Tactics for improving validity and reliability
| Criterion | Tactics applied in the study |
|---|---|
| Objectivity/confirmability | Aiming at higher clarity in the research design and case selection |
| Explicit data collection process | |
| Construct and internal validity | Data triangulation: Data collection by two researchers, data from secondary sources (webpages, press releases and webinars) |
| Use of a framework in the coding and data analysis processes | |
| Context-rich data collection | |
| External validity | The case companies from different sectors (non-profit, public and private) |
| Purposeful sampling with intensity sampling logic capturing NPOs and companies with existing relationships | |
| Clear description of the study context of reverse textile supply chains and valorization of post-use textile | |
| Reliability | Shared interview guide for the researchers and use of two researchers in the interviews, coding and data analyses |
| Recording and transcription of interviews using the NVivo software |
| Criterion | Tactics applied in the study |
|---|---|
| Objectivity/confirmability | Aiming at higher clarity in the research design and case selection |
| Explicit data collection process | |
| Construct and internal validity | Data triangulation: Data collection by two researchers, data from secondary sources (webpages, press releases and webinars) |
| Use of a framework in the coding and data analysis processes | |
| Context-rich data collection | |
| External validity | The case companies from different sectors (non-profit, public and private) |
| Purposeful sampling with intensity sampling logic capturing NPOs and companies with existing relationships | |
| Clear description of the study context of reverse textile supply chains and valorization of post-use textile | |
| Reliability | Shared interview guide for the researchers and use of two researchers in the interviews, coding and data analyses |
| Recording and transcription of interviews using the NVivo software |
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