This study examines the relationship between language use and psychological characteristics of the communicator. The aim of the study was to find models predicting the depressivity of the writer based on the computational linguistic markers of his/her written text. Respondents’ linguistic fingerprints were traced in four texts of different genres. Depressivity was measured using the Depression, Anxiety and Stress Scale (DASS-21). The research sample (N = 172, 83 men, 89 women) was created by quota sampling an adult Czech population. Morphological variables of the texts showing differences (M-W test) between the non-depressive and depressive groups were incorporated into predictive models. Results: Across all participants, the data best fit predictive models of depressivity using morphological characteristics from the informal text “letter from holidays” (Nagelkerke r² = 0.526 for men and 0.670 for women). For men, models for the formal texts “cover letter” and “complaint” showed moderate fit with the data (r² = 0.479 and 0.435). The constructed models show weak to substantial recall (0.235 – 0.800) and moderate to substantial precision (0.571 – 0.889). Morphological variables appearing in the final models vary. There are no key morphological characteristics suitable for all models or for all genres. The resulting models’ properties demonstrate that they should be suitable for screening individuals at risk of depression and the most suitable genre is informal text (“letter from holidays”).

The article deals with the issue of experimental use of mood induction procedures (MIPs), in particular the induction of anger, fear and sadness. Three techniques were utilized during the research on the sample of 41 university students using the “blind” experimental setting. The setting includes presentation of emotional stimuli for sadness induction (emotional film clips), manipulative strategy for anger induction (interaction with human confederate) and real-life situation for induction of fear (examination situation). The paper also briefly presents the research EH (Emotionality in Handwriting, the Institute of Psychology of Faculty of Arts of Masaryk University in Brno, 2010) which is a follow-up to a study focused on the effects of a given emotional state on formal parameters of handwriting (on metric characteristics of handwriting). Apart from general commentary on induction methods, the design of the EH experiment is described, including description of each mood induction procedure method, course of the experimental setting and summary of results obtained from participants by self-description scales. The research results are also significant in that the emotional changes studied may provide vital information on behavioural and personality characteristics. This subject has been for a long time more or less neglected by current research tendencies. The article also provides a commentary on possibilities of development of the method within psychological disciplines

The paper discusses the role of language and culture in the context of quantitative text analysis in psychological research. It reviews current automatic text analysis methods and approaches from the perspective of the unique challenges that can arise when going beyond the default English language. Special attention is paid to closed-vocabulary approaches and related methods (and Linguistic Inquiry and Word Count in particular), both from the perspective of cross-cultural research where the analytic process inherently consists of comparing phenomena across cultures and languages and the perspective of generalizability beyond the language and the cultural focus of the original investigation. We highlight the need for a more universal and flexible theoretical and methodological grounding of current research, which includes the linguistic, cultural, and situational specifics of communication, and we provide suggestions for procedures that can be implemented in future studies and facilitate psychological text analysis across languages and cultures.

This paper addresses the need for a more comprehensive framework of excellence in higher education, which goes beyond academic achievement alone, placing emphasis on its integration with personal characteristics, and acknowledging the diversity in the student population. Two research studies were conducted to establish this comprehensive framework. The pilot study aimed to offer a conceptual definition of the excellent university student according to the perceptions of the academic community. The study, which involved 26 teachers and 159 students, was informed by teacher interviews, student essays, and focus group discussions. The established conceptual framework of excellence was based on a subset of essential attributes that could be embodied by a real student. The conceptual framework comprises facets of expertness, proactive learning, and being a good person organised within the dimensions of educational and personal excellence. It is complemented by academic achievement and underpinned by genuine study motivation. Building upon the findings of the pilot study, the main study aimed to develop and implement a systematic procedure for identifying excellent students. The study, which involved 53 teachers and 112 students, was based on a multisource assessment of multiple contextually relevant criteria of excellence. The identification procedure involved three phases: teacher nomination and assessment, academic achievement assessment, and peer assessment. As a result, 10 excellent students were identified who met all the conceptual criteria of excellence. In conclusion, this paper presents a comprehensive conceptual and methodological framework for defining and identifying excellent university students, grounded in both theoretical principles and empirical findings.

The article presents research evidence on psychological impacts of the COVID-19 pandemic on the economically active Czech population aged 18–64 (n = 1603; 365 men and 1238 women) within a one year perspective. The aim is to describe the differences in the reported mental health indicators (anxiety, depression, and distress) for women and men in the four age groups, two groups with different working statuses (continuation of work/interrupted working status), and between two phases of the epidemic (March to May 2020 and September 2020 to February 2021). The results point to elevated scores of negative mental health indicators (anxiety, depression, and distress) in different subgroups. More negative experiences in a pandemic situation were found, especially in groups of women, people under the age of 35, and among people with interrupted working status. The results also indicate a deterioration of symptoms over time during the epidemic.