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Shan Zhang; Chris Palaguachi; Marcin Pitera; Chris Davis Jaldi; Noah L. Schroeder; Anthony F. Botelho; Jessica R. Gladstone – Educational Psychology Review, 2024
Systematic reviews are a time-consuming yet effective approach to understanding research trends. While researchers have investigated how to speed up the process of screening studies for potential inclusion, few have focused on to what extent we can use algorithms to extract data instead of human coders. In this study, we explore to what extent…
Descriptors: Bibliometrics, Meta Analysis, Research Methodology, Evaluation Methods
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Leonidas Sakalauskas; Vytautas Dulskis; Darius Plikynas – Structural Equation Modeling: A Multidisciplinary Journal, 2024
Dynamic structural equation models (DSEM) are designed for time series analysis of latent structures. Inherent to the application of DSEM is model parameter estimation, which has to be addressed in many applications by a single time series. In this context, however, the methods currently available either lack estimation quality or are…
Descriptors: Structural Equation Models, Time Management, Predictive Measurement, Data Collection
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Qiong Wu; Liping Gu – Sociological Methods & Research, 2024
Family income questions in general purpose surveys are usually collected with either a single-question summary design or a multiple-question disaggregation design. It is unclear how estimates from the two approaches agree with each other. The current paper takes advantage of a large-scale survey that has collected family income with both methods.…
Descriptors: Foreign Countries, Family Income, Questionnaires, Research Design
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Stephen Gorard – Review of Education, 2024
This paper describes, and lays out an argument for, the use of a procedure to help groups of reviewers to judge the quality of prior research reports. It argues why such a procedure is needed, and how other existing approaches are only relevant to some kinds of research, meaning that a review or synthesis cannot successfully combine quality…
Descriptors: Credibility, Research Reports, Evaluation Methods, Research Design
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Collin Shepley – Journal of Autism and Developmental Disorders, 2024
Program evaluation is an essential practice for providers of behavior analytic services, as it helps providers understand the extent to which they are achieving their intended mission to the community they serve. A proposed method for conducting such evaluations, is through the use of a consecutive case series design, for which cases are…
Descriptors: Program Evaluation, Data Collection, Data Analysis, Evaluation Methods
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Nazanin Nezami; Parian Haghighat; Denisa Gándara; Hadis Anahideh – Grantee Submission, 2024
The education sector has been quick to recognize the power of predictive analytics to enhance student success rates. However, there are challenges to widespread adoption, including the lack of accessibility and the potential perpetuation of inequalities. These challenges present in different stages of modeling, including data preparation, model…
Descriptors: Evaluation Methods, College Students, Success, Predictor Variables
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John Jerrim – Review of Education, 2023
Two commonly used approaches to capturing information about teachers are random probability surveys and teacher panels. This paper reviews the strengths and limitations of these two approaches in the context of capturing information about the teacher workforce. A case study is then presented drawing upon recent teacher survey data collections in…
Descriptors: Foreign Countries, Teacher Surveys, Data Collection, Test Construction
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Marcos Roque da Rosa; Clodis Boscarioli; Kátya Regina de Freitas Zara – International Journal of Sustainability in Higher Education, 2024
Purpose: This study aims to identify how literature has addressed sustainability reporting in universities over time and determine traceable patterns and trends. Design/methodology/approach: A comprehensive systematic review protocol of the Emerald Insight, Web of Science, Science Direct, Scopus, Springer Link and Wiley Online Library databases…
Descriptors: Sustainability, Universities, Institutional Evaluation, Reports
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Kasani, Hamed Abbasi; Mourkani, Gholamreza Shams; Seraji, Farhad; RezaeiZadeh, Morteza; Aghazadeh, Solmaz; Abedi, Hojjat – Educational Technology Research and Development, 2023
The purpose of this study was to develop and measure the usability of the software prototype of formative assessment in the LMS. This study was applied in terms of research objective and mixed method (qualitative-quantitative) in terms of data collection in which an exploratory sequential mixed methods design was used. In addition, in order to…
Descriptors: Computer Software, Formative Evaluation, Usability, Design
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Caspar J. Van Lissa; Eli-Boaz Clapper; Rebecca Kuiper – Research Synthesis Methods, 2024
The product Bayes factor (PBF) synthesizes evidence for an informative hypothesis across heterogeneous replication studies. It can be used when fixed- or random effects meta-analysis fall short. For example, when effect sizes are incomparable and cannot be pooled, or when studies diverge significantly in the populations, study designs, and…
Descriptors: Hypothesis Testing, Evaluation Methods, Replication (Evaluation), Sample Size
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Keser, Sinem Bozkurt; Aghalarova, Sevda – Education and Information Technologies, 2022
Education plays a major role in the development of the consciousness of the whole society. Education has been improved by analyzing educational data related to student academic performance. By using data mining techniques and algorithms on data from the educational environment, students' performances can be predicted. In this study, a novel Hybrid…
Descriptors: Grade Prediction, Academic Achievement, Data Analysis, Data Collection
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Mthuli, Syanda Alpheous; Ruffin, Fayth; Singh, Nikita – International Journal of Social Research Methodology, 2022
Qualitative research sample size determination has always been a contentious and confusing issue. Studies are often vague when explaining the processes and justifications that have been used to determine sample size and strategy. Some provide no mention of sampling at all, whilst others rely too heavily on the concept of saturation for determining…
Descriptors: Qualitative Research, Sample Size, Sampling, Research Problems
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Marjahan Begum; Pontus Haglund; Ari Korhonen; Violetta Lonati; Mattia Monga; Filip Strömbäck; Artturi Tilanterä – Informatics in Education, 2024
There can be many reasons why students fail to answer correctly to summative tests in advanced computer science courses: often the cause is a lack of prerequisites or misconceptions about topics presented in previous courses. One of the ITiCSE 2020 working groups investigated the possibility of designing assessments suitable for differentiating…
Descriptors: Foreign Countries, College Students, Prerequisites, Computer Science Education
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Dogan, Esra; Bay, Erdal; Dös, Bülent – International Education Studies, 2023
This study analyzed studies done in Turkey in the context of curriculum evaluation (CE) by asking, "How is it made? The study was carried out in two stages. In the first stage, the document analysis method used 215 theses written between 1991 and 2020 on CE were analyzed according to the "thesis review form." In the second stage,…
Descriptors: Curriculum Evaluation, Evaluation Methods, Foreign Countries, Theses
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Irina Bauer; Tanja Kunz; Tobias Gummer – International Journal of Social Research Methodology, 2025
In web surveys, no interviewer is present to clarify question comprehension problems, which can be particularly prevalent among respondents with low literacy skills. Although plain language is used in various contexts to improve text comprehensibility, its use in social science questionnaires has not been investigated to date. Using a…
Descriptors: Foreign Countries, Online Surveys, Data Collection, Questionnaires
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