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Response to Intervention KnowledgeBase

This KnowledgeBase archive includes content and external links that were accurate and relevant as of September 30, 2019.

The Response to Intervention KnowledgeBase is an online resource supporting educators in understanding and implementing the response to intervention (RTI) model. The National Implementation Research Network (NIRN) has identified four stages in the implementation of evidence-based strategies such as RTI. The first stage is Exploration, and it involves consideration of the essential components of RTI models and the district or school's readiness to implement an RTI model with fidelity. During the second stage, Installation, a district or school selects an RTI model and works actively to put in place all of the supports necessary for implementing the essential components. These supports can include staff member training, policies, implementation guides, forms, assessments, instructional programs, and software. The third stage is Initial Implementation, and it involves implementing the essential components. Initial Implementation can involve just a few components or teachers, and then implementation expands over time. When the majority of teachers are implementing all components of RTI with fidelity, the district or school is in the fourth stage, called Full Implementation. This KnowledgeBase is geared primarily toward those in the Exploration and Installation stages, with some resources for those in the Initial Implementation stage.

Task 2: Establish Processes for Collecting Data

Guideline: Misdirected data collection efforts may be costly in wasted time and misinformation provided. It is best first to prepare, focus on the task and then collect the data. The staff members involved with the universal screening process should define the data collection processes prior to conducting the screening. The resources provided offer information the school staff members need to get organized for the data collection process.

resources

Tools

Data Analysis for Instructional Decision Making: Team Process Script

The Data Analysis for Instruction Decision Making: Team Process Script is based on Kovaleski and Pedersen's work on best practices related to data analysis. As noted at the RTI Action Network website, "It lists, in chronological order, the items that should be discussed, prompts that encourage discussion and decision making and suggestions for record keeping at each step."


Screening and Intervention Record Form

This link is to the Screening and Intervention Record form. As noted at the RTI Action Network website, data teams should consider such a form "to record current student performance, goals, strategies discussed, strategies chosen, students considered for tiered services and decisions made regarding student placement."

Practical Tips

RTI Data-Based Decision Making Improving Student Success

This link to the June 2018 NDMTSS (North Dakota Multi Tiered Support System) Playbook, "Improving Student Success," by providing an overview, practice filesNDMTSS worksheets and PTR Tools for data-based decision making within the context of RTI. 

References

The RTI Data Analysis Teaming Process

This RTI Action Network article, authored by Indiana University of Pennsylvania's Joseph F. Kovaleski, Megan Roble and Michelle Agne, explores a teaming process for data analysis.

Presentations

RTI for English Language Learners: Appropriate Screening, Progress Monitoring and Instructional Planning

In this webinar, Dr. Julie Esparza Brown, Dr. Amanda Sanford and Erin Lolich focus on improving educational outcomes for English Language Learners (ELLs) through culturally and linguistically responsive implementation of an RTI framework in the area of elementary reading. Specifically, it discusses critical considerations to appropriately utilize screening and progress monitoring data with ELL students to improve reading outcomes by addressing the factors that influence ELL students' academic success. The webinar includes recommendations for the appropriate selection and use of screening and progress monitoring data based on students' unique backgrounds and needs and uses a case study to illustrate these recommendations with a first grade ELL student. Slides