December 12, 2017

NASP Workshop 2012

Thanks to everyone who came out to the workshop session yesterday! Our workshop focused several aspects of rate of improvement including (a) how we arrived at the conclusion that rate of improvement is a meaningful statistic that can be used as part of data-based decision-making, and a need to be consistent with how to calculate, graph, and interpret rate of improvement. It was a great opportunity for us to work with practitioners and educators interested in the topic of student growth in relation to eligibility decision-making.  While a presentation that incorporates technology, especially the variability between software versions can be daunting, we seemed to get through the workshop in a way that reached everyone. However, if you have lingering questions, feel free to email us! We will be posting the latest PowerPoint to the Downloads section of the site this weekend. We appreciate feedback, comments, and questions! We are hoping to be invited to present again at next year’s convention in Seattle, WA!

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About Caitlin

Caitlin Flinn Bennyhoff, D.Ed., NCSP, is currently employed as a Nationally Certified School Psychologist in Pennsylvania. She completed her doctoral degree in school psychology at Indiana University of Pennsylvania. Her main interests include response-to-intervention, systems-level change, measuring student growth, and data analysis teams.

Comments

  1. Pam Gray says:

    Change comes so slowly in my district I am considered to be a lone-star maverick from another planet! I have taken stat classes, have done an ANOVA by hand, and still own an old mac with Statview installed on it. None of this seems to matter. I am talking gibberish to them. I put together the Excel spreadsheet for all my students and printed graph after graph after graph with ROI statistics at the ready. I offered to help all the other sped staff and Title folks do the same and I even promised it would take less than 15 minutes to put together their first one. Was told to cease and desist with such activity. If I use the linear regression method I could be written up for being insubordinate. No joke. And I work in a public school district.

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