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Peer reviewedRose, Christopher D. – Journal of Drug Education, 1999
Tests the premise of peer cluster theory as it applies to individual alcohol use, and makes a comparative analysis between its ability to explain alcohol use and marijuana use among college students (N=1312). Results of the causal models show some support for peer cluster theory. Discusses the study's limitations and implications. (Author/MKA)
Descriptors: Adolescents, Cluster Grouping, College Students, Data Analysis
Peer reviewedNichols, Paul D.; Smith, Philip L. – Educational Measurement: Issues and Practice, 1998
This essay argues that reliability should be reconceptualized in a way that reflects the importance of the theoretical expectations of the test specialist and the learning and problem solving of the test takers. It is time to characterize clearly the substantive theoretical framework supporting reliability studies and the technical evaluation of…
Descriptors: Data Analysis, Educational Research, Educational Theories, Evaluation Methods
Peer reviewedPapasolomontos, Christina; Christie, Tom – Educational Research, 1998
Review of research using data from five British national demographic surveys showed that secondary analyses occurred less often in education; such analyses focused on the effect of educational qualifications on employment; and some data remain relatively unexploited. (SK)
Descriptors: Data Analysis, Databases, Demography, Educational Attainment
Peer reviewedWalker, 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
Peer reviewedMajors, 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
Peer reviewedEscalada, 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
Peer reviewedWang, 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
Peer reviewedZales, 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
Peer reviewedMcNamara, 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
Peer reviewedBlank, 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
Peer reviewedJones, 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
Peer reviewedJones, 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
Peer reviewedGorard, 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
Peer reviewedFriedman, 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
Peer reviewedJardine, 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


