Factor loadings, fit statistics, reliability, and validity measures for TPB constructs across each hemp product model
| Measure | CBD | Clothing | Food | Personal care | Pet products | ||
|---|---|---|---|---|---|---|---|
| Factor loadings1 | ATT1 | Using hemp [product] is good1 | 0.90 | 0.82 | 0.87 | 0.85 | 0.89 |
| ATT2 | Using hemp [product] is beneficial | 0.89 | 0.81 | 0.88 | 0.81 | 0.83 | |
| ATT3 | Which of the following best describes your attitude towards hemp [product]? | 0.78 | 0.65 | 0.69 | 0.69 | 0.75 | |
| SN1 | The people important to me approve of me using hemp [product] | 0.82 | 0.81 | 0.83 | 0.80 | 0.80 | |
| SN2 | The people important to me want me to use hemp [product] | 0.76 | 0.80 | 0.84 | 0.74 | 0.76 | |
| SN3 | I would use hemp [product] if I saw others using it too | 0.74 | 0.64 | 0.73 | 0.66 | 0.69 | |
| PBC1 | Using hemp [product] is possible for me | 0.79 | 0.72 | 0.81 | 0.75 | 0.80 | |
| PBC2 | Substituting conventional product alternatives for hemp-based [product] is easy | 0.61 | 0.60 | 0.73 | 0.68 | 0.75 | |
| PBC3 | I can afford hemp [product] | 0.53 | 0.60 | 0.65 | 0.60 | 0.64 | |
| PBC4 | Hemp [product] is available for me to try before I decide whether to use it | 0.60 | 0.57 | 0.67 | 0.57 | 0.65 | |
| PBC5 | Using hemp [product] is practical for me | 0.87 | 0.82 | 0.85 | 0.82 | 0.85 | |
| Comparative fit index (CFI) | 0.97 | 0.95 | 0.98 | 0.97 | 0.95 | ||
| Tucker-Lewis index (TLI) | 0.96 | 0.94 | 0.97 | 0.96 | 0.94 | ||
| Room mean square error of approximation (RMSEA) | 0.07 | 0.08 | 0.06 | 0.06 | 0.08 | ||
| 90% CI (upper) | 0.08 | 0.09 | 0.07 | 0.07 | 0.09 | ||
| 90% CI (lower) | 0.06 | 0.07 | 0.05 | 0.05 | 0.07 | ||
| Composite reliability | |||||||
| ATT | 0.89 | 0.81 | 0.86 | 0.83 | 0.86 | ||
| SN | 0.82 | 0.80 | 0.84 | 0.78 | 0.79 | ||
| PBC | 0.80 | 0.79 | 0.85 | 0.80 | 0.85 | ||
| Average variance extracted (AVE) | |||||||
| ATT | 0.74 | 0.59 | 0.68 | 0.62 | 0.69 | ||
| SN | 0.60 | 0.57 | 0.64 | 0.54 | 0.57 | ||
| PBC | 0.49 | 0.44 | 0.56 | 0.47 | 0.55 | ||
| Cronbach’s alpha | |||||||
| ATT | 0.89 | 0.80 | 0.86 | 0.83 | 0.87 | ||
| SN | 0.82 | 0.78 | 0.84 | 0.77 | 0.80 | ||
| PBC | 0.83 | 0.80 | 0.86 | 0.82 | 0.86 | ||
| Squared inter-construct correlation | |||||||
| ATT-SN | 0.74 | 0.64 | 0.68 | 0.67 | 0.65 | ||
| ATT-PBC | 0.87 | 0.68 | 0.80 | 0.82 | 0.64 | ||
| SN-PBC | 0.84 | 0.67 | 0.79 | 0.80 | 0.68 | ||
| Heterotrait-Monotrait (HTMT) ratio of correlations | |||||||
| ATT-SN | 0.87 | 0.83 | 0.85 | 0.82 | 0.80 | ||
| ATT-PBC | 0.87 | 0.80 | 0.86 | 0.85 | 0.77 | ||
