A New Lens on High School Dropout: Use of Correspondence Analysis and the Statewide Longitudinal Data System. Issue 2 (3rd April 2018)
- Record Type:
- Journal Article
- Title:
- A New Lens on High School Dropout: Use of Correspondence Analysis and the Statewide Longitudinal Data System. Issue 2 (3rd April 2018)
- Main Title:
- A New Lens on High School Dropout: Use of Correspondence Analysis and the Statewide Longitudinal Data System
- Authors:
- Ziemer, Kathryn Schaefer
Pires, Bianica
Lancaster, Vicki
Keller, Sallie
Orr, Mark
Shipp, Stephanie - Abstract:
- ABSTRACT: The combination of log-linear models and correspondence analysis have long been used to decompose contingency tables and aid in their interpretation. Until now, this approach has not been applied to the education Statewide Longitudinal Data System (SLDS), which contains administrative school data at the student level. While some research has been conducted using the SLDS, its primary use is for state education administrative reporting. This article uses the combination of log-linear models and correspondence analysis to gain insight into high school dropouts in two discrete regions in Kentucky, Appalachia and non-Appalachia, defined by the American Community Survey. The individual student records from the SLDS were categorized into one of the two regions and a log-linear model was used to identify the interactions between the demographic characteristics and the dropout categories, push-out and pull-out. Correspondence analysis was then used to visualize the interactions with the expanded push-out categories, boredom, course selection, expulsion, failing grade, teacher conflict, and pull-out categories, employment, family problems, illness, marriage, and pregnancy to provide insights into the regional differences. In this article, we demonstrate that correspondence analysis can extend the insights gained from SDLS data and provide new perspectives on dropouts. Supplementary materials for this article are available online.
- Is Part Of:
- American statistician. Volume 72:Issue 2(2018)
- Journal:
- American statistician
- Issue:
- Volume 72:Issue 2(2018)
- Issue Display:
- Volume 72, Issue 2 (2018)
- Year:
- 2018
- Volume:
- 72
- Issue:
- 2
- Issue Sort Value:
- 2018-0072-0002-0000
- Page Start:
- 191
- Page End:
- 198
- Publication Date:
- 2018-04-03
- Subjects:
- Correspondence analysis -- High school dropout -- Log-linear models -- Statewide Longitudinal Data System
Statistics -- Periodicals
001.42205 - Journal URLs:
- http://www.tandfonline.com/loi/utas20 ↗
http://www.catchword.com/titles/10857117.htm ↗
http://www.tandf.co.uk/journals/UTAS ↗
http://www.tandfonline.com/toc/utas20/current ↗
http://www.tandfonline.com/ ↗ - DOI:
- 10.1080/00031305.2017.1322002 ↗
- Languages:
- English
- ISSNs:
- 0003-1305
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 0857.650000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 6790.xml