GESIS - DBK - ZA7499
 

ZA7499: Issue Competition Comparative Project (ICCP)

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List of Files

List of Files
 

Datasets

  • ZA7499_v2-0-0.dta.zip (Dataset) 953 KBytes
  • ZA7499_v2-0-0.sav.zip (Dataset) 2 MBytes

Questionnaires

  • ZA7499_q_de.pdf (Questionnaire) 2 MBytes
  • ZA7499_q_fr.pdf (Questionnaire) 2 MBytes
  • ZA7499_q_gb.pdf (Questionnaire) 947 KBytes
  • ZA7499_q_it.pdf (Questionnaire) 2 MBytes
  • ZA7499_q_nl.pdf (Questionnaire) 991 KBytes

Codebooks

  • ZA7499_cod_de.pdf (Codebook) 199 KBytes
  • ZA7499_cod_fr.pdf (Codebook) 246 KBytes
  • ZA7499_cod_gb.pdf (Codebook) 208 KBytes
  • ZA7499_cod_it.pdf (Codebook) 252 KBytes
  • ZA7499_cod_nl.pdf (Codebook) 250 KBytes
  • ZA7499_cod_twitter.pdf (Codebook) 96 KBytes

Other Documents

  • ZA7499_Introductory_Guide.pdf (Other Document) 121 KBytes
Availability Availability A - Data and documents are released for academic research and teaching.
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Bibliographic Citation

Citation Citation De Sio, Lorenzo; Emanuele, Vincenzo; Maggini, Nicola; Paparo, Aldo; Angelucci, Davide; D´Alimonte, Roberto (2019): Issue Competition Comparative Project (ICCP). GESIS Data Archive, Cologne. ZA7499 Data file Version 2.0.0, https://doi.org/10.4232/1.13374
Study No.ZA7499
TitleIssue Competition Comparative Project (ICCP)
Current Version2.0.0, 2019-10-1, https://doi.org/10.4232/1.13374
Date of Collection27.02.2017 - 12.02.2018
Principal Investigator/ Authoring Entity, Institution
  • De Sio, Lorenzo - LUISS University Rome
  • Emanuele, Vincenzo - LUISS University Rome
  • Maggini, Nicola - University of Florence
  • Paparo, Aldo - LUISS University Rome
  • Angelucci, Davide - LUISS University Rome
  • D´Alimonte, Roberto - LUISS University Rome

Content

AbstractThe Issue Competition Comparative Project (ICCP) is a comparative research project about party competition. The aim is to analyze party competition through an issue competition perspective, i.e. by conceptualizing political parties and leaders as rational, vote-maximizing political entrepreneurs that strategically exploit available issue opportunities in a context where voters are available across ideological boundaries. The first ICCP data collection round has covered six West European countries (Netherlands, France, United Kingdom, Germany, Austria, Italy) that held general elections in 2017 and 2018. The electoral campaign of political parties and party leaders was studied by monitoring, collecting, and analysing their activity on Twitter in the four month preceding the election date. For each party in the 6 ICCP countries, the monitoring activity was carried out on the public profile of the party and on the public profile of the main frontrunners/leaders of the party. 1. Survey Dataset Topics: interest in politics; vote intention; rating of current economic situation; expected economic situation in 12 months; propensity to vote different political parties; party identification; strength of party identification; party closeness to different parties; party that is credible for achieving different policy goals; respondent assigns a high, average or low priority to the policy goal; position to positional issues (self-placement on a 1-6 scale, with values 1-3 corresponding to one goal, and values 4-6 corresponding to the rival goal); shared policy goals (valence issues); left-right self-placement; approvement or disapprovement of the government’s record to date; candidate traits (knowledgeable about politics, strong, honest, and careful) were applicable. Demography: sex; age (year of birth, age class); church attendance; education; city size; profession; sector; self-assessment of social class; living standard. Additionally coded: respondent ID, weigthing factor. 2. Twitter Dataset Topics: study (country and year); abbreviation of party; Issue ID (within country); issue type (Positional or Valence); dimension (cultural or economic); Issue (short description); rival goal (on the issue) assigned to classical left-wing orientation; rival goal (on the issue) assigned to classical right-wing orientation; right-wing positional goal; systematic issue salience; absolute count of tweets the party dedicated to the issue; total number of issue-related party tweets; total number of party tweets dedicated to positional issues; total number of party tweets dedicated to valence issues; proportion of party tweets the party dedicated to the issue, over the total of issue-related tweets; orientation (left/right) of the goal with a higher issue yield for the party; party size in survey sample; whole sample and within party: goal support for positional issues; whole sample and within party: party credibility on goal; (credibility weighted) Issue Yield for goal; Issue Yield cross-party ranking.
Categories Categories
  • Political Issues
  • Political Attitudes and Behavior
  • Political Parties, Organizations
Topics
  • Political behaviour and attitudes
  • Government, political systems and organisations
  • Elections
Old Topics Old Topics
  • 11.5 Mass political behaviour, attitudes/opinion
  • 11.6 Government, political systems and organisation
  • 11.7 Elections

