Screening for Giftedness Using a Reading Curriculum Based Measure.

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Title: Screening for Giftedness Using a Reading Curriculum Based Measure.
Authors: McClurg, Virginia M.1 (AUTHOR) vjacobs@vols.utk.edu, Codalata, Bonnie M.1 (AUTHOR), Bell, Sherry M.1 (AUTHOR), McCallum, R. Steve1 (AUTHOR)
Source: Gifted Child Today Magazine. Jan2022, Vol. 45 Issue 1, p50-57. 8p. 2 Charts.
Subject Terms: *Gifted & talented education, *Reading, *Curriculum, Standard deviations, High school sophomores, Tallies
Abstract: The psychometric integrity of a curriculum-based measure to screen for academic giftedness (Monitoring Instructional Responsiveness: Reading [MIR:R]) was evaluated by examining its ceiling, item gradient, and predictive capacity using 460 fourth grade students. Eighty fourth graders (17.39%) scored one standard deviation above the MIR:R mean. Ten fourth graders (2.17%) scored two or more standard deviations above the mean, indicating an adequate ceiling. Item gradients were sufficient, that is, one raw score change produced less than one-third of a standard deviation change in standard deviation units. The MIR:R accurately screened students who performed in the "advanced" range on an end-of-the-year measure (i.e., Tennessee Comprehensive Assessment Program [TCAP]). Results of a chi-square indicated that 78.3% were identified as non-gifted by both the TCAP and MIR:R and 5.9% were identified as gifted. [ABSTRACT FROM AUTHOR]
Copyright of Gifted Child Today Magazine 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.)
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  Data: Screening for Giftedness Using a Reading Curriculum Based Measure.
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  Data: <searchLink fieldCode="JN" term="%22Gifted+Child+Today+Magazine%22">Gifted Child Today Magazine</searchLink>. Jan2022, Vol. 45 Issue 1, p50-57. 8p. 2 Charts.
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  Data: *<searchLink fieldCode="DE" term="%22Gifted+%26+talented+education%22">Gifted & talented education</searchLink><br />*<searchLink fieldCode="DE" term="%22Reading%22">Reading</searchLink><br />*<searchLink fieldCode="DE" term="%22Curriculum%22">Curriculum</searchLink><br /><searchLink fieldCode="DE" term="%22Standard+deviations%22">Standard deviations</searchLink><br /><searchLink fieldCode="DE" term="%22High+school+sophomores%22">High school sophomores</searchLink><br /><searchLink fieldCode="DE" term="%22Tallies%22">Tallies</searchLink>
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  Data: The psychometric integrity of a curriculum-based measure to screen for academic giftedness (Monitoring Instructional Responsiveness: Reading [MIR:R]) was evaluated by examining its ceiling, item gradient, and predictive capacity using 460 fourth grade students. Eighty fourth graders (17.39%) scored one standard deviation above the MIR:R mean. Ten fourth graders (2.17%) scored two or more standard deviations above the mean, indicating an adequate ceiling. Item gradients were sufficient, that is, one raw score change produced less than one-third of a standard deviation change in standard deviation units. The MIR:R accurately screened students who performed in the "advanced" range on an end-of-the-year measure (i.e., Tennessee Comprehensive Assessment Program [TCAP]). Results of a chi-square indicated that 78.3% were identified as non-gifted by both the TCAP and MIR:R and 5.9% were identified as gifted. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Gifted Child Today Magazine 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: 10.1177/10762175211050703
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        Text: English
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      – SubjectFull: Standard deviations
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              Text: Jan2022
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