IDEA Data The U.S. Department of Education introduced a Results-Driven Accountability (RDA) framework in 2014 to emphasize the simultaneous importance of state education agencies ensuring compliance with Individuals with Disabilities Education Act (IDEA, 2004) and improving student outcomes. States must collect accurate data regarding LEA implementation of services and student outcomes and use those data to drive statewide program improvements. …
WIOA Data
WIOA Data The Rehabilitation Services Administration encourages state vocational rehabilitation agencies to examine the data collected by the VR program for continuous improvement, enhanced collaboration, and maximizing high-quality employment opportunities for individuals, including students and youth, served by VR (source: ReThink VR Performance Plan, 2019). Resources and updates to support state agencies with regard to data collection in the context …
Student & Youth Level Data
Student/Youth Level Data This subtopic identifies information and resources focused on collecting and using data to inform instructional decisions as well as individualized plans for students and youth. Using multiple quality sources of data helps student/youth-serving personnel make decisions related to the selection of effective practices and programs that lead to improved achievement. Data may provide an objective perspective on …
Data Collection & Use
Data Collection & Use Whether you are planning instruction or services from individual skill and preference assessments or making funding decisions based on large program outcomes, collecting, analyzing, and using data are critical pieces of doing good work. Data-driven decision-making is important to quality services. Find tools and support to collect, analyze, and use data relevant to secondary students and …
Indicator 13 FAQs
These tools can assist in evaluating to what extent IEPs meet the minimum transition compliance requirements under IDEA.
Response Calculator for Indicator 14
Resource designed to support state education agencies determine if their post-school outcomes (Indicator 14) data is representative of the demographics of youth who are no longer in secondary school and had IEPs in effect at the time they left school.
Predictor Implementation School/District Self-Assessment (PISA)
The Guide for Using the PISA provides information about the process that a school-level team should use to complete the PISA.
Core Data Tools for Dropout Prevention
A set of Excel-based data tools to help districts and schools organize, examine, analyze, and share their data that impact graduation and dropout rates.
State Toolkit for Examining Post-School Success (STEPSS)
STEPSS is a web-based, data decision-making tool designed to support disseminating and using data related to secondary transition programs for youth with disabilities.
Transition Gradebook
The Transition Gradebook is a locally served database application that records transition-related activities.