The reverse correlation (RC) method has been widely used, because it allows visualization of mental representations without a priori assumptions about relevant dimensions. We employed the RC method to visualize mental representations of self and examined their relationships with traits related to self-image. For this purpose, 110 participants (70 women) performed a two-image forced choice RC task to generate a classification image of self (self-CI). Participants perceived their self-CIs as bearing a stronger resemblance to themselves than did CIs of others (filler-CIs). Valence ratings of participants who performed the RC task (RC sample) and of 30 independent raters both showed positive correlations with self-esteem, explicit self-evaluation, and extraversion. Moreover, valence ratings of independent raters were negatively correlated with social anxiety symptoms. On the other hand, valence ratings of the RC sample and independent raters were not correlated with depression symptoms, trait anxiety, or social desirability. The results imply that mental representations of self can be properly visualized by using the RC method.

Background As the COVID-19 (Coronavirus disease 2019) pandemic is prolonged, psychological responses to the pandemic have changed, and a new scale to reflect these changes needs to be developed. In this study, we attempt to develop and validate the COVID-19 Impact Scale (CIS) to measure the psychological stress responses of the COVID-19 pandemic, including emotional responses and difficulty with activities of daily living. Methods We recruited 2152 participants. Participants completed the CIS, the Fear of COVID-19 Scale (FCV-19S), and other mental health related measures. The factor structure, reliability, and validity of the CIS were analyzed. In addition, the validity of the scale was confirmed by its relationships to the existing measures assessing fear of COVID-19, depression, anxiety, subjective well-being, and suicidal ideation. Results Using exploratory factor analysis (N1 = 1076), we derived a one-factor structure. In confirmatory factor analysis (N2 = 1076), the one-factor model showed good to excellent fitness. The CIS was positively correlated with depression, anxiety, suicidal ideation, fear of COVID-19 and negatively correlated with subjective well-being. The FCV-19S did not show significant correlations with subjective well-being or suicidal ideation, and FCV-19S’s explanatory powers on depression and anxiety were lower than those of the CIS. Conclusions These results support that the CIS is a valid assessment of emotional problems and deterioration of the quality of life caused by the COVID-19 pandemic. Finally, the limitations of this study and future research directions are discussed.

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Although it is widely acknowledged that people can feel lonely when not socially isolated, to our knowledge, no study has examined whether loneliness would be differently associated with daily social relations for people who are not socially isolated. The present study examined the role of social isolation (i.e., small social network size) in moderating the association between loneliness and characteristics of daily social interactions—interaction type and qualitative characteristics—using the 7-day social interaction diary data of 118 individuals. The moderating effect of social isolation on self-informant agreement in loneliness ratings was additionally examined, using three informant ratings of loneliness. Greater loneliness was more related to less frequency of strong tie interactions for people who are less socially isolated, while loneliness was more associated with greater self-focus during interactions for more socially isolated people. In addition, for those who are less socially isolated, the self-informant agreement in loneliness ratings was lower, suggesting that their loneliness might be underrecognized, even by those close to them. These results indicate that the relationships between loneliness and such social variables may operate differently depending upon the personal level of social isolation. In particular, our findings underscore the significant role of frequent interactions with close ties in alleviating the loneliness of people who are not socially isolated, suggesting that human social needs cannot be satisfied merely by a large number of social contacts.