Karen Sullivan1, Natalie Garden. 1. School of Psychology and Counselling, and Institute of Health and Biomedical Innovation, Queensland University of Technology, Queensland, Australia. karen.sullivan@qut.edu.au
Abstract
OBJECTIVE: To investigate the psychometric properties of 4 established postconcussive symptoms (PCS) measures. PARTICIPANTS: Ninety-six nonclinical participants (49 university students and 47 nonstudents; 73% male). Nonclinical participants were recruited because PCS symptoms are common in both clinical and nonclinical groups. MAIN OUTCOME MEASURES: Rivermead Postconcussion Symptoms Questionnaire, the Postconcussion Syndrome Symptom Scale, the Postconcussion Syndrome Checklist, and the British Columbia Postconcussion Symptom Inventory were completed in a counterbalanced order. ANALYSIS: Internal consistency and split-half reliability coefficients were calculated for each PCS measure. Convergent validity was examined using intercorrelations between PCS measures. Divergent validity was examined using correlations between each of the PCS measures and depression. RESULTS: PCS measures had moderate to good reliability and were significantly and positively correlated with each other. Divergent validity correlations were generally weaker than those between PCS measures. CONCLUSION: This study is the first to examine the psychometric properties of multiple PCS measures in a single sample. Given that clinicians may not know in advance the clinical or nonclinical group status of their clients, particularly in mild trauma cases, our data may help researchers and clinicians compare and select PCS measures.
OBJECTIVE: To investigate the psychometric properties of 4 established postconcussive symptoms (PCS) measures. PARTICIPANTS: Ninety-six nonclinical participants (49 university students and 47 nonstudents; 73% male). Nonclinical participants were recruited because PCS symptoms are common in both clinical and nonclinical groups. MAIN OUTCOME MEASURES: Rivermead Postconcussion Symptoms Questionnaire, the Postconcussion Syndrome Symptom Scale, the Postconcussion Syndrome Checklist, and the British Columbia Postconcussion Symptom Inventory were completed in a counterbalanced order. ANALYSIS: Internal consistency and split-half reliability coefficients were calculated for each PCS measure. Convergent validity was examined using intercorrelations between PCS measures. Divergent validity was examined using correlations between each of the PCS measures and depression. RESULTS: PCS measures had moderate to good reliability and were significantly and positively correlated with each other. Divergent validity correlations were generally weaker than those between PCS measures. CONCLUSION: This study is the first to examine the psychometric properties of multiple PCS measures in a single sample. Given that clinicians may not know in advance the clinical or nonclinical group status of their clients, particularly in mild trauma cases, our data may help researchers and clinicians compare and select PCS measures.
Authors: Diane Montella; Steven H Brown; Peter L Elkin; James C Jackson; S Trent Rosenbloom; Dietlind Wahner-Roedler; Gail Welsh; Bryan Cotton; Oscar D Guillamondegui; Henry Lew; Katherine H Taber; Larry A Tupler; Rodney Vanderploeg; Theodore Speroff Journal: AMIA Annu Symp Proc Date: 2011-10-22
Authors: Douglas P Terry; Grant L Iverson; William Panenka; Angela Colantonio; Noah D Silverberg Journal: PLoS One Date: 2018-06-01 Impact factor: 3.240
Authors: Johna K Register-Mihalik; Kevin M Guskiewicz; Stephen W Marshall; Karen L McCulloch; Jason P Mihalik; Martin Mrazik; Ian Murphy; Dhiren Naidu; Shabbar I Ranapurwala; Kathryn Schneider; Paula Gildner; Michael McCrea Journal: Front Neurol Date: 2019-11-08 Impact factor: 4.003