Reconciliation in Colombia – A Q-methodological Study
Abstract
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.
Metadata
Date | 2022-11-04 |
Authors | Stahl,
Ilona![]() |
Contributors | Betancourt Macuase,
M.A. Luisa Fusser, M.A. Myriell Oettler, Prof. Dr. Anika |
Relationship | Is Cited By:
(URL)
https://www.instituto-capaz.org/un-estudio-q-sobre-la-reconciliacion-en-colombia-nuevo-documento-trabajo-capaz/
|
DOI | https://doi.org/10.17192/fdr-147.3
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License | Creative Commons Attribution 4.0 |
Faculty | FB03:Department of Social Sciences and Philosophy |
Language | English |
Data types | Dataset Text Audiovisual data |
Keywords | Q methodology, Reconciliation, Subjectivity, Peace and Conflict Studies, Transitional Justice |
Version | v_2023-05-07 |
Funding | Deutsche Stiftung Friedensforschung (DSF) |
URI | https://data.uni-marburg.de/handle/dataumr/217.3
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Files
Name | Format | Size | Checksum (MD5) |
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_readme_v2023-05-07.txt | .txt | 3.038Kb | 927d7b13226068f264cf83231546efb9 |
Decision Tree (PCA & CFA 1-8).xlsx | .xlsx | 224.7Kb | 2316f218fc78377d1c97ed81fc2ec1dc |
ken-q-analysis Excel Type 2 import data.xlsx | .xlsx | 33.73Kb | 6ea5c3034bcc0b2118a6560c3b162c71 |
Video con instrucciones.mp4 | .mp4 | 10.40Mb | 64a879b73d4ac402f2050b9613b32ba1 |
Cuestionario Sociodemográfico.pdf | 101.2Kb | 2ff38d75a59a55b4086108070b18e247 | |
KenQ_output_CFA5_Varimax_p0,05_coloured.xlsx | .xlsx | 677.9Kb | b42b0f06b8e24f36e672c0049bed9df3 |
Decision Tree (PCA & CFA 1-8).pdf | 503.4Kb | 6283a2bba49628d9c7af29955fa497fb | |
Datos Sociodemográficos_v2023-05-07.pdf | 450.9Kb | 29a32a72bb0a7e904031ab08b88638f5 | |
Imágenes seleccionadas, Selected images (Q sample)_v_2023-05-07.pdf | 102.4Kb | cbc633f1dd3ff128ee0aba026efd5a5d | |
Raw Q Sort Data_Means, Variances, SDs & Distributions_v2023-03-22.csv | .csv | 2.372Kb | 54a05e50fd3e33577323bdeab0c33153 |
license_CC-BY-4.0.txt | .txt | 18.21Kb | 380b31767eeb6303e3bc300d8846f180 |
Except where otherwise noted, this item's license is described as Creative Commons Attribution 4.0