Premoćni u (ne)moćnima: analiza disperzije moći prema različitim grupama mladih

IN CROATIAN: Empirijska istraživanja mladih u Hrvatskoj provode se od sredine 20. stoljeća te se od tada u brojnim publikacijama navodi da su mladi marginalna društvena skupina s obzirom na količinu društvene, ekonomske i političke moći. Zajednički nazivnik svih navedenih istraživanja jest zaključak da društveni i politički sustav hrvatskog društva ne stvara poticajno okruženje za kvalitetan razvoj mladih, to jest da postoje strukturne prepreke za ostvarenje osobnog, društvenog i političkog potencijala te dobne kohorte. Gotovo je aksiomatska tvrdnja sociologije mladih da su mladi heterogena društvena skupina koja se razlikuje ne samo po svojim demografskim već im socijalnim karakteristikama. No ako je tomu tako, potrebno je vidjeti koje društvene skupine mladih imaju više ili manje moći, u cilju minucioznijeg uvida u socio-politički portret hrvatske omladine. Međutim, predmetna istraživanja ne analiziraju u dovoljnoj mjeri razlike između skupina mladih s obzirom na percepciju vlastitog utjecaja. Temeljni je cilj ovog rada dekonstruirati mlade kao monolitnu društvenu skupinu te ih pokušati kategorizirati u relevantne socijalne kategorije. Za potrebe istraživanja odabrane su različite varijable radi utvrđivanja razlika između grupa s obzirom na zavisnu varijablu percepcije moći vlastite grupe koju su mladi iskazali u upitniku provedenom 2018. godine. Uzorak mladih obuhvatio je 1500 ispitanika u dobi od 14 do 29 godina iz Hrvatske. Korištenjem linearne regresije utvrđeno je koje varijable imaju statističku povezanost s percepcijom moći vlastite grupe: rizična ponašanja, alternativna politička participacija, povjerenje u političku sferu, zainteresiranost za politiku i autoritarnost. Uz to, u regresijsku analizu uvrštene su i sociodemografske varijable koje se nisu pokazale kao povezane, uz iznimku spola. Uz linearnu regresiju, korišteni su t-testovi i ANOVA-e u cilju uvida u razlike u grupama na statistički povezanim varijablama. --------------- IN ENGLISH: Empirical research of young people in Croatia has been conducted since the mid 20th century, and since then many publications stated that young people are a marginal social group considering the amount of social, economic and political power. The common denominator of all of the above-mentioned research is that the social and political system of Croatian society does not create an enabling environment for the quality development of young people, that is, that there are structural obstacles to the realization of the personal, social and political potential of this age cohort. It is almost an axiomatic claim of sociology of youth that young people are a heterogeneous social group that differs not only by their demographic but also by their social characteristics. However, if so, it is necessary to see which social groups of young people have more or less power in order to gain a more detailed insight into the socio-political portrait of the Croatian youth. However, what existing research does not sufficiently analyse are the differences between groups of young people in view of their perception of their own impact. The main objective of this paper is to deconstruct young people as a monolithic social group and to try to categorise them into relevant social categories. Various variables were selected for research purposes with the aim of determining the differences between groups in relation to the dependent variable that measured perception of power of their own group, which young people expressed in the 2018 questionnaire. The sample included 1,500 respondents aged 14 to 29 from Croatia. By using linear regression, it has been established which variables have shown to be statistically connected: risky behaviours, alternative political participation, trust in the political sphere, interest in politics and authoritarianism. In addition, the regression analysis includes socio-demographic variables, which have not been shown to be connected, with the exception of gender. In addition to the linear regression, t-tests and ANOVA were used to establish differences in groups on statistically related variables