The purpose of this qualitative study was to use an Appreciative Inquiry (AI) approach to discover generative instructional and assessment practices of teachers in the language arts classroom at a 5th and 6th grade low socioeconomic public school campus in Texas that earned five distinctions or three consecutive years. The study sought to design a…

The release of the Common Core State Standards for Mathematics and their adoption across the United States calls for careful attention to the alignment between mathematics standards and assessments. This study investigates 2 models that measure alignment between standards and assessments, the Surveys of Enacted Curriculum (SEC) and the Webb…

Assessment for Learning for elementary classroom is a concept that aims to stimulate self learning and development among the student via assessment model. This research aimed to 1) develop an Assessment for Learning Model for elementary classroom and 2) test and assess the outcome of our model. The authors utilized interviewing, questionnaire and…

This paper investigates whether inferences about school performance based on longitudinal models are consistent when different assessments and metrics are used as the basis for analysis. Using norm-referenced (NRT) and standards-based (SBT) assessment results from panel data of a large heterogeneous school district, we examine inferences based on…

Over the past decade, educational policy trends have shifted to a focus on examining students' growth from kindergarten through twelfth grade (K-12). One way states can track students' growth is with a vertical scale. Presently, every state that uses a vertical scale bases the scale on a unidimensional IRT model. These models make a…

The Texas Assessment of Academic Skills (TAAS) test was the major source of data for the Texas educational accountability system from 1994 through 2002. Contrary to critics who claim that TAAS data are invalid and unreliable measures of student performance, structural equation analyses of TAAS reading data based on the 1994 Texas third grade…

Nonrandom assignment of students to teachers can bias value-added estimates of teachers' causal effects. Rothstein (2008, 2010) shows that typical value-added models indicate large counterfactual effects of fifth-grade teachers on students' fourth-grade learning, indicating that classroom assignments are far from random. This article quantifies…