The two-way ANOVA is an extension of the one-way ANOVA that assesses the interaction effect between two independent variables on a continuous dependent variable. It is also called a “factorial ANOVA” or, more specifically, a “two-way between-subjects ANOVA.” In the context of an experiment, the two-way ANOVA can be extremely useful in understanding how different […]
The one-way multivariate analysis of variance (MANOVA) is a statistical method that extends the one-way ANOVA by accommodating two or more dependent variables instead of one. The one-way MANOVA assesses the differences in a combined set of dependent variables, known as a ‘linear composite’ or vector, across groups defined by an independent variable. This approach
ANCOVA is a statistical method that extends the one-way ANOVA to include a covariate variable. This covariate is linearly related to the dependent variable, and its inclusion into the analysis can increase the accuracy of detecting differences between groups of an independent variable. ANCOVA can be used in various scenarios. For instance, suppose you want
The two-way repeated measures ANOVA is a statistical test used to identify whether there is a significant interaction effect between two within-subjects factors on a continuous dependent variable. This type of ANOVA extends the one-way repeated measures ANOVA, which considers only one within-subjects factor. In this guide, we will refer to “within-subjects factors” as “factors”
The three-way repeated measures ANOVA is a robust statistical test used in experimental psychology and other scientific fields. The three-way repeated measures ANOVA enables researchers to explore complex interactions among three within-subject factors on a continuous outcome, thus extending the capabilities of the two-way repeated measures ANOVA by incorporating an additional variable into the analysis.
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This research project, funded by the National Institutes of Health (NIH), aimed to address a pressing concern related to the mental health and well-being of students – the potential difference in depression levels between students who have experienced bullying and their peers who have not. The project conducted a comprehensive survey-based study using a robust
SnoreRx had set out to scientifically evaluate their product’s effectiveness in reducing snoring – Snore Fix, a snore-relieving throat spray. The company recognized snoring as a common sleep-related issue, which often becomes a cause of concern for individuals and their sleep partners. To undertake this research initiative, SnoreRx approached us, seeking our expertise in conducting
DR. EUN (ANN) UM OF AMSTAT CONSULTING SAYS, “I ENJOY GENERATING NEW IDEAS AND DEVISING FEASIBLE SOLUTIONS TO BROADLY RELEVANT PROBLEMS. REDX Magazine Entrepreneurs often visualize an opportunity gap between what could exist and what exists. Dr. Eun (Ann) Um believes that for an entrepreneur to be effective, especially during turbulent moments, they must develop
A simple linear regression analysis is a statistical method that helps to predict the value of a dependent variable based on the value of an independent variable. It assesses the linear relationship between two continuous variables and provides insights into the relationship’s direction, magnitude, and statistical significance. For instance, you can use simple linear regression
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The independent-samples t-test is used to determine if a difference exists between the means of two independent groups on a continuous dependent variable. More specifically, it will let you determine whether the difference between these two groups is statistically significant. This test is also known by a number of different names, including the independent t-test,
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