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This paper uses a structural equations modelling (SEM) technique with latent variables to explore these short- and long-term dynamics.
Many correlations were found between measurements they extracted and socioeconomic status, but ultimately there was just too much to sift through, too many possible variables to explore.
It deals with uncertain variables to explore their variation impact on an objective function in engineering or other mathematical and physical systems.
The following paragraphs expound on the methodology used to determine the degree of EM, CSR performance, and industry effects as well as on the model developed, including the control variables, to explore the EM-CSR relationship.
Specifically, in model 1, we only add individual level explanatory variables to analyze the micro effects on income; in model 2, we only include region and industry level variables to explore possible structural variations; and finally, in model 3, we fit a model that includes explanatory variables from all levels to consider both micro and macro effects simultaneously.
First, the richness of our data allows us to directly measure the relationship between young women's labor force participation and grandparents' childcare, use an extended set of background variables to explore heterogeneous effects, and undergo an extended set of robustness checks.
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Research to date has so far considered privacy concerns either as an independent variable to explore consumers' actual (or stated) behavioural intentions (e.g. the decision to purchase goods online) or as dependent variable explained through a number of antecedents (e.g. privacy awareness).
We used linear least-squares regression with the annual rate of citation as the dependent variable to explore associations.
Initial tabulations and bivariate analyses were conducted for each variable to explore associations in the data.
Hazard ratios were also estimated with radon exposure as a continuous variable to explore a possible linear exposure response.
Individual physical fitness test results were combined into a single variable to explore whether co-impairment in aerobic and muscular fitness would increase the HR for injuries.
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CEO of Professional Science Editing for Scientists @ prosciediting.com