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Burke; Michael C. – Carnegie Foundation for the Advancement of Teaching, 2007
Quantitative literacy, the ability to discriminate between good and bad data, the disposition to use quantitative information to think through complex problems are capacities that educators across fields should be helping students develop. Burke leads the reader to this conclusion through an extended example of income distribution, clarified and…
Descriptors: Numeracy, Data Analysis, Graphs, Statistics
Peer reviewedSchafer, William D. – Measurement and Evaluation in Counseling and Development, 1992
Notes that presence of heterogeneous regression slopes in an analysis of covariance design is equivalent to presence of interaction in randomized-blocks design. Describes modification of the usual graphical representation of heterogeneous regressions that can aid in interpreting significant regions for regression surfaces. (NB)
Descriptors: Analysis of Covariance, Data Interpretation, Graphs, Regression (Statistics)
Peer reviewedLogan, Elisabeth L.; Shaw, W. M., Jr. – Journal of the American Society for Information Science, 1987
The role of the coauthor relationship in the structure of informal communications networks within disciplines is explored, and the validity of coauthor graphs used to map these relationships is tested for both small and large databases. (CLB)
Descriptors: Authors, Bibliometrics, Cluster Grouping, Cooperation
Peer reviewedSeibert, Warren F. – Journal of Academic Librarianship, 1985
This reexamination of earlier forecasts and statistics related to research library growth--Purdue studies first published in 1965, data and forecasts from Fremont Rider's 1944 book--shows mixed results for evidence of continuing rapid growth of collections and acquisition expenditures and marked decline in acquisition rates. (16 references) (EJS)
Descriptors: Academic Libraries, Futures (of Society), Graphs, Library Collection Development
Peer reviewedSharpley, Christopher F. – Journal of Counseling & Development, 1986
Although single-subject research techniques are valuable to counselors, analyzing change by graphs alone is open to major sources of error. Discusses these sources and explores the issues of serial dependency, unreliability of graphs, interjudge disagreement on graphed data, and the use of time-series statistics with relevance to the counselor in…
Descriptors: Counseling Effectiveness, Counseling Techniques, Data Interpretation, Graphs


