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Download full textRollins, Dahl A. – 2001
Many univariate statistical methods assume that dependent variable data have a univariate distribution. Some statistical methods assume that the error scores are normally distributed. It is clear that the concept of data normality is an important one in statistics. This paper explains that, notwithstanding common misconceptions to the contrary,…
Descriptors: Heuristics, Scores, Statistical Distributions
Henson, Robin K. – 1999
This paper illustrates how canonical correlation analysis can be employed to implement all the parametric tests that canonical methods subsume as special cases. The point is heuristic: all analyses are correlational, all apply weights to measured variables to create synthetic variables, and all yield effect sizes analogous to "r"…
Descriptors: Correlation, Effect Size, Heuristics, Multivariate Analysis
Fan, Xitao – 2001
Bootstrap analysis, both for nonparametric statistical inference and for describing sample results stability and replicability, has been gaining prominence among quantitative researchers in educational and psychological research. Procedurally, however, it is often quite a challenge for quantitative researchers to implement bootstrap analysis in…
Descriptors: Computer Software, Educational Research, Heuristics, Nonparametric Statistics
