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On Demand CPD

Yes, But Did They Improve? Data Analysis for Intervention Response


Domain 1, 2, 3, 4
Credit(s): 1 Documented CPD/CE Credits/Hours
Original Program Date: May 11, 2022
Duration: 59 minutes
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    Category: MTSS/RTI, Assessment, Research and Evaluation
    Category: MTSS/RTI, Assessment, Research and Evaluation (show less)
    You’ve identified who needs to be at which tier. You’ve provided an empirically supported intervention. You’ve tracked the data correctly. Now you must decide on the child’s needs regarding future interventions or diagnostic placement. This workshop will teach you three ways to make these decisions: trend analysis, effect size, and gap analysis. The presenter will provide tools and guides to aid in each of these data analysis methods. Participants will be provided examples and practice opportunities to make sure that each model is clear and applicable in their own practice.

    Learner Objectives:
    This session helps participants to:
    1. Analyze MTSS data using size reporting,
    2. Analyze MTSS data using percent nonoverlapping data (PND), and
    3. Analyze MTSS data using trends analysis.
    1 Documented CPD/CE Credits/Hours   NASP is approved by the American Psychological Association to sponsor continuing education for psychologists. NASP maintains responsibility for this program and its content. NASP is a Washington Clock Hours Approved Provider. Individuals credentialed in Washington state can report clock hours by completing this form: https://bit.ly/clock_hrs

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    Purchase Options

    Add to CartOn Demand CPD
    Nonmember Price
    $45.00
       
    Member Price
    $30.00
    NASP strives to provide an inclusive, accessible experience that enables all individuals to engage and participate fully in our programming. Participants with a disability covered under the ADA (Public Law 101-336, Section 102) who require accommodation should contact onlinelearning@naspweb.org to request the specific accommodation required. Requests received less than two weeks prior to an event cannot be guaranteed.
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