Search Results: (16-24 of 24 records)
|REL 2015046||A Primer for Analyzing Nested Data: Multilevel Modeling in SPSS Using an Example from a REL Study
Analyzing data that possess some form of nesting is often challenging for applied researchers or district staff who are involved in or in charge of conducting data analyses. This report provides a description of the challenges for analyzing nested data and provides a primer of how multilevel regression modeling may be used to resolve these challenges. An illustration from the companion report, The correlates of academic performance for English language learner students in a New England district (REL 2014–020), is provided to show how multilevel modeling procedures are used and how the results are interpreted.
|REL 2015049||Using Administrative Data for Research: A Companion Guide to A Descriptive Analysis of the Principal Workforce in Florida Schools
This report outlines the processes and procedures used to analyze data from the Florida education staffing database. The report also provides directions and examples for conducting similar work using administrative databases.
|REL 2014042||The College Readiness Data Catalog Tool: User Guide
The College Readiness Data Catalog Tool and User Guide enable states, districts and other educational entities to assess the presence of college readiness indicators in extant data sets and identify gaps that may present challenges in developing future indicator systems. The College Readiness Data Catalog tool is a flexible Excel workbook that provides a shell for organizing and tracking student data relevant for measuring college readiness. The user guide also includes a sample data catalog summary report and a template for a data catalog summary report. Created by REL Northeast and Islands for the US Virgin Islands College and Career Readiness Research Alliance, the tool may be used by any educational organization to determine whether it has sufficient data to study college readiness indicators.
|REL 2014064||Reporting What Readers Need to Know about Education Research Measures: A Guide
This brief provides five checklists to help researchers provide complete information describing (1) their study's measures; (2) data collection training and quality; (3) the study's reference population, study sample, and measurement timing; (4) evidence of the reliability and construct validity of the measures; and (5) missing data and descriptive statistics. The brief includes an example of parts of a report's methods and results section illustrating how the checklists can be used to check the completeness of reporting.
|REL 2014035||Speak Out, Listen Up! Tools for Using Student Perspectives and Local Data for School Improvement
Listening closely to what students say about their school experiences can be beneficial to educators for understanding and addressing school-related topics and problems and rethinking policies and practices. The purpose of this toolkit is to provide educators with a purposeful and systematic way to elicit and listen to student voice to inform school improvement efforts. School improvement is complex work that relies on multiple sources of information to frame challenges and address and monitor change efforts. Student voice brings an additional, important source of information to these efforts. The toolkit offers three tools. ASK (Analyzing Surveys with Kids) involves students in analyzing and interpreting survey results associated with a school-related topic or problem and then producing suggestions for school improvement. Inside-Outside Fishbowl organizes a special kind of focus group in which students and educators trade roles as speakers and listeners during a facilitated discussion of a school-related topic or problem, and jointly develop an action plan. S4 (Students Studying Students’ Stories) guides a digital storytelling process in which students produce and analyze videotaped interviews of other students about a school-related topic or problem and then host forums with educators to suggest improvements. The toolkit includes detailed information about how the tools work, the questions they address, the number and types of participants needed, the amount of time required, space and materials considerations, and directions for using the tools. It also includes a tool template so schools and districts can create new student voice tools for their particular needs and interests.
|REL 2013001||Five Steps for Structuring Data-Informed Conversations and Action in Education
This facilitation guide shows education data teams how to move beyond simply reporting data to applying data to direct strategic action. Using guiding questions, suggested activities, and activity forms, this guide provides education data teams with a framework and the tools and vocabulary needed to support an informed conversation around the data they generate or acquire. The guide walks data teams through five key steps in using data for informed decision making and strategic action: setting the stage, examining the data, understanding the findings, developing an action plan, and monitoring progress and measuring success.
|NCES 2011802||Traveling Through Time: The Forum Guide to Longitudinal Data Systems Book IV: Advanced LDS Usage
This document, Book Four of Four: Advanced LDS Usage, is the fourth and final installment of this Forum series of guides on longitudinal data systems (LDS). One goal of the Forum is to improve the quality of education data gathered for use by policymakers and program decisionmakers. An approach to furthering this goal has been to pool the collective experiences of Forum members to produce “best practice” guides in areas of high interest to those who collect, maintain, and use data about elementary and secondary education. Developing LDSs is one of those high-interest areas. These systems hold promise for enhancing both the way education agencies use data to serve students and the way they do business, from the policy level to the school office and into the classroom.
|NCEE 20114019||Baseline Analyses of SIG Applications and SIG-Eligible and SIG-Awarded Schools
The Study of School Turnaround is an examination of the implementation of School Improvement Grants (SIG) authorized under Title I section 1003(g) of the Elementary and Secondary Education Act and supplemented by the American Recovery and Reinvestment Act of 2009. "Baseline Analyses of SIG Applications and SIG-Eligible and SIG-Awarded Schools" uses publicly-available data from State Education Agency (SEA) websites, SEA SIG applications, and the National Center for Education Statistics' Common Core of Data to examine the following: (1) the SIG related policies and practices that states intend to implement, and (2) the characteristics of SIG eligible and SIG awarded schools. This first report provides context on SIG.
|NFES 2009805||Forum Guide to Metadata
The Meaning Behind Education Data
The Forum Guide to Metadata empowers people to more effectively use data as information. This guide includes definition of metadata; why metadata are critical to the development of sound education systems; what components comprise a metadata system; what value metadata bring to data management and use; and how to implement and use a metadata system in an education organization.