Missing data are a common occurrence in survey-based research studies in education, and the way missing values are handled can significantly affect the results of analyses based on such data. Despite known problems with performance of some missing data handling methods, such as mean imputation, many researchers in education continue to use those…

Demonstrates that by using barcodes to identify random lists of books, taking small monthly samples, and updating a simple control chart, one can effectively: (1) pinpoint reasons why library books are unavailable; (2) gauge if corrective actions or changes in procedure are needed; and (3) determine if such actions are successful. Contains two…

Choosing the most appropriate method to handle missing data during analyses is one of the most challenging decisions confronting researchers. Often, missing values are just ignored rather than replaced with a reliable imputation method. Six methods of data imputation were used to replace missing data from two data sets of varying sizes; this…