Monday, April 28, 2014

Final Project: United States SAT Map

Introduction
At present, in the United States there are two major college preparedness exams: the Scholastic Aptitude Test (SAT) and the American College Testing (ACT) exam.  Both of these standardized exams are traditionally taken by graduating high school students and are utilized by colleges to assess these prospective students in terms of mathematics, reading comprehension, and critical thinking.  The SAT, for which scores range from 600-2400, is published by the non-profit organization College Board and administered by the Educational Testing Service (College Board, 2014).  The ACT, ranging from 1-36, is developed by American College Testing, Inc. and was created in 1959 to be a competitor to the then-dominant SAT (erikthered.com, 2014).  In 2005, the ACT for the first time administered more tests than the SAT (ACT, 2014).  The SAT, however, is still widely used in the United States today and there may be state-by-state patterns of implementation of and performance on this exam by graduating high school students.

It is the goal of this project to generate a map that depicts two phenomena: 1) the percentage of graduating high school students in each state to take the SAT in 2013, including the District of Columbia, and 2) the mean SAT score of these students for each state.  This map will be visually inspected for any spatial patterns existing therein.

Methods
Both ArcMap (version 10.2) and Adobe Illustrator (version CS5.1) will be used to generate a United States map depicting SAT participation and performance.  The map will clearly show all states and the District of Columbia with appropriate labels.  The map will have an orientation baring (north arrow) and scale.  The two phenomena depicted will be easily discerned by the audience using an imbedded legend.  ArcMap will be used to first compile all the data and create a rough map.  Adobe Illustrator will be used to further visually enhance the map and tidy up the layout.

ArcMap
In ArcMap, a United States layer (from “Module 7: Choropleth Mapping”) will be added to a blank template.  Using the editor tool, I will add a new column to the attribute table for ‘Percent Participation’.  This field, which is the percentage of graduating high school students for each state that completed the SAT in 2013, will be entered using data provided by College Board and the Western Interstate Commission for Higher Education (WICHE).  A graduated color scheme symbology with manual breaks will be used to display this data – light states will have low percentage participation, dark with high.  Then, in layout mode, a legend, north arrow, and scale will be added to this map.  This file will then be exported to Adobe Illustrator (.ai) for further manipulation.

Adobe Illustrator
This program will be used to add a proportional (graduate) symbol scheme depicting the 2013 average SAT score per state of graduating high school students.  An Excel spreadsheet of the data from College Board and WICHE will be created for easy re-sorting, as well as calculation of sizes for proportional symbols.  These symbols will be simple solid red circles with a 60% transparency setting placed over the state label.

Results
State participation ranged from 2% to 100%, and state mean SAT scores ranged from 1200 to 1838.  States with lower participation rates had higher mean SAT scores than stares with high participation.

Discussion
The (presumably significant) negative correlation between participation rate and state mean SAT score suggests that mean SAT score may be a misleading representation of the average graduate student’s aptitude in a particular state.  While it appears that the Midwest states outperform the northeast and northwest states, this may not be actually true.  For example, only the ‘best and brightest’ may take the SAT in these states, while in states like Maine and Idaho all students take it, thus lowering the average.  Therefore, comparisons between states may not be valid.


The between state differences in participation itself, however, is worth speculation.  The spatial pattern of SAT participation may be a result of tradition.  For example, the universities in coastal states may preferentially request SAT scores to ACT scores and thus there are more students who complete them.  Alternatively, these coastal states may have higher graduation rates and more students who wish to continue on to college.  Regardless of the reasons, there is a real discrepancy between geographic location (e.g. inland vs. coastal) and SAT participation rate that is visually obvious in the map generated.

1 comment:

  1. Hi Phil,
    This is Nouran. I am almost doing the same project. I am trying to identify the relation between high school student SAT score and teacher quality. I am trying to determine if teacher quality has an impact on students' SAT score. I am just wondering where did you get the data for the SAT score in all 50 States. I have been looking for days and could not find anything. I do not have so much experience with GIS, so I would really appreciate your help

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