Článek se zaměřuje na zhodnocení spokojenosti s bydlením a její vývoj v České republice v období po roce 2000. Cílem je identifikovat faktory ovlivňující rozdílnou úroveň spokojenosti s bydlením u jednotlivých skupin obyvatelstva, a přispět tak k lepšímu pochopení procesů na pozadí tohoto jevu. V komparativní perspektivě průřezových let 2001 a 2013 se autoři se věnují prezentaci hlavních zjištění vyplývajících ze dvou na sebe navazujících vln kvantitativního sociologického šetření. Článek čerpá z dat celonárodního sociologického šetření postojů k problematice bydlení, realizovaného v ČR ve dvou vlnách - Housing Attitudes 2001 a Housing Attitudes 2013. Analýza byla provedena ve dvou krocích. V prvním kroku byly pomocí pairwise correlation analysis identifikovány proměnné, které se významně váží k otázce o celkové spokojenosti respondentů s jejich stávajícím bydlením. Ve druhém kroku byla významnost těchto proměnných testována prostřednictvím multiple linear regression. Cílem bylo najít faktory, které nezávisle predikují respondentovu úroveň celkové spokojenosti s bydlením, a to i po očištění vlivu ostatních proměnných zařazených do regresního modelu., The article evaluates housing satisfaction and its development in the Czech Republic after 2000. Its goal is to help better understand the processes behind this phenomenon by identifying factors that influence how the level of housing satisfaction varies between population groups. In a comparative perspective on cross-sectional data from 2001 and 2013, the authors present the main findings of two waves of a quantitative sociological survey. The article draws on two comparable datasets stemming from a nationwide sociological survey of attitudes to housing issues implemented in the Czech Republic as „Housing Attitudes 2001“ and „Housing Attitudes 2013“. The analysis was conducted in two stages. In the first stage, pairwise correlation analysis was used to identify variables that are significantly associated with a measure of overall satisfaction with one’s current housing situation. In the second stage, multiple linear regression was used to test the significance of these variables. The goal was to find factors that independently predict the respondent’s overall housing satisfaction when controlling for other variables included in the regression model. Overall housing satisfaction among Czech citizens increased over the 2001-2013 time period. What remains is that the highest levels of satisfaction are exhibited by people in owner-occupied houses and the lowest by those living in rented flats (whether privately or from local authorities) in large-scale projects. In addition to tenure and type of dwelling, the key factors of overall satisfaction include perceived size of dwelling compared to number of cohabitants. Other factors include socioeconomic characteristics reflecting respondent´s status in the social structure - primarily household income and secondarily respondent´s economic status (unemployment). The category of people living in flats was examined separately. Whereas people living in large-panel system (LPS) buildings were less satisfied with their housing situation than those living in brick houses in 2001, the difference was no longer discernible in 2013. The increased attractiveness of LPS housing may be a result of remodelling and reconstruction over the time period of interest. There are also spatial differences in overall housing satisfaction. People from major cities are less satisfied with their housing situation than those living in smaller settlements. This variation is primarily caused by differences in the composition of the dwelling stock and overall characteristics of housing. A specific situation exists in the smallest municipalities with a population under 1000 where the lower levels of housing satisfaction are probably associated with lower access to and variety of local amenities. Finally, albeit overall housing satisfaction among Czechs grew on average over the time period studied, the social inequalities in overall housing satisfaction did not diminish. Especially people of lower social status and belonging to the „lower housing class“ are less satisfied than the rest of the population., Ladislav Kážmér, Irena Boumová., and Obsahuje bibliografii
Media Tenor tracked media coverage of political parties in periods of three months prior to elections to the Chamber of Deputies in 2006 and 2010. Czech Social Democratic Party enjoyed overwhelming media prevalence in a first analyzed period, Civic Democratic Party prevailed in 2010. Neither of instances resulted in a highest voting outcome for the most covered party. The research confirmed private news services to be keeping conservative approaches while (not) presenting new and not well-known political groups. They covered TOP 09 Party and Public Affairs Party (Věci veřejné) rather marginally in 2010. Researchers focused also on a coverage of chairmen of main parties and air-time enjoyed by politicians to quote own party or co-party members., Štěpán Sedláček, Pavel Herot., and Obsahuje seznam literatury
The paper analyses the fact that the Czech communist party (KSČM) can rely on substantial and stable (occasi- onally even rising) electoral support. The phenomenon has been discussed extensively in academic as well as social and political discourses. On the basis of available empirical data, sociological analyses and statistical information, the paper categorizes some basic socio-political conditions and predispositions which may help explain the fact that the political party once considered to be the anti-system heir of the non-democratic regime is now one of the most stable elements of Czech politics., Daniel Kunštát., and Obsahuje seznam literatury