Statistical and Research Methodology in Education (Methods) - 84.305D

Statistical and Research Methodology in Education (Methods) - 84.305D is sponsored by U.S. Department of Education, Institute of Education Sciences (IES), National Center for Education Research (NCER). This grant program supports the development of new methodological approaches, extends and improves existing methods, and creates other tools to enhance the ability of researchers to conduct high-quality, scientific education research.

Statistical and Research Methodology in Education | IES Statistical and Research Methodology in Education The goal of the Statistical and Research Methodology in Education (Stats/Methods) grant program (84. 305D) is to provide a wide range of methodological and statistical tools that will better enable applied education scientists to conduct rigorous education research.

Through this grant program, IES invites applications to develop new methodological approaches, to extend and improve existing methods, and to create other tools that can enhance the ability of researchers to conduct high quality, scientific education research. Currently, Stats/Methods grants are divided into Core (previously Regular) grants and Toolkits grants.

Core grants last a maximum of 3 years, with a maximum award amount of $900,000 to support the development of new and improved statistical and research methods and their dissemination to education researchers.

Toolkit grants last a maximum of 2 years, with a maximum award amount $350,000 to support the compilation of existing research and information for a given method into toolkits, guidelines, compendia, and review papers that help education researchers understand and apply the method.

IES originally supported research on statistical and research methodology through the Unsolicited Grant Opportunities and funded 14 projects before the decision was made to establish a separate Stats/Methods grant program.

In 2009, IES established the Stats/Methods grant program which included the Regular (now Core) grants which support the development of new and improved statistical and research methods and their dissemination to education researchers.

In 2014, the Stats/Methods Early Career grant topic was introduced to give early career methodologists an opportunity to apply for a smaller grant in a context that was set off from the applications submitted by well-established methodologists. In FY 2024, the Stats/Methods Early Career topic was incorporated into the Research Training Programs in the Education Sciences grant program (84.

305B) as part of the new Early Career Development and Mentoring Program for Education Research topic so that early career researchers would receive support for both research and professional development. Fourteen Early Career grants had been awarded before the move.

In 2022, the Toolkits, Guidelines, Compendia, Review Papers, and Curated Data Resources Grants (Toolkits) grant topic was added to support the compilation of existing research and information for a given method into products that help education researchers understand and apply a specific method.

The topic was expanded in 2024 to include funding for curated data resources, reflecting demand from the field for tools to address the ever-growing body of publicly available educational data. Five Toolkit grants have been awarded. Between 2004 and 2024, IES has invested more than $86 million, supporting 128 Stats/Methods grants: 14 under Unsolicited, 95 Regular or Core grants, 14 Early Career grants, and 5 Toolkits grants.

Why is Stats/Methods Unique? Many grant competitions held by IES are intended to support research that directly affects students and/or teachers in the classroom. The field, however, also needs to advance in terms of how research is conducted.

Through the Stats/Methods program, grantees conduct research that helps applied researchers address challenges often encountered in education research, such as missing data, measurement error, small samples, the clustered nature of most group-design research, and the frequent phase shifts typically found in single-case research.

Grantees have helped advance educational research by developing methods and guidelines for meta-analysis and systematic replication and are developing and evaluating AI and data science tools.

Stats/Methods grants are unique in that they rarely involve collecting data from people and rely on secondary data, Monte Carlo simulations, mathematical derivations, and the creation of new software to refine and develop designs and analyses which applied researchers use for collecting, analyzing, and interpreting data from education settings.

The methodological research supported by IES has made useful contributions to the field, including: A substantial body of research spanning more than a decade on the use of value-added modeling in education; Software (e.g., the Generalizer ) that allows researchers to obtain intraclass correlations and other statistics useful for planning experiments, organized within grade level and school district; Further development of the HLM software package, particularly its capacity to handle missing data imputation in multilevel models; Advances in the application of inferential statistics to single-case data and development of effect size indices for single-case research, implemented in software such as ABk-power , singlecasemva , and PowerSCED ; Development of causal inference methods for RCTs as well as quasi-experimental designs, as implemented in packages including shinyRDD , KonFound-it!

, flps , augsynth and balancer ; Theoretical and computational advances in measurement and the software available to analyze item responses such as bspam , regDIF and dynamicfit ; The development of Stan , a widely-used software package for Bayesian modeling, including multilevel modeling, and multilevel structural equation.

The 128 Stats/Methods grants have investigated a broad array of important topics, including estimation of treatment effect heterogeneity, additional advances in missing data imputation, continued development of effect size indices for single-case research, development of advanced IRT techniques which include projects with potential implications for NAEP, and advances in software for computing and interpreting statistical power analyses.

Related Projects and Programs Resources for Researchers NCES Statistical Standards Program WWC Procedures and Handbooks Methods Training for Education Research Methods Training for Special Education Research Sharing Study Data: A Guide for Education Researchers Enhancing the Generalizability of Impact Studies in Education The BASIE (BAyeSian Interpretation of Estimates) Framework for Interpreting Findings from Impact Evaluations: A Practical Guide for Education Researchers Education Research Analyst Statistical and Research Methodology in Education — 84.

305D In this Request for Applications (RFA), NCER invites applications for projects that will contribute to its Statistical and Research Met... Propensity Score Analysis of Multilevel Data: A Systematic Review Statistical Tools for Generalizing in Education Research Curating School Demographic Data for Education Research Toolkit for Examining Measurement Invariance to Support High-Quality Measures