Table 2

Reliability and convergent validity

Constructs and items (α. CR. AVE)SLt-valueBootstrap analysis
SE biasLowerUpperp
Attention (0.896. 0.902. 0.756)
I like to learn more about X0.78615.161***0.0010.7170.8510.004
I pay a lot of attention to anything about X0.92619.622***0.0020.8830.9550.009
Anything related to X grabs my attention0.89018.395***0.0010.8290.9340.007
Enthusiasm (0.909. 0.911. 0.774)
I am passionate about airline X0.91019.069***0.0000.8620.9490.005
My flights would not be the same without airline X0.81315.969***−0.0020.7290.8770.004
I love X0.91219.121***−0.0010.8720.9540.003
Offline Loyalty (0.932. 0.937. 0.833)
I would make positive comments about X face-to-face to other people0.94620.645***0.0000.9220.9660.005
I would recommend X to others seeking my advice0.94620.643***−0.0010.9200.9670.004
I encourage my friends and family to choose X for their flights0.84217.011***0.0000.7970.8830.005
Social media Loyalty (0.890. 0.889. 0.728)
I would comment positively on social media about X0.88418.009***−0.0010.8060.9320.007
I would recommend following the social networks of X0.88417.988***−0.0010.8120.9380.005
I encourage my friends and family to follow X on social media0.78915.123***0.0000.7010.8610.005

Note(s): S-B2 (48df) = 168.035 (p < 0.05); normed fit index (NFI) = 0.945; comparative fit index (CFI) = 0.966; root mean square error of approximation (RMSEA) = 0.096; SL = Standardised Loadings; SE = Standard error

***p < 0.001; α: Cronbach’s Alpha coefficient; CR: composite reliability; AVE: average variance extracted; SL: standardised loadings

Source(s): Table by the authors

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