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Chenchen Ma; Jing Ouyang; Chun Wang; Gongjun Xu – Grantee Submission, 2024
Survey instruments and assessments are frequently used in many domains of social science. When the constructs that these assessments try to measure become multifaceted, multidimensional item response theory (MIRT) provides a unified framework and convenient statistical tool for item analysis, calibration, and scoring. However, the computational…
Descriptors: Algorithms, Item Response Theory, Scoring, Accuracy
A. Corinne Huggins-Manley; Brandon M. Booth; Sidney K. D'Mello – Grantee Submission, 2022
The field of educational measurement places validity and fairness as central concepts of assessment quality (AERA, APA, NCME, 2014). Prior research has proposed embedding fairness arguments within argument-based validity processes, particularly when fairness is conceived as comparability in assessment properties across groups (Chapelle, 2021; Xi,…
Descriptors: Educational Assessment, Persuasive Discourse, Validity, Artificial Intelligence
Xue, Kang; Huggins-Manley, Anne Corinne; Leite, Walter – Grantee Submission, 2020
In data collected from virtual learning environments (VLEs), item response theory (IRT) models can be used to guide the ongoing measurement of student ability. However, such applications of IRT rely on unbiased item parameter estimates associated with test items in the VLE. Without formal piloting of the items, one can expect a large amount of…
Descriptors: Virtual Classrooms, Item Response Theory, Test Bias, Test Items
Daniel Katz; Anne Corinne Huggins-Manley; Walter Leite – Grantee Submission, 2022
According to the Standards for Educational and Psychological Testing (2014), one aspect of test fairness concerns examinees having comparable opportunities to learn prior to taking tests. Meanwhile, many researchers are developing platforms enhanced by artificial intelligence (AI) that can personalize curriculum to individual student needs. This…
Descriptors: High Stakes Tests, Test Bias, Testing Problems, Prior Learning
A. Corinne Huggins-Manley; Jing Huang; Jerri-ann Danso; Wei Li; Walter L. Leite – Grantee Submission, 2023
The global COVID-19 health pandemic caused major interruptions to educational assessment systems, partially due to shifts to remote learning environments, entering the post-COVID educational world into one that is more open to heterogeneity in instructional and assessment modes for secondary students. In addition, in 2020, educational inequities…
Descriptors: Student Evaluation, Educational Environment, Educational Change, COVID-19
Caroline G. Hodgson; Wes Bonifay; Wenxi Yang; Keith C. Herman – Grantee Submission, 2023
Background: Technically sound measures are necessary for accurately identifying youth at risk for depression, but many studies rely on classical test theory metrics or adult samples to evaluate measures. This study examined the use of the PHQ-8, a common and freely available pediatric depression screener, in an adolescent sample using item…
Descriptors: Depression (Psychology), Measurement, Screening Tests, Adolescents
Michael Matta; Sterett H. Mercer; Milena A. Keller-Margulis – Grantee Submission, 2022
Written expression curriculum-based measurement (WE-CBM) is a formative assessment approach for screening and progress monitoring. To extend evaluation of WE-CBM, we compared hand-calculated and automated scoring approaches in relation to the number of screening samples needed per student for valid scores, the long-term predictive validity and…
Descriptors: Writing Evaluation, Writing Tests, Predictive Validity, Formative Evaluation
Lang, David – Grantee Submission, 2019
Whether high-stakes exams such as the SAT or College Board AP exams should penalize incorrect answers is a controversial question. In this paper, we document that penalty functions can have differential effects depending on a student's risk tolerance. Moreover, literature shows that risk aversion tends to vary along other areas of concern such as…
Descriptors: High Stakes Tests, Risk, Item Response Theory, Test Bias
Dunya, Beyza Aksu; McKown, Clark; Smith, Everett – Grantee Submission, 2019
Emotion recognition (ER) involves understanding what others are feeling by interpreting nonverbal behavior, including facial expressions. The purpose of this study is to evaluate the psychometric properties of a web-based social ER assessment designed for children in kindergarten through third grade. Data were collected from two separate samples…
Descriptors: Emotional Intelligence, Psychometrics, Test Bias, Computer Assisted Testing
Nguyen, Tutrang; Reich, Stephanie M.; Jenkins, Jade Marcus; Abedi, Jamal – Grantee Submission, 2019
This study reports an independent investigation of the psychometric properties of Desired Results Developmental Profile (DRDP), a teacher-rated measure of school readiness for preschool-aged children. In a sample of 2,031 low-income, 3- to 5-year-old children attending Head Start, we tested three measurement models: a higher order one-factor…
Descriptors: School Readiness, Measures (Individuals), Preschool Children, Test Validity
Fallon, Lindsay M.; Cathcart, Sadie C.; Johnson, Austin H. – Grantee Submission, 2021
The "Assessment of Culturally and Contextually Relevant Supports" (ACCReS) was developed in response to the need for well-constructed instruments to measure teachers' cultural responsiveness and guide decision-making related to professional development needs. The current study sought to evaluate the presence of differential item…
Descriptors: Test Bias, Self Evaluation (Individuals), Culturally Relevant Education, Measures (Individuals)
Durán, Lillian K.; Wackerle-Hollman, Alisha K.; Kohlmeier, Theresa L.; Brunner, Stephanie K.; Palma, Jose; Callard, Chase H. – Grantee Submission, 2019
The population of Spanish-speaking preschoolers in the United States continues to increase and there is a significant need to develop psychometrically sound early language and literacy screening measures to accurately capture children's ability in Spanish. In this paper, we describe the innovative design and calibration process of the new…
Descriptors: Spanish Speaking, Preschool Children, Screening Tests, Oral Language
Cho, Eunsoo; Fuchs, Lynn S.; Seethaler, Pamela M.; Fuchs, Douglas; Compton, Donald L. – Grantee Submission, 2019
We examined dynamic assessment's (DA's) added value over traditional assessments for identifying Spanish-speaking English learners' (ELs') risk for developing mathematics disabilities, as a function of the language of test administration (English vs. Spanish), type of math outcome, and EL's language dominance. At the start of 1st grade, ELs (N =…
Descriptors: Alternative Assessment, Evaluation Methods, Student Evaluation, Spanish Speaking
Cromley, Jennifer G.; Dai, Ting; Fechter, Tia; Nelson, Frank E.; Van Boekel, Martin; Du, Yang – Grantee Submission, 2021
Making inferences and reasoning with new scientific information is critical for successful performance in biology coursework. Thus, identifying students who are weak in these skills could allow the early provision of additional support and course placement recommendations to help students develop their reasoning abilities, leading to better…
Descriptors: Science Tests, Multiple Choice Tests, Logical Thinking, Inferences
Teacher Beliefs about Mathematics Teaching and Learning: Identifying and Clarifying Three Constructs
Schoen, Robert C.; LaVenia, Mark – Grantee Submission, 2019
Scholars have long argued that individuals' beliefs influence their behaviors and the decisions they make throughout their lives. Focusing on beliefs as a cognitive construct, the purpose of this study was to identify several key beliefs about mathematics teaching and learning held by practicing elementary mathematics teachers. An iterative…
Descriptors: Teacher Attitudes, Beliefs, Mathematics Instruction, Mathematics Teachers
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