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Cheema, Jehanzeb R. – Review of Educational Research, 2014
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…
Descriptors: Educational Research, Data, Data Collection, Data Processing

Telem, Moshe – Information Processing and Management, 1989
Presents an attempt to develop an integrated overall management information system growth and integration theory for small organizations. The three dimensions that facilitate information integration progress (i.e., electronic data processing evolution, computerized tools, and user types) are presented, analyzed, and characterized. Guidelines for…
Descriptors: Data Processing, Guidelines, Information Management, Information Technology
National Bureau of Standards (DOC), Washington, DC. Inst. for Computer Sciences and Technology. – 1981
These guidelines for communicating effectively the details of computer model design and operation to persons with varying interests in a model recommend the development of four different types of manuals to meet the needs of managers, users, analysts and programmers. The guidelines for preparing a management summary manual suggest a broad spectrum…
Descriptors: Computer Programs, Data Processing, Flow Charts, Guidelines
Johnson, Richard T.; Thomas, Wayne P. – 1979
The experiences of state and local education agencies in implementing the RMC evaluation models in their evaluations of Elementary and Secondary Education Act Title I programs are discussed with emphasis on the problems encountered, suggestions for resolving these problems, and encouraging results which have been reported. Four activities are…
Descriptors: Administrative Problems, Compensatory Education, Data Processing, Educational Testing