Sentence examples for inappropriate analyses from inspiring English sources
Unfortunately, these measurement models and the properties of their output have sometimes caused confusion resulting, on occasion, in inappropriate analyses and faulty interpretations.
The 2×2 contingency table is a common analytical method for wildlife studies, but inappropriate analyses and inferences are not uncommon.
The consequences of inappropriate analyses can range from embarrassment and loss of funding through catastrophic failure of poorly designed structures under service loads, with the liabilities and litigations that inevitably follow.
Inappropriate analyses seemed to be less common in the more visible journals.
Some reviews suggest that inappropriate analyses, a lack of alternative hypotheses and other methodological limitations undermine the validity.
However, given that the role of asthma may be more direct, making its inclusion in the models inappropriate, these analyses are secondary to the main analyses.
As would be expected given the controversial nature of Bem's claims, a number of critics have gone through the original paper with a fine-toothed comb and highlighted evidence of flawed methodology and inappropriate statistical analyses.
Methodological issues common to these studies are the use of target versus surrogate tissues and how this choice impacts control selection, disease effects on adduct levels, the time period reflected by adduct levels, the use of inappropriate statistical analyses and small sample sizes.
In the present study, we complemented the CFA with ESEM because the imposed simple structure of CFA models, that is, constraining non-target factor loadings to zero, is often inappropriate when analyses are done at the item level and when there are multiple factors, each measured with a reasonable number of items [35].
The lack of statistical significance for E-R trends over the entire exposure range led to inappropriate additional analyses.
Studies often have similar methodological problems to other types of studies: poor design, small sample size, incomplete data, inappropriate statistical analyses, and optimistic interpretation are concerns.
