"Why we don't really know what statistical significance means: Implications for educators"
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Subjectα levels; (Overlapping) confidence interval; Fisher; Neyman-Pearson; p < α criterion; p values; Statistics; Mathematical statistics; Probabilities; Correlation (Statistics); Statistical hypothesis testing
DescriptionRaymond Hubbard is the Thomas M. Sheehan Distinguished Professor of Marketing in the College of Business and Public Administration at Drake University. He can be contacted at: firstname.lastname@example.org
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"Construct validity and other issues pertaining to 'The impact of research designs on R_ in linear regression models: An exploratory meta-analysis'" Hubbard, Raymond (University of South Australia, Mawson Lakes Campus, 1997)Introduction:I initially commented on Heribert Reisinger's (1997) paper, "The impact of research designs on R2 in linear regression models: An exploratory meta-analysis," in a double-blind review context. Some of my ...
An Empirical Study of Measurement Error Using Partial Interval, Whole Interval, and Momentary Time-Sample Recording Methods Steffen, William F. (Drake University, 1985-12)The problem. An examination was made of the effect varying Session Response Duration, Mean Individual Response Duration, and length of recording interval on the accuracy of data using whole interval, partial interval, and ...