This study presents several multivariate Generalizability theory designs for analyzing automatic item-generated (AIG) based test forms. The study used real data to illustrate the analysis procedure and discuss practical considerations. We collected the data from two groups of students, each group receiving a different form generated by AIG. A…

In this digital ITEMS module, Dr. Jeffrey Harring and Ms. Tessa Johnson introduce the linear mixed effects (LME) model as a flexible general framework for simultaneously modeling continuous repeated measures data with a scientifically defensible function that adequately summarizes both individual change as well as the average response. The module…

In this digital ITEMS module, Nikole Gregg and Dr. Brian Leventhal discuss strategies to ensure data visualizations achieve graphical excellence. Data visualizations are commonly used by measurement professionals to communicate results to examinees, the public, educators, and other stakeholders. To do so effectively, it is important that these…

MicroCAT version 3.0--an integrated test development, administration, and analysis system--is reviewed in this first article of a series on testing software. A framework for comparing testing software is presented. The strength of this package lies in the development, banking, and administration of items composed of text and graphics. (SLD)

How computers are used to analyze item data is reviewed, and the information that existing item-analysis programs provide is described. Summaries of studies comparing the performance of some of these packages reveal some of their current limitations. Emphasis is on the usefulness to educational practice of these packages. (SLD)