| SN-PBC | 0.88 | 0.79 | 0.89 | 0.89 | 0.81 | ||
| Measure | CBD | Clothing | Food | Personal care | Pet products | ||
|---|---|---|---|---|---|---|---|
| Factor loadings1 | ATT1 | Using hemp [product] is good1 | 0.90 | 0.82 | 0.87 | 0.85 | 0.89 |
| ATT2 | Using hemp [product] is beneficial | 0.89 | 0.81 | 0.88 | 0.81 | 0.83 | |
| ATT3 | Which of the following best describes your attitude towards hemp [product]? | 0.78 | 0.65 | 0.69 | 0.69 | 0.75 | |
| SN1 | The people important to me approve of me using hemp [product] | 0.82 | 0.81 | 0.83 | 0.80 | 0.80 | |
| SN2 | The people important to me want me to use hemp [product] | 0.76 | 0.80 | 0.84 | 0.74 | 0.76 | |
| SN3 | I would use hemp [product] if I saw others using it too | 0.74 | 0.64 | 0.73 | 0.66 | 0.69 | |
| PBC1 | Using hemp [product] is possible for me | 0.79 | 0.72 | 0.81 | 0.75 | 0.80 | |
| PBC2 | Substituting conventional product alternatives for hemp-based [product] is easy | 0.61 | 0.60 | 0.73 | 0.68 | 0.75 | |
| PBC3 | I can afford hemp [product] | 0.53 | 0.60 | 0.65 | 0.60 | 0.64 | |
| PBC4 | Hemp [product] is available for me to try before I decide whether to use it | 0.60 | 0.57 | 0.67 | 0.57 | 0.65 | |
| PBC5 | Using hemp [product] is practical for me | 0.87 | 0.82 | 0.85 | 0.82 | 0.85 | |
| Comparative fit index (CFI) | 0.97 | 0.95 | 0.98 | 0.97 | 0.95 | ||
| Tucker-Lewis index (TLI) | 0.96 | 0.94 | 0.97 | 0.96 | 0.94 | ||
| Room mean square error of approximation (RMSEA) | 0.07 | 0.08 | 0.06 | 0.06 | 0.08 | ||
| 90% CI (upper) | 0.08 | 0.09 | 0.07 | 0.07 | 0.09 | ||
| 90% CI (lower) | 0.06 | 0.07 | 0.05 | 0.05 | 0.07 | ||
| Composite reliability | |||||||
| ATT | 0.89 | 0.81 | 0.86 | 0.83 | 0.86 | ||
| SN | 0.82 | 0.80 | 0.84 | 0.78 | 0.79 | ||
| PBC | 0.80 | 0.79 | 0.85 | 0.80 | 0.85 | ||
| Average variance extracted (AVE) | |||||||
| ATT | 0.74 | 0.59 | 0.68 | 0.62 | 0.69 | ||
| SN | 0.60 | 0.57 | 0.64 | 0.54 | 0.57 | ||
| PBC | 0.49 | 0.44 | 0.56 | 0.47 | 0.55 | ||
| Cronbach’s alpha | |||||||
| ATT | 0.89 | 0.80 | 0.86 | 0.83 | 0.87 | ||
| SN | 0.82 | 0.78 | 0.84 | 0.77 | 0.80 | ||
| PBC | 0.83 | 0.80 | 0.86 | 0.82 | 0.86 | ||
| Squared inter-construct correlation | |||||||
| ATT-SN | 0.74 | 0.64 | 0.68 | 0.67 | 0.65 | ||
| ATT-PBC | 0.87 | 0.68 | 0.80 | 0.82 | 0.64 | ||
| SN-PBC | 0.84 | 0.67 | 0.79 | 0.80 | 0.68 | ||
| Heterotrait-Monotrait (HTMT) ratio of correlations | |||||||
| ATT-SN | 0.87 | 0.83 | 0.85 | 0.82 | 0.80 | ||
| ATT-PBC | 0.87 | 0.80 | 0.86 | 0.85 | 0.77 | ||
| SN-PBC | 0.88 | 0.79 | 0.89 | 0.89 | 0.81 | ||
Note(s): 1 Factor loadings are standardized
Source(s): Authors’ work