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Download full textOnwuegbuzie, Anthony J.; Daniel, Larry G.; Roberts, J. Kyle – 2001
The purpose of this paper is to illustrate how displaying disattenuated correlation coefficients along with their unadjusted counterparts will allow the reader to assess the impact of unreliability on each bivariate relationship. The paper also demonstrates how a proposed new "what if reliability" analysis can complement the conventional null…
Descriptors: Correlation, Reliability, Sample Size, Statistical Significance
Onwuegbuzie, Anthony J.; Daniel, Larry G. – 2000
The purposes of this paper are to identify common errors made by researchers when dealing with reliability coefficients and to outline best practices for reporting and interpreting reliability coefficients. Common errors that researchers make are: (1) stating that the instruments are reliable; (2) incorrectly interpreting correlation coefficients;…
Descriptors: Correlation, Generalization, Reliability, Research Methodology
Daniel, Larry G.; Onwuegbuzie, Anthony J. – 2000
This paper proposes a new typology for understanding common research errors that expands on the four types of error commonly discussed in the research literature. Examples are presented to illustrate Type I and Type II errors, errors related to the interpretation of statistically significant and nonsignificant results respectively, with attention…
Descriptors: Classification, Error Patterns, Research Methodology, Research Problems
Peer reviewedOnwuegbuzie, Anthony J.; Roberts, J. Kyle; Daniel, Larry G. – Measurement and Evaluation in Counseling and Development, 2005
In this article, the authors (a) illustrate how displaying disattenuated correlation coefficients alongside their unadjusted counterparts will allow researchers to assess the impact of unreliability on bivariate relationships and (b) demonstrate how a proposed new "what if reliability" analysis can complement null hypothesis significance…
Descriptors: Correlation, Statistical Significance, Reliability, Error of Measurement
Daniel, Larry G. – 1997
Statistical significance tests (SSTs) have been the object of much controversy among social scientists. Proponents have hailed SSTs as an objective means for minimizing the likelihood that chance factors have contributed to research results. Critics have both questioned the logic underlying SSTs and bemoaned the widespread misapplication and…
Descriptors: Editing, Educational Assessment, Policy, Research Problems
Daniel, Larry G. – Research in the Schools, 1998
Considers reviews of L. Daniels's article on editorial policy regarding statistical significance testing and concludes that the controversy is not over, although the gradual movement toward requiring additional information in the reporting of statistical results is viewed as a positive trend. (SLD)
Descriptors: Editing, Educational Research, Effect Size, Hypothesis Testing
Daniel, Larry G. – Research in the Schools, 1998
Offers a framework for remedying some of the problems associated with the use of statistical significance tests through modifying journal editorial policies. Reviews examples from some journals that have established guidelines for reporting results of statistical significance tests. (SLD)
Descriptors: Editing, Educational Research, Guides, Hypothesis Testing
