Techniky využívající vizuálních stimulů jsou v sociálněvědním výzkumu přítomny od konce 19. století. Jejich metodologické ukotvení, zejména pak v kvantitativně orientovaných studiích, však není příliš pevné. V této přehledové stati se proto zaměřuji na metodologické aspekty jednotlivých skupin vizuálních technik a následně formuluji doporučení pro design studií, které se takový typ výzkumu rozhodnou použít. V textu se po stručném historickém úvodu postupně věnuji psychologickým projektivním metodám, využití vizuálních materiálů v hloubkových rozhovorech a kvantitativních dotazníkových šetřeních. V diskusi pak shrnuji metodologická specifika tohoto typu technik, doporučení pro design instrumentu a problémy validity., Techniques using visual stimuli have existed in social research since the late 19th century. However, the methodological framework in which they are embedded remains limited in scope, especially with respect to quantitative research. In this article, the author focuses on the methodological aspects of various types of visual techniques. Subsequently, he proposes some recommendations for methodological design. After a brief historical review, the main part of the article discusses psychological projective methods, photo-elicitation techniques and the application of visual stimuli in in-depth interviewing and quantitative questionnaire surveys. Final discussion focuses on the methodological specifics of visual methods, design recommendations and the problem of validity., Martin Buchtík., and Seznam literatury
The present article aims to resume the present-day state of knowledge and the possibilities for future research of the problem of widows and widowhood in the village society of the Early Modern Era and the first half of the nineteenth century. The text focuses especially in sketching the fields of interest that arise out of the study of widowhood in connection with the discourse of the times, the legislation and the demographic development., Markéta Skořepová., and Obsahuje bibliografii
In this article it is argued that one of the main problems in data analysis is an over-emphasis on statistical rather than substantive significance. Statistical significance reports the improbability of specific outcomes from sample data using a null hypothesis. In contrast, substantive significance is concerned with the real-world meaning of data modelling results for a population, regardless of p value, where an effect size estimator is used for evaluation. The argument presented in this article begins with a consideration of how substantive significance may be defined. Thereafter, there is a summary of the literature on substantive significance and its measurement using a variety of effect size estimators, many of which are little known to researchers. This article also examines the topics of economic and clinical significance. In the conclusion, this study discusses attempts to synthesise different concepts of substantive significance and recommends some practical usage of these concepts., Petr Soukup., and Obsahuje bibliografii
The goal of this article is to inform social scientists, especially those of a quantitative orientation, about the basic characteristics of Big Data and to present the opportunities and limitations of using such data in social research. The paper informs about three basic types of Big Data as they are distinguished in contemporary methodological literature, namely administrative data, transaction data and social network data, and exemplifies how they can be utilized by quantitative social research. According to many, questionnaire-based sample survey as the dominant method of quantitative social research has found itself in a crisis, especially as response rates have decreased in most developed countries and public confidence in opinion polling has declined. The author presents the characteristics and specifics of Big Data compared to survey research - a method whose primary distinguishing characteristic is the capacity to quantify individual behaviour, social action and attitudes at the level of populations. In this context, the article draws attention to the differences between Big Data and survey data typically presented in scholarly literature, namely that datasets are not representative of known populations, the values of observed variables are systematically biased, there is a limited number of variables in Big Data sets, there is uncertainty about the meaning of observed values, and social environment has direct influence on the behaviours captured by Big Data. Attention is also paid to such characteristics of Big Data that pose an obstacle to smooth integration of this type of data in the social scientific mainstream. First, the collection, processing and analysis of Big Data is extremely demanding in terms of programming skills, something social scientists typically do not have. Second, the availability of Big Data is limited as they are normally possessed by private corporations, some of which (Facebook, Google) have undoubtedly come to form data oligopolies - and their management is mostly unwilling to share their data with traditional academics. Based on the above-mentioned specifics, differences and limitations, it is argued that Big Data currently do not have the potential of becoming a full-fledged source of social science data and replacing sample surveys as the dominant research method. Finally, the article draws attention to the specifics of different types of Big Data as they are primarily generated for purposes other than social research and result from specific situations framed by existing social relations - and it is from this perspective that Big Data should be viewed by social researchers., Johana Chylíková., and Obsahuje bibliografické odkazy
Stať převážně empirického charakteru čerpá z archivních dat, ze zdrojů Centra pro výzkum veřejného mínění a z první fáze realizace projektu Grantové agentury ČR s názvem „Sociologický výzkum historického vědomí obyvatel České republiky”. Teoretická část textu vychází z konceptu kolektivní paměti, zejména z myšlenky selektivity a proměnlivosti obsahů uložených v paměti. Článek dále prezentuje kvantitativní data týkající se veřejného mínění o české historii a kvalitativní zjištění výzkumu o historickém vědomí získaná prostřednictvím metody focus groups., The article of a mostly empirical character is drawn from archive data, from the sources of the Centre for Public Opinion Research, and from the first phase of the undertaking of a project of the Grant Agency of the Czech Republic entit - led „The Sociological Research of the Historical Consciousness of Inhabitants of the Czech Republic“. The theoretical part of the text is based on the concept of collective memory, especially on the idea of the selectivity and changeability of contents saved in the memory. This article also presents quantitative data concerning the perspective held by public opinion on Czech history, and qualitative perspectives on historical consciousness attained through the use of focus groups., and Jiří Šubrt, Štěpánka Pfeiferová.
The article compares the level of dependence of four justice ideologies on the structural position of an individual and his/her personal traits. First, the theoretical concept of distributive justice is introduced within the framework of GridGroup Theory. Second, Czech public opinion of justice is analysed with data from the ISJP 2006 survey. Egalitarianism is the most structurally embedded ideology that is infl uenced by all socio-demographic attributes. Nevertheless, psychological factors affect the other ideologies to some extent. Ascriptivism is more characteristic of extroversion, agreeableness, and conscientiousness; individualism of openness to experience; fatalism of closeness to experience. Against structural effects, the psychological dimension does not yield considerable improvement in the explanation of justice ideologies., Jiří Šafr, Ivo Bayer., and Seznam literatury
As the probability to marry is stratified and differs for people with certain characteristics, it can be expected that some marriages are more likely to end in divorce than others. Among others in the literature the divorce risk factors are often mentioned: too low or too high age, marriage, educational level (low or high education) or educational or age heterogamy. This article describes the effects of age and education of both spouses and their combinations (heterogamy or homogamy) on the stability of marriage in the Czech Republic between 1994 and 2007. Analysis (using event history analysis) is based on data from the Czech Statistical Office and examines those individuals who entered into marriage in 1994. Although, the effect of age at marriage itself is found to be weak, the interaction between age at marriage for men and women exhibits more significant effects. The relationship between education and divorce risk takes the form of an inverted U: people with basic education and people with higher education have the lowest risk of divorce. The assumption of greater stability among homogamous couples is not observed; however, the probability of divorce is higher among heterogamous marriages where the woman is older or has higher education than man., Petr Pakosta., and Obsahuje bibliografii