The phrase "a broad set of variables" is correct and usable in written English.
You can use it when discussing a wide range of factors or elements that can influence a particular outcome or situation.
Example: "In our research, we considered a broad set of variables to ensure a comprehensive analysis of the data."
Alternatives: "a wide array of variables" or "a diverse range of variables."
The answer is that the two carefully chosen dimensions (fundamenta) are to be considered as reductions (Marradi, 1990) with the intent to represent a broad set of variables.
Additional 2SLS regressions compiled after having regressed SDS on a broad set of variables potentially determining disclosure behavior (Leuz and Verrecchia 2000) confirm the outcome of the Hausman test. .
The strength of this approach was the availability of a broad set of variables, including clinical complications, disease diagnoses, treatments received, services used and functional and cognitive status.
An improved level of information quality, that considered a broader set of variables and their interactions, would allow decision-making to focus on manageable factors in support of land use allocation that minimises carbon emissions and maximises carbon uptake in support of climate change mitigation.
A broad set of socioeconomics variables as well as in depth surveys of special topics make SHARE a valuable tool for research.
In order to test H1, we follow the generic specification of our research model and include a broad set of control variables.
In order to test H1, we conform to the generic specification of our research model and include a broad set of control variables.
As mentioned earlier, all models include a broad set of control variables: age, educational level, marital status, etc. (see Table 1).
Our analysis supports H1, i.e., increasing levels of voluntary strategy disclosure (SDS) are negatively associated with cost of equity capital (CC) even after controlling for variation in a broad set of other variables.
Gortmaker et al 43 include a broad set of outcome variables, following a cohort from the NLSY (16 to 24 year-olds) for seven years to determine whether membership in a high-BMI category leads to lower income or educational attainment, more health conditions, or lower self-esteem.
To capture firm heterogeneity, as well as other variables that are likely to determine reporting decisions, we use a broad set of metric control variables for firm characteristics and capital market data.
