The Type I Error Rate of the Robust Rank Order test under various population symmetry conditions is explored through Monte Carlo simulation. Findings indicate the test has difficulty controlling Type I error under generalized Behrens-Fisher conditions for moderately sized samples
It is sometimes the case that a theory proposes that the population means on two variables should ha...
Uniform random numbers were generated and transformed into four different sampling distributions: no...
Using previous work on the Behrens-Fisher problem, two approximate degrees of freedom tests, that ca...
The robust rank-order test was designed to be appropriate when the samples being compared have unequ...
This thesis investigates the robustness of the Type I error rate of the t test, the t test on ranks ...
Monte Carlo methods were used to examine Type I error and power rates of 2 versions (conventional an...
The impact on Type I error robustness and power for nine different methods of resolving ties was ass...
In this paper, six statistical tests of stochastic equality are compared with respect to Type I erro...
Group comparisons are at the heart of many research questions addressed by researchers.Making infere...
Monte Carlo research has demonstrated that there are many applications of the rank transformation th...
The classic F test for the hypothesis concerning the equality of two population variances is known ...
The biasedness and efficiency of coefficient alpha were studied given various error score distributi...
A Monte Carlo simulation study was conducted to investigate Type I error rates and power of several ...
The estimated bias and variance of commonly applied and jackknife variance estimators and observed s...
Researchers are commonly interested in comparing the means of independent groups when distributions ...
It is sometimes the case that a theory proposes that the population means on two variables should ha...
Uniform random numbers were generated and transformed into four different sampling distributions: no...
Using previous work on the Behrens-Fisher problem, two approximate degrees of freedom tests, that ca...
The robust rank-order test was designed to be appropriate when the samples being compared have unequ...
This thesis investigates the robustness of the Type I error rate of the t test, the t test on ranks ...
Monte Carlo methods were used to examine Type I error and power rates of 2 versions (conventional an...
The impact on Type I error robustness and power for nine different methods of resolving ties was ass...
In this paper, six statistical tests of stochastic equality are compared with respect to Type I erro...
Group comparisons are at the heart of many research questions addressed by researchers.Making infere...
Monte Carlo research has demonstrated that there are many applications of the rank transformation th...
The classic F test for the hypothesis concerning the equality of two population variances is known ...
The biasedness and efficiency of coefficient alpha were studied given various error score distributi...
A Monte Carlo simulation study was conducted to investigate Type I error rates and power of several ...
The estimated bias and variance of commonly applied and jackknife variance estimators and observed s...
Researchers are commonly interested in comparing the means of independent groups when distributions ...
It is sometimes the case that a theory proposes that the population means on two variables should ha...
Uniform random numbers were generated and transformed into four different sampling distributions: no...
Using previous work on the Behrens-Fisher problem, two approximate degrees of freedom tests, that ca...