articles that used ANOVA analysis methods. Rela-tively, these articles did not represent a large propor-tion of the total number of articles. However, when the design of a study dictates the use of ANOVAmethods, one should analyze the data using appropriate statisti-cal methods rather than misusing multiple t tests. Consider a study in which 2 new treatments (X and Y) are being compared with a control group (C). One way to compare outcomeswould simply be to compare X with C, Y with C, and X with Y using 3 t tests. If we were to compare 4 groups, thenwewould need to use 6 t tests. The difficulty with using multiple t tests is that as the number of groups increases, so will the likeli-hood of finding a difference between anypair of groups sim...
Aim: To present and explain the one-way analysis of variance (ANOVA).Background: Quantitative method...
The two-way design has been variously described as a matched-sample F-test, a simple within-subjects...
This article is the eighth in a series exploring the importance of research design, statistical anal...
Consider a study in which 2 new treatments are being compared with a control group. One way to compa...
Experiments are becoming increasingly important in marketing research. Supposea company has to decid...
Multiple t-tests (or their non-parametric equivalents) are often used erroneously to compare the mea...
The analysis of variance ( ANOVA) is a frequently used statistical procedure by which the equality o...
Analysis of variance (ANOVA) is a core technique for analysing data in the Life Sciences. This refer...
We provide an expository presentation f multivariate analysis of variance (MANOVA) for both consumer...
Significance testing in comparisons is based on Student’s t-tests for pairs and analysis of variance...
Not AvailableIn t-test, the difference between 2 sample means are tested for Significance. In ANOVA...
There is an alternative model of the 1-way ANOVA called the 'random effects' model or ‘nested’ desig...
Research is an art of scientific investigation. It is known as voyage of discovery. Analysis of vari...
In the last editions of Making sense of methods and measurement, we explored how to compare two samp...
The Analysis of Variance (ANOVA) test has long been an essential tool for researchers conducting stu...
Aim: To present and explain the one-way analysis of variance (ANOVA).Background: Quantitative method...
The two-way design has been variously described as a matched-sample F-test, a simple within-subjects...
This article is the eighth in a series exploring the importance of research design, statistical anal...
Consider a study in which 2 new treatments are being compared with a control group. One way to compa...
Experiments are becoming increasingly important in marketing research. Supposea company has to decid...
Multiple t-tests (or their non-parametric equivalents) are often used erroneously to compare the mea...
The analysis of variance ( ANOVA) is a frequently used statistical procedure by which the equality o...
Analysis of variance (ANOVA) is a core technique for analysing data in the Life Sciences. This refer...
We provide an expository presentation f multivariate analysis of variance (MANOVA) for both consumer...
Significance testing in comparisons is based on Student’s t-tests for pairs and analysis of variance...
Not AvailableIn t-test, the difference between 2 sample means are tested for Significance. In ANOVA...
There is an alternative model of the 1-way ANOVA called the 'random effects' model or ‘nested’ desig...
Research is an art of scientific investigation. It is known as voyage of discovery. Analysis of vari...
In the last editions of Making sense of methods and measurement, we explored how to compare two samp...
The Analysis of Variance (ANOVA) test has long been an essential tool for researchers conducting stu...
Aim: To present and explain the one-way analysis of variance (ANOVA).Background: Quantitative method...
The two-way design has been variously described as a matched-sample F-test, a simple within-subjects...
This article is the eighth in a series exploring the importance of research design, statistical anal...