Methodology

Geographic Coverage
  • Austria (AT)
  • Germany (DE)
  • France (FR)
  • Italy (IT)
  • Netherlands (NL)
  • United Kingdom (GB)
UniversePersons aged 18 and over (Austria: 16 and over) currently residing in the respective country and belonging to an opt-in web panel partner of Opinione.net (Demetra). Tweets on the public profile of the party and the main frontrunners/leaders of the party in the respective country during the last four months of the election campaign.
Analysis Unit Analysis Unit
  • Individual
  • Text Unit
The project collects data for both voter preferences and party strategy, based on survey data (CAWI surveys) and the party campaign (collection and coding of official Twitter feeds of the party).
Sampling Procedure Sampling Procedure
  • Non-probability: Quota
  • Total universe/Complete enumeration
Survey data were collected by a quota sampling procedure. Social media data comprise monitoring of the public profile of the party and on the public profile of the main frontrunners/leaders of the party during the last four months of the election campaign.
Mode of Collection Mode of Collection
  • Self-administered questionnaire: Web-based (CAWI)
  • Content coding
Time Method Time Method
  • Cross-section
Kind of Data Kind of Data
  • Numeric
Data CollectorDemetra Opinioni.net Srl, Venice, Italy
Date of Collection
  • 08.09.2017 - 11.10.2017 (Austria)
  • 28.08.2017 - 12.09.2017 (Germany)
  • 21.03.2017 - 11.04.2017 (France)
  • 06.02.2018 - 12.02.2018 (Italy)
  • 27.02.2017 - 10.03.2017 (Netherlands)
  • 12.05.2017 - 31.05.2017 (United Kingdom)

Errata & Versions

VersionDate, Name, DOI
2.0.0 (current version)2019-10-1 Release 2.0.0 https://doi.org/10.4232/1.13374
1.0.02019-8-1 first archive edition https://doi.org/10.4232/1.13328
Errata in current version
none
Version changes

Further Remarks

Links
Number of Units: de: 1001 fr: 1207 gb: 1000 it: 1000 nl: 2001 twitter: 1206
Number of Variables: de: 342 fr: 469 gb: 382 it: 456 nl: 484 twitter: 25
Analysis System(s): SPSS, Stata

Publications

Publications
  • De Sio, Lorenzo; De Angelis, Andrea; Emanuele, Vincenzo (2017): Issue yield and party strategy in multi-party competition. Comparative Political Studies, Available online https://doi.org/10.1177/0010414017730082
  • CISE - Italian Center for Electoral Studies: The year of challengers? Issues, public opinion, and elections in Western Europe in 2017 Edited by: De Sio, Lorenzo and Paparo, Aldo. https://cise.luiss.it/cise/2018/02/20/the-year-of-challengers-the-cise-e-book-on-issues-public-opinion-and-elections-in-2017/
Relevant full texts
from SSOAR (automatically assigned)