This paper provides a tutorial on epistemic network analysis (ENA), a novel method for identifying and quantifying connections among elements in coded data and representing them in dynamic network models. Such models illustrate the structure of connections and measure the strength of association among elements in a network, and they quantify…

This "Practitioner's Guide to Growth Models," commissioned by the Technical Issues in Large-Scale Assessment (TILSA) and Accountability Systems & Reporting (ASR), collaboratives of the "Council of Chief State School Officers," describes different ways to calculate student academic growth and to make judgments about the…

Although millions of dollars and weeks of instructional time are spent nationally on testing students, educators often have little information on how to choose appropriate assessments of adolescent reading for informing instruction. This guide is designed to meet that need, by drawing together evidence about nine of the most commonly-used,…

This paper recommends use of analysis of covariance in early intervention research to account for pretreatment group differences and increase statistical power. Diagrams show how analysis of covariance manipulates data under various conditions. Simulated data analysis demonstrates the process of selecting covariates and shows the results with and…

This monograph covers the theory, application, and interpretation of both descriptive and inferential statistical techniques in institutional research. Each chapter opens with a hypothetical case study, which is used to illustrate the application of one or more statistical procedures to typical research questions. Chapter 2 covers the comparison…