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Sarah Hensley; Janet Fox; Missy Cummins; Meggan Franks; Marianne Bird; Cindy Wells; JoLynn Miller – Journal of Extension, 2024
Cooperative Extension professionals utilize proven qualitative techniques to collect and analyze information to make data-driven decisions that guide program direction and determine impact. While the process may not always look the same, it is indeed essential to ensure findings are credible and reflective of the data. A codebook is a valuable…
Descriptors: Youth Clubs, Nonprofit Organizations, Extension Education, Data Use
Wu, Wei; Jia, Fan – New Directions for Child and Adolescent Development, 2021
Longitudinal panel studies are widely used in developmental science to address important research questions on human development across the lifespan. These studies, however, are often challenging to implement. They can be costly, time-consuming, and vulnerable to test--retest effects or high attrition over time. Planned missingness designs (PMDs),…
Descriptors: Longitudinal Studies, Research Design, Data Analysis, Developmental Psychology
Jeremy Roschelle; Adam Schellinger – Digital Promise, 2024
SEERNet digital learning platforms (DLPs) are developing new infrastructure to support research in authentic contexts where student learning is happening. In order to contextualize this work within the larger field, we trace historical precedents along four main categories: data repositories, data collection services, research design interfaces,…
Descriptors: Electronic Learning, Data Collection, Research Design, Communities of Practice
Howard, Jeffrey N. – Practical Assessment, Research & Evaluation, 2022
The Student Evaluation of Teaching (SET) instrument provides insight for instructors and administrators alike, often touting high response-rates to endorse their validity and reliability. However, response-rate alone omits consideration for "adequate quantity of 'observational sampling opportunity' (OSO) data points" (e.g., high student…
Descriptors: Student Evaluation of Teacher Performance, Validity, Reliability, Longitudinal Studies
Amaliah, Dewi; Cook, Dianne; Tanaka, Emi; Hyde, Kate; Tierney, Nicholas – Journal of Statistics and Data Science Education, 2022
Textbook data is essential for teaching statistics and data science methods because it is clean, allowing the instructor to focus on methodology. Ideally textbook datasets are refreshed regularly, especially when they are subsets taken from an ongoing data collection. It is also important to use contemporary data for teaching, to imbue the sense…
Descriptors: Statistics Education, Data Science, Textbooks, Data Analysis
Duprey, Michael A.; Pratt, Daniel J.; Wilson, David H.; Jewell, Donna M.; Brown, Derick S.; Caves, Lesa R.; Kinney, Satkartar K.; Mattox, Tiffany L.; Ritchie, Nichole Smith; Rogers, James E.; Spagnardi, Colleen M.; Wescott, Jamie D. – National Center for Education Statistics, 2020
The nine appendices in this publication accompany the full report, "High School Longitudinal Study of 2009 (HSLS:09) Postsecondary Education Transcript Study and Student Financial Aid Records Collection. Data File Documentation. NCES 2020-004" (ED607366). They include: (1) Glossary of Terms; (2) Student Financial Aid Records Instrument…
Descriptors: Longitudinal Studies, High School Students, Data Collection, Academic Records
Education Trust-West, 2019
With Governor Newsom's signature on the state budget in June 2019, California is finally on the path to joining the majority of other states in the country who have robust data systems. Having this administration provide funding to begin to build and maintain a statewide longitudinal data system (SLDS) is an important win. Advocates have been…
Descriptors: Longitudinal Studies, Data Collection, Equal Education, Family Involvement
Nellum, Christopher J. – Education Trust-West, 2019
California needs better data on the state's education systems to uncover and remedy systemic, long-standing racial and socioeconomic inequities. To create more just institutions, students, families, policymakers, educators, and advocates need access to quality, disaggregated data that allows them to answer questions about how well the state's…
Descriptors: Equal Education, Evidence Based Practice, Educational Policy, Longitudinal Studies
Hustedt, Beth; Franklin, Jeff; Tate, Nicole – New Directions for Institutional Research, 2019
We discuss methods that can improve response rates in large-scale cross-sectional and longitudinal studies. Regardless of the specific study topic, sample member population, or method of contact, data collections should be designed with certain core principles in mind: legitimizing the study to prospective participants; presenting study…
Descriptors: Data Collection, Longitudinal Studies, Surveys, Response Rates (Questionnaires)
Wu, Wei; Jia, Fan; Kinai, Richard; Little, Todd D. – International Journal of Behavioral Development, 2017
Spline growth modelling is a popular tool to model change processes with distinct phases and change points in longitudinal studies. Focusing on linear spline growth models with two phases and a fixed change point (the transition point from one phase to the other), we detail how to find optimal data collection designs that maximize the efficiency…
Descriptors: Longitudinal Studies, Data Collection, Models, Change
John W. Gardner Center for Youth and Their Communities, 2022
This study explores the ways in which local students experience housing instability--and how cross-sector strategies can better identify and serve these students. The report accompanying this brief considers a rich set of school administrative data, collected over the course of three school years prior to the COVID-19 pandemic: 2016-17 through…
Descriptors: Housing, Homeless People, Place of Residence, Counties
Holcombe, Rebecca – Vermont Agency of Education, 2017
The Vermont Agency of Education (AOE), through funding from a 4.9 million dollar grant from the U.S. Department of Education, is in the final stages of developing and implementing a Statewide Longitudinal Data System (SLDS) to support the work of the AOE and Vermont school districts. A significant portion of the federal award supports the creation…
Descriptors: State Policy, Longitudinal Studies, Data Collection, Program Implementation
Bouchey, Heather – Vermont Agency of Education, 2018
As communicated via a November 2017 memo (see ED610130), the Vermont Agency of Education (AOE), in collaboration with their implementation vendor Houghton Mifflin Harcourt (HMH), has been working to finalize the design, development, and testing of a Statewide Longitudinal Data System (SLDS). Through its Vertical Reporting processes, the SLDS will…
Descriptors: State Programs, Longitudinal Studies, State Policy, Program Design
Townsend, Brian – Vermont Agency of Education, 2017
In 2012, the Vermont Agency of Education (Agency) was awarded a Statewide Longitudinal Data Systems (SLDS) grant from the United States Department of Education (USDOE). The nearly $4.95 Million SLDS grant award will be used to fund the Vermont Automated Data Reporting (VADR) project. The VADR project will establish a K-12 data system that will…
Descriptors: Educational Legislation, State Legislation, Longitudinal Studies, State Aid
Data Quality Campaign, 2021
The 2020 election brought about legislative change across the country. New and veteran policymakers need information about the schools in their state. What programs are the most cost effective and work best for students? How can states attract and retain great teachers? What information do parents need to ensure that their kids are on track to…
Descriptors: Educational Policy, Policy Formation, Data Collection, Data Analysis