Due to the range of conflicting criteria regarding minimum sample size needed for a scale/questionnaire validation study, the objective of this review is to analyze sample sizes used in published journal articles to contribute a pragmatic perspective to the discussion on sample sizes. A sample of 1999 articles published in a Scopus-indexed journal about the validation of a scale or questionnaire during 2021 were analyzed for this study. Abstracts from these articles were tabulated by two data entry professionals and any discrepancies were reviewed by the author. The sample size data was grouped by highest quartile of the journal publishing the article and further sub-categorized based on the inclusion of medical patients or students in each study's population. From the total sample, 1750 articles provided sufficient information in their summary to determine the sample size used. Of these, the majority were published in quartile 1 (784) and quartile 2 (620) journals. Mean values by quartile ranged from 389 (quartile 3) to 2032 (quartile 1), but extreme outliers limited the usefulness of the simple mean. Thus, outlier-removed means were calculated, and in most cases, these sample size values were higher for studies involving students and lower for studies involving patients. This study is limited by its focus on a single database and by including all phases of validation from initial quantitative instrument design studies (which tend to have the lowest sample sizes) up to international macro-studies (which can have hundreds of thousands of participants.) Nevertheless, the results of this study provide an additional practical perspective for the academic discussion regarding minimum sample size based on accepted practice.

The objective was to evaluate the cross-cultural measurement invariance of the Fear of COVID-19 Scale (FCV-19S) in 7 Latin American countries (Colombia, Ecuador, El Salvador, Mexico, Paraguay, Argentina, and Uruguay). The participants were 2944 people, selected through non-probability sampling for convenience, where the majority were women. Data collection occurred between 12 June and 14 September 2020. The results indicated that the model with two related factors presents a better fit to the data and has partial scalar invariance among the 7 countries. Differences in emotional and physiological reactions were observed between the countries.

The aim of the study was to analyze the psychometric properties of the Spanish version of the Coronavirus Anxiety Scale (CAS), using Item Response Theory (IRT) and Confirmatory Factor Analysis (CFA). The participants were 790 Peruvians, selected through a convenience sampling, where the majority were women. The CFA models indicated that the one-dimensional structure better represents the data, is reliable and invariant between men and women. Likewise, IRT findings indicate that CAS is more informative for high levels of COVID-19 anxiety. The CAS in Spanish has adequate psychometric properties to be used as a short measure of COVID-19 anxiety.

In the face of the psychological crisis of fear caused by the COVID-19 pandemic, it is relevant to know the positive impact of hope and resilience during this context. The purpose of this study was to determine the correlation between hope and resilience with fear of COVID-19 in young people. The design was non-experimental, cross-sectional, and correlational. The sample consisted of 192 young people living in Metropolitan Lima, Peru. We used the Hope-Despair Questionnaire, the Resilience Scale, and the COVID-19 Fear Questionnaire. The results show that there is a significant correlation between hope, resilience, and fear of COVID-19 in young people. On the other hand, a significant difference was found in resilience according to gender. Likewise, it was found that the variables hope and resilience explain 81% (R² adjusted) of the fear of COVID-19 (F test = 21.53; p < 0.01). Hope and resilience are protective factors that have a positive impact when facing the fear of COVID-19. Thus, policies, programs, and public health strategies related to positive mental health should be promoted, with emphasis on hope and resilience.

The objective of this study was to evaluate factors related to the mental health of Peruvian older adults during the COVID-19 pandemic. The study had a cross-sectional and observational design. A total of 274 older adults in Lima, Peru (M_age = 67.86) filled out a sociodemographic survey, the Coronavirus Anxiety Scale, Mental Health Inventory-5, Patient Health Questionnaire-2 item, and Generalized Anxiety Disorder Scale. A Structural Equation Model (SEM) was estimated to test an a priori model that relates the sociodemographic variables, COVID-19 Anxiety, psychological well-being, anxiety and depression. The model fit indices indicated a good fit to the data. The socio-demographic variables explained 23.8% of the variance of the COVID-19 Anxiety (R² = .238). Socio-demographic variables explained 50.5% of psychological well-being variance, 52% of anxiety and 46.9% of depression. Also, sex, work; being diagnosed with COVID-19; family member with COVID-19 diagnosis; and time of exposure to COVID-19 information had statistically significant effects psychological well-being, anxiety and depression. In conclusion, some sociodemographic characteristics and COVID-19 anxiety affect the psychological well-being, anxiety and depression. The findings may allow for a better understanding of the mental health of older adults during the COVID-19 pandemic and guide government responses to detect, anticipate and minimize its impact on the mental health of this population.