The measures at small community levels are improvements of the versions I used for the World Bank projects in Romania. This is the case of LHDI for communes and cities with data for 20. Some of them are in the form I used as in the works of the World Bank. Data files with indices of LHD at the levels of administrative ter ritorial units (communes and cities) and small communities (villages and component localities of the small towns) are for the first time diffused publicly. The project is intended to open for circulation and debate different measures of the local human development (LHD) in Romania. Multiple regression, many other relevant predictors. Significant predictors for social state of mind variables even after controlling, by The age-residence and macroregion factors continue to be WEST, NORTH) are more relevant for the sociocultural analysis than the pure
The resulted regions (EAST, CENTRAL-EAST, SOUTH, These macroregions are identified by powerful indicators That the age-residence social worlds are also highly differentiated by sociocultural Support not only the hypothesis of age-residence conditional matrix but also the idea Satisfaction, optimism, institutional trust and propensity to discuss politics. The worlds of age-residence categories are analyzed from the point of view of life In line with the idea of quantitative grounded theory (Glaser, 2008) and the data toĮxplore and test are from the Eurobarometer survey, the 70th wave from the fall ofĢ008. Macroregions of the EU? These are the basic questions of the study. The grounded theory (1993)? If so, what is the relevance of such worlds by sociocultural Of mind and social discourse of the population in the European Union at the current time?Īre there age-residence social worlds, according to Anselm Strausss definition from To what degree age and residence categories combined count for the state These contexts, and the importance of replication of factor analytic models in the ongoing pursuit Or questionnaires and previously developed tests, decisions about whether to use EFA or CFA in
Paper include the need to account for the categorical nature of item-level observed variables inįactor analyses, the use of factor analysis in studies of the psychometric properties of new tests Next, important considerations for the implementation of EFA and CFA discussed in this Paper uses a brief example to illustrate the difference between the statistical models underlyingĮFA and CFA, both of which are particular instantiations of the more general common factor Misunderstandings is the very mathematical distinction between EFA and CFA. Psychologists with respect to the implementation of EFA and CFA. Yet, partly owing to the complexity of these procedures, confusion persists among Implementation of both exploratory factor analysis (EFA) and confirmatory factor analysis There are many high-quality resources available which describe best practices in the The paper draws on both quantitative survey data and semistructured interviews. The third hypothesis, on the similarity between Romanian youth and the youth from countries of simultaneous emigration and immigration (Spain, Italy, and Ireland) is partially supported only in the case of Italy. The second hypothesis, about similarities between Romanian youth and youth from Latvia and Slovakia, is consistent with the findings. The first hypothesis, about the lifestyle motivations of Romanian students, is not supported by the data. The relationship between previous structures and the current migration motivations of Romanian youth are also addressed via a comparative European-level analysis. This is contextualised by factors related to the individual, community, region, and country, in a multilevel perspective. Dissatisfaction and opportunities in different spheres of life (job, education, family and friendship networks, and lifestyles) are the key variables explaining the dynamics within the nexus. A descriptive analysis introduces types of motivations for the first migration and for returning home. The originality of the paper lies in conceptualising the experiences and motivations of migration as a variable nexus during the migration process that is, as a complex web of relations between motivations and types of migration experiences. This paper presents and explains the migration motivations and behaviour of young (age 16–35 years) Romanians.
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