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Qiyang Zhang; Marta Pellegrini; Francesco Marsili – Society for Research on Educational Effectiveness, 2023
Background: Searching the literature and screening studies are two key stages to build a strong foundation for a quality systematic review. Low-quality handsearching and citation chasing processes may lead to missing relevant studies, while low-quality study screening may lead to human errors and a lengthy process (Haddaway et al., 2022; Zhang…
Descriptors: Educational Research, Research Tools, Computer Software, Citations (References)
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Brandon Sepulvado; Jennifer Hamilton – Society for Research on Educational Effectiveness, 2022
Background/Context: Application Programming Interfaces (APIs) are becoming a core means to collect and disseminate data for education research and policy. Surveys can be costly, slow, and burden respondents, and manually downloading data files is slow and cumbersome when many files are needed. APIs provide a programmatic way to collect data or…
Descriptors: Data Collection, Computer Software, Educational Research, Access to Information
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Xue Wang; Gaoxiang Luo – Society for Research on Educational Effectiveness, 2024
Background: Despite the usefulness of systematic reviews and meta-analyses, they are time-consuming and labor-intensive (Michelson & Reuter, 2019). The technological advancements in recent years have led to the development of tools aimed at streamlining the processes of systematic reviews and meta-analyses. Innovations such as Paperfetcher…
Descriptors: Meta Analysis, Artificial Intelligence, Computational Linguistics, Computer Software
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Qiyang Zhang; Amanda J. Neitzel; Robert Slavin – Society for Research on Educational Effectiveness, 2021
Background: Rigorous meta-analysis holds promise to answer the ultimate important question in education: which interventions work and for whom? Evidence-based reform in education has contributed to a proliferation of well-designed experiments in recent years, which calls for updated systematic reviews. However, this proliferation is a double-edged…
Descriptors: Educational Research, Literature Reviews, Meta Analysis, Selection Tools
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Ann A. O'Connell; Nivedita Bhaktha; Jing Zhang – Society for Research on Educational Effectiveness, 2021
Background: Counts are familiar outcomes in education research settings, including those involving tests of interventions. Clustered data commonly occur in education research studies, given that data are often collected from students within classrooms or schools. There is a wide array of distributions and models that can be used for clustered…
Descriptors: Hierarchical Linear Modeling, Educational Research, Statistical Distributions, Multivariate Analysis
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Kristin Porter; Luke Miratrix; Kristen Hunter – Society for Research on Educational Effectiveness, 2021
Background: Researchers are often interested in testing the effectiveness of an intervention on multiple outcomes, for multiple subgroups, at multiple points in time, or across multiple treatment groups. The resulting multiplicity of statistical hypothesis tests can lead to spurious findings of effects. Multiple testing procedures (MTPs)…
Descriptors: Statistical Analysis, Hypothesis Testing, Computer Software, Randomized Controlled Trials
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Brandon Sepulvado; Jennifer Hamilton – Society for Research on Educational Effectiveness, 2021
Background: Traditional survey efforts to gather outcome data at scale have significant limitations, including cost, time, and respondent burden. This pilot study explored new and innovative large-scale methods of collecting and validating data from publicly available sources. Taking advantage of emerging data science techniques, we leverage…
Descriptors: Automation, Data Collection, Data Analysis, Validity
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Karen Levesque; Sarah Bardack; Abraham Bahlibi; Antonie Chigeda; Symon Winiko – Society for Research on Educational Effectiveness, 2022
Background: Malawi's primary education system made progress in increasing access to school over the last decade, but is challenged to provide quality learning in the face of expanding enrollment (World Bank 2021). By Standard 4, 19 percent of students still score zero on Standard 1 math items and only 22 percent are able to comprehend a short…
Descriptors: Foreign Countries, COVID-19, Pandemics, Elementary Education
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Kelcey, Ben; Dong, Nianbo; Spybrook, Jessaca – Society for Research on Educational Effectiveness, 2017
The purpose of this study is to disseminate the results of recent advances in statistical power analyses with regard to multilevel mediation and its implementation in the PowerUp!-Mediator software. The authors first focus on the conceptual and statistical differences among common asymptotic, component-wise, and resampling-based tests of mediation…
Descriptors: Computer Software, Research Design, Statistical Analysis, Hierarchical Linear Modeling
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Dong, Nianbo; Spybrook, Jessaca; Kelcey, Ben – Society for Research on Educational Effectiveness, 2017
The purpose of this paper is to present results of recent advances in power analyses to detect the moderator effects in Cluster Randomized Trials (CRTs). This paper focus on demonstration of the software PowerUp!-Moderator. This paper provides a resource for researchers seeking to design CRTs with adequate power to detect the moderator effects of…
Descriptors: Computer Software, Research Design, Randomized Controlled Trials, Statistical Analysis
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Tiffany Wu; Christina Weiland – Society for Research on Educational Effectiveness, 2024
Background/Context: Chronic absenteeism is a serious problem that has been linked to lower academic achievement, diminished socioemotional skills, and an increased likelihood of high school dropout (Allensworth et al., 2021; Gottfried, 2014). As a result, many schools have begun to embrace early warning systems (EWS) as a tool to identify and flag…
Descriptors: Attendance, Early Childhood Education, Intervention, Artificial Intelligence
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Matthew E. Foster – Society for Research on Educational Effectiveness, 2021
Background/Context: Despite the surge in efficacy studies, a recent meta-analysis indicates that the relative effectiveness of any two math interventions is largely unknown (Nelson & McMaster, 2019). Additionally, policy makers rarely choose educational programs based on an assessment of costs and cost-effectiveness (Hollands et al., 2016;…
Descriptors: Costs, Cost Effectiveness, Mathematics Instruction, Numeracy