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Henry, Philip – College and University, 2019
Phillip Henry is a semi-retired former U.K. Registrar and Secretary with almost 40 years' experience in higher education. He has been active in staff development in the United Kingdom (Association of University Administrators, Academic Registrars Council, and Association of Heads of University Administration), in the United States (AACRAO and a…
Descriptors: Academic Achievement, Administrator Attitudes, Educational Experience, College Students
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Head, J. Thomas; Moore, David M. – Canadian Journal of Educational Communication, 1991
Describes study of college students that was conducted to determine whether increasing the amount of data in different graphic formats affects the interpretation of quantitative information. Immediate and delayed recall are examined, and correlations between graphic format and field dependence and independence are discussed. (12 references) (LRW)
Descriptors: Analysis of Variance, Correlation, Data Interpretation, Field Dependence Independence
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Deal, James E. – Journal of Marriage and the Family, 1995
Dealing with data from multiple family members presents problems for researchers, as many of the techniques available for dealing with such data are problematic, and there is no way that is unique to each family. Proposes and gives an example of the use of Q factor analysis as a means of combining data from multiple family members in a unique way…
Descriptors: Correlation, Data Analysis, Data Interpretation, Factor Analysis
Kovalik, Cindy L.; Lambdin, Kim – 1997
This paper presents findings from an historical investigation of visual literacy, a unique aspect being that the approach relied on the marriage of two disciplines--geography and history--which study change over time. Maps and their interpretation of data by cartographers tend to provide a foundational context that can illuminate past and present…
Descriptors: Archives, Comparative Analysis, Correlation, Critical Viewing
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Goldstein, Miriam D.; Strube, Michael J. – Teaching of Psychology, 1995
Describes two QuickBASIC programs that provide students direct experience with interpreting correlation scatter-plots. Maintains that the programs can be used in classroom exercises to highlight factors that influence the size of a Pearson correlation coefficient. (CFR)
Descriptors: Computer Software Development, Computer Uses in Education, Correlation, Data Analysis
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Strube, Michael; Goldstein, Miriam D. – Teaching of Psychology, 1995
Describes a QuickBASIC program for demonstrating the differences between main effects and interactions in factorial designs. The program can be used in conjunction with a traditional lecture to improve student understanding and develop skills in recognizing main effects and interactions from graphic displays. (CFR)
Descriptors: Computer Software Development, Computer Uses in Education, Correlation, Data Analysis