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Averi Pakulis; Nadia Gronkowski – First Focus on Children, 2024
Home visiting connects expectant parents, new caregivers, and their young children with a support person, called a home visitor. The home visitor meets regularly with the family, develops a relationship with them, and supports them to achieve their goals and meet their needs. To reach the thousands of additional families who could benefit from…
Descriptors: Community Programs, Home Programs, Models, Language Usage
Siddiqi, Javaid; Sims, Patrick C.; Goff, Allison L. – Hunt Institute, 2019
The rise of data collection in the public and private sectors has presented policymakers with an unprecedented opportunity to leverage vast amounts of data to create more efficient systems, improve program performance, and drive equitable outcomes. Empowering policymakers and practitioners with functional access to accurate data has the potential…
Descriptors: Longitudinal Studies, Data Collection, Data Analysis, Data Use
Leung-Gagné, Melanie; Levin, Stephanie; Wechsler, Marjorie E. – Learning Policy Institute, 2022
This technical supplement provides details on the survey methodology and results presented in the report "Developing Effective Principals: What Kind of Learning Matters?" The full report shows that principals' access to high-quality learning opportunities varies across states and by school poverty level. To draw these conclusions, the…
Descriptors: Principals, Administrator Effectiveness, Administrator Education, Management Development
National Center for Education Statistics, 2023
The Civil Rights Data Collection (CRDC), formerly known as the Elementary and Secondary School Civil Rights Survey, is a part of the U.S. Department of Education's (ED's) Office for Civil Rights (OCR) strategy for administering and enforcing civil rights laws in U.S. public school districts and schools, including Puerto Rico.The CRDC collects a…
Descriptors: Civil Rights, Student Rights, Data, Information Utilization
Dempsey, Terri L. – RTI International, 2018
Attention to mixed methods studies research has increased in recent years, particularly among funding agencies that increasingly require a mixed methods approach for program evaluation. At the same time, researchers operating within large-scale, rapid-turnaround research projects are faced with the reality that collection and analysis of large…
Descriptors: Qualitative Research, Mixed Methods Research, High Schools, Educational Research
Cornman, Stephen Q.; Zhou, Lei; Ampadu, Osei; D'Antonio, Laura; Gromos, David; Wheeler, Stephen – National Center for Education Statistics, 2018
This report presents school-level finance data on expenditures by function from the School-Level Finance Survey (SLFS). The SLFS is an extension of two existing collections being conducted by the National Center for Education Statistics (NCES) in collaboration with the Census Bureau: the School District Finance Survey (F-33) and the state-level…
Descriptors: Educational Finance, Data Collection, Feasibility Studies, Elementary Secondary Education
Glander, Mark; Cornman, Stephen Q.; Zhou, Lei; Noel, Amber M.; Nakamoto, Nanae – National Center for Education Statistics, 2018
The Teacher Compensation Survey (TCS) was a research and development effort by the National Center for Education Statistics (NCES) to explore the possibility of developing an administrative records survey that would compile compensation and demographic data on all public school teachers in the nation. A pilot survey in 2007 collected data from…
Descriptors: Compensation (Remuneration), Public School Teachers, Data Collection, Research Problems
Guest, Greg; Namey, Emily; Taylor, Jamilah; Eley, Natalie; McKenna, Kevin – International Journal of Social Research Methodology, 2017
Qualitative researchers often have to decide whether to collect data using focus groups or individual interviews. We systematically compare these two methods on their ability to generate two types of information: unique items in a brainstorming task and personally sensitive disclosures. Our study sample consisted of 350 African-American men living…
Descriptors: Focus Groups, Interviews, Randomized Controlled Trials, Qualitative Research
Bastian, Kevin C.; Fortner, C. Kevin; Chapman, Alisa; Fleener, M. Jayne; McIntyre, Ellen; Patriarca, Linda A. – Teachers College Record, 2016
Background/Context: Teacher preparation programs (TPPs) face increasing pressure from the federal government, states, and accreditation agencies to improve the quality of their practices and graduates, yet they often do not possess enough data to make evidence-based reforms. Purpose/Objective: This manuscript has four objectives: (a) to present…
Descriptors: Teacher Education Programs, Teacher Competencies, Accountability, Program Evaluation
Crossley, Scott; Barnes, Tiffany; Lynch, Collin; McNamara, Danielle S. – International Educational Data Mining Society, 2017
This study takes a novel approach toward understanding success in a math course by examining the linguistic features and affect of students' language production within a blended (with both on-line and traditional face to face instruction) undergraduate course (n=158) on discrete mathematics. Three linear effects models were compared: (a) a…
Descriptors: Success, Mathematics Instruction, Language Usage, Blended Learning
Glennie, Elizabeth J.; Charles, Karen J.; Rice, Olivia N. – Science Educator, 2017
Examining repeated classroom encounters over time provides a comprehensive picture of activities. Studies of instructional practices in classrooms have traditionally relied on two methods: classroom observations, which are expensive, and surveys, which are limited in scope and accuracy. Teacher logs provide a "real-time" method for…
Descriptors: Classroom Environment, Classroom Techniques, Transcripts (Written Records), Educational Practices
Sorensen, Lucy C. – Educational Administration Quarterly, 2019
Purpose: In an era of unprecedented student measurement and emphasis on data-driven educational decision making, the full potential for using data to target resources to students has yet to be realized. This study explores the utility of machine-learning techniques with large-scale administrative data to identify student dropout risk. Research…
Descriptors: At Risk Students, Dropouts, Data Collection, Data Analysis
Laird, Shelby Gull; Nelson, Stacy A. C.; Stubbs, Harriett S.; James, April L.; Menius, Erika – Applied Environmental Education and Communication, 2012
Complex environmental problems call for unique solutions to monitoring efforts alongside developing a more environmentally literate citizenry. Community-based monitoring (CBM) through the use of volunteer monitoring organizations helps to provide a part of the solution, particularly when CBM groups work with research scientists or government…
Descriptors: Quality Control, Environmental Education, Data Collection, Scientists
Lamm, Alexa J.; Israel, Glenn D.; Diehl, David – Journal of Extension, 2013
In order to enhance Extension evaluation efforts it is important to understand current practices. The study reported here researched the evaluation behaviors of county-based Extension professionals. Extension professionals from eight states (n = 1,173) responded to a survey regarding their evaluation data collection, analysis, and reporting…
Descriptors: Extension Education, Extension Agents, Experimenter Characteristics, Program Evaluation
Olaniyi, Olusola Ademola; Olaniyi, Olanike Oluwakemi; Olaniyi, Oluwasemire Ayotunji; Lowe-Nicolas, Serign Omar; Dumeh, Raymond Nwinkom; Omojowo, Adetokunbo Omotade – Online Submission, 2015
(Purpose) The purpose of this study was to examine the effect of math teacher program on students' performances in math teacher training programs in five selected colleges in North Carolina. (Methodology) This study collected 300 data (150 pre-tests and 150 post-tests) data of college students enrolled in the five selected colleges. The ANOVA and…
Descriptors: Mathematics, Mathematics Instruction, Mathematics Teachers, Academic Achievement