This study explored the interaction between student characteristics and the online environment in predicting course performance and subsequent college persistence among students in a large urban U.S. university system. Multilevel modeling, propensity score matching, and the KHB decomposition method were used. The most consistent pattern observed…

The 2011 NAEP-TIMSS linking study conducted by the National Center for Education Statistics (NCES) was designed to predict Trends in International Mathematics and Science Study (TIMSS) scores for the U.S. states that participated in 2011 National Assessment of Educational Progress (NAEP) mathematics and science assessment of eighth-grade students.…

This report is Part I of a 3 part project report on THE VALIDATION OF A BIOGRAPHICAL INVENTORY AS A PREDICTOR OF COLLEGE SUCCESS. This part, dealing with the development and validation of a scoring key for the Biographical Inventory, covers the major quantitative analysis of the data. Part II is concerned with sociometric and interview contingency…

Focusing on student retention and time to degree completion, this study illustrates how institutional researchers may benefit from the power of predictive analyses associated with data-mining tools. The following are appended: (1) Predictors; and (2) Variable Definitions. (Contains 5 figures.)

Indices of motivation and demand developed to forecast postsecondary enrollment in Manitoba, Canada, are described. The indices were tested with surveys of more than 14,000 high school students with respect to actual outcomes and validated by surveying more than 5,000 students. The theoretical basis of the indices, their use in enrollment…

The heart of performance- and competency-based teacher education, evaluation, and accountability programs is the establishment of empirical relationships between teacher behavior as an independent variable and student achievement as a dependent variable. Before researchers can adequately establish those relationships they need to deal with the…