The phrase "a general testing for" is correct and usable in written English.
It can be used when referring to a broad assessment or evaluation of something, typically in a scientific or technical context.
Example: "The researchers conducted a general testing for the presence of contaminants in the water samples."
Alternatives: "a general assessment for" or "a general evaluation of".
In 2002, Fan et al. created a general test for the three attention systems--the Attention Network Test (ANT).
It would be useful to have a general test for the success of orbital tuning, and one proposal has been that eccentricity ought to covary with the amplitude envelope associated with precession variability recorded in tuned geologic records.
This suggests that a test that could detect any chromosomal abnormalities in a person's blood could serve as a general test for cancer.
This study sought to evaluate performance characteristics of routine echo for left ventricular thrombus (LVT .Although the utility of dedicated echocardiography (echo) for LVT is established, echo is widely used as a general test for which LVT is rarely the primary indication.
Stated another way, no single test is a general test for all types of selection.
For a random C, our procedure is a general test of significance for qualitative variables in a nonparametric regression.
These are uncharacteristically large effect sizes, particularly for a general test of cognitive function, in these cohorts.
In order to facilitate this emerging domain, a general test platform for CPSs, low-priced intelligent vehicle with Wireless Sensor Networks (WSNs) navigation, is designed to test and verify the proposed methods and theories.
A general test procedure for qualification of solar absorber surface durability has been developed based on the results of a comprehensive case study performed within the framework of the IEA Solar Heating and Cooling Programme Task X.
Egger's regression [ 30] - which can be thought of as a very general test for dissemination bias [ 31] - provides some evidence for a higher than average correlation between effect size and precision (p-value 0.098).
Bonetti-Pagano's M-statistic [ 5] is a non-parametric general test for clustering.
