Three-Way Repeated Measures ANOVA 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 […]
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Independent-Samples T-Test 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
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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
Multiple Regression A multiple regression is used to predict a continuous dependent variable based on multiple independent variables. As such, it extends simple linear regression, which is used when you have only one continuous independent variable. Multiple regression also allows you to determine the overall fit (variance explained) of the model and the relative contribution of
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Regression Analysis 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
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DR. EUN (ANN) UM OF AMSTAT CONSULTING SAYS, “I ENJOY GENERATING NEW IDEAS AND DEVISING FEASIBLE SOLUTIONS TO BROADLY RELEVANT PROBLEMS. By igorswedy, May 26, 2023, 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
Correlation Analysis The correlation analysis is used to determine the strength and direction of a linear relationship between two continuous variables. More specifically, the test generates a coefficient called the Pearson correlation coefficient, denoted as r (i.e., the italic lowercase letter r), and it is this coefficient that measures the strength and direction of a linear
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Paired-Samples T-Test The paired-samples t-test serves the purpose of assessing whether the mean discrepancy between interconnected observations is statistically significant. These observations may involve the same individuals evaluated at two distinct time points or be subjected to two conditions concerning the same dependent variable. Alternatively, you might have two sets of participants matched based on
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Chi-Square Test The chi-square test can be used to test a variety of sizes of contingency tables, as well as more than one type of null and alternative hypotheses. This guide focuses on contingency tables that are greater than 2 x 2, which are often referred to as r x c contingency tables, and tests whether
