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Start Over Rights http://creativecommons.org/licenses/by-nc-sa/4.0/ Subject 316.4/.7

12. Social networks and surviving the holocaust

Creator:
Bělín, Matěj, Jelínek, Tomáš, Jurajda, Štěpán, Jeong, Byeongju, Univerzita Karlova. Centrum pro ekonomický výzkum a doktorské studium, and Národohospodářský ústav (Akademie věd ČR)
Publisher:
CERGE-EI
Format:
electronic, electronic resource, remote, bez média, online zdroj, and 56 stran : tabulky.
Type:
model:monograph and TEXT
Subject:
Sociální interakce. Sociální komunikace, sociální sítě, holocaust (1939-1945), přežití, social networks, survival, 316.472.4, 323.12"1939/1945", 614.87, (0.034.2:08), (048.8), 18, and 316.4/.7
Language:
English and Czech
Description:
Matěj Bělín, Tomáš Jelínek, Štěpán Jurajda., Obsahuje bibliografii a bibliografické odkazy, České a anglické resumé, and born digital
Rights:
http://creativecommons.org/licenses/by-nc-sa/4.0/ and policy:public

13. Social preferences, public good provision, social capital and positional concerns: empirical evidence from the South Caucasus

Creator:
Antinyan, Armenak, Baghdasaryan, Vardan, and Grigoryan, Aleksandr
Publisher:
CERGE-EI
Format:
electronic, bez média, svazek, and 50 stran : tabulky.
Type:
model:monograph and TEXT
Subject:
Sociální interakce. Sociální komunikace, společenské postavení, sociální hodnoty, sociální kapitál, social status, social values, social capital (sociology), Zakavkazsko, Arménie, Ázerbájdžán, Gruzie, Transcaucasia, Armenia, Azerbaijan, Georgia (Republic), 316.662, 316.752, 316.47, (479.2), (479.25), (479.24), (479.22), (048.8), 18, and 316.4/.7
Language:
English and Czech
Description:
Armenak Antinyan, Vardan Baghdasaryan, Aleksandr Grigoryan., Částečně tištěno napříč, Obsahuje bibliografii a bibliografické odkazy, and České a anglické resumé
Rights:
http://creativecommons.org/licenses/by-nc-sa/4.0/ and policy:public

14. Study abroad experience and attitudes towards other nationalities

Creator:
Cahlíková, Jana
Publisher:
CERGE-EI
Format:
electronic, bez média, svazek, and 47 stran : ilustrace, mapy.
Type:
model:monograph and TEXT
Subject:
Sociální interakce. Sociální komunikace, zahraniční studium, výměna studentů, národní identita, regionální identita, sociologický výzkum, foreign study, student exchange programs, national identity, regional identity, sociological research, 37.018.556, 37.014.242, 316.347, 316.72:323.174, 316:303, (048.8), 18, and 316.4/.7
Language:
English and Czech
Description:
Jana Cahlíková., Obsahuje bibliografii a bibliografické odkazy, and České resumé
Rights:
http://creativecommons.org/licenses/by-nc-sa/4.0/ and policy:public

15. The effect of time in a multi-dimensional marriage market model

Creator:
Vozár, Mário, Kejak, Michal, Univerzita Karlova. Centrum pro ekonomický výzkum a doktorské studium, and Národohospodářský ústav (Akademie věd ČR)
Publisher:
CERGE-EI
Format:
electronic and 32 s.
Type:
model:monograph and TEXT
Subject:
Sociální interakce. Sociální komunikace, partnerské vztahy, stárnutí, rozvod, matematické modelování, 316.472.42, 612.67, 364.642, 519.673, (048.8), 18, and 316.4/.7
Language:
English
Description:
Mário Vozár., Evropský sociální fond Praha & EU: Investujeme do vaší budoucnosti, and born digital
Rights:
http://creativecommons.org/licenses/by-nc-sa/4.0/ and policy:public

16. Tři generace metod měření korupce v Evropě

Creator:
Bašná, Kristýna
Format:
print, bez média, and svazek
Type:
model:article and TEXT
Subject:
korupce, kvantitativní metody, corrupt practices, quantitative research, surveys, 18, and 316.4/.7
Language:
Czech
Description:
This article focuses on methods for measuring corruption, first describing three generations of corruption indicators and then comparing them qualitatively and quantitatively. Corruption is a clandestine activity that is extremely difficult to measure; there are no official statistics on the number of corruption cases. For this reason, corruption can only be measured indirectly, by various proxies, and it is extremely hard to state whether these indicators are reliable and indeed measure the corruption phenomena in a given country. A large number of different indicators have been developed over the years that try to capture and quantify corruption. Some authors measure perceptions of corruption, others try to use “hard data” to explore the level of corruption in a country, and even others combine different measurements, weight them, and then publish composite indicators to capture the overall level of corruption in a country. This article aims to evaluate the quality of the different indicators using quantitative and qualitative methods. Possible uses and value of each individual indicator are discussed in terms of quality and practical considerations. First-generation indicators combine expert evaluations, surveys, and other data on corruption. The article focuses on the two best-known and most frequently used indicators - the Control of Corruption measurement by the World Bank and the Corruption Perception Index by Transparency International. Second-generation indicators are based on opinion surveys that ask respondents about their perceptions of and own experience with corruption. There are two types of such surveys, one focusing on the public and the other one on businesses. The second-generation indicators include surveys such as Eurobarometer, World Values Survey (WVS), European Social Survey (ESS), Global Corruption Barometer (GCB), WB BEEPS, or International Social Survey Programme (ISSP). Finally, the author presents a correlation analysis of different indicators over time and across countries, indicating whether and how strongly these three generations correlate with one another. The article concludes with a discussion on whether the three generations of indicators measure the same type of corruption and whether they can be used interchangeably. As for results, it seems that there are statistically significant associations between different types of indicators; however, this significance is, in most cases, not high enough to allow for interchangeability. Therefore, it is of utmost importance to carefully select the type of indicator used for scientific research, as results and conclusions might differ significantly depending on the indicator used., Kristýna Bašná., and Obsahuje bibliografické odkazy
Rights:
http://creativecommons.org/licenses/by-nc-sa/4.0/ and policy:public

17. Velká data jako alternativa výběrových šetření v kvantitativním sociálněvědním výzkumu

Creator:
Johana Chylíková
Format:
print, bez média, and svazek
Type:
model:article and TEXT
Subject:
big data, kvalita dat, metodologie, data quality, methodology, survey, epistemology, 18, and 316.4/.7
Language:
Czech
Description:
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
Rights:
http://creativecommons.org/licenses/by-nc-sa/4.0/ and policy:public