 years and finds that both first-year…
Descriptors: Reliability, Grades (Scholastic), College Students, Grade Point Average
Higdem, Jana L.; Kostal, Jack W.; Kuncel, Nathan R.; Sackett, Paul R.; Shen, Winny; Beatty, Adam S.; Kiger, Thomas B. – Educational Measurement: Issues and Practice, 2016
Recent research has shown that admissions tests retain the vast majority of their predictive power after controlling for socioeconomic status (SES), and that SES provides only a slight increment over SAT and high school grades (high school grade point average [HSGPA]) in predicting academic performance. To address the possibility that these…
Descriptors: Socioeconomic Status, Gender Differences, Racial Differences, Grade Point Average
Briggs, Derek C.; Ruiz-Primo, Maria Araceli; Furtak, Erin; Shepard, Lorrie; Yin, Yue – Educational Measurement: Issues and Practice, 2012
In a recent article published in "EM:IP," Kingston and Nash report on the results of a meta-analysis on the efficacy of formative assessment. They conclude that the average effect of formative assessment on student achievement is about 0.20 SD units. This would seem to dispel the myth that effects between 0.40 and 0.70 can be attributed to…
Descriptors: Academic Achievement, Outcome Measures, Meta Analysis, Inferences
Desimone, Laura M.; Smith, Thomas M.; Hayes, Susan A.; Frisvold, David – Educational Measurement: Issues and Practice, 2005
We found moderate correlations among four policy attributes (consistency, specificity, authority, and power), which suggest that in many states, at least in design, standards-based reform is working as advocates imagined--aligned content standards and assessments established, backed up by detailed guidelines and frameworks, incentivized by rewards…
Descriptors: Educational Change, Accountability, Educational Policy, Cognitive Development
Elliott, Stephen N.; Compton, Elizabeth; Roach, Andrew T. – Educational Measurement: Issues and Practice, 2007
The relationships between ratings on the Idaho Alternate Assessment (IAA) for 116 students with significant disabilities and corresponding ratings for the same students on two norm-referenced teacher rating scales were examined to gain evidence about the validity of resulting IAA scores. To contextualize these findings, another group of 54…
Descriptors: Inferences, Disabilities, Rating Scales, Eligibility