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Ali Orhan; Inan Tekin; Sedat Sen – International Journal of Assessment Tools in Education, 2025
In this study, it was aimed to translate and adapt the Computational Thinking Multidimensional Test (CTMT) developed by Kang et al. (2023) into Turkish and to investigate its psychometric qualities with Turkish university students. Following the translation procedures of the CTMT with 12 multiple-choice questions developed based on real-life…
Descriptors: Cognitive Tests, Thinking Skills, Computation, Test Validity
Laila El-Hamamsy; María Zapata-Cáceres; Estefanía Martín-Barroso; Francesco Mondada; Jessica Dehler Zufferey; Barbara Bruno; Marcos Román-González – Technology, Knowledge and Learning, 2025
The introduction of computing education into curricula worldwide requires multi-year assessments to evaluate the long-term impact on learning. However, no single Computational Thinking (CT) assessment spans primary school, and no group of CT assessments provides a means of transitioning between instruments. This study therefore investigated…
Descriptors: Cognitive Tests, Computation, Thinking Skills, Test Validity
Alkis Küçükaydin, Mensure; Akkanat, Çigdem – Problems of Education in the 21st Century, 2022
Computational thinking is recognized as a vital skill related to problem-solving in technological and non-technological fields. The existence of different sub-domains related to this skill has been pointed out. Therefore, there is a need for tools that measure these different sub-domains. Because of its structure that includes different skills,…
Descriptors: Elementary School Students, Thinking Skills, Computation, Tests
Stella Eteng-Uket – Numeracy, 2023
This paper describes a study that focused on developing, validating and standardizing a dyscalculia test, henceforth called the Dyscalculia Test. Out of the 4,758,800 students in Nigeria's upper primary and junior secondary schools, I randomly drew a sample of 2340 students, using a multistage sampling procedure that applied various sampling…
Descriptors: Test Construction, Learning Disabilities, Elementary School Students, Junior High School Students
Nurnberger-Haag, Julie; Kratky, Joseph; Karpinski, Aryn C. – International Electronic Journal of Mathematics Education, 2022
Skills and understanding of operations with negative numbers, which are typically taught in middle school, are crucial aspects of numerical competence necessary for all subsequent mathematics. To more swiftly and coherently develop the field's understanding of how to foster this critical competence, we need shared measures that allow us to compare…
Descriptors: Numbers, Number Concepts, Middle School Students, Secondary School Mathematics
Kilic, Abdullah Faruk; Dogan, Nuri – International Journal of Assessment Tools in Education, 2021
Weighted least squares (WLS), weighted least squares mean-and-variance-adjusted (WLSMV), unweighted least squares mean-and-variance-adjusted (ULSMV), maximum likelihood (ML), robust maximum likelihood (MLR) and Bayesian estimation methods were compared in mixed item response type data via Monte Carlo simulation. The percentage of polytomous items,…
Descriptors: Factor Analysis, Computation, Least Squares Statistics, Maximum Likelihood Statistics
Marbach, Joshua – Journal of Psychoeducational Assessment, 2017
The Mathematics Fluency and Calculation Tests (MFaCTs) are a series of measures designed to assess for arithmetic calculation skills and calculation fluency in children ages 6 through 18. There are five main purposes of the MFaCTs: (1) identifying students who are behind in basic math fact automaticity; (2) evaluating possible delays in arithmetic…
Descriptors: Mathematics Tests, Computation, Mathematics Skills, Arithmetic
Mahmud, Jumailiyah; Sutikno, Muzayanah; Naga, Dali S. – Educational Research and Reviews, 2016
The aim of this study is to determine variance difference between maximum likelihood and expected A posteriori estimation methods viewed from number of test items of aptitude test. The variance presents an accuracy generated by both maximum likelihood and Bayes estimation methods. The test consists of three subtests, each with 40 multiple-choice…
Descriptors: Maximum Likelihood Statistics, Computation, Item Response Theory, Test Items
Schoen, Robert C.; LaVenia, Mark; Bauduin, Charity; Farina, Kristy – Grantee Submission, 2016
The subject of this report is a pair of written, group-administered tests designed to measure the performance of grade 1 and grade 2 students at the beginning of the school year in the domain of number and operations. These tests build on previous versions field-tested in fall 2013 (Schoen, LaVenia, Bauduin, & Farina, 2016). Because the tests…
Descriptors: Elementary School Mathematics, Grade 1, Grade 2, Mathematics Tests
Schoen, Robert C.; LaVenia, Mark; Champagne, Zachary M.; Farina, Kristy; Tazaz, Amanda M. – Grantee Submission, 2017
The following report describes an assessment instrument called the Mathematics Performance and Cognition (MPAC) interview. The MPAC interview was designed to measure two outcomes of interest. It was designed to measure first and second graders' mathematics achievement in number, operations, and equality, and it was also designed to gather…
Descriptors: Interviews, Test Construction, Psychometrics, Elementary School Mathematics
Schoen, Robert C.; LaVenia, Mark; Champagne, Zachary M.; Farina, Kristy – Grantee Submission, 2017
This report provides an overview of the development, implementation, and psychometric properties of a student mathematics interview designed to assess first- and second-grade student achievement and thinking processes. The student interview was conducted with 622 first- or second-grade students in 22 schools located in two public school districts…
Descriptors: Interviews, Test Construction, Psychometrics, Elementary School Mathematics
Yoo, Jin Eun – Educational and Psychological Measurement, 2009
This Monte Carlo study investigates the beneficiary effect of including auxiliary variables during estimation of confirmatory factor analysis models with multiple imputation. Specifically, it examines the influence of sample size, missing rates, missingness mechanism combinations, missingness types (linear or convex), and the absence or presence…
Descriptors: Monte Carlo Methods, Research Methodology, Test Validity, Factor Analysis
Jung, Eunju; Liu, Kimy; Ketterlin-Geller, Leanne R.; Tindal, Gerald – Behavioral Research and Teaching, 2008
The purpose of this study was to develop general outcome measures (GOM) in mathematics so that teachers could focus their instruction on needed prerequisite skills. We describe in detail, the manner in which content-related evidence was established and then present a number of statistical analyses conducted to evaluate the technical adequacy of…
Descriptors: Item Analysis, Test Construction, Test Theory, Mathematics Tests
Feldt, Leonard S. – Educational and Psychological Measurement, 2005
To meet the requirements of the No Child Left Behind Act, school districts and states must compile summary reports of the levels of student achievement in reading and mathematics. The levels are to be described in broad categories: "basic and below," "proficient," or "advanced." Educational units are given considerable latitude in defining the…
Descriptors: Federal Legislation, Academic Achievement, Test Items, Test Validity
Peer reviewedFeldt, Leonard S. – Measurement & Evaluation in Counseling & Development, 2004
In some settings, the validity of a battery composite or a test score is enhanced by weighting some parts or items more heavily than others in the total score. This article describes methods of estimating the total score reliability coefficient when differential weights are used with items or parts.
Descriptors: Test Items, Scoring, Cognitive Processes, Test Validity
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