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Krusi, Jean B. – Mathematics Teaching in the Middle School, 2000
Presents questions, explorations, and problems centered on data and surveys related to ice cream. (YDS)
Descriptors: Data Analysis, Food, Mathematics Activities, Mathematics Education
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Young, Victoria – Mathematics Teacher, 2002
Presents an activity in which students gather and analyze data involving the compatibility of human blood types. Uses student surveys, Venn diagrams, and random numbers. Includes activity sheets. (Author/NB)
Descriptors: Data Analysis, Data Collection, Graphs, Mathematics Activities
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Barger, Rita H.; Bryant, Cynthia G. – Mathematics Teaching in the Middle School, 2003
Describes a two-week unit based on calendars and births designed to be used in January at the start of each new year. (YDS)
Descriptors: Data Analysis, Lesson Plans, Mathematics Activities, Mathematics Instruction
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Shreero, Betsy; Sullivan, Cindy; Urbano, Alicia – Teaching Children Mathematics, 2003
Investigates how mathematics is used in various careers. Students explore number sense and operations, logical reasoning, data analysis, and algebra. (Author/NB)
Descriptors: Algebra, Career Exploration, Data Analysis, Elementary Education
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Merz, Alice – Teaching Children Mathematics, 2003
Presents an investigation to engage students in real-life, open-ended data analysis. Allows students to analyze existing data along with data that they collect. Lists steps, necessary materials, and includes activity sheets. (Author/NB)
Descriptors: Data Analysis, Data Collection, Elementary Education, Mathematics Activities
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Graham, John W.; Roberts, Melinda M.; Tatterson, James W.; Johnston, Sara E. – Evaluation Review, 2002
Studied the reliability and convergent validity for 27 composite scales and 2 items covering aspects of alcohol use, smoking, marijuana use, and other drug use. Results indicate 23 of the 27 composite scales had at least acceptable reliability and the remaining 4 scales had at least marginally acceptable reliability. At least moderate construct…
Descriptors: Data Analysis, Drinking, Drug Use, Longitudinal Studies
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O'Connor, Bridget N. – Delta Pi Epsilon Journal, 2002
This guide to using qualitative case study research in business education explains methodological steps and decisions, illustrated with examples from business research. It addresses data analysis and interpretation, including discussion of software tools. (Contains 25 references.) (SK)
Descriptors: Business Education, Case Studies, Computer Software, Data Analysis
Wallen, Norman E. – School of Education Review, 1989
Important differences in the theory and practice of quantitative and qualitative research methodologies are highlighted. This article suggests that each of these methodologies can be improved by utilizing key ingredients of the other. (Author/IAH)
Descriptors: Data Analysis, Educational Research, Higher Education, Hypothesis Testing
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Lathrop, Richard G.; Williams, Janice E. – Educational and Psychological Measurement, 1990
A Monte Carlo study of the validity of the Inverse Scree Test under conditions where true group membership is known was conducted. Fifty cluster analyses of each distribution involving 2 to 5 true groups of 3,000 simulated subjects were made. Implications for the data analyst are discussed. (SLD)
Descriptors: Cluster Analysis, Data Analysis, Group Membership, Monte Carlo Methods
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Winer, Laura R.; Carriere, Mario – Computers and Education, 1990
Discusses the use of a relational database as a data management and analysis tool for nonexperimental qualitative research, and describes the use of the Reflex Plus database in the Vitrine 2001 project in Quebec to study computer-based learning environments. Information systems are also discussed, and the use of a conceptual model is explained.…
Descriptors: Computer Assisted Instruction, Data Analysis, Databases, Foreign Countries
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Greene, Jennifer C.; And Others – Evaluation Practice, 1987
An exploratory study of adult learning resulting from locally initiated community group programs illustrates approaches to qualitative and, more particularly, naturalistic evaluation. The use of a proxy list and the blending of independently derived abstract and concrete initial category labels proved particularly useful in the categorization…
Descriptors: Adult Education, Community Programs, Data Analysis, Informal Education
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Ford, Sue – Evaluation Practice, 1987
Reorganization of data from a 1986 study of home care client placement for the elderly (N=18) allowed for user-specific reports to a variety of interested groups in the affected community. The techniques used to adapt and present the data are outlined. A short bibliography is appended. (TJH)
Descriptors: Caregivers, Community Health Services, Data Analysis, Evaluation Utilization
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Fischer, Gerhard H. – Psychometrika, 1987
A natural parameterization and formalization of the problem of measuring change in dichotomous data is developed. Mathematically-exact definitions of specific objectivity are presented, and the basic structures of the linear logistic test model and the linear logistic model with relaxed assumptions are clarified. (SLD)
Descriptors: Change, Data Analysis, Equations (Mathematics), Generalizability Theory
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Strube, Michael J. – Journal of Counseling Psychology, 1988
Demonstrates that magnitude-of-effects (ME) estimates vary in susceptibility to sample-size bias depending on whether they are directional or nondirectional estimates. Also demonstrates that study characteristics that influence size of ME estimates can be explicitly taken into account when comparing studies. Emphasizes need to consider study…
Descriptors: Data Analysis, Effect Size, Estimation (Mathematics), Meta Analysis
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Hudson, Thom – Studies in Second Language Acquisition, 1993
Much research has posited a developmental sequence approach in second-language acquisition. This study reexamines the original social-psychological research upon which the multidimensional model is based and shows that it is incorrect because of faulty analysis. It also examines the limited applicability/generalizability of the developmental…
Descriptors: Data Analysis, Developmental Stages, Language Processing, Language Research
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