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Consciousness-Based Education - Maharishi University of ...

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consciousness-based education and Governmentin this study. In any event, all inferences in times series modeling arebased on asymptotic results.16Although it was significant at only the .10 level (p = .0688), the constantterm was retained in the TF model because the AIC was higherwithout it.17With one exception (a correlation between the lag 5 and 6 AR noiseparameter estimates <strong>of</strong> –.45), all correlations between parameter estimateswere 0.34 or less in absolute value.18As reported in Table 2, the residual standard error is 26.804. Thesteady state gain is also 1.71 times the interquartile range (third quartileminus first quartile) for USSR t. The interquartile range (53.613)is the span <strong>of</strong> the middle 50 percent <strong>of</strong> the data, a variability measuremore robust to outlying observations than the standard deviation.19Controlling for the effect <strong>of</strong> the World Peace Assemblies, an increase<strong>of</strong> one unit in the index <strong>of</strong> US behavior toward the USSR was followedone month later, on average, by an increase <strong>of</strong> 0.214 units in the rating<strong>of</strong> Soviet actions toward the US. Analysis <strong>of</strong> daily or weekly data mightconceivably reveal evidence <strong>of</strong> stronger reciprocity that is not detectableusing monthly data. Although the single equation analysis <strong>of</strong> thispaper does not directly examine the issue <strong>of</strong> possible contemporaneousUS-Soviet interactions in the monthly data, evidence for such significantinteraction was found in the context <strong>of</strong> a simultaneous equationTF analysis <strong>of</strong> this data by Gelderloos et al. (1990a, 1990b).20Sensitivity analysis found that the intervention results in Table 2 wererobust to the possible presence <strong>of</strong> outlying observations. SCA’s automatedoutlier identification and estimation procedure (Scientific ComputingAssociates, 1990) was used to estimate a TF model includingcomponents to model detected outliers. The default values for the SCAs<strong>of</strong>tware’s oestim procedure were used. For the outlier-adjusted model,the estimated intervention parameters at lags 0, 2, and 4 remained sizeableand highly significant (t = 3.94, p = .00004; t = 3.80, p = .0001;t = 4.85, p = 6 x 10-7, respectively). The three intervention parameterswere also jointly significant, as indicated by the likelihood ratio test(λ = 21.983, d.f. = 3, p = .0001). The steady state gain for the Assemblieswas 78.699. All diagnostic tests were satisfactory for the outlieradjustedmodel. The null hypothesis <strong>of</strong> normally distributed residualscould not be rejected using the Jarque-Bera test (Χ 2 (2) = .615, p = .735).488

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