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Metsämuuronen, Jari – International Journal of Educational Methodology, 2020
Pearson product-moment correlation coefficient between item g and test score X, known as item-test or item-total correlation ("Rit"), and item-rest correlation ("Rir") are two of the most used classical estimators for item discrimination power (IDP). Both "Rit" and "Rir" underestimate IDP caused by the…
Descriptors: Correlation, Test Items, Scores, Difficulty Level
Lenhard, Wolfgang; Lenhard, Alexandra – Educational and Psychological Measurement, 2021
The interpretation of psychometric test results is usually based on norm scores. We compared semiparametric continuous norming (SPCN) with conventional norming methods by simulating results for test scales with different item numbers and difficulties via an item response theory approach. Subsequently, we modeled the norm scores based on random…
Descriptors: Test Norms, Scores, Regression (Statistics), Test Items
Zhang, Zhidong – International Education Studies, 2018
This study explored a diagnostic assessment method that emphasized the cognitive process of algebra learning. The study utilized a design and a theory-driven model to examine the content knowledge. Using the theory driven model, the thinking skills of algebra learning was also examined. A Bayesian network model was applied to represent the theory…
Descriptors: Algebra, Bayesian Statistics, Scores, Mathematics Achievement
James, Terry – College Quarterly, 2018
The purpose is to improve insights and educational results by applying analytic methods. The focus is on the mathematics applied to learn from the kind of data available to most classes such as final examination marks or homework grades. The sample is 249 students learning introductory college statistics. The result is a predictive model for…
Descriptors: Data Analysis, Mathematics Instruction, Introductory Courses, Statistics
Kogar, Hakan – International Journal of Assessment Tools in Education, 2018
The aim of this simulation study, determine the relationship between true latent scores and estimated latent scores by including various control variables and different statistical models. The study also aimed to compare the statistical models and determine the effects of different distribution types, response formats and sample sizes on latent…
Descriptors: Simulation, Context Effect, Computation, Statistical Analysis
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
Broadbent, H. J.; Osborne, T.; Rea, M.; Peng, A.; Mareschal, D.; Kirkham, N. Z. – Developmental Psychology, 2018
Multisensory information has been shown to facilitate learning (Bahrick & Lickliter, 2000; Broadbent, White, Mareschal, & Kirkham, 2017; Jordan & Baker, 2011; Shams & Seitz, 2008). However, although research has examined the modulating effect of unisensory and multisensory distractors on multisensory processing, the extent to which…
Descriptors: Incidental Learning, Cognitive Processes, Difficulty Level, Sensory Integration
Le Hebel, Florence; Montpied, Pascale; Tiberghien, Andrée; Fontanieu, Valérie – International Journal of Science Education, 2017
The understanding of what makes a question difficult is a crucial concern in assessment. To study the difficulty of test questions, we focus on the case of PISA, which assesses to what degree 15-year-old students have acquired knowledge and skills essential for full participation in society. Our research question is to identify PISA science item…
Descriptors: Achievement Tests, Foreign Countries, International Assessment, Secondary School Students
Harris, Charles M.; Zha, Shenghua – Education, 2017
Many college students are not progressing in the development of their critical thinking skills. Concept mapping is a technique for facilitating validation of one's critical thinking by graphically depicting the structure of complex concepts. Each of our three studies of concept mapping involved approximately 240 students enrolled in four sections…
Descriptors: Concept Mapping, Critical Thinking, Self Efficacy, College Students
Agnello, Paul – ProQuest LLC, 2018
Pseudowords (words that are not real but resemble real words in a language) have been used increasingly as a technique to reduce contamination due to construct-irrelevant variance in assessments of verbal fluid reasoning (Gf). However, despite pseudowords being researched heavily in other psychology sub-disciplines, they have received little…
Descriptors: Scores, Intelligence Tests, Difficulty Level, Item Analysis
Karlin, Omar; Karlin, Sayaka – InSight: A Journal of Scholarly Teaching, 2018
This study had two aims. The first was to explain the process of using the Rasch measurement model to validate tests in an easy-to-understand way for those unfamiliar with the Rasch measurement model. The second was to validate two final exams with several shared items. The exams were given to two groups of students with slightly differing English…
Descriptors: Item Response Theory, Test Validity, Test Items, Accuracy
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
Frisby, Craig; Wang, Ze – Journal of Applied School Psychology, 2018
Although spelling skill progress has typically been studied within the context of students' responses to written story starters (Deno, Marsten, & Mirkin, 1982; Fuchs & Fuchs, 2011; Hosp, Hosp, & Howell, 2007; Shinn & Shinn, 2002), there has been little research conducted within a curriculum-based measurement framework that has…
Descriptors: Spelling, Teaching Methods, Progress Monitoring, Curriculum Based Assessment
LaHuerta, Ana Cristina – International Journal of English Studies, 2018
The aim of the present study is to compare the writing products of English as a Foreign Language (EFL) university students using accuracy and grammatical complexity as measures. It also aims at examining the development of the morphological, syntactic, lexical, spelling, and punctuation errors committed by these learners when writing in English.…
Descriptors: Accuracy, Grammar, Difficulty Level, Writing (Composition)
McColgan, Michele W.; Finn, Rose A.; Broder, Darren L.; Hassel, George E. – Physical Review Physics Education Research, 2017
We present the Electricity and Magnetism Conceptual Assessment (EMCA), a new assessment aligned with second-semester introductory physics courses. Topics covered include electrostatics, electric fields, circuits, magnetism, and induction. We have two motives for writing a new assessment. First, we find other assessments such as the Brief…
Descriptors: Energy, Magnets, Scientific Concepts, Student Evaluation