Hinweis
Dies ist nicht die aktuellste Version dieses Datensatzes. Die aktuellste Version finden Sie unter: https://data.uni-marburg.de/handle/dataumr/217.3
Reconciliation in Colombia – A Q-methodological Study
Zusammenfassung
This is the data from a q-methodological research project on reconciliation in Colombia, which was conducted from May 2021 until August 2022 and funded by the Deutsche Stiftung Friedensforschung (DSF). Data was collected from October until mid-December 2021 online via Q Method Software (https://qmethodsoftware.com) and analyzed with Ken-Q Analysis (https://shawnbanasick.github.io/ken-q-analysis/). Research participants were asked to share their perspectives on reconciliation in Colombia by ranking images on a distribution scale from -4 (least representative images for reconciliation) to +4 (most representative images for reconciliation). The resulting distributions of images are referred to as Q sorts and factor analysis is used to find groups of similar Q sorts, i.e. perspectives on reconciliation. Since the scope of publications is always limited, we seek to provide a higher level of transparency to our research providing our research data in this repository.
Metadaten
Datum | 2022-11-04 |
Einreichende Personen | Stahl,
Ilona
|
Beteiligte Personen | Betancourt Macuase,
Luisa Fusser, Myriell Oettler, Prof. Dr. Anika |
DOI | https://doi.org/10.17192/fdr-147
|
Lizenz | Creative Commons Attribution 4.0 |
Fachbereich | FB03:Gesellschaftsswissenschaft |
Sprache | Englisch |
Dokumententypen | Datensatz Text Audiovisuelle Daten |
Schlagwörter | Q methodology, Reconciliation, Subjectivity, Peace and Conflict Studies, Transitional Justice |
Förderung | Deutsche Stiftung Friedensforschung (DSF) |
URI | https://data.uni-marburg.de/handle/dataumr/217
|
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Dateien
Name | Format | Größe | Checksumme (MD5) |
---|---|---|---|
_readme.txt | .txt | 2.824Kb | adb24df89c90d8da94db28f7fca20235 |
Decision Tree (PCA & CFA 1-8).xlsx | .xlsx | 224.7Kb | 2316f218fc78377d1c97ed81fc2ec1dc |
ken-q-analysis Excel Type 2 import data.xlsx | .xlsx | 33.73Kb | 6ea5c3034bcc0b2118a6560c3b162c71 |
Raw Q Sort Data_Means, Variances, SDs & Distributions.csv | .csv | 2.857Kb | b0f56e552b30117c9e8bc06eee793de8 |
Datos Sociodemográficos.pdf | 447.5Kb | 0c3efa1e44d8e70aaaa0bcc1b62169ba | |
Imágenes seleccionadas, Selected images (Q sample).pdf | 74.93Kb | 0156e8df8fa2d5b3f542ef17e8719bf4 | |
Video con instrucciones.mp4 | .mp4 | 10.40Mb | 64a879b73d4ac402f2050b9613b32ba1 |
Decision Tree (PCA & CFA 1-8).csv | .csv | 101.6Kb | b6eec9bd870cc8b610abfb01818806a9 |
Cuestionario Sociodemográfico.pdf | 101.2Kb | 2ff38d75a59a55b4086108070b18e247 | |
KenQ_output_CFA5_Varimax_p0,05_coloured.xlsx | .xlsx | 677.9Kb | b42b0f06b8e24f36e672c0049bed9df3 |
license_CC-BY-4.0.txt | .txt | 18.21Kb | 380b31767eeb6303e3bc300d8846f180 |
Solange nicht anders angezeigt, wird die Lizenz wie folgt beschrieben: Creative Commons Attribution 4.0