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by
Snow, Ryan T., author.
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as a supplement to future multivariate poverty analysis.
by
Singh, Aditya, author.
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was analyzed using Multivariate Analysis of Variance (MANOVA) to compare the between-subject effects
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Kim, Hansol, author.
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-fold expansion for 30 days before it shows senescence. By employing a multivariate analysis technique, phenotypic
by
Kogan, Alyssa, author.
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significant predictor of distance to green space. Of all the models, using a multivariate model with distance
by
McCarrel, Carmen Rebecca, author.
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significant difference in psychological distress. Lastly, the multivariate analysis conducted using a two
by
Cheng, Shenghui, author.
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visualizations to help humans gain insight. In the thesis, we focus on relation discovery in multivariate static
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Rehman, Tehreem, author.
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). Multivariate logistic regression analysis demonstrated that several person-level factors, age of sixty years
by
Dawson, Amy, author.
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geared towards the research professorship (persisters) were examined by multivariate analysis of variance
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Rudolph, Michelle Rose, author.
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-way multivariate analysis of covariance (MANCOVA) was used to determine if the format of facilitation for weekly
by
Norris, Tamala, author.
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in the State of Texas. Multivariate analysis, partial correlation statistical test, and partition of
by
Bergmans, Rachel Sierra, author.
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Families and Child Wellbeing Study (FFCWS). Multivariate logistic and linear regression, as well as path
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Garcia, Adriana Mabel, author.
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higher levels of burnout. Results were not statistically significant. A one-way multivariate analysis of

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