This paper presents the development and construct validation of an instrument for identification of resilient and less-resilient middle adolescents in high school. Purpose of this identification is a qualitative in-depth interview study of perceptions of resilient and less resilient middle-adolescents on their school environment. The qualitative study will function as examination of contentvalidity of the presented instrument. A 33-item Resilient Behavior Questionnaire (VVL) and a 105-item personality questionnaire NPV-J (Dutch Personality Questionnaire- Youngsters) were administered to a sample of 400 middle adolescent high school students (age range 14-16). It was hypothesized that scores on specific components in the VVL would correlate highly with relevant factors of personality in the NPV-J. Principal Component Analysis and Correlation Analysis served as methods of investigation. Results of the quantitative study reveal three components in the VVL and a high correlation between the scores on these components and the resilient personality factor perseverance and non-resilient factor inadequacy in the NPV-J. Discussion focuses on explanation of the results and implications for further development of the VVL.
Differences in the oscillatory EEG dynamics of reading open class (OC) and closed class (CC) words have previously been found (Bastiaansen et al., 2005) and are thought to reflect differences in lexical-semantic content between these word classes. In particu-lar, the theta-band (4-7 Hz) seems to play a prominent role in lexical-semantic retrieval. We tested whether this theta effect is robust in an older population of subjects. Additionally, we examined how the context of a word can modulate the oscillatory dynamics underly-ing retrieval for the two different classes of words. Older participants (mean age 55) read words presented in either syntactically correct sentences or in a scrambled order ("scram-bled sentence") while their EEG was recorded. We performed time-frequency analysis to examine how power varied based on the context or class of the word. We observed larger power decreases in the alpha (8-12 Hz) band between 200-700 ms for the OC compared to CC words, but this was true only for the scrambled sentence context. We did not observe differences in theta power between these conditions. Context exerted an effect on the alpha and low beta (13-18 Hz) bands between 0 and 700 ms. These results suggest that the previously observed word class effects on theta power changes in a younger participant sample do not seem to be a robust effect in this older population. Though this is an indi-rect comparison between studies, it may suggest the existence of aging effects on word retrieval dynamics for different populations. Additionally, the interaction between word class and context suggests that word retrieval mechanisms interact with sentence-level comprehension mechanisms in the alpha-band.
MULTIFILE
We live in a time of radical changes in Europe. The climate crisis, the war in Ukraine, energy crisis, the pandemic, increasedprice levels and interest rates, digitalization, robotization, reduced birth rates, an aging population, migration, a decliningdemocracy index and increasing friction level between continents and powerful states makes us uncertain about tomorrow.Deglobalization, shorter production lines, changed export models, bloc formations and sovereignty might be results of someof the large challenges we see today. We see tendencies towards increasing poverty and a declining middle class. It isperhaps more important than ever in recent times to show optimism on behalf of young people and future generations.European cooperation and the link between the right skills for the right future seems to be more actual and important thanever. A report from McKinsey Global Institute (2017) about future work life, competence development and digitalization,shows that approximately 50 % of todays jobs can disappear in the nearest future caused digitalization, robotization and AI.MGI’s in-dept report have covered more than 20 countries and 30 industries (mckinsey.com). We have also a commonEuropean challenge reagarding too many youth outside the working life. The NEET index (Not in Employment, Education orTraining) was 14 % totally for the EU countries, 9.6 % for Germany, 6.3 % for Netherlands and also 6.3 % for Norway in2021 (ssb.no).This is a challenge we have to solve as we need to increase the work participation as welfare costs willincrease as a consequence of more immigration and several older people.
