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Hayes, Timothy – Journal of Educational and Behavioral Statistics, 2019
Multiple imputation is a popular method for addressing data that are presumed to be missing at random. To obtain accurate results, one's imputation model must be congenial to (appropriate for) one's intended analysis model. This article reviews and demonstrates two recent software packages, Blimp and jomo, to multiply impute data in a manner…
Descriptors: Computer Software Evaluation, Computer Software Reviews, Hierarchical Linear Modeling, Data Analysis
Cheung, Alan C. K.; Slavin, Robert E. – Center for Research and Reform in Education, 2011
The use of educational technology in K-12 classrooms has been gaining tremendous momentum across the country since the 1990s. Many school districts have been investing heavily in various types of technology, such as computers, mobile devices, internet access, and interactive whiteboards. Almost all public schools have access to the internet and…
Descriptors: Evidence, Elementary Secondary Education, Mathematics Achievement, Program Effectiveness
Cheung, Alan C. K.; Slavin, Robert E. – Center for Research and Reform in Education, 2011
The present review examines research on the effects of technology use on reading achievement in K-12 classrooms. Unlike previous reviews, this review applies consistent inclusion standards to focus on studies that met high methodological standards. In addition, methodological and substantive features of the studies are investigated to examine the…
Descriptors: Foreign Countries, Evidence, Elementary Secondary Education, Reading Achievement

Richards, Lyn; Richards, Tom – Qualitative Health Research, 1991
Discusses the potential impact of computers in qualitative health research. Describes the original goals, design, and implementation of NUDIST, a qualitative computing software. Argues for evaluation of the impact of computer techniques and for an opening of debate among program developers and users to address the purposes and power of computing…
Descriptors: Computer Software Evaluation, Content Analysis, Data Analysis, Higher Education