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Haladyna, Thomas – International Journal of Assessment Tools in Education, 2022
The use of multiple-choice items for classroom testing is firmly established for many good reasons. The content any unit or course of study can be well sampled. Test scores can be reliable (trusted). And time spent administering and scoring can be minimized. This article provides a current review of best practices in the design and use of a…
Descriptors: Multiple Choice Tests, Testing, Student Evaluation, Recall (Psychology)
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Kula-Kartal, Seval – International Journal of Assessment Tools in Education, 2022
The change of the learning and teaching definitions in psychology has also changed the nature of classroom assessment implementations. One of these important changes is that the targeted skills in the classroom assessment, and item structures utilized to measure these skills have changed. Teachers have started to use items and tasks that can…
Descriptors: Educational Assessment, Formative Evaluation, Student Evaluation, Educational Psychology
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Orcan, Fatih – International Journal of Assessment Tools in Education, 2021
Monte Carlo simulation is a useful tool for researchers to estimated accuracy of a statistical model. It is usually used for investigating parameter estimation procedure or violation of assumption for some given conditions. To run a simulation either the paid software or open source but free program such as R is need to be used. For that,…
Descriptors: Monte Carlo Methods, Structural Equation Models, Accuracy, Computer Software
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Cobern, William W.; Adams, Betty A. J. – International Journal of Assessment Tools in Education, 2020
What follows is a practical guide for establishing the validity of a survey for research purposes. The motivation for providing this guide is our observation that researchers, not necessarily being survey researchers per se, but wanting to use a survey method, lack a concise resource on validity. There is far more to know about surveys and survey…
Descriptors: Surveys, Test Validity, Test Construction, Test Items
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Cobern, William W.; Adams, Betty A. J. – International Journal of Assessment Tools in Education, 2020
Researchers need to know what is an appropriate sample size for interview work, but how does one decide upon an acceptable number of people to interview? This question is not relevant to case study work where one would typically interview every member of a case, or in situations where it is both desirable and feasible to interview all target…
Descriptors: Interviews, Sample Size, Generalization, Qualitative Research
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Sahin, Murat Dogan; Aybek, Eren Can – International Journal of Assessment Tools in Education, 2019
This report aims to introduce the fundamental features of the free Jamovi software to academics in the field of educational measurement for use at undergraduate and graduate level research. As such, after introducing the R based interface and the integrated development environment, the core functions of Jamovi are presented, the installation for…
Descriptors: Computer Software, Statistical Analysis, Meta Analysis, Bayesian Statistics
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Teker, Gülsen Tasdelen – International Journal of Assessment Tools in Education, 2019
The aim of this paper is to introduce a software that is appropriate for the generalizability theory for not only balanced but also unbalanced data sets. Because it is possible to have unbalanced data sets while conducting a study, the researchers have devised an easy solution, other than deleting data, to balance the design to cope with this…
Descriptors: Generalizability Theory, Research Design, Computer Software, Data
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Lee, Sunbok; Choi, Youn-Jeng; Cohen, Allan S. – International Journal of Assessment Tools in Education, 2018
A simulation study is a useful tool in examining how validly item response theory (IRT) models can be applied in various settings. Typically, a large number of replications are required to obtain the desired precision. However, many standard software packages in IRT, such as MULTILOG and BILOG, are not well suited for a simulation study requiring…
Descriptors: Item Response Theory, Simulation, Replication (Evaluation), Automation