Not As Good As You Think – Texas

Not As Good As You Think – Texas

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Parents know how important good schools are when deciding where to live. That’s why many are willing to stretch their budgets for a home near a “good” school. But parents should not be convinced by tree-line neighborhoods and pricey homes – the neighborhood schools may not be as good as they think, according to the findings in the new study, “Not as Good as You Think: Why Middle-Class Parents in Texas Should Be Concerned about Their Local Public Schools”, published by the Pacific Research Institute. Texas parents may be alarmed to discover that in a significant number of public schools located in middle class and affluent areas throughout the state — more than half of the students are not proficient in English or math in at least one grade level.

Further, hundreds of public schools in middle class and affluent areas have at least one grade level where student proficiency is lower than the average performance of schools with similar income demographics.

To learn more about a particular school or school district, type the name in the Search box on the screen. If you are unable to find your school, it means that it did not meet the criteria of a non-low income school defined in the study as a school where 33 percent or fewer of the students qualify for the National School Lunch Program (NSLP).

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HOW TO READ THE TABLES

% Low-Income – The percentage of economically disadvantaged students in the school. The study only includes schools in which 33 percent or fewer of the students qualify for the National School Lunch Program (NSLP).

ELA Prof. Less than 50%/Math Prof. Less than 50% – The number of grades in the school in which 50 percent or more of the students scored less than proficient (Recommended Level II-Satisfactory Academic Performance) on the State of Texas Assessments of Academic Readiness (STAAR) in English language arts/reading or math.

ELA Prof. Below LR/Math Prof. Below LR – A technique called linear regression-line modeling (LR in the tables) was used to show a relationship between the percentage of students in a school who are classified as low-income and the percentage of students who score proficient (Recommended Level II-Satisfactory Academic Performance) or above on the State of Texas Assessments of Academic Readiness (STAAR) in English language arts (ELA) or math for a particular grade level. This analysis for each grade in ELA/reading and math allows for the identification of schools that are performing above or below average performance based on the

performance of all the other schools in the state. This column shows the number of grades at that school that were below the average performance of all other schools with the same percentage of low-income students.

% ELA Prof./% Math Prof. –
The percentage of students that scored proficient (Recommended Level II-Satisfactory Academic Performance) or above on the State of Texas Assessments of Academic Readiness (STAAR) in English-language-arts/reading or math.

ELA LR Gap/Math LR Gap – A technique called linear regression modeling (LR in the tables) was used to estimate whether a relationship exists between the percentage of students in a school who are classified as low-income and the percentage of students who score proficient (Recommended Level II-Satisfactory Academic Performance) or above on the State of Texas Assessments of Academic Readiness (STAAR) in English language arts/reading or math. This column shows the percentage points above or below the average (the linear regression line) for that grade based on the percentage of students who are low-income and the percentage of students who scored proficient or higher. A positive number means that the school is performing above the average and a negative number means that the school is performing below average. The higher or lower the percentage, the larger the gap from the average.

Green Bar Indicates Schools that have No Grades with Less than 50% Proficiency and No Negative Positions Below ELA/Math Regression Lines

Nothing contained in this blog is to be construed as necessarily reflecting the views of the Pacific Research Institute or as an attempt to thwart or aid the passage of any legislation.