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Shacham, Mordechai; Brauner, Neima; Ashurst, W. Robert; Cutlip, Michael B. – Chemical Engineering Education, 2008
Mathematical software packages such as Polymath, MATLAB, and Mathcad are currently widely used for engineering problem solving. Applications of several of these packages to typical chemical engineering problems have been demonstrated by Cutlip, et al. The main characteristic of these packages is that they provide a "problem-solving environment…
Descriptors: Mathematical Models, Computer Software, Problem Solving, Chemical Engineering
Camos, Valerie – Journal of Experimental Child Psychology, 2008
This study aimed to evaluate the impact of individual differences in working memory capacity on number transcoding. A recently proposed model, ADAPT (a developmental asemantic procedural transcoding model), accounts for the development of number transcoding from verbal form to Arabic form by two mechanisms: the learning of new production rules…
Descriptors: Memory, Developmental Delays, Individual Differences, Short Term Memory
Shih, Shui-I – Cognitive Psychology, 2008
An attention cascade model is proposed to account for attentional blinks in rapid serial visual presentation (RSVP) of stimuli. Data were collected using single characters in a single RSVP stream at 10 Hz [Shih, S., & Reeves, A. (2007). "Attentional capture in rapid serial visual presentation." "Spatial Vision", 20(4), 301-315], and single words,…
Descriptors: Attention Control, Competition, Children, Memory
Friend, Angela; Olson, Richard K. – Scientific Studies of Reading, 2008
Spelling errors in the Wide Range Achievement Test were analyzed for 77 pairs of children, each of which included one older child with spelling disability (SD) and one spelling-level-matched younger child with normal spelling ability from the Colorado Learning Disabilities Research Center database. Spelling error analysis consisted of a percent…
Descriptors: Reading Difficulties, Spelling, Learning Disabilities, Phonology
Munson, Benjamin; Edwards, Jan; Schellinger, Sarah K.; Beckman, Mary E.; Meyer, Marie K. – Clinical Linguistics & Phonetics, 2010
This article honours Adele Miccio's life work by reflecting on the utility of phonetic transcription. The first section reviews the literature on cases where children whose speech appears to neutralize a contrast in the adult language are found on closer examination to produce a contrast ("covert contrast"). This study presents evidence…
Descriptors: Phonetic Transcription, Measurement, Bias, Misconceptions
Wainer, Howard – Journal of Educational and Behavioral Statistics, 2010
In this essay, the author tries to look forward into the 21st century to divine three things: (i) What skills will researchers in the future need to solve the most pressing problems? (ii) What are some of the most likely candidates to be those problems? and (iii) What are some current areas of research that seem mined out and should not distract…
Descriptors: Research Skills, Researchers, Internet, Access to Information
Howe, Harry; Simkin, Mark G. – Decision Sciences Journal of Innovative Education, 2006
The extensive computational and formatting capabilities of today's spreadsheets enable users to create sophisticated analytical models with professionally formatted outputs. But good-looking reports can mask a host of input errors, formula mistakes, and computational problems. This article examines the subject of spreadsheet error detection in…
Descriptors: Spreadsheets, Error Patterns, Models, Computation
Peer reviewedWimberley, Ronald C. – Educational and Psychological Measurement, 1976
When researchers use the Guttman scalogram rather than multidimensional techniques, scalogram error assignment techniques should be questioned. An alternative to the customary minimizing error rule is suggested through ALAM and ALAS criteria which use ordinal information in scalable item marginals. (Author)
Descriptors: Error Patterns, Multidimensional Scaling, Rating Scales
Peer reviewedDorans, Neil J. – Journal of Educational Statistics, 1988
A new estimator of the actual error rate for the two-group discriminant problem is presented. The new estimator is based on the concept of a shrunken generalized distance. This new estimator is compared favorably to two modified distance estimators and an estimator developed by M. Okamato. Four figures are included. (Author/TJH)
Descriptors: Discriminant Analysis, Error Patterns, Estimation (Mathematics)
Wallace, William P.; Nappe, Gary W. – Journal of Experimental Psychology, 1971
Descriptors: Discrimination Learning, Error Patterns, Verbal Learning
Kroll, Water – Res Quart AAHPER, 1970
Descriptors: Error Patterns, Muscular Strength, Test Reliability
Peer reviewedBroadus, Robert N. – Journal of the American Society for Information Science, 1983
This study of errors in references made to Edward O. Wilson's book and W. D. Hamilton's articles test the charge that writers frequently lift their bibliographic references from other publications without consulting the original sources. Twelve references are cited. (EJS)
Descriptors: Citations (References), Error Patterns, Ethics, Validity
Peer reviewedButterworth, George – Child Development, 1976
To establish the spatial generality of perseverative errors in infant manual search, a group of infants aged 8-11 months performed Piaget's Stage IV task with an object hidden at successive locations in the vertical plane. (Author/JMB)
Descriptors: Egocentrism, Error Patterns, Infants, Perceptual Development
Peer reviewedDowning, John H.; Lander, Jeffrey E. – Journal of Physical Education, Recreation & Dance, 2002
Addresses general performance errors in weight training, also discussing each category of error separately. The paper focuses on frequency and intensity, incorrect training velocities, full range of motion, and symmetrical training. It also examines specific errors related to the bench press, squat, military press, and bent- over and seated row…
Descriptors: Error Patterns, Exercise Physiology, Velocity, Weightlifting
Strasser, Nora – Journal of College Teaching & Learning, 2007
Avoiding statistical mistakes is important for educators at all levels. Basic concepts will help you to avoid making mistakes using statistics and to look at data with a critical eye. Statistical data is used at educational institutions for many purposes. It can be used to support budget requests, changes in educational philosophy, changes to…
Descriptors: Statistics, Statistical Data, Validity, Data Interpretation

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