This paper reports two studies that explore complementary aspects of personality coherence. Study 1 addressed cross-situational coherence in contextualized psychological response. Idiographically-tailored methods assessed individuals’ (i) beliefs about their personal attributes, (ii) subjective “mappings” of these attributes to everyday circumstances, and (iii) self-reported contextualized action tendencies. A novel index of idiographic–nomothetic relations gauged the degree to which the idiographic methods yield unique information. Participants’ mappings commonly deviated from the structure of nomothetic trait categories; people often grouped together contextualized action tendencies traditionally associated with different trait categories. The idiographic mappings predicted cross-situational coherence in action tendencies. Study 2 asked whether the contextualization of personal qualities would be evident when people merely are asked to describe their personal attributes in natural language. Participants wrote narratives describing positive and negative qualities. Narratives were coded for the presence of three linguistic features: conditional statements, probabilistic statements, and personality trait inconsistencies. All three occurred frequently. Furthermore, they co-occurred; among participants who described trait-inconsistent attributes, the large majority spontaneously cited conditions in which these attributes are manifested. People who recognize that they possess inconsistent personal qualities may nonetheless attain a coherent understanding of themselves by spontaneously developing a contextually-embedded sense of self.

In this manuscript, we perform a Chi-square association test to find whether there is an association between the quarrelsome environment in the residence and mental health challenge and the corresponding p-value found to be 0.011, which is statistically significant. In addition, we fit a logistic model to determine the factors influencing mental health challenges during the pandemic. The model shows that age, number of leaving home during the past 14 days, the effectiveness of work from home or online class, and feeling in response to COVID-19 are the significant factors affect the odds that a participant faces mental health challenges.

As the COVID-19 pandemic is spreading and becoming more contagious, people tend to stay home and face mental health challenges such as anxiety, fear, nervousness, and loneliness. In this time, students are using the internet heavily for their study purpose, and jobholders are for their official works. At the same time, the use of the internet might be a relief from those mental challenges. This manuscript assesses a correlation between daily internet usage before and during COVID-19 and found to be nearly strong positive (r=0.66). Then we determine the potential factors affecting daily internet usage during COVID-19 among Bangladeshi students and jobholders who are currently living in Dhaka city by the ordinary least square (OLS) regression method. Our results underpin that the type of internet, regular internet usage before COVID-19, and the effect of internet usage on the study are significantly affecting current internet usage.