A Process for Reviewing and Evaluating Generated Test Items

Testing organization needs large numbers of high‐quality items due to the proliferation of alternative test administration methods and modern test designs. But the current demand for items far exceeds the supply. Test items, as they are currently written, evoke a process that is both time‐consuming and expensive because each item is written, edited, and reviewed by a subject‐matter expert. One promising approach that may address this challenge is with automatic item generation. Automatic item generation combines cognitive and psychometric modeling practices to guide the production of items that are generated with the aid of computer technology. The purpose of this study is to describe and illustrate a process that can be used to review and evaluate the quality of the generated item by focusing on the content and logic specified within the item generation procedure. We illustrate our process using an item development example from mathematics drawn from the Common Core State Standards and from surgical education drawn from the health sciences domain.     

Methodological Choices in the Content Analysis of Textbooks for Measuring Alignment With Standards

With the recent adoption of the Common Core standards in many states, there is a need for quality information about textbook alignment to standards. While there are many existing content analysis procedures, these generally have little, if any, validity or reliability evidence. One exception is the Surveys of Enacted Curriculum (SEC), which has been widely used to analyze the alignment among standards, assessments, and teachers’ instruction. However, the SEC can be time‐consuming and expensive when used for this purpose. This study extends the SEC to the analysis of entire mathematics textbooks and investigates whether the results of SEC alignment analyses are affected if the content analysis procedure is simplified. The results indicate that analyzing only every fifth item produces nearly identical alignment results with no effect on the reliability of content analyses.     

Eating Attitudes and Behaviors Among Female College Students

The authors assessed the influences of several risk factors—self‐esteem, history of unwanted sexual contact (USC), depression, and sorority membership—on eating‐related and weight‐related attitudes and behaviors. Findings provide support for the roles of self‐esteem, depression, and USC on restricting attitudes. According to the authors' model, these independent variables predicted restricting attitudes that then predicted restricting behaviors. Implications for preventive interventions and the study's limitations are discussed.