Add to ORKGThe purpose for this paper is to explore how non-normal distributions impact the differences in the obtained null hypothesis test decision when comparing parametric and non-parametric analyses of the same non-normal data. The obtained effect size estimates will also be computed and compared to determine how the interpretation of the effect might differ for non-normal distributions in both the parametric and nonparametric condition
In the Dichotomous model (A), the density curve is replaced by a histogram, as effects sizes are str...
Bootstrap tests are tests for which the significance level is calculated by some sort of bootstrap p...
Traditional Null Hypothesis Testing procedures are poorly adapted to theory testing. The methodology...
Cohen’s d is a widely-reported standardized effect size statistic in research. Research has establi...
ABSTRACT. Suppose there are k independent studies and for each study the experi-mental and control g...
Motivation: Calculating the magnitude of treatment effects or of differences between two groups is a...
The Null Hypothesis Significance Testing (NHST) paradigm is increasingly criticized. Estimation appr...
Master of ScienceDepartment of StatisticsPaul NelsonEffect size is a concept that was developed to b...
The null hypothesis of equal distributions, 0 1 2:... KH F F F , is commonly used to compare tw...
The parametric tests are often used as default without regard to distribution shape. Even more rarel...
MotivationCalculating the magnitude of treatment effects or of differences between two groups is a c...
<p>The reference list contains only a selection of relevant publications. Abbreviations: DE denotes ...
For years, researchers have debated the misinterpretation of the null hypothesis significance test (...
Effect size measures are used to quantify treatment effects or associations between variables. Such ...
pISSN 1738-429X eISSN 2234-4446 In most medical research the P value is commonly used to describe te...
In the Dichotomous model (A), the density curve is replaced by a histogram, as effects sizes are str...
Bootstrap tests are tests for which the significance level is calculated by some sort of bootstrap p...
Traditional Null Hypothesis Testing procedures are poorly adapted to theory testing. The methodology...
Cohen’s d is a widely-reported standardized effect size statistic in research. Research has establi...
ABSTRACT. Suppose there are k independent studies and for each study the experi-mental and control g...
Motivation: Calculating the magnitude of treatment effects or of differences between two groups is a...
The Null Hypothesis Significance Testing (NHST) paradigm is increasingly criticized. Estimation appr...
Master of ScienceDepartment of StatisticsPaul NelsonEffect size is a concept that was developed to b...
The null hypothesis of equal distributions, 0 1 2:... KH F F F , is commonly used to compare tw...
The parametric tests are often used as default without regard to distribution shape. Even more rarel...
MotivationCalculating the magnitude of treatment effects or of differences between two groups is a c...
<p>The reference list contains only a selection of relevant publications. Abbreviations: DE denotes ...
For years, researchers have debated the misinterpretation of the null hypothesis significance test (...
Effect size measures are used to quantify treatment effects or associations between variables. Such ...
pISSN 1738-429X eISSN 2234-4446 In most medical research the P value is commonly used to describe te...
In the Dichotomous model (A), the density curve is replaced by a histogram, as effects sizes are str...
Bootstrap tests are tests for which the significance level is calculated by some sort of bootstrap p...
Traditional Null Hypothesis Testing procedures are poorly adapted to theory testing. The methodology...