To model students' math growth trajectory, three conventional growth curve models and three growth mixture models are applied to the Early Childhood Longitudinal Study Kindergarten-Fifth grade (ECLS K-5) dataset in this study. The results of conventional growth curve model show gender differences on math IRT scores. When holding socio-economic…

Rapid growth of Advanced Placement (AP) exams in the last 2 decades has been paralleled by national enthusiasm to promote availability and rigor of science, technology, engineering, and mathematics (STEM). Trends were examined in STEM AP to evaluate and compare growth and achievement. Analysis included individual STEM subjects and disaggregation…

Using a sample of schools testing annually in grades 9-11 with a vertically linked series of assessments, a latent growth curve model is used to model test scores with student intercepts and slopes nested within school. Missed assessments can occur because of student mobility, student dropout, absenteeism, and other reasons. Missing data…

Although debate about the adoption and implementation of the Common Core State Standards (CCSS) has been extensive, there is unanimity on the importance of college and career readiness standards. If statewide assessments are not aligned to the workplace and college requirements of reading and comprehending more complex text, then states will keep…

The present study extends recent advances coordinating research on cognition and psychometric modeling around fractions. Recent research has demonstrated that the Diagnosing Teachers' Multiplicative Reasoning Fractions survey provides information about distinct components necessary for reasoning in terms of quantities when solving fraction…

Through educational connoisseurship and criticism, this study explores how labels based on standardized student growth affect a rural school in Colorado. While the educators express intentions to help their students to demonstrate academic growth and achievement, they also have concerns that focusing on growth might compromise the well being of…

Our purpose was to examine different approaches to modeling the time-varying nature of exceptionality classification. Using longitudinal data from one state's mathematics achievement test for 28,829 students in Grades 3 to 8, we describe the reclassification rate within special education and between general and special education, and compare four…

Student Growth Percentiles (SGPs) are increasingly being used in evaluations of teacher effectiveness. This study investigates two properties of SGPs: 1) SGP sensitivity to reference group characteristics such as sample size, free and reduced lunch (FRL) status, and English language learner (ELL) status; and 2) variation in score changes across…

This document is intended to help teachers understand and create Student Learning Objectives (SLOs). This resource is a practical guide intended to provide clarity to a complex but worthwhile task. This resource may also be used by administrators for professional learning. As Utah moves toward providing a "Model for Measuring Educator…

The use of oral reading fluency (ORF) as a predominant measurement tool for identifying struggling readers has grown exponentially over the past 30 years. ORF growth using curriculum-based measures (CBM) has also become an important practical and empirical issue influencing the field. Although fluency scores have shown to be reliable predictors of…

The country is at a crossroads in implementing measures of educator effectiveness in K-12 classrooms. While the vast majority of states require student growth and achievement to be factored into teacher and principal evaluations, most states and school districts are now grappling with the practical realities of implementing these policies. In this…

Students' oral reading fluency growth from first through fourth grade was used to predict their achievement on the Stanford Achievement Test (9th ed.; SAT-9 Reading) using a latent growth model. Two conditional variables related to student status were used to determine the effects on reading performance--English language learners (ELLs) with low…

"Race to the Top"(RTT) asks that states "design and implement rigorous, transparent, and fair evaluation systems for teachers and principals that differentiate effectiveness using multiple rating categories that take into account data on student growth…as a significant factor." In its definition of student growth, RTT makes the…

Presented at the Annual National Council on Measurement in Education (NCME) in New York in March 2008. This presentation explores the growth trajectory of the SAT Reading scores and examine what demographics and variation may cause changes and affect growth.