This article focuses on narrative sources for the town histories which are part of the Manuscript collection of the National Museum in Prague. It refers to Early Modern Times historiographic works coming from the following towns: České Budějovice, Horní Blatná, Cheb, Jáchymov, Klatovy, Plzeň, Prachatice, Sedlčany, Vysoké Mýto, and Trutnov.
This article focuses on narrative sources for the town histories which are part of the Manuscript collection of the National Museum in Prague. It refers to Early Modern Times historiographic works coming from the following towns: České Budějovice, Horní Blatná, Cheb, Jáchymov, Klatovy, Plzeň, Prachatice, Sedlčany, Vysoké Mýto, and Trutnov.
Based on ISSP 2012 Family and Health, this paper focuses on informal caregiving for elderly, sick or disabled family members in the Czech Republic. Specifically, it investigates the socio-demographic characteristics of family caregivers. The findings show that the carers are more likely to be female of a productive age; and thus they often have to combine childcare, care for other family member and employment. Findings from this study also demonstrate that in case of women partnership status also influences care involvement. However, socioeconomic status measured by education does not have an effect on the provision of informal care because the institutional context in which private formal care is not widespread.
The use of significance tests in social sciences is widespread mainly due to simple computation via statistical packages. Unfortunately the more social scientists use statistical significance estimates for making causal inferences the less they appear to understand about this influential concept. Statistical modelling results are usually presented in terms of their statistical significance and little other information is provided. The goal of this article is to show the limits of using statistical significance as a sole means of making inferences; and to present alternative statistical fit indicators readily available within frequentist approach to statistics: confidence intervals, minimum sample size and power analysis. Multiple working hypotheses are also explored together with two well known information criteria – AIC and BIC. This article provides practical information on how to undertake valid and reliable statistical analyses of social science data.