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Generalizations are difficult in an area this big.
Given the limited and sometimes inconsistent available data coupled with a large number of variables involved, empirical generalizations are difficult to obtain.
First, the semi-structured interviews of the organization were conducted in a small sample due to the size of the museum staff, therefore generalizations are difficult to make.
The wording of state legislation is not uniform and consequently generalizations are difficult.
Further generalizations are difficult because our data set is quite sparse.
Although generalizations are difficult to make, anthropogenic change, or disturbance, appear as common themes in studies examining the causes of hybridization (e.g., Docker et al. 2003; Lamont et al. 2003; Schwarz and McPheron 2007; Keller et al. 2008).
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* In addition, the description of generalization is difficult to follow.
Although generalization is difficult, this underscores the recommended minimum proportion of c-sections at a population level of 5 10% (30).
One result of such scholarly research is the realization that the theory and practice of sacred kingship in a history extending over thousands of years—has undergone immense changes and, thus, because of these widespread and extensive differences, all generalizations and categorizations are difficult to maintain.
Consequently, the generalization and extrapolation of such types of data are difficult to complete.
As the concept of workhood has been explored in a limited geographical setting and with a very small sample size, the generalization of these results is difficult.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com