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Enders, Craig K. – Guilford Press, 2010
Walking readers step by step through complex concepts, this book translates missing data techniques into something that applied researchers and graduate students can understand and utilize in their own research. Enders explains the rationale and procedural details for maximum likelihood estimation, Bayesian estimation, multiple imputation, and…
Descriptors: Data Analysis, Error of Measurement, Research Problems, Maximum Likelihood Statistics
Salkind, Neil J. – SAGE Publications (CA), 2007
This text teaches an often intimidating and difficult subject in a way that is informative, personable, and clear. The author takes students through various statistical procedures, beginning with correlation and graphical representation of data and ending with inferential techniques and analysis of variance. In addition, the text covers SPSS, and…
Descriptors: Research Methodology, Validity, Reliability, Probability
Froseth, Stan; Poppe, Barbara – 1995
This guide is intended for the secondary school teacher (especially math or science) or the student who wants to access and learn about scientific data on the Internet. It is organized as a self-guided exploration. Nine exercises enable the user to access and analyze on-line information from the National Oceanic and Atmospheric Administration…
Descriptors: Computer Mediated Communication, Computer Software, Data Collection, Databases
Gray, Peter J.; Deck, Dennis – 1983
This report includes a collection of workshop materials which address ways microcomputers can be used in evaluation and assessment and what basic information should be covered in introducing newcomers to the use of microcomputers. It is designed for use by experienced trainers with microcomputer experience but with few workshop support materials.…
Descriptors: Computer Graphics, Computer Software, Data Collection, Databases