A Dataset of Dropout Rates and Other School-Level Variables in Louisiana Public High Schools

被引:1
|
作者
Stein, Michael [1 ]
Leitner, Michael [2 ]
Trepanier, Jill C. [2 ,3 ]
Konsoer, Kory [2 ,3 ]
机构
[1] City Baton Rouge & Parish East Baton Rouge, Dept Informat Serv, GIS Sect, Baton Rouge, LA 70802 USA
[2] Louisiana State Univ, Dept Geog & Anthropol, Baton Rouge, LA 70803 USA
[3] Louisiana State Univ, Coastal Studies Inst, Baton Rouge, LA 70803 USA
关键词
open data; dropout rate; Louisiana; high school;
D O I
10.3390/data7040048
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Students dropping out of high school is a nationwide problem in the United States, plaguing communities and often greatly reducing the prospects of a quality life for those students who do not complete their high school education. The state of Louisiana consistently has among the highest public high school dropout rates in the United States and, often, the highest. This massive dataset of school variables covering a duration of five academic years (2014-2015 to 2018-2019) was originally compiled with the intention of identifying the factors that correlate with high school dropouts in Louisiana public high schools, specifically. However, it can be useful to any researchers interested in analyzing school-level data concerning a wide range of variables beyond merely dropout rates. This dataset also contains socioeconomic demographics, financial variables, class size, and much more. The correlation analyses ultimately revealed many intriguing insights into the relationships between the tested variables and the dropout rates. Dataset: The complete dataset, titled "A Dataset of Dropout Rates and Other School-Level Variables in Louisiana Public High Schools", is published here on Zenodo, an online data repository managed by CERN. The Digital Object Identifier (DOI) of this dataset is 10.5281/zenodo.6382661. Assuming normal connectivity, the Excel spreadsheet should take no longer than 30 s to download. In the event that this link no longer provides you access to the dataset, please see the Data Availability Statement or contact Michael Stein via his permanent email address at mstein23@protonmail.com, and he will send you the dataset directly.
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页数:10
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