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Borda, Emily; Haskell, Todd; Todd, Andrew – Journal of College Science Teaching, 2022
We propose cross-disciplinary learning as a construct that can guide instruction and assessment in programs that feature sequential learning across multiple science disciplines. Crossdisciplinary learning combines insights from interdisciplinary learning, transfer, and resources frameworks and highlights the processes of resource activation,…
Descriptors: Interdisciplinary Approach, Multiple Choice Tests, Protocol Analysis, Evaluation Methods
Rustam, Ahmad; Naga, Dali Santun; Supriyati, Yetti – International Journal of Education and Literacy Studies, 2019
Detection of differential item functioning (DIF) is needed in the development of tests to obtain useful items. The Mantel-Haenszel method and standardization are tools for DIF detection based on classical theory assumptions. The study was conducted to highlight the sensitivity and accuracy between the Mantel-Haenszel method and the standardization…
Descriptors: Statistical Analysis, Test Bias, Accuracy, Multiple Choice Tests
Yang, Jie; Wells, James; Henderson, Rachel; Christman, Elaine; Stewart, Gay; Stewart, John – Physical Review Physics Education Research, 2020
Brewe, Bruun, and Bearden first applied network analysis to understand patterns of incorrect conceptual physics reasoning in multiple-choice instruments introducing the module analysis for multiple-choice responses (MAMCR) algorithm. Wells et al. proposed an extension to the algorithm which allowed the analysis of large datasets called modified…
Descriptors: Physics, Scientific Concepts, Multiple Choice Tests, Statistical Analysis
Lee, Sora; Bolt, Daniel M. – Journal of Educational Measurement, 2018
Both the statistical and interpretational shortcomings of the three-parameter logistic (3PL) model in accommodating guessing effects on multiple-choice items are well documented. We consider the use of a residual heteroscedasticity (RH) model as an alternative, and compare its performance to the 3PL with real test data sets and through simulation…
Descriptors: Statistical Analysis, Models, Guessing (Tests), Multiple Choice Tests
Kim, Seonghoon; Kolen, Michael J. – Applied Measurement in Education, 2019
In applications of item response theory (IRT), fixed parameter calibration (FPC) has been used to estimate the item parameters of a new test form on the existing ability scale of an item pool. The present paper presents an application of FPC to multiple examinee groups test data that are linked to the item pool via anchor items, and investigates…
Descriptors: Item Response Theory, Item Banks, Test Items, Computation
Sunbul, Onder; Yormaz, Seha – International Journal of Evaluation and Research in Education, 2018
In this study Type I Error and the power rates of omega (?) and GBT (generalized binomial test) indices were investigated for several nominal alpha levels and for 40 and 80-item test lengths with 10,000-examinee sample size under several test level restrictions. As a result, Type I error rates of both indices were found to be below the acceptable…
Descriptors: Difficulty Level, Cheating, Duplication, Test Length
Sunbul, Onder; Yormaz, Seha – Eurasian Journal of Educational Research, 2018
Purpose: Several studies can be found in the literature that investigate the performance of ? under various conditions. However no study for the effects of item difficulty, item discrimination, and ability restrictions on the performance of ? could be found. The current study aims to investigate the performance of ? for the conditions given below.…
Descriptors: Test Items, Difficulty Level, Ability, Cheating
Yormaz, Seha; Sünbül, Önder – Educational Sciences: Theory and Practice, 2017
This study aims to determine the Type I error rates and power of S[subscript 1] , S[subscript 2] indices and kappa statistic at detecting copying on multiple-choice tests under various conditions. It also aims to determine how copying groups are created in order to calculate how kappa statistics affect Type I error rates and power. In this study,…
Descriptors: Statistical Analysis, Cheating, Multiple Choice Tests, Sample Size
Selvi, Hüseyin; Özdemir Alici, Devrim – International Journal of Assessment Tools in Education, 2018
In this study, it is aimed to investigate the impact of different missing data handling methods on the detection of Differential Item Functioning methods (Mantel Haenszel and Standardization methods based on Classical Test Theory and Likelihood Ratio Test method based on Item Response Theory). In this regard, on the data acquired from 1046…
Descriptors: Test Bias, Test Theory, Item Response Theory, Multiple Choice Tests
Bolkan, San; Griffin, Darrin J.; Goodboy, Alan K. – Communication Education, 2018
This study was conducted to examine the impact of integrated humor on direct measures of students' ability to retain and transfer information from educational lessons. In two experiments, participants were randomly exposed to either a lesson with humorous examples or standard examples and were subsequently asked to take tests on the material. Data…
Descriptors: Humor, Teaching Methods, Scores, Cognitive Ability
Berg, Craig; Boote, Stacy – International Journal of Science and Mathematics Education, 2017
Prior graphing research has demonstrated that clinical interviews and free-response instruments produce very different results than multiple-choice instruments, indicating potential validity problems when using multiple-choice instruments to assess graphing skills (Berg & Smith in "Science Education," 78(6), 527-554, 1994). Extending…
Descriptors: Graphs, Multiple Choice Tests, Statistical Analysis, Secondary School Students
Lee, Hee Seung; Ahn, Dahwi – Journal of Educational Psychology, 2018
The forward effect of testing occurs when testing on previously studied information facilitates subsequent learning. The present research investigated whether interim testing on initially studied materials enhances the learning of new materials in category learning and examined the metacognitive judgments of such learning. Across the 4…
Descriptors: Testing, Student Evaluation, Learning Processes, Metacognition
Quesen, Sarah; Lane, Suzanne – Applied Measurement in Education, 2019
This study examined the effect of similar vs. dissimilar proficiency distributions on uniform DIF detection on a statewide eighth grade mathematics assessment. Results from the similar- and dissimilar-ability reference groups with an SWD focal group were compared for four models: logistic regression, hierarchical generalized linear model (HGLM),…
Descriptors: Test Items, Mathematics Tests, Grade 8, Item Response Theory
Mediating Relationship of Differential Products in Understanding Integration in Introductory Physics
Amos, Nathaniel; Heckler, Andrew F. – Physical Review Physics Education Research, 2018
In the context of introductory physics, we study student conceptual understanding of differentials, differential products, and integrals and possible pathways to understanding these quantities. We developed a multiple choice conceptual assessment employing a variety of physical contexts probing physical understanding of these three quantities and…
Descriptors: Physics, Introductory Courses, Science Instruction, Scores
Kalkan, Ömür Kaya; Kara, Yusuf; Kelecioglu, Hülya – International Journal of Assessment Tools in Education, 2018
Missing data is a common problem in datasets that are obtained by administration of educational and psychological tests. It is widely known that existence of missing observations in data can lead to serious problems such as biased parameter estimates and inflation of standard errors. Most of the missing data imputation methods are focused on…
Descriptors: Item Response Theory, Statistical Analysis, Data, Test Items