Reviving rivers, empowering communities: Assessing the impact of rejuvenation efforts in Bodh Gaya villages

<h2>Methodology</h2>

<h3>Data Collection Methods:</h3>
<p>We followed a mixed-methods approach combining qualitative thematic analysis and quantitative multivariate regression to comprehensively explore the anticipated impacts of river rejuvenation efforts in Bodh Gaya villages.</p>

<h3>1. Qualitative Data Collection (Thematic Analysis):</h3>
<ul>
<li><strong>Method:</strong> Open-ended questions were used to gather rich qualitative insights into participants' perceptions and expectations regarding river rejuvenation.</li>
<li><strong>Data Collection:</strong> Responses were collected through in-person interviews and discussions with villagers, allowing for nuanced exploration of themes and narratives.</li>
<li><strong>Analysis:</strong> Thematic analysis was conducted to identify recurring patterns and themes in participants' responses, providing qualitative depth to complement quantitative findings.</li>
</ul>

<h3>2. Quantitative Data Collection (Survey):</h3>
<ul>
<li><strong>Method:</strong> Structured surveys were utilized, incorporating both objective and Likert scale questions to quantify participants' expectations and perceived impacts.</li>
<li><strong>Data Collection:</strong> Surveys were administered in offline modes, with researchers orally presenting questions and recording responses directly from participants.</li>
<li><strong>Question Types:</strong> The survey included nominal questions for categorical data and Likert scale questions to assess varying levels of agreement or expectation.</li>
</ul>

<h3>Sampling Procedures:</h3>

<h3>1. Purposive Sampling (Qualitative):</h3>
<p><strong>Selection Criteria:</strong> Participants were purposefully selected from Silaunja and Gangaar villages based on their proximity to the Niranjana River and their involvement in local community affairs.</p>

<h3>2. Simple Random Sampling (Quantitative):</h3>
<p><strong>Rationale:</strong> Individuals from selected villages were chosen through simple random sampling, ensuring unbiased representation and generalizability of findings to the broader population.</p>