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The life satisfaction scores for 2006 (on scale of 1 to 10) for 130 countries (from the Gallup Poll) are related in a multivariate regression to various factors.
In this paper, a methodology is tested which combines Markov chains and logistic multivariate regression to model secondary succession after farmland abandonment in environments where abiotic constraints play a major role, like mountain areas.
Her measurement tool, developed by research firm Mathematica and Harvard professor Thomas Kane as part of a larger framework for teacher accountability called "IMPACT," relied on a fixed effects multivariate regression to measure teachers' "value-added" effect on student test scores.
We performed a multivariate regression to characterize associations between Human Connection Scale scores and key variables.
Then we perform multivariate regression to explore how status discordance is determined by objective status indicators and other individual attributes in a sociologically meaningful way.
In their analysis of the risk factors of sepsis after multiple trauma, Wafaisade et al. utilized a multivariate regression to identify male gender, increased age, and pre-existing conditions as significant predictors [23].
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We performed spatial analyses and multivariate regressions to study the associations between social and landscape data.
The subject matter taught in these classes, from multivariate regressions to everyday business terminology, helped me get up to speed on many aspects of the job pretty quickly.
An examination of past KAP studies shows that the most effective methodologies used categorical KAP indices, conduct multivariate regressions to identify, and control for multiple influencing factors.
Finally, we use multivariate regressions to test if the associations documented in the initial univariate analysis are robust to controlling for potential confounders.
Instead, we need to use multivariate regression techniques to control for the individual characteristics.
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