Distorting Value Added: The Use of Longitudinal, Vertically Scaled Student Achievement Data for Growth-Based, Value-Added Accountability  

Oleh:

Martineau, Joseph A.

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: Journal Of Educational And Behavioral Statistics vol. 31 no. 1 (2006), page 35-62.
Topik: accountability; measurement of change; multidimensionality; school effects; teacher effects; validity; value-added models; vertical scaling
Fulltext: 35.pdf (470.19KB)

Isi artikel

Longitudinal, student performance-based, value-added accountability models have become popular of late and continue to enjoy increasing popularity. Such models require student data to be vertically scaled across wide grade and developmental ranges so that the value added to student growth/achievement by teachers, schools, and districts may be modeled in an accurate manner. Many assessment companies provide such vertical scales and claim that those scales are adequate for longitudinal value-added modeling. However, psychometricians tend to agree that scales spanning wide grade/developmental ranges also span wide content ranges, and that scores cannot be considered exchangeable along the various portions of the scale. This shift in the constructs being measured from grade to grade jeopardizes the validity of inferences made from longitudinal value-added models. This study demonstrates mathematically that the use of such “construct-shifting” vertical scales in longitudinal, value-added models introduces remarkable distortions in the value-added estimates of the majority of educators. These distortions include (a) identification of effective teachers/schools as ineffective (and vice versa) simply because their students’ achievement is outside the developmental range measured well by “appropriate” grade-level tests, and (b) the attribution of prior teacher/school effects to later teachers/schools. Therefore, theories, models, policies, rewards, and sanctions based upon such value-added estimates are likely to be invalid because of distorted conclusions about educator effectiveness in eliciting student growth. This study identifies highly restrictive scenarios in which current value-added models can be validly applied in high-stakes and low-stakes research uses. This article further identifies one use of student achievement data for growth-based, value-added modeling that is not plagued by the problems of construct shift: the assessment of an upper grade content (e.g., fourth grade) in both the grade below and the appropriate grade to obtain a measure of student gain on a grade-specific mix of constructs. Directions for future research on methods to alleviate the problems of construct shift are identified as well.

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