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Group-level controls were city, industry, ownership, scale, labor/capital intensive, human capital stock, and labor rights protection institutions (including trade union, party branch, or employees' representative congress).8 Table 2 presents the basic distribution of the above variables.
And as illustrated in the section "A systems understanding of sustainability," we are still learning to recombine or create tools to effectively use "systems thinking" on complex issues such as ownership, scale, and sustainability [ 43– 43].
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The data-collection tool included the 16 project ownership scales and the five networking scales.
The current regression analysis looked at the predicted value of project ownership scales for networking with parents, students, and professors.
Following the transformation of the three networking scales, the project ownership scales were used as a predictive model in a binary logistic regression analysis.
The third study involved a series of binary logistic regressions designed to consider whether project ownership scales had a predictive relationship with the construct of networking.
Overall, the data from the three studies presented here indicate that the networking scales have internal consistency, consist of a unitary dimension, can differentiate between research experiences with low and high networking designs, and are related to project ownership scales.
A close consideration of the specific project ownership scales that contributed to the relationship with networking scales reveals some important aspects of the students' responses to their laboratory courses.
This indicates that the project ownership scales as predictors reliably distinguished between students having or not having discussed their research with parents, professors, and other students at their institution (but not in their class).
The most recent peer-reviewed findings [ 4] used factors found to affect dog ownership, scaled up to population-level using the 2001 census, to estimate the owned UK dog population.
Overall, the data from the three studies indicate that the networking scales have high internal consistency (α = 0.88), consist of a unitary dimension, can significantly differentiate between research experiences with low and high networking designs, and are related to project ownership scales.
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