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Reem El Sherif; Pierre Pluye; Quan Nha Hong; Benoît Rihoux – Research Synthesis Methods, 2024
Qualitative comparative analysis (QCA) is a hybrid method designed to bridge the gap between qualitative and quantitative research in a case-sensitive approach that considers each case holistically as a complex configuration of conditions and outcomes. QCA allows for multiple conjunctural causation, implying that it is often a combination of…
Descriptors: Comparative Analysis, Qualitative Research, Statistical Analysis, Researchers
Ponce-Renova, Hector F. – Journal of New Approaches in Educational Research, 2022
This paper's objective was to teach the Equivalence Testing applied to Educational Research to emphasize recommendations and to increase quality of research. Equivalence Testing is a technique used to compare effect sizes or means of two different studies to ascertain if they would be statistically equivalent. For making accessible Equivalence…
Descriptors: Educational Research, Effect Size, Statistical Analysis, Intervals
Faniran, Victor Temitayo; Ajayi, Nurudeen A. – Africa Education Review, 2018
Assessments are important to academic institutions because they help in evaluating students' knowledge. The conduct of assessments nowadays has been influenced by the continuous evolution of information technology. Hence, academic institutions now use computers for assessments, often known as Computer-Based Assessments (CBAs), in tandem with…
Descriptors: Foreign Countries, College Students, Student Attitudes, Computer Assisted Testing
Ragan, Daniel T.; Osgood, D. Wayne; Ramirez, Nayan G.; Moody, James; Gest, Scott D. – Sociological Methods & Research, 2022
The current study compares estimates of peer influence from an analytic approach that explicitly address network processes with those from traditional approaches that do not. Using longitudinal network data from the PROmoting School-community-university Partnerships to Enhance Resilience peers project, we obtain estimates of social influence on…
Descriptors: Peer Influence, Social Networks, Network Analysis, Regression (Statistics)
Kalkan, Ömür Kaya – Measurement: Interdisciplinary Research and Perspectives, 2022
The four-parameter logistic (4PL) Item Response Theory (IRT) model has recently been reconsidered in the literature due to the advances in the statistical modeling software and the recent developments in the estimation of the 4PL IRT model parameters. The current simulation study evaluated the performance of expectation-maximization (EM),…
Descriptors: Comparative Analysis, Sample Size, Test Length, Algorithms
Teng, Chin-Hung; Chen, Jr-Yi; Chen, Zhi-Hong – Journal of Educational Computing Research, 2018
Although the learning of programming language is critical in science and technology education, it might be difficult for some students, especially novices. One possible reason might be the fact that programming language, especially for three-dimensional (3D) applications, is too complex and abstract for these students to understand. Programming…
Descriptors: Computer Simulation, Simulated Environment, Programming, Computer Science Education
Wang, Lu; Steedle, Jeffrey – ACT, Inc., 2020
In recent ACT mode comparability studies, students testing on laptop or desktop computers earned slightly higher scores on average than students who tested on paper, especially on the ACT® reading and English tests (Li et al., 2017). Equating procedures adjust for such "mode effects" to make ACT scores comparable regardless of testing…
Descriptors: Test Format, Reading Tests, Language Tests, English
Stradiotová, Eva; Némethová, Ildiko; Štefancík, Radoslav – Advanced Education, 2022
The article aims to find out the impact of online education on on-site education by analyzing the results achieved by the respondents in the tests. We used descriptive statistical methods to analyze the data. The reason was that such methods allow us to better understand the correlation between the results obtained in traditional testing and…
Descriptors: COVID-19, Pandemics, Computer Assisted Testing, Distance Education
Rupp, André A.; van Rijn, Peter W. – Measurement: Interdisciplinary Research and Perspectives, 2018
We review the GIDNA and CDM packages in R for fitting cognitive diagnosis/diagnostic classification models. We first provide a summary of their core capabilities and then use both simulated and real data to compare their functionalities in practice. We found that the most relevant routines in the two packages appear to be more similar than…
Descriptors: Educational Assessment, Cognitive Measurement, Measurement, Computer Software
Miller, Nicole Gilner – ProQuest LLC, 2017
This quantitative study extends previous research on the impact of one to one (1:1) laptop environments on student outcomes in English Language Arts (ELA) by focusing on students from various socio-economic backgrounds, while using a new technology-enhanced, state-administered assessment to measure performance. This study is significant because…
Descriptors: Laptop Computers, Computer Uses in Education, Educational Technology, Statistical Analysis
Martin-SanJose, Juan-Fernando; Juan, M. -Carmen; Mollá, Ramón; Vivó, Roberto – Interactive Learning Environments, 2017
Advanced displays and natural user interfaces (NUI) are a very suitable combination for developing systems to provide an enhanced and richer user experience. This combination can be appropriate in several fields and has not been extensively exploited. One of the fields that this combination is especially suitable for is education. Nowadays,…
Descriptors: Computer Interfaces, Visual Aids, Teaching Methods, Computer Games
Bey, Anis; Jermann, Patrick; Dillenbourg, Pierre – Educational Technology & Society, 2018
Computer-graders have been in regular use in the context of MOOCs (Massive Open Online Courses). The automatic grading of programs presents an opportunity to assess and provide tailored feedback to large classes, while featuring at the same time a number of benefits like: immediate feedback, unlimited submissions, as well as low cost of feedback.…
Descriptors: Comparative Analysis, Online Courses, Feedback (Response), Foreign Countries
Acharya, Anal; Sinha, Devadatta – Journal of Educational Technology Systems, 2018
This study uses homogeneity in personal learning styles and heterogeneity in subject knowledge for collaborative learning group decomposition indicating that groups are "mixed" in nature. Homogeneity within groups was formed using K-means clustering and greedy search, whereas heterogeneity imbibed using agenda-driven search. For checking…
Descriptors: Cooperative Learning, Outcomes of Education, Multiple Regression Analysis, Cognitive Style
Katsioloudis, Petros J.; Jones, Mildred V. – Journal of Technology Education, 2018
A number of studies indicate that the use of holographic displays can influence spatial visualization ability; however, research provides inconsistent results. Considering this, a quasi-experimental study was conducted to identify the existence of statistically significant effects on sectional view drawing ability due to the impacts of holographic…
Descriptors: Comparative Analysis, Printing, Layout (Publications), Computer Graphics
Papadakis, Stamatios – International Journal of Web-Based Learning and Teaching Technologies, 2018
The teaching and learning of programming are often considered a difficult topic for both teachers and students, due to its complexity and abstract nature. The traditional teaching approaches are unable to contribute substantially to the development of the necessary cognitive models by the students, producing high rates of failure and dropout in…
Descriptors: Foreign Countries, Programming, Secondary School Students, Cooperative Learning

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