Sentence examples for methodological choices for from inspiring English sources

What are the implications of these methodological choices for understanding the component processes and underlying neural substrates of memory retrieval?

In this paper, different types of decisions situations are outlined based on at what level of complexity (network or specific project) and at what stage within the planning process (early planning or late planning/design) the decision is to be made, and relevant methodological choices for these decision situations are discussed.

Methodological choices for finding targets in malaria parasites have been traditionally limited.

Sensitivity analyses will be performed to evaluate the impact of scaling up the intervention (i.e. more patients per session; fixed costs allocated over more patients) and methodological choices for cost assignment [ 97, 98].

It is challenging to compare studies that examine OH, as there is great heterogeneity in methodological choices for the equipment and testing protocol used to measure OH, as well the definition used to identify the timing and magnitude of a blood pressure decline that constitutes OH [ 3, 6].

Importantly, the methodological choice for these assessments reflects an understanding of domestic violence as a complex phenomenon that tends not to remain restricted to only one member of the family [ 58].

Our aim is to identify which conclusions concerning the status of the three BSAP segments are robust to the selection of indicators and assessment methodologies, and where the methodological choices are critical for the outcome of the assessment.

There is no standard approach to cite, there is no accepted methodology or set of methods to fall back on, and the process of offering justification for every methodological choice from first principles takes a lot of space, which is rarely available.

This justifies the methodological choice of including multiple eco-evolutionary feedbacks for estimating ecology-driven fitness functions.

We introduce a data-analysis framework and performance metrics for evaluating and optimizing the interaction between activation tasks, experimental designs, and the methodological choices and tools for data acquisition, preprocessing, data analysis, and extraction of statistical parametric maps (SPMs).

As with other tasks, methodological choices are crucial for the accuracy and power of the inference.