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What Works Clearinghouse Rating
Peer reviewedZoski, Keith; Jurs, Stephen – Evaluation Review, 1991
The concerns about the use of a modified scree test in analyzing data from Delphi surveys may not be important if the scree test data are weighted. Factors important to the study can be incorporated into the test, and the ordinate on the graph can be labeled accordingly. (SLD)
Descriptors: Data Analysis, Decision Making, Delphi Technique, Graphs
Peer reviewedRoth, Wolff-Michael; Bowen, G. Michael – Learning and Instruction, 1999
Examined cognitive complexities when graphs were used in lectures by observing 39 lectures, 36 seminars in which students solved problems, and 14 sessions of scientists interpreting graphs. Findings show that lectures present a scanty image of the use and interpretation of graphs. Discusses the analytic method, which relies on semiotics and…
Descriptors: College Students, Data Analysis, Ecology, Graphs
PDF pending restorationWainer, Howard – 1982
The past decade has seen a substantial growth in methods and schemes for the display of multivariate data. This paper encompasses a sketch of the history of multivariate displays, from the pre-Columbian Quipu to Chernoff's Face; examines a number of techniques; describes their construction; illustrates their use; and comments on their efficacy.…
Descriptors: Data Analysis, Display Aids, Graphs, Multivariate Analysis
Florida State Dept. of Education, Tallahassee. Div. of Elementary and Secondary Education. – 1974
This report briefly describes and analyzes several of the most frequently used techniques for depicting trends and making projections of education statistics. Each technique is described simply and nontechnically, with its uses and shortcomings, and a step-by-step analytical and graphic example and explanation. Projection techniques described…
Descriptors: Data Analysis, Graphs, Predictive Measurement, Research Methodology
House, Ernest R.; Long, John M. – 1974
Although recent writings indicate the importance of personal contact structures in diffusing innovations and in determining perceptions, the internal contact structure of the school faculty remains unexamined. This study applies directed graph theory, a new branch of mathematics, to analyzing school contact structure. Sociometric data and…
Descriptors: Data Analysis, Elementary Schools, Graphs, Mathematics
Peer reviewedEdgerton, Richard T. – Mathematics Teacher, 1996
Describes an activity in which students analyze data from the Olympics. Discusses assessment of the activity and provides sample assessment form. (MKR)
Descriptors: Data Analysis, Graphs, High Schools, Learning Activities
Peer reviewedJohnson, Art – Mathematics Teaching in the Middle School, 1999
Presents different real-world mathematics activities on data display and data analysis with pie charts from different time periods. (ASK)
Descriptors: Charts, Data Analysis, Data Interpretation, Graphs
Peer reviewedWilkinson, Leland – Counseling Psychologist, 1999
Highlights effective graphical methods for screening and cleaning data, exploring and identifying models, and displaying data in counseling-psychology publications. Argues that graphs are not ancillary to scientific publications but are essential and, in some cases, sufficient expositions of results. (Author/GCP)
Descriptors: Counseling Psychology, Data Analysis, Data Interpretation, Graphs
Peer reviewedCapraro, Mary Margaret; Kulm, Gerald; Capraro, Robert M. – School Science and Mathematics, 2005
A sample of 134 sixth-grade students who were using the Connected Mathematics curriculum were administered an open-ended item entitled, Vet Club (Balanced Assessment, 2000). This paper explores the role of misconceptions and naive conceptions in the acquisition of statistical thinking for middle grades students. Students exhibited misconceptions…
Descriptors: Grade 6, Probability, Misconceptions, Mathematics Education
Hojnoski, Robin L.; Missall, Kristen N. – Young Exceptional Children, 2007
The first step in documenting children's progress toward important goals, such as developing strong oral language and early literacy skills, requires measurable outcomes. Measurable outcomes contribute to teachers' understanding of whether the gains they observe in children are meaningful by adding quantitative evaluation of a child's progress…
Descriptors: Oral Language, Emergent Literacy, Child Development, Language Acquisition
McGinnis, James Randy – 1991
This generic science education study demonstrates the contrast of findings obtained through analyzing all the raw data as opposed to removing various combinations of identified potential outliers provided through the application of six diagnostic procedures. Outliers are defined as extreme data points with large residuals. It is argued that an…
Descriptors: Computation, Data Analysis, Educational Research, Elementary Secondary Education
Peer reviewedClarke, C. R. – British Journal Of Educational Studies, 1973
The emphasis in these investigations is to analyse the available data in an attempt to find the areas of employment for graduates and to spot the employment trends and attempt to quantify them scientifically. (Author/RK)
Descriptors: Data Analysis, Educational Policy, Employment Opportunities, Employment Patterns
Peer reviewedYoung, 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
Peer reviewedGrummer, Debra – Teaching Children Mathematics, 1995
Describes data exploration and graphing based on data in the story "Ten for Dinner" by Jo Ellen Bogart. (MKR)
Descriptors: Childrens Literature, Data Analysis, Elementary Education, Elementary School Mathematics
Peer reviewedForkey, Carole – Science Teacher, 1996
Presents the "Before Technology and After Technology" lab where students first complete a simple lab and graph the data by hand and then repeat the lab using graphing calculators. Enables students to see how technology can make data collecting, graphing, and analyzing more fun. (JRH)
Descriptors: Data Analysis, Data Collection, Graphing Calculators, Graphs

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