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Graph as You Go: Practitioner-Friendly Data Collection and Analysis.

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Title: Graph as You Go: Practitioner-Friendly Data Collection and Analysis.
Authors: Whiteside, Erinn E.1 (AUTHOR) erinnwhiteside@tamu.edu
Source: Teaching Exceptional Children. Jan2026, Vol. 58 Issue 3, p186-193. 8p.
Subject Terms: *Individualized education programs, *Data-based decision making in education, *Academic support programs, *Formative evaluation, *Special education, Data visualization, Acquisition of data
Abstract: The article focuses on the "Graph as You Go" data collection method, a formative assessment tool designed to help teachers systematically monitor and analyze student progress on individualized education program (IEP) goals. This method supports educators, particularly in special education, by providing a simple, visual way to record correct and incorrect responses for discrete or task-analyzed skills, facilitating data-driven instructional decisions. Through step-by-step guidance and classroom vignettes, the article illustrates how teachers can prepare, implement, analyze, and share data using this tool to individualize instruction, identify learning barriers, and engage students and families in the progress-monitoring process. The approach aligns with high-leverage practices recommended by the Council for Exceptional Children and addresses common challenges teachers face with data collection and reporting. [Extracted from the article]
Copyright of Teaching Exceptional Children is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Education Research Complete
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  Data: Graph as You Go: Practitioner-Friendly Data Collection and Analysis.
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  Data: <searchLink fieldCode="AR" term="%22Whiteside%2C+Erinn+E%2E%22">Whiteside, Erinn E.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> erinnwhiteside@tamu.edu</i>
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  Data: <searchLink fieldCode="JN" term="%22Teaching+Exceptional+Children%22">Teaching Exceptional Children</searchLink>. Jan2026, Vol. 58 Issue 3, p186-193. 8p.
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  Data: *<searchLink fieldCode="DE" term="%22Individualized+education+programs%22">Individualized education programs</searchLink><br />*<searchLink fieldCode="DE" term="%22Data-based+decision+making+in+education%22">Data-based decision making in education</searchLink><br />*<searchLink fieldCode="DE" term="%22Academic+support+programs%22">Academic support programs</searchLink><br />*<searchLink fieldCode="DE" term="%22Formative+evaluation%22">Formative evaluation</searchLink><br />*<searchLink fieldCode="DE" term="%22Special+education%22">Special education</searchLink><br /><searchLink fieldCode="DE" term="%22Data+visualization%22">Data visualization</searchLink><br /><searchLink fieldCode="DE" term="%22Acquisition+of+data%22">Acquisition of data</searchLink>
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  Data: The article focuses on the "Graph as You Go" data collection method, a formative assessment tool designed to help teachers systematically monitor and analyze student progress on individualized education program (IEP) goals. This method supports educators, particularly in special education, by providing a simple, visual way to record correct and incorrect responses for discrete or task-analyzed skills, facilitating data-driven instructional decisions. Through step-by-step guidance and classroom vignettes, the article illustrates how teachers can prepare, implement, analyze, and share data using this tool to individualize instruction, identify learning barriers, and engage students and families in the progress-monitoring process. The approach aligns with high-leverage practices recommended by the Council for Exceptional Children and addresses common challenges teachers face with data collection and reporting. [Extracted from the article]
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  Data: <i>Copyright of Teaching Exceptional Children is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1177/00400599251346716
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      – SubjectFull: Individualized education programs
        Type: general
      – SubjectFull: Data-based decision making in education
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      – SubjectFull: Academic support programs
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      – SubjectFull: Formative evaluation
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      – SubjectFull: Special education
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      – SubjectFull: Data visualization
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      – SubjectFull: Acquisition of data
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              Text: Jan2026
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