Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.14123/1726
Full metadata record
| Field | Value |
|---|---|
| Original Title | Q-sorts and relative weighting exercise 2024 |
| Handle | 20.500.14123/1726 |
| Kinds of Data | Interview Data Visualisations |
| Resource Type | Dataset Image |
| Creator | Frietsch, Marina  0000-0001-5992-314X (Social-ecological Systems Institute (SESI), Leuphana Universität Lüneburg  02w2y2t16) |
| Description of the Dataset | The data collection encompassed two components: the researchers (1) used a quantitative ranking exercise to elicit perspectives and opinions of stakeholders on what makes restoration successful (Q-sorts), and (2) subsequently carried out a relative weighting exercise to explore the reality of restoration practice in the study area. Participants were surveyed individually and, depending on their availability, participated in both components or in component (1) only. To analyse the resulting data, the researchers performed a multivariate analysis of Q-sorts using principal component analyses with the "qmethod" package in R software for component (1). For component (2), they used Spearman rank correlation and boxplots. |
| Methods | Other Further information: Q-Methodology |
| Keywords | Sozial-ökonomisches System; Ruanda; Ökosystem; Restaurierung; Nachhaltigkeit; Social-economic System; Rwanda; Ecosystem; Restoration; Sustainability |
| Thematic Classification | Nachhaltige Entwicklung |
| Language of the Resource | English |
| Geolocation | Country: Rwanda Region/Location: Western, northern and central Provinces |
| Time Period of the Creation of the Dataset | 2023-01-20 - 2023-07-01 |
| Time Period of the Collection of the Data | 2023-01-20 - 2023-02-25 |
| Date of Availability | 2025-01-20T08:29:23Z |
| Date of issue | 2025-01-20 |
| Archiving Facility | Medien- und Informationszentrum (Leuphana Universität Lüneburg 02w2y2t16) |
| Published by | Medien- und Informationszentrum, Leuphana Universität Lüneburg |
Related Resources
Superordinate Data Collection: Data PhD Frietsch
| Field | Value |
|---|---|
| Academic Discipline | Sustainability Science |
| Participating Researchers | Frietsch, Marina 0000-0001-5992-314X (Social-ecological Systems Institute (SESI), Leuphana Universität Lüneburg 02w2y2t16) |
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