Gabriel Bonnin, Gerrit Hirschfeld, Ruth von Brachel, Jürgen Margraf
{"title":"How Happy Is Happy Enough?","authors":"Gabriel Bonnin, Gerrit Hirschfeld, Ruth von Brachel, Jürgen Margraf","doi":"10.1027/1015-5759/a000850","DOIUrl":null,"url":null,"abstract":"Abstract: As positive mental health (PMH) has a significant impact on general and mental health, it is an important target for interventions. Cut points are a useful basis for identifying participants with a greater need for such interventions. Representative ( n = 9,440) and student ( n = 22,833) samples from Germany, Russia, the US, and China were reanalyzed. Two different anchors were used to determine optimal cut points for the PMH-scale: (1) a combined measure of PMH-related questionnaires and (2) the Global Assessment of Functioning Scale (GAF). A kernel-based method to determine optimal cut points and bootstrapping to identify potential cross-cultural differences were used. Acceptable to excellent levels of classification accuracy were found regarding the combined measure (AUCs between .75 and .87) across all samples. Using the GAF resulted in poor discriminatory power (AUC = .69). Optimal cut points varied systematically between countries and samples. Country and sample-specific cut points for the PMH scale should be used to identify individuals with high versus low levels of PMH. Specifically, we suggest using cut points of 21, 22, and 24 in Germany, Russia, and the US, respectively. For student samples, we recommend cut points of 18, 19, and 20 in Germany, Russia, and China, respectively.","PeriodicalId":3,"journal":{"name":"ACS Applied Electronic Materials","volume":"53 2","pages":""},"PeriodicalIF":4.7000,"publicationDate":"2024-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Applied Electronic Materials","FirstCategoryId":"102","ListUrlMain":"https://doi.org/10.1027/1015-5759/a000850","RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
Abstract
Abstract: As positive mental health (PMH) has a significant impact on general and mental health, it is an important target for interventions. Cut points are a useful basis for identifying participants with a greater need for such interventions. Representative ( n = 9,440) and student ( n = 22,833) samples from Germany, Russia, the US, and China were reanalyzed. Two different anchors were used to determine optimal cut points for the PMH-scale: (1) a combined measure of PMH-related questionnaires and (2) the Global Assessment of Functioning Scale (GAF). A kernel-based method to determine optimal cut points and bootstrapping to identify potential cross-cultural differences were used. Acceptable to excellent levels of classification accuracy were found regarding the combined measure (AUCs between .75 and .87) across all samples. Using the GAF resulted in poor discriminatory power (AUC = .69). Optimal cut points varied systematically between countries and samples. Country and sample-specific cut points for the PMH scale should be used to identify individuals with high versus low levels of PMH. Specifically, we suggest using cut points of 21, 22, and 24 in Germany, Russia, and the US, respectively. For student samples, we recommend cut points of 18, 19, and 20 in Germany, Russia, and China, respectively.
期刊介绍:
ACS Applied Electronic Materials is an interdisciplinary journal publishing original research covering all aspects of electronic materials. The journal is devoted to reports of new and original experimental and theoretical research of an applied nature that integrate knowledge in the areas of materials science, engineering, optics, physics, and chemistry into important applications of electronic materials. Sample research topics that span the journal's scope are inorganic, organic, ionic and polymeric materials with properties that include conducting, semiconducting, superconducting, insulating, dielectric, magnetic, optoelectronic, piezoelectric, ferroelectric and thermoelectric.
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