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Walker, Lawrence J.; Gustafson, Paul; Hennig, Karl H. – Developmental Psychology, 2001
This longitudinal study with 62 children and adolescents examined the validity of the consolidation/transition model in the context of moral reasoning development. Results of standard statistical and Bayesian techniques supported the hypotheses regarding cyclical patterns of change and predictors of stage transition, and demonstrated the utility…
Descriptors: Adolescents, Children, Cognitive Development, Data Analysis
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Majors, Mark S.; Sedlacek, William E. – Journal of College Student Development, 2001
Exploratory factor analysis (EFA) was used to provide an organizational framework for data collected from an entering class of students (N=1,912). Results from the EFA indicated that items on surveys could be grouped into dimensions that can be used to plan student services. Factors that emerged included: Religion/Spirituality, Help Seeking,…
Descriptors: College Students, Data Analysis, Higher Education, Planning
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Escalada, Lawrence T.; And Others – Journal of Educational Multimedia and Hypermedia, 1996
Interactive digital video enables computer visualization techniques that help students to collect, analyze, and model two-dimensional motion data. This article describes and evaluates five activities developed for the physics classroom with the use of this technology in mind. Activities explore concepts such as space, time, frames of reference,…
Descriptors: Class Activities, Computer Simulation, Data Analysis, Higher Education
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Wang, Shouhong – Journal of Education for Business, 1996
In China, 24 undergraduate business students applied data flow diagrams (DFD) to a mini-case, and 20 used object-oriented analysis (OOA). DFD seemed easier to learn, but after training, those using the OOA method for systems analysis made fewer errors. (SK)
Descriptors: Business Administration Education, Data Analysis, Foreign Countries, Higher Education
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Zales, Charlotte Rappe; Colosi, Joseph C. – American Biology Teacher, 1998
Presents a quick and simple exercise that demonstrates what is meant by the term "statistically insignificant." Demonstrates the bell curve distribution, the relationship of a sample to the population it is supposed to estimate, and the t-test. (DDR)
Descriptors: Biology, Data Analysis, Higher Education, Science Activities
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McNamara, James F. – International Journal of Educational Reform, 2000
The McNamara/Thompson guidelines for teaching basic statistics in principal preparation programs say courses should stress data analysis skills; illustrate statistical concepts using school-related, real-world data; concentrate on descriptive statistical methods; and familiarize candidates with univariate distributions, exploratory data-analysis…
Descriptors: Administrator Education, Courses, Data Analysis, Graduate Study
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Blank, Rolf K.; Wilson, Linda Dager – ERS Spectrum, 2001
Three types of data analyses from the National Assessment of Educational Progress and the Third International Mathematics and Science Study illustrate how these large-scale studies can be informative and useful for local educators. Such assessments can help identify differences in curriculum, instruction, and teacher preparation related to…
Descriptors: Achievement Tests, Comparative Education, Data Analysis, Educational Policy
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Jones, K. Sparck; Walker, S.; Robertson, S. E. – Information Processing & Management, 2000
This two-part article combines a comprehensive account of a probabilistic model of retrieval with new systematic experiments on TREC (Text Retrieval Conferences) Program material. Part 1 covers the foundations and the model development for document collection and relevance data, along with the test apparatus. Data and results tables for both parts…
Descriptors: Data Analysis, Data Collection, Information Management, Information Retrieval
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Jones, K. Sparck; Walker, S.; Robertson, S. E. – Information Processing & Management, 2000
A comprehensive account of a probabilistic model of retrieval with new systematic experiments on TREC (Text Retrieval Conferences) Program material. Part 2 covers the further development of the model, with testing, and briefly considers other environment conditions and tasks, model training, concluding with comparisons with other approaches and an…
Descriptors: Comparative Analysis, Data Analysis, Data Collection, Information Management
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Gorard, Stephen – British Journal of Educational Studies, 1999
Describes a recurring error in standard analyses of educational performance, the "politician's error," that results from using percentage point differences as though they were percentages. This simple oversight results in the misinterpretation of trends over time, with implications for both policy and research. (SLD)
Descriptors: Academic Achievement, Achievement Gains, Data Analysis, Educational Policy
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Friedman, Daniel J.; Cohen, Bruce B.; Averbach, Abigail R.; Norton, Jennifer M. – American Journal of Public Health, 2000
Assessed the impact of the Office of Management and Budget's revised standards for collecting race and ethnicity data on state health departments, highlighting the Massachusetts Department of Public Health. The revised standards appear to affect state health departments, adding complexity to data collection and analysis, but producing a more…
Descriptors: Data Analysis, Data Collection, Ethnic Groups, Ethnicity
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Jardine, Dick – Mathematics and Computer Education, 2002
Describes how fisheries research and management data (available on a website) have been incorporated into an Introductory Statistics course. In addition to the motivation gained from seeing the practical relevance of the course, some students have participated in the data collection and analysis for the New Hampshire Fish and Game Department. (MM)
Descriptors: Computer Uses in Education, Course Content, Data Analysis, Fisheries
Allen, Nancy L.; Donoghue, John R.; Schoeps, Terry L. – Education Statistics Quarterly, 2001
Provides details on the instrument development, sample design, data collection, and data analysis procedures for the 1998 National Assessment of Educational Progress (NAEP) national and state assessments. Includes information necessary to show adherence to testing standards of professional organizations. (SLD)
Descriptors: Academic Achievement, Data Analysis, Data Collection, National Surveys
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Mullen, Debra – Peer Review, 2001
Discusses how to develop an effective assessment process for learning communities, including initial considerations, the value of student involvement, questions guiding the study, data management, and considerations for future studies. (EV)
Descriptors: College Instruction, Data Analysis, Evaluation Methods, Higher Education
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Kellermann, Kathy – Communication Monographs, 2001
Examines assumptions underlying the employment of group means in communication research. Suggests a sample mean cannot be assumed to be a "good" statistic when the response vector represents different individuals' outcomes versus different outcomes of an individual. Notes implications for communication research. (SR)
Descriptors: Communication Research, Data Analysis, Higher Education, Research Methodology
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