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Note for these analyses given the reduced sample size we created factor composites for each cognitive ability measure rather than relying on confirmatory factor analysis.
We created factor models using the software AMOS 22.0 (Arbuckle, 2011).
The logistic regression model containing the newly created factor L is shown in Table IV.
We then created factor scores for each of the four factors by taking only those variables with a loading of greater than 0.5 on a given factor.
To do this, we created factor score estimates for every landmark corresponding to each of the four orthogonal principal components and then used these values to generate parametric regressors for a whole brain fMRI analysis (see 'Materials and methods').
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Assessing the relationship between attitudes and behavior involved creating factor scores for attitudinal variables, creating a factor model for behavioral variables, creating factor scores for behavioral variables and finally, correlating attitudinal and behavioral factor scores.
This required conducting factor analysis of behavioral items and creating factor scores for both behavioral and attitudinal factors.
The Anderson-Rubin method was used to create factor scores from the factor solution [ 14].
Value creating factors in this phase are production well planning, maintaining the rate of production and maximizing the life of the accumulation by injecting gas or water into specifically designed injector wells to maintain the pressure.
Items that loaded onto each factor were summed to create factor-based scales.
But in this case the possible aptamer-lipid interactions [ 11] may appear as general background creating factors.
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