Dataset for: How happy is happy enough? A cross-cultural comparison of optimal cut points for the Positive Mental Health Scale.

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.

Objective: 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. Method: Representative (n=15,370) and student (n=22,833) samples from Germany, Russia, the US, and China were re-analyzed. Three different anchors were used as reference to determine optimal cut points: (1) the Satisfaction with Life Scale, (2) a combined measure of PMH-related questionnaires, and (3) the General Assessment of Functioning Scale. A kernel-based method to determine optimal cut points and bootstrapping to identify potential cross-cultural differences were used. Results: Acceptable to excellent levels of classification accuracy were found in relation to life satisfaction and the combined measure (AUCs between 0.74 and 0.89) across all samples. Using the General Assessment of Functioning Scale resulted in poor discriminatory power (AUC=.69). Cut points identified as optimal differed systematically between countries and samples. The lowest cut points were found in Germany and the highest in the US with Russia and China in between. Cut points for students were lower than for the general population. Conclusions: Country and sample specific cut points for the PMH-scale should be used to identify individuals with high versus low levels of positive mental health. Specifically, we suggest using cut points of 19, 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.