The phrase "competence data" is grammatically correct and can be used in written English.
Example: The company reviewed the employee's performance and found that their competence data showed a significant improvement in their sales skills.
The control-group competence ratings indicate no gender bias by either men or women; the experimental-conditions competence data are consistent with the candidates' records as predicted, but also show women minimizing the record of the better-performing male candidate.
A set of plausible values for the competence data will provide the basis for comparing PIAAC test performance over time, for comparing the actual test instruments from PIAAC and NEPS, and for analyzing the competence data within couples.
To scale the competence data, invalid responses or omitted items were rated as incorrect answers (0 = no credit).
To facilitate analyses of the competence data and the repeated measures, plausible values, which are the state of the art in analysis techniques for large-scale assessment data, will be provided, adopting the procedures from PIAAC as far as possible.
The use of vectorial capacity to statistically compare virus transmission differences has been limited due to the inability to efficiently test differences, and often the statistical comparisons are limited to the vector competence data [2], [35], [36], [37].
Instead of evaluating vectorial capacity and vector competence at discrete time points, as traditional use of vector competence data allows, vector competence can be modeled as a function of the rate of change over time in days, giving a value we term "effective vector competence (EVC)".
That includes a broad shift to agile, adopting new technologies such as cloud and microservices, increasing competence around data analytics (and data governance), and driving cultural change throughout the organization.
Data from the student competence test data.
But brand managers need the computational competence of data scientists and analytic tools to get greater value from that data.
The DUS will also require students to show adequate competence in data analysis when the area of concentration requires it.
Just as with the field of genomics, to which computational social sciences has been compared, it may well take a generation before we see researchers who combine high-level competence in data science with equivalent expertise in anthropology, sociology, and other social sciences.
