Measuring Positive Health using the My Positive Health (MPH) and Individual Recovery Outcomes Counter (I.ROC) Dialogue Tools: A Panel Study on Measurement Properties in a Representative General Dutch Population
Vera P. van Druten, Margot J. Metz, Jolanda J. P. Mathijssen, Dike van de Mheen, Marja van Vliet, Bridey Rudd, Esther de Vries, Lenny M. W. Nahar van - Venrooij
{"title":"Measuring Positive Health using the My Positive Health (MPH) and Individual Recovery Outcomes Counter (I.ROC) Dialogue Tools: A Panel Study on Measurement Properties in a Representative General Dutch Population","authors":"Vera P. van Druten, Margot J. Metz, Jolanda J. P. Mathijssen, Dike van de Mheen, Marja van Vliet, Bridey Rudd, Esther de Vries, Lenny M. W. Nahar van - Venrooij","doi":"10.1007/s11482-024-10356-3","DOIUrl":null,"url":null,"abstract":"<div><p>We aimed to investigate whether the dialogue tools My Positive Health (MPH) and Individual Recovery Outcomes Counter (I.ROC) tools were useful for <i>quantitively measuring</i> the <i>positive health</i> construct for monitoring and scientific purposes as well. An observational cross-sectional study was conducted in a representative general Dutch population (the LISS panel) to investigate factor structures and internal consistency from the 42-items MPH and 12-items I.ROC. After randomly splitting the dataset, principal component analysis (PCA) and confirmatory factor analysis (CFA) were applied. Pearson and Spearman correlation coefficient between both tools’ total scores were calculated. 2,457 participants completed the questionnaires. A six-factor structure was extracted for MPH (PH42) and a two-factor structure for I.ROC (I.ROC12). Explained variances were 68.1% and 56.1%, respectively. CFA resulted in good fit indices. Cronbach’s alphas were between 0.74 to 0.97 (PH42) and 0.73 to 0.87 (I.ROC12). Pearson correlation between the total scores was 0.8 and Spearman correlation was 0.77. Both PH42 and I.ROC12 are useful to quantitatively measure positive health aspects which can be summarised in sum scores. The dimensions found in this study and the corresponding item division differed from the dimensions of the original dialogue tools. Further research is recommended focussing on item reduction for PH42, factor structure of I.ROC, assessment of construct validity (in a general population) and response scales in more depth.</p></div>","PeriodicalId":51483,"journal":{"name":"Applied Research in Quality of Life","volume":"19 5","pages":"2825 - 2846"},"PeriodicalIF":2.8000,"publicationDate":"2024-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s11482-024-10356-3.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Research in Quality of Life","FirstCategoryId":"90","ListUrlMain":"https://link.springer.com/article/10.1007/s11482-024-10356-3","RegionNum":3,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"SOCIAL SCIENCES, INTERDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
We aimed to investigate whether the dialogue tools My Positive Health (MPH) and Individual Recovery Outcomes Counter (I.ROC) tools were useful for quantitively measuring the positive health construct for monitoring and scientific purposes as well. An observational cross-sectional study was conducted in a representative general Dutch population (the LISS panel) to investigate factor structures and internal consistency from the 42-items MPH and 12-items I.ROC. After randomly splitting the dataset, principal component analysis (PCA) and confirmatory factor analysis (CFA) were applied. Pearson and Spearman correlation coefficient between both tools’ total scores were calculated. 2,457 participants completed the questionnaires. A six-factor structure was extracted for MPH (PH42) and a two-factor structure for I.ROC (I.ROC12). Explained variances were 68.1% and 56.1%, respectively. CFA resulted in good fit indices. Cronbach’s alphas were between 0.74 to 0.97 (PH42) and 0.73 to 0.87 (I.ROC12). Pearson correlation between the total scores was 0.8 and Spearman correlation was 0.77. Both PH42 and I.ROC12 are useful to quantitatively measure positive health aspects which can be summarised in sum scores. The dimensions found in this study and the corresponding item division differed from the dimensions of the original dialogue tools. Further research is recommended focussing on item reduction for PH42, factor structure of I.ROC, assessment of construct validity (in a general population) and response scales in more depth.
期刊介绍：
The aim of this journal is to publish conceptual, methodological and empirical papers dealing with quality-of-life studies in the applied areas of the natural and social sciences. As the official journal of the ISQOLS, it is designed to attract papers that have direct implications for, or impact on practical applications of research on the quality-of-life. We welcome papers crafted from interdisciplinary, inter-professional and international perspectives. This research should guide decision making in a variety of professions, industries, nonprofit, and government sectors, including healthcare, travel and tourism, marketing, corporate management, community planning, social work, public administration, and human resource management. The goal is to help decision makers apply performance measures and outcome assessment techniques based on concepts such as well-being, human satisfaction, human development, happiness, wellness and quality-of-life. The Editorial Review Board is divided into specific sections indicating the broad scope of practice covered by the journal. The section editors are distinguished scholars from many countries across the globe.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
