http://www.sciepub.com/journal/RPBS Research in Psychology and Behavioral Sciences is a peer-reviewed, open access journal that provides rapid publication of articles in all areas of psychology and behavioral sciences. The goal of this journal is to provide a platform for scientists and academicians all over the world to promote, share, and discuss various new issues and developments in different areas of psychology and behavioral Sciences. Science and Education Publishing en 2013 Science and Education Publishing Co. Ltd All rights reserved. Research in Psychology and Behavioral Sciences 13 1 January 2025 2013 Science and Education Publishing Co. Ltd All rights reserved. http://pubs.sciepub.com/rpbs/13/1/1 Sean I. Gibbs, Darci Salsberry, Logan Patterson 2025-09-07 Science and Education Publishing 2025-09-07 1 13 1 8 10.12691/rpbs-13-1-1 http://pubs.sciepub.com/rpbs/13/1/2 Background: The surveillance of physical activity (PA) at the population level generally involves administering a small number of survey questions. The combining of multiple related items to create a scale that yields a score has many psychometric benefits. Purpose: The aim of this research was to validate a new scale measuring physical activity (PA) using items contained in a large national survey of older adults. Methods: Data from 12,145 adults 50+ years of age participating in the 2022 Health and Retirement Study were used. The assessment strategy involved six steps: 1) defining the PA scale (PAS) items and categories, 2) factor analysis, 3) internal consistency reliability, 4) item response theory (IRT) analysis, 5) construct validity correlations, and 6) modeling PAS scores with a general health (GH) outcome. Polychoric correlations between items were used for the analyses. A graded response model (GRM) for polytomous items was employed for the IRT analysis. Multinomial logistic regression was used to model GH categories with both categorical and numeric PAS scores. Results: The PAS included three items of vigorous (VPA), moderate (MPA), and light PA (LPA), each with the same rating scale consisting of “inactive,” “low/moderately active,” and “highly active.” Factor analysis retained a single factor with 70% explained variance, whilst the reliability coefficient for items was 0.79. IRT calibration showed category thresholds ranging from -1.89 to 1.07 and item discrimination parameters between 1.37 and 5.27. IRT theta scores correlated with the PAS sum score (r=0.96), age (r=-0.22), GH (r=0.41), and timed walk performance (r=0.38). Modeling showed that for each point increase in the numeric PAS score, odds of poor (OR=0.31, 0.27-0.34), fair (OR=0.47, 0.43-0.52), good (OR=0.60, 0.56-0.65), and very good (OR=0.79, 0.73-0.85) GH, as compared to excellent (reference), decreased. Conclusion: These results support the use of a simple 3-item PAS to measure PA in older adults.]]> Peter D. Hart 2025-12-24 Science and Education Publishing 2025-12-24 1 13 9 15 10.12691/rpbs-13-1-2 http://pubs.sciepub.com/rpbs/13/1/3 N = 934), while Time 2 (N = 318) and Time 3 (N = 254) followed the same Japanese university students longitudinally. Factor analyses supported a one-factor structure consistent with the original PRS, showing excellent internal consistency (α = .93–.94) and good test–retest reliability (ICC = .63). PR correlated positively with happiness and negatively with loneliness and depression, and these associations remained significant after controlling for positive affect. These findings suggest that PR is a crucial interpersonal emotional process supporting well-being, even in a collectivistic cultural context.]]> Rae Na Kang, Keiko Otake, Hidefumi Hitokoto 2025-12-30 Science and Education Publishing 2025-12-30 1 13 16 22 10.12691/rpbs-13-1-3