<?xml version="1.0" encoding="UTF-8"?><article>
  <title>Scale development for assessing farmers perception regarding climatesmart interventions under technology demonstration component of NICRA project</title>

      <doi>https://doi.org/10.21276/AATCCReview.2025.13.01.403</doi>
  
  <authors>
      </authors>

      <abstract><![CDATA[<p>Farmers in rain-fed areas are highly vulnerable to the impact of climate change due to their<br />
dependence on agriculture, therefore adoption of climate-smart interventions is important in these<br />
areas. The technology demonstration component (TDC) of the National Innovations in Climate<br />
Resilient Agriculture (NICRA) project deals with demonstrating proven interventions for adaptation<br />
of crop and livestock production systems to climate variability. It is therefore important to measure<br />
the perception of farmers towards climate-smart interventions as it may affect the implementation<br />
of the climate-smart interventions of technology demonstration component of the NICRA project.<br />
The present study made an attempt to develop the scale to measure the farmers perception on<br />
climate-smart agricultural interventions. The scale construction consisted of construct validity,<br />
content validity and internal consistency reliability. To maximize the theoretical meaningfulness and<br />
practical utility of the scale, the aspects of construct validity was considered at all stages of the scale<br />
construction process. Relevancy weightage (RW) and mean relevancy score (MRS) was measured<br />
to assess the relevancy of items on the scale. Factor analysis was done for psychometric evaluation.<br />
Exploratory factor analysis (EFA) grouped the items into three key factors. In Confirmatory Factor<br />
Analysis (CFA), factor structure of the model was used to confirm to relationship between items<br />
and factors. Further, the Comparative Fit Index (CFI), Tucker-Lewis Index (TLI) and Standardized<br />
Root Mean Square Residual (SRMR) were used to assess the model fit. Cronbach alpha was used to<br />
assess the reliability of the scale. A total of 26 items were retained. The scale developed was found<br />
to be reliable and valid.</p>
]]></abstract>
  
  <body><![CDATA[<div class="aatcc-article-container"><div class="aatcc-category-label">Original Research Article</div><div class="aatcc-meta-box"><div class="aatcc-doi-wrap">
            <a class="aatcc-doi-btn" href="https://doi.org/10.21276/AATCCReview.2025.13.01.403" target="_blank">https://doi.org/10.21276/AATCCReview.2025.13.01.403</a>
        </div><div class="aatcc-abstract-section">
                <h3>Abstract</h3>
                <div class="aatcc-abstract-text"><p>Farmers in rain-fed areas are highly vulnerable to the impact of climate change due to their<br />
dependence on agriculture, therefore adoption of climate-smart interventions is important in these<br />
areas. The technology demonstration component (TDC) of the National Innovations in Climate<br />
Resilient Agriculture (NICRA) project deals with demonstrating proven interventions for adaptation<br />
of crop and livestock production systems to climate variability. It is therefore important to measure<br />
the perception of farmers towards climate-smart interventions as it may affect the implementation<br />
of the climate-smart interventions of technology demonstration component of the NICRA project.<br />
The present study made an attempt to develop the scale to measure the farmers perception on<br />
climate-smart agricultural interventions. The scale construction consisted of construct validity,<br />
content validity and internal consistency reliability. To maximize the theoretical meaningfulness and<br />
practical utility of the scale, the aspects of construct validity was considered at all stages of the scale<br />
construction process. Relevancy weightage (RW) and mean relevancy score (MRS) was measured<br />
to assess the relevancy of items on the scale. Factor analysis was done for psychometric evaluation.<br />
Exploratory factor analysis (EFA) grouped the items into three key factors. In Confirmatory Factor<br />
Analysis (CFA), factor structure of the model was used to confirm to relationship between items<br />
and factors. Further, the Comparative Fit Index (CFI), Tucker-Lewis Index (TLI) and Standardized<br />
Root Mean Square Residual (SRMR) were used to assess the model fit. Cronbach alpha was used to<br />
assess the reliability of the scale. A total of 26 items were retained. The scale developed was found<br />
to be reliable and valid.</p>
</div>
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            <a class="aatcc-pdf-btn" href="https://aatcc.peerjournals.net/wp-content/uploads/2025/05/Scale-development-for-assessing-farmers-perception-regarding-climate-smart-interventions-under-technology-demonstration-component-of-NICRA-project.pdf" target="_blank">View / Download PDF</a>
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