Today’s research summary looks at another paper [pdf] by Angela Duckworth et al this time focusing on whether it makes sense to include personality variables in long national longitudinal surveys/studies like the MIDUS/ Dunedin/ HRS.
- Personality differences can be conceptualized to be either differences in ability (like cognitive ability), traits (stable patterns of thinking, feeling, acting) , motives or narratives and this paper focuses on traits to the exclusion of other measures of personality. Even in traits, the traits of concern are the Big Five traits of Neuroticism, Extraversion, Agreeableness, Conscientiousness and Openness.
- Personality, in general, and these traits, in particular, are known to predict a range of outcomes like health, achievement, and relationships. The authors believe that large panel surveys should measure these traits to find the correlations with other outcomes being measured. They review research on how traits predict wealth and health and are predicted by underlying genetic polymorphisms or variations.
- For elaborating the association between traits and genes they look at candidate gene studies as well as GWAS. Extraversion is associated with polymorphisms in Dopamine subsystem related genes. Nueroticism is primarily associated with serotenergic genes. Agreeableness and Conscientiousness are both affected by polymorphsism in genes related to dopamine as well as serotonin. Openness to COMT variation. Read the paper to get additional nuances.
- When it comes to economic outcomes, more introverted and more emotionally stable (less in neuroticism) individuals were more likely to save over the lifetime and borrow less; reverse was found for those high in agreeableness. Emotional stability was the best predictor of earnings; extraversion had a complex relation but overall positively predicted earnings; while agreeableness had a very slight negative impact on earning.
- In terms of health, traits like Conscientiousness had a direct effect on health as well as indirect effects mediated by healthy behaviors and educational attainments. In general it is safe to conclude that personality traits do not affect health outcomes directly but by their impact on problematic or protective behaviors. Personality traits have also been linked to mortality.
- The authors recommend that personality traits should be measured in large panel studies, and measured as far as consistently, using say BFI, so that they can be used to predict important life outcomes. Moreover they recommend that as personality traits can change , they should be treated as dependent variables too and measured in each subsequent measurement time.
- One recommendation they have is to keep such trait measures short and relevant; also they recommend multiple measures using informant reports or cognitive tests like go-no go task. However I ‘m not sure if that may be practical in large surveys.
- They also highlight the concerns about ‘flush-right’ responding where some unmotivated participants who are juts going through the motions of filling the survey may keep choosing the extreme right option making the survey results suspect. The instruments should have something inbuilt to detect such responding just like one detects social desirability.
Overall its a pretty decent paper to understand some of the antecedents (genetics) as well as consequents (health and wealth) of Big Five traits and makes a strong case for incorporating big five measures in such large scale studies and surveys. Check the paper here [pdf] .