Place, Poverty, and Algebra: A Statewide Comparative Spatial Analysis of Variable Relationships

Place matters in moderating variable relationships between algebra performance and educational variables because there are differences on the socioeconomic (SES) poverty-affluence continuum that shape local contexts. This article examines relationships between variables for school district demograph...

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Main Authors: Mark C. Hogrebe, William F. Tate
Format: Article
Language:English
Published: Columbia University Libraries 2013-01-01
Series:Journal of Mathematics Education at Teachers College
Online Access:https://journals.library.columbia.edu/index.php/jmetc/article/view/746
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spelling doaj-84c6d220ce6344e8b6fc436c97ea9fe72020-11-25T02:00:30ZengColumbia University LibrariesJournal of Mathematics Education at Teachers College2156-14002156-13972013-01-013210.7916/jmetc.v3i2.746Place, Poverty, and Algebra: A Statewide Comparative Spatial Analysis of Variable RelationshipsMark C. Hogrebe0William F. Tate1Washington University in St. LouisWashington University in St. LouisPlace matters in moderating variable relationships between algebra performance and educational variables because there are differences on the socioeconomic (SES) poverty-affluence continuum that shape local contexts. This article examines relationships between variables for school district demographic composition, teaching and financial contexts, student behavior variables, and Algebra I performance as measured by a statewide test aggregated at the district level. The purpose is to investigate how these relationships vary across 471 districts within a state using spatial mapping. Local R2’s from geographically weighted regressions (GWR) are mapped using a geographic information system (GIS) to demonstrate variation in relationships across districts. Results show the importance of allowing relationships to “vary” between local contexts and that using a global measure of variable relationships based on aggregated data fails to capture important local variation. This analysis suggests that policy focused on addressing the influence of poverty on algebra performance should be targeted based on region specific models.https://journals.library.columbia.edu/index.php/jmetc/article/view/746
collection DOAJ
language English
format Article
sources DOAJ
author Mark C. Hogrebe
William F. Tate
spellingShingle Mark C. Hogrebe
William F. Tate
Place, Poverty, and Algebra: A Statewide Comparative Spatial Analysis of Variable Relationships
Journal of Mathematics Education at Teachers College
author_facet Mark C. Hogrebe
William F. Tate
author_sort Mark C. Hogrebe
title Place, Poverty, and Algebra: A Statewide Comparative Spatial Analysis of Variable Relationships
title_short Place, Poverty, and Algebra: A Statewide Comparative Spatial Analysis of Variable Relationships
title_full Place, Poverty, and Algebra: A Statewide Comparative Spatial Analysis of Variable Relationships
title_fullStr Place, Poverty, and Algebra: A Statewide Comparative Spatial Analysis of Variable Relationships
title_full_unstemmed Place, Poverty, and Algebra: A Statewide Comparative Spatial Analysis of Variable Relationships
title_sort place, poverty, and algebra: a statewide comparative spatial analysis of variable relationships
publisher Columbia University Libraries
series Journal of Mathematics Education at Teachers College
issn 2156-1400
2156-1397
publishDate 2013-01-01
description Place matters in moderating variable relationships between algebra performance and educational variables because there are differences on the socioeconomic (SES) poverty-affluence continuum that shape local contexts. This article examines relationships between variables for school district demographic composition, teaching and financial contexts, student behavior variables, and Algebra I performance as measured by a statewide test aggregated at the district level. The purpose is to investigate how these relationships vary across 471 districts within a state using spatial mapping. Local R2’s from geographically weighted regressions (GWR) are mapped using a geographic information system (GIS) to demonstrate variation in relationships across districts. Results show the importance of allowing relationships to “vary” between local contexts and that using a global measure of variable relationships based on aggregated data fails to capture important local variation. This analysis suggests that policy focused on addressing the influence of poverty on algebra performance should be targeted based on region specific models.
url https://journals.library.columbia.edu/index.php/jmetc/article/view/746
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