Applied Shewhart Charts in Education to Understand Chronic Absenteeism across the State of California: A Methods Application
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| Title: | Applied Shewhart Charts in Education to Understand Chronic Absenteeism across the State of California: A Methods Application |
|---|---|
| Language: | English |
| Authors: | Erica Geary, Lloyd Provost (ORCID |
| Source: | Practical Assessment, Research & Evaluation. 2026 31(1). |
| Availability: | University of Massachusetts Amherst Libraries. 154 Hicks Way, Amherst, MA 01003. e-mail: pare@umass.edu; Web site: https://openpublishing.library.umass.edu/pare/ |
| Peer Reviewed: | Y |
| Page Count: | 33 |
| Publication Date: | 2026 |
| Document Type: | Journal Articles Reports - Research |
| Descriptors: | Charts, Attendance, COVID-19, Pandemics, Attendance Patterns, Data Analysis, County School Districts, Improvement, Educational Trends |
| Geographic Terms: | California |
| ISSN: | 1531-7714 |
| Abstract: | Chronic absenteeism rates in the State of California doubled from 14.3% to 30% during the COVID-19 Pandemic. This paper introduces the use of Shewhart charts to identify schools exhibiting special cause (good) variation in chronic absenteeism rates across California that can provide insight into practices and policies that can improve attendance. First, an analysis of difference was conducted -- a form of time series analysis allowing the investigators to detect unusually (special cause) good/rapid improvement in chronic absenteeism rates by a school from the pandemic high (using I or Individuals charts to detect special causes or bright spots). Second, a cohort analysis was conducted -- analyzing the most recent absenteeism data, 2023-2024, in schools across counties (using P charts to detect bright spots). Both datasets were joined, identifying 36 "super" bright spots or schools with both rapid improvement from 2022 to 2024 and lower chronic absenteeism in 2024. A subset of these schools was interviewed to discover common practices. The RAISE Network provides an initial package of change ideas (evidence-based practices) to schools and districts that can be used to inform policy and practice in regards to improving chronic absenteeism. |
| Abstractor: | As Provided |
| Entry Date: | 2026 |
| Accession Number: | EJ1495810 |
| Database: | ERIC |
| FullText | Text: Availability: 0 CustomLinks: – Url: https://eric.ed.gov/contentdelivery/servlet/ERICServlet?accno=EJ1495810 Name: ERIC Full Text Category: fullText Text: Full Text from ERIC |
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| Items | – Name: Title Label: Title Group: Ti Data: Applied Shewhart Charts in Education to Understand Chronic Absenteeism across the State of California: A Methods Application – Name: Language Label: Language Group: Lang Data: English – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Erica+Geary%22">Erica Geary</searchLink><br /><searchLink fieldCode="AR" term="%22Lloyd+Provost%22">Lloyd Provost</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0002-3724-0038">0000-0002-3724-0038</externalLink>)<br /><searchLink fieldCode="AR" term="%22Brandon+Bennett%22">Brandon Bennett</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0003-0460-6475">0000-0003-0460-6475</externalLink>) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="SO" term="%22Practical+Assessment%2C+Research+%26+Evaluation%22"><i>Practical Assessment, Research & Evaluation</i></searchLink>. 2026 31(1). – Name: Avail Label: Availability Group: Avail Data: University of Massachusetts Amherst Libraries. 154 Hicks Way, Amherst, MA 01003. e-mail: pare@umass.edu; Web site: https://openpublishing.library.umass.edu/pare/ – Name: PeerReviewed Label: Peer Reviewed Group: SrcInfo Data: Y – Name: Pages Label: Page Count Group: Src Data: 33 – Name: DatePubCY Label: Publication Date Group: Date Data: 2026 – Name: TypeDocument Label: Document Type Group: TypDoc Data: Journal Articles<br />Reports - Research – Name: Subject Label: Descriptors Group: Su Data: <searchLink fieldCode="DE" term="%22Charts%22">Charts</searchLink><br /><searchLink fieldCode="DE" term="%22Attendance%22">Attendance</searchLink><br /><searchLink fieldCode="DE" term="%22COVID-19%22">COVID-19</searchLink><br /><searchLink fieldCode="DE" term="%22Pandemics%22">Pandemics</searchLink><br /><searchLink fieldCode="DE" term="%22Attendance+Patterns%22">Attendance Patterns</searchLink><br /><searchLink fieldCode="DE" term="%22Data+Analysis%22">Data Analysis</searchLink><br /><searchLink fieldCode="DE" term="%22County+School+Districts%22">County School Districts</searchLink><br /><searchLink fieldCode="DE" term="%22Improvement%22">Improvement</searchLink><br /><searchLink fieldCode="DE" term="%22Educational+Trends%22">Educational Trends</searchLink> – Name: Subject Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22California%22">California</searchLink> – Name: ISSN Label: ISSN Group: ISSN Data: 1531-7714 – Name: Abstract Label: Abstract Group: Ab Data: Chronic absenteeism rates in the State of California doubled from 14.3% to 30% during the COVID-19 Pandemic. This paper introduces the use of Shewhart charts to identify schools exhibiting special cause (good) variation in chronic absenteeism rates across California that can provide insight into practices and policies that can improve attendance. First, an analysis of difference was conducted -- a form of time series analysis allowing the investigators to detect unusually (special cause) good/rapid improvement in chronic absenteeism rates by a school from the pandemic high (using I or Individuals charts to detect special causes or bright spots). Second, a cohort analysis was conducted -- analyzing the most recent absenteeism data, 2023-2024, in schools across counties (using P charts to detect bright spots). Both datasets were joined, identifying 36 "super" bright spots or schools with both rapid improvement from 2022 to 2024 and lower chronic absenteeism in 2024. A subset of these schools was interviewed to discover common practices. The RAISE Network provides an initial package of change ideas (evidence-based practices) to schools and districts that can be used to inform policy and practice in regards to improving chronic absenteeism. – Name: AbstractInfo Label: Abstractor Group: Ab Data: As Provided – Name: DateEntry Label: Entry Date Group: Date Data: 2026 – Name: AN Label: Accession Number Group: ID Data: EJ1495810 |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eric&AN=EJ1495810 |
| RecordInfo | BibRecord: BibEntity: Languages: – Text: English PhysicalDescription: Pagination: PageCount: 33 Subjects: – SubjectFull: Charts Type: general – SubjectFull: Attendance Type: general – SubjectFull: COVID-19 Type: general – SubjectFull: Pandemics Type: general – SubjectFull: Attendance Patterns Type: general – SubjectFull: Data Analysis Type: general – SubjectFull: County School Districts Type: general – SubjectFull: Improvement Type: general – SubjectFull: Educational Trends Type: general – SubjectFull: California Type: general Titles: – TitleFull: Applied Shewhart Charts in Education to Understand Chronic Absenteeism across the State of California: A Methods Application Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Erica Geary – PersonEntity: Name: NameFull: Lloyd Provost – PersonEntity: Name: NameFull: Brandon Bennett IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2026 Identifiers: – Type: issn-electronic Value: 1531-7714 Numbering: – Type: volume Value: 31 – Type: issue Value: 1 Titles: – TitleFull: Practical Assessment, Research & Evaluation Type: main |
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