• cartea, pe site-ul editurii
• evenimentul de la Gaudeamus
• despre autor
• despre carte
  

Data details:

• The WVS sample is partly panel with the 2012 survey
• Both samples are randomly drawn from the Romanian non-institutionalized population (i.e. are representative at national level). Almost identical methodologies were employed in both cases. They are fully documented in the files attached to this release.
• The questionnaires overlap in roughly 75% of the variables. We have also produced and posted here a pooled dataset, with the corresponding weighting system.
• This release also includes the country specific items. A good part of them document the migration experience of the respondent and of his/her friends and relatives, being a unique source of information in this respect.

Further releases:

• Both EVS and WVS data will be integrated in European/World corresponding data files. The two groups constantly release updates of the international datasets, and deposit data with GESIS, and with JSP/ASEP correspondingly.
• Several other surveys bring additional data which is comparable to our data:

o   We are currently collecting a shorter version of questionnaire, from a sample of Romanian migrants (websurvey).

o   A sample of about 650 high school students in Timiș and surrounding counties filled in other reduced versions of the questionnaires in May 2018, in a study conduced by our colleagues from the Sociology Department in West University of Timișoara.

o   Colleagues from BrandBerry Research collected data from a sample of 1000 respondents in the 10 major Romanian city (websurvey) related to gender beliefs and family values.

Datafiles in this release:

• the EVS Romanian 2018 data file. SPSS and Stata versions are provided
• the WVS Romanian 2018 data file, both in SPSS and Stata formats.
• the pooled EVS/WVS 2018 Romania data set. The names of variables are documented in a very concise codebook.
• the longitudinal WVS 2012/2018 datafile. The panel variable is called idlocatie.
• full methodological details for both datasets, as they were submitted to central teams of EVS and WVS.

Files: datasets

 A note on formats: SPSS and Stata are the main generalist software used in social sciences. Therefore our choice for property formats. In this way we also preserve variable and value labels. We have used .zsav instead of .sav for its much better compression. The Stata files use the Stata 13 (and higher) format. For reading into R, we suggest using the readstata13 package.

Files: metadata

*Core versions that do not include the country specific items.

We welcome your feedback, comments, and inquiries at: bogdan@iccv.ro.

Please keep in mind that this data is not destined for commercial/for profit purposes, but for academic research. Also, we can answer questions related to data, but we have no time and resources to assist with data-analyses and related activities.

When it comes to populism, one may have a lot of explanations, and most of them are rooted in the Western experience. What about how the populist landscape looks like in an Eastern European society, where populism seems embedded in the core of mainstream parties? Sorina Soare and our colleague Claudiu Tufiș bring to the readers an history of populism as displayed by political parties in the post-communist Romania. Their paper (party supported by our RemOSM grant) sheds light in a field almost unexplored, goes beyond the main parties, looks at newly established political competitors, and grasps in this way the dynamics of populist legitimacy in Romania. We strongly advise those interested to read the full paper, from which we have extracted the below table...