Table 3.
Logistic regression model predicting message categorization by writers based on depth (N = 976)
Messages designed to be simple | |||
---|---|---|---|
OR (SE)a | 95% CIb | p | |
Word count | 0.62 (0.02) | 0.57-0.66 | <0.001 |
Word length | 0.77 (0.01) | 0.75-0.80 | <0.001 |
Gain-framed | 1.21 (0.26) | 0.79-1.86 | 0.376 |
Designed to be emotional versus rational | 1.78 (0.47) | 1.06-3.00 | 0.029 |
Affect | 1.04 (0.02) | 1.00-1.08 | 0.026 |
Cognitive processing | 1.02 (0.01) | 0.99-1.05 | 0.171 |
New and emerging product | 0.92 (0.19) | 0.61-1.39 | 0.695 |
Model χ2=744.52 | <0.001 |
Indicates odds ratio followed by standard error in parentheses.
Indicates 95% confidence interval.