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Craig K. Enders – Grantee Submission, 2023
The year 2022 is the 20th anniversary of Joseph Schafer and John Graham's paper titled "Missing data: Our view of the state of the art," currently the most highly cited paper in the history of "Psychological Methods." Much has changed since 2002, as missing data methodologies have continually evolved and improved; the range of…
Descriptors: Data, Research, Theories, Regression (Statistics)
Sinharay, Sandip; Johnson, Matthew S. – Grantee Submission, 2019
According to Wollack and Schoenig (2018), score differencing is one of six types of statistical methods used to detect test fraud. In this paper, we suggested the use of Bayes factors (e.g., Kass & Raftery, 1995) for score differencing. A simulation study shows that the suggested approach performs slightly better than an existing frequentist…
Descriptors: Cheating, Deception, Statistical Analysis, Bayesian Statistics
Sinharay, Sandip; Johnson, Matthew S. – Grantee Submission, 2019
According to Wollack and Schoenig (2018), benefitting from item preknowledge is one of the three broad types of test fraud that occur in educational assessments. We use tools from constrained statistical inference to suggest a new statistic that is based on item scores and response times and can be used to detect the examinees who may have…
Descriptors: Scores, Test Items, Reaction Time, Cheating
Jonathan Schweig; Andrew McEachin; Megan Kuhfeld; Louis T. Mariano; Melissa Kay Diliberti – Grantee Submission, 2021
The novel coronavirus disease 2019 (COVID-19) pandemic has created an unprecedented set of obstacles for schools and exacerbated existing structural inequalities in public education. In spring 2020, as schools went to remote learning formats or closed completely, end-of-year assessment programs ground to a halt. As a result, schools began the…
Descriptors: Student Placement, COVID-19, Pandemics, Student Characteristics
Herrmann-Abell, Cari F.; Hardcastle, Joseph; DeBoer, George E. – Grantee Submission, 2018
We compared students' performance on a paper-based test (PBT) and three computer-based tests (CBTs). The three computer-based tests used different test navigation and answer selection features, allowing us to examine how these features affect student performance. The study sample consisted of 9,698 fourth through twelfth grade students from across…
Descriptors: Evaluation Methods, Tests, Computer Assisted Testing, Scores
Ostrow, Korinn; Donnelly, Christopher; Adjei, Seth; Heffernan, Neil – Grantee Submission, 2015
Student modeling within intelligent tutoring systems is a task largely driven by binary models that predict student knowledge or next problem correctness (i.e., Knowledge Tracing (KT)). However, using a binary construct for student assessment often causes researchers to overlook the feedback innate to these platforms. The present study considers a…
Descriptors: Intelligent Tutoring Systems, Models, Difficulty Level, Scores
Crossley, Scott A.; McNamara, Danielle S. – Grantee Submission, 2016
This study examines links between essay quality and text elaboration and text cohesion. For this study, 35 students wrote two essays (on two different prompts) and for each, were given 15 minutes to elaborate on their original text. An expert in discourse comprehension then modified the original and elaborated essays to increase cohesion,…
Descriptors: Essays, Writing Assignments, Writing Skills, Connected Discourse
Early, Diane M.; Sideris, John; Neitzel, Jennifer; LaForett, Doré R.; Nehler, Chelsea G. – Grantee Submission, 2018
The Early Childhood Environment Rating Scale-Third Edition (ECERS-3) is the latest version of one of the most widely used observational tools for assessing the quality of classrooms serving preschool-aged children. This study was the first assessment of its factor structure and validity, an important step given its widespread use. An ECERS-3…
Descriptors: Rating Scales, Early Childhood Education, Educational Quality, Factor Structure
McCarthy, Kathryn S.; Johnson, Amy M.; Likens, Aaron D.; Martin, Zachary; McNamara, Danielle S. – Grantee Submission, 2017
Interactive Strategy Training for Active Reading and Thinking (iSTART) is an intelligent tutoring system that supports reading comprehension through self-explanation (SE) training. This study tested how two metacognitive features, presented in a 2 x 2 design, affected students' SE scores during training. The "performance notification"…
Descriptors: Metacognition, Prompting, Intelligent Tutoring Systems, Reading Instruction
Ehrlinger, Joyce; Mitchum, Ainsley L.; Dweck, Carol S. – Grantee Submission, 2016
Knowing what we do not yet know is critical for learning. Nonetheless, people typically overestimate their prowess--but is this true of everyone? Three studies examined who shows overconfidence and why. Study 1 demonstrated that participants with an entity (fixed) theory of intelligence, those known to avoid negative information, showed…
Descriptors: Self Esteem, Intelligence, Learning Theories, Attention
Puranik, Cynthia S.; Patchan, Melissa M.; Sears, Mary M.; McMaster, Kristen L. – Grantee Submission, 2017
Curriculum-based measures (CBMs) are necessary for educators to quickly assess student skill levels and monitor progress. This study examined the use of the alphabet writing fluency task, a CBM of writing, to assess handwriting fluency--that is, how well children access, retrieve, and write letter forms automatically. In the current study, the…
Descriptors: Kindergarten, Alphabets, Writing Skills, Time on Task
McConnell, Amber E.; Martin, James E.; Herron, Jason P.; Hennessey, Maeghan N. – Grantee Submission, 2016
Gender differences have been found in post-school outcomes of students with disabilities, yet these differences are rarely examined. To determine whether male and female high school students with disabilities scored differently in non-academic behaviors known to affect post-school education and employment measured by the Transition Assessment and…
Descriptors: Gender Differences, High School Students, Disabilities, Scores
E. C. Hedberg – Grantee Submission, 2016
Background: There is an increased focus on randomized trials for proximal behavioral outcomes in early childhood research. However, planning sample sizes for such designs requires extant information on the size of effect, variance decomposition, and effectiveness of covariates. Objectives: The purpose of this article is to employ a recent large…
Descriptors: Randomized Controlled Trials, Kindergarten, Children, Longitudinal Studies
Lockwood, J. R.; Castellano, Katherine E. – Grantee Submission, 2015
This article suggests two alternative statistical approaches for estimating student growth percentiles (SGP). The first is to estimate percentile ranks of current test scores conditional on past test scores directly, by modeling the conditional cumulative distribution functions, rather than indirectly through quantile regressions. This would…
Descriptors: Statistical Analysis, Achievement Gains, Academic Achievement, Computation
Huscroft-D'Angelo, Jacqueline; Duppong Hurley, Kristin; Lambert, Matthew; Trout, Alexandra – Grantee Submission, 2018
Parent empowerment involves the ability of caregivers to meet the needs of their family while maintaining feelings of control and is particularly important for families of children at-risk. It is necessary to establish reliable and valid tools to measure parent empowerment. The purpose of this study was to examine the internal factor structure,…
Descriptors: Factor Structure, Test Validity, Measures (Individuals), Likert Scales