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Du, Han; Enders, Craig; Keller, Brian; Bradbury, Thomas N.; Karney, Benjamin R. – Grantee Submission, 2022
Missing data are exceedingly common across a variety of disciplines, such as educational, social, and behavioral science areas. Missing not at random (MNAR) mechanism where missingness is related to unobserved data is widespread in real data and has detrimental consequence. However, the existing MNAR-based methods have potential problems such as…
Descriptors: Bayesian Statistics, Data Analysis, Computer Simulation, Sample Size
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Bruch, Elizabeth; Atwell, Jon – Sociological Methods & Research, 2015
Agent-based modeling has become increasingly popular in recent years, but there is still no codified set of recommendations or practices for how to use these models within a program of empirical research. This article provides ideas and practical guidelines drawn from sociology, biology, computer science, epidemiology, and statistics. We first…
Descriptors: Models, Social Science Research, Guidelines, Scientific Research
Wan, Peng-Hui Maffee – ProQuest LLC, 2011
Wayfinding is a kind of spatial riddle that people encounter almost daily. Although it has been well documented that wayfinding elements--namely, environmental cues, people and time--significantly influence wayfinding, there has been little work done to examine the effectiveness of those influences. In particular, the notion of wayfindingly…
Descriptors: Research Problems, Cues, Architecture, Visualization
Lane, Forrest C.; Henson, Robin K. – Online Submission, 2010
Education research rarely lends itself to large scale experimental research and true randomization, leaving the researcher to quasi-experimental designs. The problem with quasi-experimental research is that underlying factors may impact group selection and lead to potentially biased results. One way to minimize the impact of non-randomization is…
Descriptors: Quasiexperimental Design, Research Methodology, Educational Research, Scores
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Chodroff, Leah; O'Neal, Tim M.; Long, David A.; Hemkin, Sheryl – Journal of Chemical Education, 2009
Chemists have used computational science methodologies for a number of decades and their utility continues to be unabated. For this reason we developed an advanced lab in computational chemistry in which students gain understanding of general strengths and weaknesses of computation-based chemistry by working through a specific research problem.…
Descriptors: Research Problems, Chemistry, Science Instruction, Computation
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Berthon, Pierre; Pitt, Leyland; Prendergast, Gerard – Internet Research, 1997
Although web browser caching speeds up retrieval, reduces network traffic, and decreases the load on servers and browser's computers, an unintended consequence for marketing research is that Web servers undercount hits. This article explores counting problems, caching, proxy servers, trawler software and presents a series of correction factors…
Descriptors: Computer Software, Information Retrieval, Marketing, Models
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Self, John – Instructional Science, 1986
Considers possibility of developing a computer tutor around an explicit concept-learning theory derived from machine learning techniques. Some problems with using the focusing (and similar) algorithms in this role are discussed and possible solutions are developed. Design for a guided discovery learning system for tutoring concepts is proposed.…
Descriptors: Algorithms, Computer Software, Concept Teaching, Databases
Bragg, Debra DeVore; Hull, William L. – 1984
Vocational education research and development (R&D) product evaluations are difficult to conduct for several reasons, such as the many types of R&D products, the multiple users of the products with different goals for evaluation, the limited time available, and the high cost. In order to meet these challenges, an internal evaluation team…
Descriptors: Computer Software, Models, Postsecondary Education, Program Effectiveness