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Hu, Ming-xiu; Salvucci, Sameena – 2001
Many imputation techniques and imputation software packages have been developed over the years to deal with missing data. Different methods may work well under different circumstances, and it is advisable to conduct a sensitivity analysis when choosing an imputation method for a particular survey. This study reviewed about 30 imputation methods…
Descriptors: Algorithms, Computer Simulation, Data Analysis, Longitudinal Studies
Peer reviewed Peer reviewed
Carpenter, Thomas P.; And Others – Arithmetic Teacher, 1981
Data from the 1977-78 mathematics assessment of the National Assessment of Educational Progress (NAEP) on the use of calculators are discussed. (MP) Aspect of National Assessment (NAEP) dealt with in this document: Results (Interpretation).
Descriptors: Algorithms, Calculators, Educational Assessment, Educational Research
Peer reviewed Peer reviewed
Freedman, David A.; And Others – Evaluation Review, 1993
Techniques for adjusting census figures are discussed, with a focus on sampling error, uncertainty of estimates resulting from the luck of sample choice. Computer simulations illustrate the ways in which the smoothing algorithm may make adjustments less, rather than more, accurate. (SLD)
Descriptors: Algorithms, Census Figures, Computer Simulation, Error of Measurement
Bobbitt, L. G.; Carroll, C. D. – 1993
The National Center for Education Statistics conducts surveys which require the coding of the respondent's major field of study. This paper presents a new system for the coding of major field of study. It operates on-line i a Computer Assisted Telephone Interview (CATI) environment and allows conversational checks to verify coding directly from…
Descriptors: Algorithms, Coding, Computer Assisted Testing, Computer Software
Peer reviewed Peer reviewed
Raudenbush, Stephen W.; And Others – Journal of Educational Statistics, 1991
A three-level multivariate statistical modeling strategy is presented that resolves the question of whether the unit of analysis should be the teacher or the student. A reanalysis of U.S. high school data (51 Catholic and 59 public schools from the High School and Beyond survey) illustrates the model. (SLD)
Descriptors: Algorithms, Catholic Schools, Educational Environment, Equations (Mathematics)