98%
921
2 minutes
20
This study introduces the Skeptical Optimism Scale (SkO) and presents preliminary evidence of its content, construct, and criterion validity. Skeptical optimism refers to dispositional tendencies of having general positive expectations about the future, conditional on critical analysis and in-depth exploration of (potential negative) outcomes. We developed an initial pool of 31 items that explore positive expectations in three main life domains (finding solutions to difficult problems, mastering novel and challenging tasks, and effectively dealing with general life challenges) that were subject to content analysis by eight independent raters. The remaining items were tested for criterion and predictive validity in two samples ( = 198 and = 417 participants). Factor analyses supported a three-factor structure and the refined 17-item version of the scale showed good reliability and validity. To support applications in settings requiring brief instruments, we also developed a 9-item version, preserving the factorial structure and psychometric qualities of the original scale. The results show that the 17 as well as 9-item SkO scales have a good criterion validity as they positively and significantly correlate with the core self-evaluation scale, critical thinking disposition, and grit. Moreover, our results show that the SkO has good predictive validity as it is the only significant predictor of the creativity quotient in our sample.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC12382864 | PMC |
http://dx.doi.org/10.3390/bs15081017 | DOI Listing |
Behav Sci (Basel)
July 2025
Department of Psychology, Babeș-Bolyai University, 400015 Cluj-Napoca, Romania.
This study introduces the Skeptical Optimism Scale (SkO) and presents preliminary evidence of its content, construct, and criterion validity. Skeptical optimism refers to dispositional tendencies of having general positive expectations about the future, conditional on critical analysis and in-depth exploration of (potential negative) outcomes. We developed an initial pool of 31 items that explore positive expectations in three main life domains (finding solutions to difficult problems, mastering novel and challenging tasks, and effectively dealing with general life challenges) that were subject to content analysis by eight independent raters.
View Article and Find Full Text PDFEur J Cancer
August 2025
University of Siena, Siena, Italy; Center for Immuno-Oncology, University Hospital of Siena, Viale Bracci 16, Siena 53100, Italy; NIBIT Foundation Onlus, Italy. Electronic address:
After its practice-changing success, immune checkpoint inhibitors (ICI) have possibly reached a treatment plateau and novel drug candidates are currently being investigated to overcome resistance to ICI including patients who never responded to ICI. With some of the recent failures of novel checkpoint inhibitors, there has been a shift of focus to other modalities such as antibody drug conjugates and radiopharmaceuticals. And skepticism towards novel agents in immunotherapy, including cell therapies, has yet to be replaced by renewed optimism.
View Article and Find Full Text PDFEur Psychiatry
July 2025
Department of Psychiatry, University of Campania Luigi Vanvitelli, Caserta, Italy.
Artificial intelligence (AI) is transforming nearly every domain of science, and scholarly publishing is no exception. From automated language editing to machine-assisted peer review and large-scale content analysis, AI tools are increasingly embedded in scientific writing and publishing. The response from the scientific community has ranged from cautious optimism to outright skepticism.
View Article and Find Full Text PDFQual Health Res
July 2025
University of Melbourne, Melbourne, VIC, Australia.
Research on trust in healthcare AI has grown significantly over the last five years, underscoring its vital role in AI adoption within healthcare services. While the multi-dimensional nature of trust in AI is well-documented, the literature lacks an integrative framework to fully understanding its dynamics. This study explores clinicians' perceptions of using AI in breast screening, focusing on the evolving nature of trust in AI within a complex clinical environment.
View Article and Find Full Text PDFBMC Med Educ
June 2025
Oral Medicine and Periodontology, Faculty of Dentistry, Galala University, Suez, Egypt.
Background: Future dental applications of artificial intelligence (AI) are anticipated to be widely adopted across all dental specialities. However, there are some concerns among many users about the accuracy of the given information. Therefore, this study aimed to investigate postgraduate' dental students' perception, usage, and concerns towards AI systems' applications.
View Article and Find Full Text PDF