Confidence Intervals for the Squared Multiple Semipartial Correlation Coefficient

Sample Size Planning for the Squared Multiple Correlation Coefficient: Accuracy in Parameter Estimation via Narrow Confidence Intervals.

Methods of sample size planning are developed from the accuracy in parameter approach in the multiple regression context in order to obtain a sufficiently narrow confidence interval for the population squared multiple correlation coefficient when regressors are random. Approximate and exact methods are developed that provide necessary sample size so that the expected width of the confidence int...

1981: THE EFFECT OF FISHER'S z-TRANSFORMATION ON CONFIDENCE INTERVALS FOR THE CORRELATION COEFFICIENT

This paper describes a Monte Carlo study of three est imators of variance for the estimated co r re la t i on c o e f f i c i e n t in f i n i t e populat ion sampling. The variance est imators are the random group, jackkn i fe and f i r s t order Taylor series est imators . The comparison of the est imators is based on two c r i t e r i a : 1) the proper t ies of the variance est imator i t s ...

Confidence Intervals for Omega Coefficient: Proposal for Calculus.

La confiabilidad es entendida como una propiedad métrica de las puntuaciones de un instrumento de medida. Recientemente se viene utilizando el coeficiente omega (ω) para la estimación de la confiabilidad. No obstante, la medición nunca es exacta por la influencia del error aleatorio, por esa razón es necesario calcular y reportar el intervalo de confianza (IC) que permite encontrar en valor ver...

Performance Evaluation of Confidence Intervals for Ordinal Coefficient Alpha

Sample Size Calculation for Estimating or Testing a Nonzero Squared Multiple Correlation Coefficient.

The problems of hypothesis testing and interval estimation of the squared multiple correlation coefficient of a multivariate normal distribution are considered. It is shown that available one-sided tests are uniformly most powerful, and the one-sided confidence intervals are uniformly most accurate. An exact method of calculating sample size to carry out one-sided tests (null hypothesis may inv...