Unique vertical/short takeoff and landing (V/STOL) aerodynamic considerations, such as intake momentum drag, yaw roll coupling, and

negative stability between 30 and 90 knots, are mentioned without explanation to the uninitiated reader.

However, even in the case of the EASQ, which is an attempt to increase the internal consistency of the attributional style questionnaires by adding more items, the alphas of negative stability and globality had quite higher coefficients (.85 and .88, respectively) compared to the negative internality dimension (.66).

Factor analysis of the OASQ's scales of internality, stability and globality for positive and negative events (loadings above [absolute value of .40] are shown in boldface) Scales Factor 1 Factor 2 Factor 3 Positive internality .72 .20 .03 Positive stability .81 -.01 -.39 Positive globality .82 -.01 -.10 Eigenvalue = 2.1 Variance explained = 35.9 Negative internality -.00 .91 -.07 Negative globality .23 .73 -.52 Eigenvalue = 1.4 Variance explained = 24.6 Negative stability .13 .22 -.94 Eigenvalue = 0.85 Variance explained = 14.2 Factor correlation matrix Factor 1 Factor 2 Factor 1 1.00 Factor 2 .08 1.00 Factor 3 -.16 -.17 Note.

Finally, a stepwise multiple regression was conducted using the RPQ's scale of confidence as the criterion and the scales of negative stability and negative globality as the predictor variables.

The higher-order factor analysis of the six scales generated three factors; the first was made up of the scales for positive events, the second of the scales of negative internality and negative globality, and the third of the scale of negative stability.

The second factor consists of negative internality and negative globality, while the third factor holds the scale of negative stability. Consequently, the results of the higher-order factor analysis, as well as the intercorrelation coefficients, indicate that attributional style for positive events and attributional style for negative events should not be considered as opposite poles of a general attributional style, but rather as separate variables.

Negative stability failed to enter any of the multiple regression equations.