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However, introns are well known for providing potential markers variable within species, using EPIC-PCR.
Benavides et al. 2014 assess the ability of two types of genetic markers (variable number of tandem repeats and single-nucleotide polymorphisms) to distinguish between different transmission scenarios of cross-species transmission of bacterial pathogens.
Implementation of detailed genetic studies related to the effects of fragmentation and interspecific hybridization requires genetic markers variable enough to examine patterns of variation at the level of populations.
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We assessed the correlation between a theoretically unrelated construct (marker variable) and the other constructs.
In addition to the Harman's single factor approach we also performed Lindell and Whitney's [81] marker variable test.
The results from the model indicate that the marker variable did not have any significant influence on the endogenous latent variables.
Thus, we adopted the marker variable approach (Rönkkö and Ylitalo 2011) to test whether a common method bias confounded our results.
Since the data were collected from single informants we assessed common method bias using Harman's [77] single factor test and a modified marker variable test [78-80] [78-80]
In any case, only one relationship between the marker variable and arousal was significant; however, because arousal was non-significant (see Sect. 3.6), this finding does not influence our main conclusions.
We performed the marker variable method (Rönkkö and Ylitalo 2011) with two marker items (two items for Openness, which the ANCOVA in Table 4 shows to be unrelated to the dependent variables) taken from our empirical data set; these items were not included in our research model and lack an explicit theoretical influence on the constructs in our research model.
Hence, P-PUFA was employed as the exposure marker variable.
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