2.2 Analysis approach
The analysis approach employed in this project involved a comprehensive examination of the data collected through the questionnaire distributed to various stakeholders across the different Urban Living Labs (ULLs). The Alchemer tool, with its advanced features, facilitated a detailed analysis of the responses both horizontally and vertically.
Horizontal Analysis: The horizontal analysis allowed for a comparative examination of the responses across different ULLs. This approach enabled the identification of common themes, trends, and patterns that emerged across the various locations. By analyzing the data horizontally, it was possible to:
Identify Consistencies and Variations: The analysis revealed consistencies in the responses across different ULLs, indicating shared challenges and opportunities. Conversely, variations in the responses highlighted unique issues specific to individual ULLs.
Compare Responses: The horizontal analysis facilitated a comparison of the responses from different ULLs, enabling the identification of best practices and areas for improvement.
Understand Contextual Differences: The analysis took into account the contextual differences between ULLs, such as geographical location, cultural background, and local policies, which influenced the responses.
Vertical Analysis: The vertical analysis involved a deeper examination of the responses from each ULL, allowing for a more nuanced understanding of the specific challenges and opportunities faced by each location. This approach enabled:
In-Depth Understanding: The vertical analysis provided a detailed understanding of the responses from each ULL, highlighting the specific needs, concerns, and aspirations of each location.
Identification of Key Themes: The analysis identified key themes and patterns that emerged within each ULL, which were crucial for developing targeted strategies and interventions.
Contextualization: The vertical analysis contextualized the responses within the specific ULL, taking into account local factors, such as political, social, and economic conditions.
Alchemer Tool Capabilities: The Alchemer tool played a critical role in facilitating both horizontal and vertical analyses. Its advanced features allowed for:
Data Segmentation: The tool enabled the segmentation of data by ULL, allowing for a focused analysis of each location.
Customizable Reporting: Alchemer's reporting capabilities allowed for the creation of customized reports that catered to the specific needs of each ULL.
Data Visualization: The tool's data visualization features facilitated the presentation of complex data in a clear and concise manner, making it easier to identify trends and patterns.
By leveraging the Alchemer tool's capabilities, the analysis approach employed in this project provided a comprehensive understanding of the responses from the questionnaire, both horizontally and vertically. This approach enabled the identification of common themes and patterns across ULLs, as well as a nuanced understanding of the specific challenges and opportunities faced by each location