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Variables derived from this measure were analyzed in relation to clinically rated awareness for memory loss.
Data for each measure were analyzed using a four-way analysis of variance (ANOVA) using strain, sex, handling (i.e. underwent the EHLP or did not), and housing (i.e. individually or group housed) as between subject factors.
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The head dips measure was analyzed using a Kruskal-Wallis non-parametric test.
Once the basic standards are met, the effectiveness of a mitigation measure is analyzed in more detail.
A Measurement Analysis adopts an Operational Definition of Measure that refers to the Measure being analyzed.
Hence, each reduction measure is analyzed individually, which benefits precision on one hand, but at the same time increases the risk of not including interaction effects between measures.
We did not use 'standardized mean difference' so each outcome measure was analyzed separately.
Each outcome measure was analyzed using random effects models.
Therefore, each summary measure was analyzed in a separate model.
The effect of image category (pleasant, unpleasant, and neutral) on each dependent measure was analyzed in separate one-way repeated measures ANOVA's (SPSS, v.16).
In addition, standard soil fertility and soil heath measures were analyzed.
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