Aligning Measurement of Psychological Traits and Economic Preferences

NIH RePORTER · NIH · R01 · $562,775 · view on reporter.nih.gov ↗

Abstract

Project Summary We propose a collaborative research project in psychology, child development, and behavioral economics investigating the comparability and predictive power of measures of human potential that are regularly used in these fields. Using data collected on common measures of personality traits, executive function (EF) skills, and economic preferences across multiple countries, we will apply rigorous statistical methodology to investigate the relationships among these attributes beginning in pre-adolescence and assess which dimensions best predict health, wellbeing, educational outcomes, wages, and workforce decisions. We will also examine the stability and malleability of child and adolescent traits, skills, and preferences across environments with different contexts and incentive structures. (1) We examine the commonality of traits, and (2) their uniqueness, and (3) the evolution of unique and common traits. We will examine additional measures beyond the traditional ones (for example Guanxi, a trait capturing sociability that is widely used in China) to examine their relationship with the standard measures, and whether they have additional predictive power. Personality traits, EF skills, and economic preferences in childhood and adolescence are important predictors of adult outcomes, including physical and mental health, educational attainment, and employment. Measures of these attributes, such as perseverance and time preference, are increasingly used to evaluate the impacts of childhood interventions, monitor progress in school, forecast health outcomes, and study economic and social inequality. However, little is known about how traits, skills, and preferences evolve and co-evolve across childhood and adolescence. This grant will support collaborative efforts to measure child and adolescent personality traits, EF skills, and economic preferences drawing on expertise from the Center for the Economics of Human Development (University of Chicago), the Educational Testing Service, the briq Institute on Behavior & Inequality (University of Bonn), the Institute of Child Development (University of Minnesota), and the Institute for Economic and Social Research (Jinan University). Using existing data combined with new data collection, we will explore the relationships across elicited trait, skill, and preference measures to determine the extent to which different measurement schemes capture common or distinct aspects of human differences, and if these relationships vary across cultures, gender, ethnicity, and race. Our analysis will standardize across the measures to account for factors that influence responses, leading to increased comparability. We will use our elicited measures and the latent factors underlying them to predict performance in school (e.g., absenteeism, grades, promotion, behavioral problems, graduation), health (e.g., physical, emotional, social), and wages, employment, and occupation. We will examine the stability and...

Key facts

NIH application ID
10934516
Project number
5R01HD107079-02
Recipient
UNIVERSITY OF CHICAGO
Principal Investigator
STEPHANIE M. CARLSON
Activity code
R01
Funding institute
NIH
Fiscal year
2024
Award amount
$562,775
Award type
5
Project period
2023-09-25 → 2028-06-30