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50 Years of ERIC
50 Years of ERIC
The Education Resources Information Center (ERIC) is celebrating its 50th Birthday! First opened on May 15th, 1964 ERIC continues the long tradition of ongoing innovation and enhancement.

Learn more about the history of ERIC here. PDF icon

Showing all 4 results
Traditional vs. "Resampling" Approaches to Statistical Inferences Regarding Correlation Coefficients.
Peer reviewed Peer reviewed
Knapp, Thomas R.; Noblitt, Gerald L.; Viragoontavan, Sunanta – Mid-Western Educational Researcher, 2000
There is a trend toward abandoning traditional parametric approaches to data analysis, with all their restrictive assumptions, in favor of computer-intensive nonparametric inferential statistical procedures, such as the jackknife and the bootstrap that are based on resampling of the sample data. These techniques are compared with the parametric…
Descriptors: Correlation, Statistical Analysis, Statistical Inference
The Use of Tests of Statistical Significance.
Peer reviewed Peer reviewed
Knapp, Thomas R. – Mid-Western Educational Researcher, 1999
Presents an opinion on the appropriate use of significance tests, especially in the context of regression analysis, the most commonly encountered statistical technique in education and related disciplines. Briefly discusses the appropriate use of power analysis. Contains 47 references. (Author/SV)
Descriptors: Data Interpretation, Educational Research, Effect Size, Hypothesis Testing
Some Cautions Concerning Inferences about Proportions, Differences between Proportions, and Quotients of Proportions.
Peer reviewed Peer reviewed
Knapp, Thomas R.; Tam, Hak P. – Mid-Western Educational Researcher, 1997
Examines potential problems in the use of inferential statistics for single population proportions, differences between two population proportions, and quotients of two population proportions. Discusses hypothesis testing versus interval estimation. Emphasizes the importance of selecting the appropriate formula for the standard error and…
Descriptors: Educational Research, Error of Measurement, Hypothesis Testing, Ratios (Mathematics)
Semi-partial Correlations: I Don't Need Them; You Can Have Them.
Peer reviewed Peer reviewed
Knapp, Thomas R. – Mid-Western Educational Researcher, 1996
Semipartial correlation is one of several ways of determining the relative importance of independent variables in a multiple regression analysis. A veteran teacher of statistics and related topics explains his reasons for avoiding semipartial correlations. (SV)
Descriptors: Correlation, Multiple Regression Analysis, Predictor Variables, Research Methodology