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Mourad El Karkri; Antonio Quesada; Marta Romero-Ariza – Review of Education, 2025
Until now, the conventional approach using two distinct groups, experimental and control, continues to dominate research, especially education research. Researchers, particularly those who are active in this domain, readily recognise this pattern when surveying literature. This article explores the use of the Solomon four-group design as a…
Descriptors: Educational Research, Research Methodology, Experimental Groups, Control Groups
Bruno Arpino; Silvia Bacci; Leonardo Grilli; Raffaele Guetto; Carla Rampichini – Evaluation Review, 2025
We consider estimating the effect of a treatment on a given outcome measured on subjects tested both before and after treatment assignment in observational studies. A vast literature compares the competing approaches of modelling the post-test score conditionally on the pre-test score versus modelling the difference, namely, the gain score. Our…
Descriptors: Scores, Pretesting, Conditioning, Achievement Gains
Ersen, Rabia Karatoprak; Lee, Won-Chan – Journal of Educational Measurement, 2023
The purpose of this study was to compare calibration and linking methods for placing pretest item parameter estimates on the item pool scale in a 1-3 computerized multistage adaptive testing design in terms of item parameter recovery. Two models were used: embedded-section, in which pretest items were administered within a separate module, and…
Descriptors: Pretesting, Test Items, Computer Assisted Testing, Adaptive Testing
Bayesian Logistic Regression: A New Method to Calibrate Pretest Items in Multistage Adaptive Testing
TsungHan Ho – Applied Measurement in Education, 2023
An operational multistage adaptive test (MST) requires the development of a large item bank and the effort to continuously replenish the item bank due to concerns about test security and validity over the long term. New items should be pretested and linked to the item bank before being used operationally. The linking item volume fluctuations in…
Descriptors: Bayesian Statistics, Regression (Statistics), Test Items, Pretesting
Ibrahim Abba Mohammed; Oluwole Caleb Falode; Ibrahim Ismaila Kuta; Ahmed Bello – Education and Information Technologies, 2024
The COVID-19 pandemic kick-started a new paradigm shift in the way and manner teaching and learning takes place on the global scale due to the lockdown that succeeded in shutting down school activities. As a result, most institutions turned to technology supported e-learning as against the traditional face-to-face teaching and learning in order to…
Descriptors: Game Based Learning, Educational Technology, Academic Achievement, Achievement Tests
Verónica Pérez Bentancur; Lucía Tiscornia – Sociological Methods & Research, 2024
Experimental designs in the social sciences have received increasing attention due to their power to produce causal inferences. Nevertheless, experimental research faces limitations, including limited external validity and unrealistic treatments. We propose combining qualitative fieldwork and experimental design iteratively--moving back-and-forth…
Descriptors: Research Design, Social Science Research, Public Opinion, Punishment
Pan, Steven C.; Carpenter, Shana K. – Educational Psychology Review, 2023
Testing students on information that they do not know might seem like a fruitless endeavor. After all, why give anyone a test that they are guaranteed to fail because they have not yet learned the material? Remarkably, a growing body of research indicates that such testing--formally known as "prequestioning" or…
Descriptors: Pretesting, Memory, Transfer of Training, Learning Processes
Valerie Amacker; Hendrik Lohse-Bossenz; Markus Wilhelm; Dorothee Brovelli – International Journal of Science Education, 2024
The field of geometrical optics features a broad knowledge base concerning conceptual learning difficulties and student conceptions. However, in contrast to other areas of physics, no widely used standard test instrument exists to assess middle school students' conceptual knowledge of geometrical optics. This is even more true for other areas of…
Descriptors: Foreign Countries, Middle School Students, Physics, Science Instruction
Soderstrom, Nicholas C.; Bjork, Elizabeth Ligon – Educational Psychology Review, 2023
The current study examined whether the learning benefits of pretesting--like those produced by posttesting--generalize to classroom settings, and whether such benefits transfer to non-pretested related information. Before some lectures but not others, undergraduate students enrolled in a large research methods class were given a brief competitive…
Descriptors: Pretesting, Academic Achievement, Undergraduate Students, Research Methodology
Lim, Hwanggyu; Choe, Edison M. – Journal of Educational Measurement, 2023
The residual differential item functioning (RDIF) detection framework was developed recently under a linear testing context. To explore the potential application of this framework to computerized adaptive testing (CAT), the present study investigated the utility of the RDIF[subscript R] statistic both as an index for detecting uniform DIF of…
Descriptors: Test Items, Computer Assisted Testing, Item Response Theory, Adaptive Testing
Palmieri, Marco – Sociological Methods & Research, 2020
The researcher, who pretests a questionnaire conventionally, is confident that a small number of interviews reveals numerous problems afflict the questionnaire. The standardized interviewer is asked to observe respondent's verbal behaviors in order to realize whether respondent misunderstands question. But this strategy fails when respondent does…
Descriptors: Questionnaires, Pretesting, Testing Problems, Interviews
Miyazaki, Yasuo; Kamata, Akihito; Uekawa, Kazuaki; Sun, Yizhi – Educational and Psychological Measurement, 2022
This paper investigated consequences of measurement error in the pretest on the estimate of the treatment effect in a pretest-posttest design with the analysis of covariance (ANCOVA) model, focusing on both the direction and magnitude of its bias. Some prior studies have examined the magnitude of the bias due to measurement error and suggested…
Descriptors: Error of Measurement, Pretesting, Pretests Posttests, Statistical Bias
Choi, Heeseon; Lee, Hee Seung – Educational Psychology Review, 2020
Recent studies suggest that testing on prior material enhances subsequent learning of new material. Although such forward testing effect has received extensive empirical support, it is not yet clear how testing facilitates subsequent learning. One possible explanation suggests that interim testing informs learners about the format of an upcoming…
Descriptors: Testing, Test Format, Test Wiseness, Learning Strategies
Lindsey, Alexander J.; Barker, David J. – Natural Sciences Education, 2023
In spring 2016, a course at Ohio State University (OSU) was introduced to teach advanced agronomic concepts and included the option to prepare students for the Certified Crop Adviser (CCA) exams offered by the American Society of Agronomy. From 2019 to 2021, revisions in instructional methods were implemented that introduced the use of pretests…
Descriptors: Soil Science, Agronomy, Certification, Exit Examinations
Daniel Gertner; Allie Brashears; Na Xu; Holly Porter-Morgan – Journal of College Science Teaching, 2024
Gateway science courses are an ongoing obstacle to recruitment into STEM fields (Science, Technology, Engineering, and Mathematics). Students come into courses that have a high cognitive load, which makes success in the course challenging. Instructional design can be used to reduce cognitive load. The findings demonstrate that leveraging pre- and…
Descriptors: Community College Students, STEM Education, Biology, Science Instruction