Trout v. Knox County Board of Education

163 F. Supp. 3d 492, 2016 WL 806870
CourtDistrict Court, E.D. Tennessee
DecidedFebruary 17, 2016
DocketCase No. 3:14-cv-49, Case No. 3:14-cv-113
StatusPublished
Cited by2 cases

This text of 163 F. Supp. 3d 492 (Trout v. Knox County Board of Education) is published on Counsel Stack Legal Research, covering District Court, E.D. Tennessee primary law. Counsel Stack provides free access to over 12 million legal documents including statutes, case law, regulations, and constitutions.

Bluebook
Trout v. Knox County Board of Education, 163 F. Supp. 3d 492, 2016 WL 806870 (E.D. Tenn. 2016).

Opinion

ORDER

HARRY S. MATTICE, JR., UNITED STATES DISTRICT JUDGE

Before the Court are Defendants’ Has-lam, Huffman, and the State of Tennessee’s (“the State Defendants”) Motion to Dismiss (Doc. 49), and Defendant Knox County Board of Education’s (“Defendant KCBE”) Motion to Dismiss (Doc. 51). For the reasons stated herein, Defendants’ Motions will be GRANTED.

I. BACKGROUND

Plaintiff Lisa Trout filed her Complaint (Doc. 1)1 on February 6, 2014 against the Knox County Board of Education. Plaintiff Mark Taylor filed his Complaint (Doc. 1 in Case No. 3:14-cv-113) on March 19, 2014 against the Knox County Board of Education, and Governor William Haslam and State Commissioner of Education Kevin Huffman, in their official capacities. The cases were consolidated on February 11, 2015 (Doc. 21) due to the significant overlap in legal and factual disputes regarding the Tennessee Value-Added Assessment System (“TVAAS”).2 Its complexity and centrality to these suits warrant an in-depth discussion of TVAAS’ methods and implications before the Court turns to Plaintiffs’ individual claims.

A. The TVAAS Statistical Method

In response to the federal government’s Race to the Top competition for federal education funding, Tennessee passed the First to the Top Act (“the Act”) in 2010. In relevant part, the Act mandates that teacher evaluations be factored into employment decisions, including promotion, retention, termination, compensation, and the attainment of tenure. Pursuant to the Act, the Tennessee State Board of Education adopted Policy 5.201, which required all schools to use teacher evaluations to inform “human capital decisions,” but did not mandate the weight these evaluations were to be given. These decisions are to be made at the local level.

[495]*495The Act and Policy 5.201 require that 35% of each teacher’s evaluation be comprised of growth data represented by TVAAS scores.3 Describing TVAAS, state law provides that

[t]he statistical system will use available and appropriate data as input to account for differences in prior student attainment, such that the impact that the teacher, school and school district have, on the educational progress of students may be estimated on a student attainment constant basis. The impact that a teacher, school or district has on the progress, or lack of progress, in educational advancement or learning of a student is referred to hereafter as the ‘effect’ of the teacher, school, or school district on the educational progress of students.

TenmCode Ann. § 49-l-603(a)(2). Furthermore, Policy 5.201 states, “[t]he primary purpose of annual teacher and principal evaluations is to identify and support instruction that will lead to high levels of student achievement.” (Doc. 50 at 2).

The main data input for TVAAS results are student test scores on standardized tests administered in the Tennessee Comprehensive Assessment Program (“TCAP”). To be clear, TVAAS scores are not a direct measure of student achievement, but rather are a measure of year-over-year increases in standardized test scores used as a proxy to estimate teacher, school, and school district effect on student learning. TVAAS results are expressed as a “test statistic,” which is a statistical method allowing one to accept or reject a “null hypothesis,” by way of statistical estimate accompanied by a “standard error.” In this case, the “null hypothesis” is that “the ‘growth’ in students’ standardized test results is equal to the mean or State growth standard.” (Doc. 56 at 9). That is, TVAAS results are generated by comparing actual student performance on standardized tests to expected performance. In general, for a test statistic to be

‘statistically significant,’ it must be “at least two standard errors above or below the mean or growth standard in order to say, with a statistically significant level of confidence (95%), that the failure to meet the growth standard (a negative test statistic) or the exceeding of the growth standard (a positive test statistic) did not occur ‘just by chance.’

(Id. at 9-10). A TVAAS test statistic of negative two (-2), or two standard errors below the growth standard, approximates with 95% confidence that a teachers’ students grew at a below-average rate. A test statistic of negative one (-1), or one standard error below the growth standard, approximates with 68% confidence that a teachers’ students grew at a below-average rate. Conversely, a test statistic of positive one ( + 1) and positive two (+2) approximate with 68% and 95% confidence, respectively, that a teachers’ students grew at an above-average rate. The brunt of Plaintiffs’ complaints about the TVAAS system amounts to a challenge of the State’s use of 68% confidence levels, that is, a level “substantially less than a ‘statistically significant’ level,” (Id. at 10), in making high-stakes employment decisions.

TVAAS test statistics are converted into a qualitative scale so that they may be factored into a teachers’ overall evaluation. The conversions, with associated confidence levels, are as follows:

5 — “Most Effective.” Test statistic = +2 = 95% confidence that a teacher’s students performed at above-average student growth.
4 — “Above Average.” Test statistic = + 1 = 68% confidence that a teacher’s [496]*496students performed at above-average student growth.
3 — “Average Effectiveness.”
2 — “Approaching Average Effectiveness.” Test statistic = -1 = 68% confidence that a teacher’s students performed at below-average student growth.
1 — “Least Effective.” Test statistic = -2 = 95% confidence that a teacher’s students performed at below-average student growth.

Therefore, Plaintiffs argue, the only TVAAS scores that are supported at a statistically significant level are 1 and 5. Furthermore, Plaintiffs claim, “[bjecause relatively large standard errors accompany individual teacher TVAAS estimates, it is not uncommon for a statistically significant 95% confidence interval to span three or more TVAAS ‘Levels.’ ” (Id. at 11). For example, a score of 3 could, with a reasonable confidence interval, actually span anywhere from 2 to 4.

Three final points about the TVAAS system merit consideration. First, the TVAAS system groups teachers into two categories. The first category is comprised of teachers who teach a subject tested by the TCAP assessments, and who have six or more full time equivalent students taking these assessments. This group of teachers receives individualized TVAAS scores based on their students’ test results, and this individualized TVAAS score comprises 35% of the teachers’ evaluations.4 The second category of teachers is comprised of teachers who do not teach tested subjects, or who have fewer than six full time equivalent students taking TCAP assessments. These teachers do not receive an individualized TVAAS score, but rather receive a system-wide TVAAS score based on the scores of all students at the teacher’s school, even those the teacher did not teach, which comprises 25% of the teachers’ evaluations.5

Second, the TVAAS model and teachers’ individual scores are based on the most recent five years of testing history for all students.

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Bluebook (online)
163 F. Supp. 3d 492, 2016 WL 806870, Counsel Stack Legal Research, https://law.counselstack.com/opinion/trout-v-knox-county-board-of-education-tned-2016.