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Brown, Neil C. C.; Altadmri, Amjad – ACM Transactions on Computing Education, 2017
Teaching is the process of conveying knowledge and skills to learners. It involves preventing misunderstandings or correcting misconceptions that learners have acquired. Thus, effective teaching relies on solid knowledge of the discipline, but also a good grasp of where learners are likely to trip up or misunderstand. In programming, there is much…
Descriptors: Novices, Programming Languages, Programming, Error Patterns
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Wurtz, Keith – Community College Journal of Research and Practice, 2011
The increasing demand of constituents to conduct analyses in order to help inform the decision-making process has led to the need for Institutional Research (IR) guidelines for community college educators. One method of maintaining the quality of research conducted by IR staff is to include professional development about ethics. This article…
Descriptors: Community Colleges, Institutional Research, Evaluators, Experiments
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Seyfeddinipur, Mandana; Kita, Sotaro; Indefrey, Peter – Cognition, 2008
When speakers detect a problem in what they are saying, they must decide whether or not to interrupt themselves and repair the problem, and if so, when. Speakers will maximize accuracy if they interrupt themselves as soon as they detect a problem, but they will maximize fluency if they go on speaking until they are ready to produce the repair.…
Descriptors: Speech Communication, Maintenance, Computational Linguistics, Language Fluency
Bureau of Indian Education, 2013
During SY 2011-2012, the Bureau of Indian Education (BIE) continued their efforts to improve the validity and reliability of data reporting. BIE data collections are dependent on school level entry (self-reporting) into the Native American Student Information System (NASIS) or into the BIE's Annual Report from the schools. In addition, data…
Descriptors: American Indian Education, American Indian Reservations, Tribally Controlled Education, Data Analysis
Cahalan, Margaret; Goodwin, David – Pell Institute for the Study of Opportunity in Higher Education, 2014
In January 2009, in the last week of the Bush Administration, the U.S. Department of Education (ED), upon orders from the departing political appointee staff, published the final report in a long running National Evaluation of Upward Bound (UB). The study was conducted by the contractor, Mathematica Policy Research. After more than a year in…
Descriptors: Federal Programs, College Readiness, Access to Education, Data Analysis
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Saunders, Jeanne A.; Morrow-Howell, Nancy; Spitznagel, Edward; Dore, Peter; Proctor, Enola K.; Pescarino, Richard – Social Work Research, 2006
Choosing the most appropriate method to handle missing data during analyses is one of the most challenging decisions confronting researchers. Often, missing values are just ignored rather than replaced with a reliable imputation method. Six methods of data imputation were used to replace missing data from two data sets of varying sizes; this…
Descriptors: Social Work, Decision Making, Social Science Research, Multivariate Analysis
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Morrison, G. Rolfe; And Others – Journal of Experimental Child Psychology, 1992
An error in the data analysis for a study reported in a 1988 paper by Kail is cited. The paper postulated a model that explained individual differences in the speed of processing on cognitive tasks. Reanalysis of the data suggested that support for the original conclusions is considerably weaker than reported. (LB)
Descriptors: Age Differences, Analysis of Variance, Cognitive Processes, Data Analysis
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Thomas, Scott L.; Heck, Ronald H.; Bauer, Karen W. – New Directions for Institutional Research, 2005
Institutional researchers frequently use national datasets such as those provided by the National Center for Education Statistics (NCES). The authors of this chapter explore the adjustments required when analyzing NCES data collected using complex sample designs. (Contains 8 tables.)
Descriptors: Institutional Research, National Surveys, Sampling, Data Analysis
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Carter, Rufus Lynn – Research & Practice in Assessment, 2006
Many times in both educational and social science research it is impossible to collect data that is complete. When administering a survey, for example, people may answer some questions and not others. This missing data causes a problem for researchers using structural equation modeling (SEM) techniques for data analyses. Because SEM and…
Descriptors: Structural Equation Models, Error of Measurement, Data, Change Strategies