Complete Analysis Sample Clauses

Complete Analysis. None of this means that the court was wrong. The mere fact that § 9-617 does not apply does not mean that the buyer at the disposition received no rights; it means instead that we must look to other law to determine what rights, if any, the buyer received. Although the secured party lacked the right to sell the collateral, perhaps the secured party nevertheless had the power to do so. For some types of collateral, a secured party does have the power to transfer the debtor’s rights to a disposition buyer even if the debtor were not in default. For example, if the collateral were a negotiable instrument in bearer form or indorsed to the secured party, the secured party could transfer the instrument to a holder in due course who would take free of claims to the instrument, including the debtor’s claims.17 A buyer at a disposition could potentially qualify as a holder in due course.18 If the collateral were a certificated or uncertificated security, a disposition buyer might qualify as a protected purchaser that similarly takes free of adverse claims.19 A disposition buyer could also acquire good title to a negotiable document of title – and to the goods covered by the document – through due negotiation of the document.20 Finally, under new Article 12, a buyer at a disposition could potentially be a qualifying purchaser of a controllable electronic record,21 and thereby take free of a claim of a property right in the controllable electronic record.22 Each of the foregoing examples involves a take-free rule of the UCC that protects a limited class of transferees of a specified type of property. For each, a disposition buyer could be within the protected class. For a buyer of goods at an Article 9 disposition, the result is less clear
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Complete Analysis. Our complete analysis is the equivalent of analysis with listwise deletion and is a way to just view the results when considering women who did complete the program. This will serve as a way to compare completers to non-completers. This analysis was completed on the N=83 participants who completed the program (i.e. were not removed). First, we construct an OLS model to determine if a portion of the variance in baseline ADS could be accounted for by psychological measures. We find that baseline ADS was statistically significantly associated with Benefit to Exercise Score, Anger Expression Score, and JHP Common Score. The model had r2=0.07, which is extremely low. Table 8. Complete Model Results for ADS, N=83 Variable P aram e ter Est SE t-valu e p-valu e Intercept 7679.18 2034.84 3.77 <0.001 Benefit to Exercise -24.47 13.97 -1.75 0.083 Anger Expression -78.80 50.55 -1.56 0.123 J HP Common 266.55 234.61 1.14 0.259 Next, we construct a GLM to determine if the proportion of variance in improvement in ADS could be accounted for by baseline ADS and psychological measures. We find that it is statistically significantly associated with Baseline ADS, Anger Expression, Weight Efficiency, Life Changes, BSI: Somatization Scale and Exercise Confidence. Overall r2=0.23, F=30.60, and p<0.0001. Table 9. Complete Model Results for Improvement in ADS, N=83 Variable F-valu e P -value Baseline ADS 148.22 <0.001 Anger Expression 14.86 <0.001 Weight Efficiency 7.38 0.007 Life Changes 5.50 0.019 BSI: Somatization Scale 4.33 0.038 Exercise Confidence 3.28 0.071 We construct another GLM adding in change in psychological measures from baseline to end of study. We find that a proportion of variance in ADS is accounted for by baseline ADS, Change in Barriers to Exercise and Change in Total EBBS. Overall, r2=0.20, F=35.83, and p<0.0001. Table 10. Complete Model Results for Improvement in ADS with Psychological Measures, N=83 Variable F-valu e P -valu e Baseline ADS 94.16 <0.001 Change in Barriers to Exercise 6.77 0.010 Change in Total EBBS 6.54 0.011 We construct an ANOVA to determine if variation in change in cardiovascular fitness can be accounted for by change in ADS. The results were that a difference in cardiovascular fitness is significantly associated with change in ADS, F=11.6, p<0.0001.
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