NotesFAQContact Us
Collection
Advanced
Search Tips
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
Peer reviewed Peer reviewed
Direct linkDirect link
Bonett, Douglas G.; Price, Robert M. – Journal of Educational and Behavioral Statistics, 2012
Adjusted Wald intervals for binomial proportions in one-sample and two-sample designs have been shown to perform about as well as the best available methods. The adjusted Wald intervals are easy to compute and have been incorporated into introductory statistics courses. An adjusted Wald interval for paired binomial proportions is proposed here and…
Descriptors: Computation, Statistical Analysis, Data, Sample Size
Peer reviewed Peer reviewed
Direct linkDirect link
Bonett, Douglas G.; Price, Robert M. – Journal of Educational and Behavioral Statistics, 2005
The tetrachoric correlation describes the linear relation between two continuous variables that have each been measured on a dichotomous scale. The treatment of the point estimate, standard error, interval estimate, and sample size requirement for the tetrachoric correlation is cursory and incomplete in modern psychometric and behavioral…
Descriptors: Correlation, Predictor Variables, Measures (Individuals), Error of Measurement
Peer reviewed Peer reviewed
Bonett, Douglas G.; Seier, Edith – Journal of Educational and Behavioral Statistics, 2003
Derived a confidence interval for a ratio of correlated mean absolute deviations. Simulation results show that it performs well in small sample sizes across realistically nonnormal distributions and that it is almost as powerful as the most powerful test examined by R. Wilcox (1990). (SLD)
Descriptors: Correlation, Equations (Mathematics), Hypothesis Testing, Sample Size
Peer reviewed Peer reviewed
Bonett, Douglas G. – Journal of Educational and Behavioral Statistics, 2002
Derived an approximate test and confidence interval for coefficient alpha and used the approximate test and confidence interval to derive closed-form sample size formulas that can be used to determine the sample size needed to test coefficient alpha with desired power or to test coefficient alpha with desired precision. (SLD)
Descriptors: Estimation (Mathematics), Reliability, Sample Size, Test Construction