The one sample t-test is compared with the Wilcoxon Signed-Rank test for identical data sets representing various Likert scales. An empirical approach is used with simulated data. Comparisons are based on observed error rates for 27,850 data sets. Recommendations are provided
This paper presents and statistically compares eight alternative methods that could possibly be used...
<p>Compared are the average absolute errors, measured by <i>Alpha</i> (top) and (bottom). Thick sol...
Over the years, non-parametric test statistics have been the only solution to solve data that do no...
Likert questionnaires are widely used in survey research, but it is unclear whether the item data sh...
Group comparisons are at the heart of many research questions addressed by researchers.Making infere...
Many statistical tests require that your data follow a normal distribution. Sometimes this is not th...
For two independent samples there is much debate in the literature whether parametric or non-paramet...
The process of dichotomizing the possible conclusions of an experiment and using probability theory ...
A previous study indicated that the Wilcoxon W test showed a power advantage over the student’s t-te...
We discuss analysis of 5-grade Likert type data in the two-sample case. Analysis using two-sample t ...
Assuming basic principles of statistical inference, the signed rank and rank sum hypothesis testing ...
<p>The table reports the <i>p</i>-values and corresponding <i>W</i> statistics (in brackets) returne...
In elementary books on applied statistics (e.g., Siegel, 1988; Agresti, 1990) and books on research ...
ABSTRACT ROBUSTNESS AND POWER OF THE KORNBROT RANK DIFFERENCE, SIGNED RANKS, AND DEPENDENT SAMPLES T...
peer reviewedThe Wilcoxon matched pairs signed ranks (WMPSR) test is one of the most common statisti...
This paper presents and statistically compares eight alternative methods that could possibly be used...
<p>Compared are the average absolute errors, measured by <i>Alpha</i> (top) and (bottom). Thick sol...
Over the years, non-parametric test statistics have been the only solution to solve data that do no...
Likert questionnaires are widely used in survey research, but it is unclear whether the item data sh...
Group comparisons are at the heart of many research questions addressed by researchers.Making infere...
Many statistical tests require that your data follow a normal distribution. Sometimes this is not th...
For two independent samples there is much debate in the literature whether parametric or non-paramet...
The process of dichotomizing the possible conclusions of an experiment and using probability theory ...
A previous study indicated that the Wilcoxon W test showed a power advantage over the student’s t-te...
We discuss analysis of 5-grade Likert type data in the two-sample case. Analysis using two-sample t ...
Assuming basic principles of statistical inference, the signed rank and rank sum hypothesis testing ...
<p>The table reports the <i>p</i>-values and corresponding <i>W</i> statistics (in brackets) returne...
In elementary books on applied statistics (e.g., Siegel, 1988; Agresti, 1990) and books on research ...
ABSTRACT ROBUSTNESS AND POWER OF THE KORNBROT RANK DIFFERENCE, SIGNED RANKS, AND DEPENDENT SAMPLES T...
peer reviewedThe Wilcoxon matched pairs signed ranks (WMPSR) test is one of the most common statisti...
This paper presents and statistically compares eight alternative methods that could possibly be used...
<p>Compared are the average absolute errors, measured by <i>Alpha</i> (top) and (bottom). Thick sol...
Over the years, non-parametric test statistics have been the only solution to solve data that do no...