The study by Steel, Schmidt, and Shultz (2008) revisits the relationship between personality traits and subjective well-being (SWB), addressing the issue of *commensurability*—the problem of combining disparate measures in meta-analyses. The authors argue that previous meta-analyses, which grouped together different measures of personality and SWB, may have underestimated the true relationship due to methodological differences. They focus on individual measures of personality (e.g., NEO) and categories of SWB (e.g., Life Satisfaction) and use a multivariate approach to assess how much variance personality traits account for individually and collectively. Key findings include: 1. **Construct Similarities**: Personality traits like Neuroticism and Extraversion are closely related to SWB components such as negative and positive affect. 2. **Stability and Heritability**: Long-term SWB is largely determined by genetic influences, with personality traits playing a significant role. 3. **Situational Strength**: The environment can mediate the relationship between personality and SWB, particularly in job satisfaction, which is more influenced by situational factors than other aspects of SWB. The study uses a larger and more diverse sample size compared to previous meta-analyses, allowing for more precise estimates. It also addresses the issue of commensurability by focusing on single scales and controlling for measurement differences. The results indicate that the relationship between personality and SWB is much stronger than previously thought, with personality traits accounting for up to 41% or 63% of the variance in SWB, depending on the measure used. The study highlights the importance of using appropriate scales and controlling for measurement differences in future meta-analyses to better understand the complex relationship between personality and subjective well-being.The study by Steel, Schmidt, and Shultz (2008) revisits the relationship between personality traits and subjective well-being (SWB), addressing the issue of *commensurability*—the problem of combining disparate measures in meta-analyses. The authors argue that previous meta-analyses, which grouped together different measures of personality and SWB, may have underestimated the true relationship due to methodological differences. They focus on individual measures of personality (e.g., NEO) and categories of SWB (e.g., Life Satisfaction) and use a multivariate approach to assess how much variance personality traits account for individually and collectively. Key findings include: 1. **Construct Similarities**: Personality traits like Neuroticism and Extraversion are closely related to SWB components such as negative and positive affect. 2. **Stability and Heritability**: Long-term SWB is largely determined by genetic influences, with personality traits playing a significant role. 3. **Situational Strength**: The environment can mediate the relationship between personality and SWB, particularly in job satisfaction, which is more influenced by situational factors than other aspects of SWB. The study uses a larger and more diverse sample size compared to previous meta-analyses, allowing for more precise estimates. It also addresses the issue of commensurability by focusing on single scales and controlling for measurement differences. The results indicate that the relationship between personality and SWB is much stronger than previously thought, with personality traits accounting for up to 41% or 63% of the variance in SWB, depending on the measure used. The study highlights the importance of using appropriate scales and controlling for measurement differences in future meta-analyses to better understand the complex relationship between personality and subjective well-being.