Dr. Sparrow is a social psychologist who studies romantic relationships. Several researchers have found that there is a link between income and marital satisfaction (e.g., Dakin & Wampler, 2008). Dr. Sparrow is curious as to whether there is a causal link between the two variables, such that having a higher income causes higher levels of marital satisfaction. He is confident that he cannot reasonably or ethically manipulate people's income level, so he decides to use a multivariate design. He is also curious as to whether there is a causal link between these two variables or if two other variables (number of arguments and life satisfaction) can explain the relationship. He measures his three variables in a sample of 124 married couples recruited from a local community center. Below are his results.
DV: Marital Satisfaction
Variable Beta (b) Significance ( p)
Income
.69
.03
Number of arguments
-.73
.01
Life satisfaction
.13
.81
Refer to Research Study 9.2 to answer the following four questions.
Given Dr. Sparrow's design, which of the following problems is his study best able to overcome?

Given Dr. Sparrow's design, his study is best able to overcome the issue of causality, as well as the issue of some potential third variables.

By using a multivariate design, Dr. Sparrow is able to examine the relationships between multiple variables simultaneously, which can help to identify the potential influence of each variable on the outcome of interest (marital satisfaction in this case). This can help to establish a causal link between the variables if one is present, as it allows for the examination of multiple variables at the same time, rather than just two variables as in a simple bivariate design.

Additionally, by controlling for other potential confounding variables, Dr. Sparrow is able to account for the potential influence of these variables on the relationship between income and marital satisfaction, which helps to establish a more robust understanding of the potential causal link between these two variables.

Learn more about Multivariate Design here:

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