Sentence examples for selection of comparison from inspiring English sources

In this paper, we have attempted to highlight the main issues under debate regarding the selection of comparison areas or groups and demonstrate that the criticisms that ADRZ level at our analysis of these issues are unfounded.

At the crux of this difficulty is the selection of comparison or unrepeated stimulus conditions within paradigms, which influence the observed strength, selectivity and even direction of repetition effects.

After commenting on some of the findings and limitations of past work, we offer suggestions for enhancing the systematic evaluation of intervention programs that include careful selection of comparison groups, a broad array of STEM outcome measures, assessment of potentially unintended consequences, and meta-analyses.

Table SII: Selection of comparison groups and areas assessed in the reviewed studies.

An alternative analytical approach would have involved a more formal selection of comparison dates from previous years based on defined matching characteristics (i.e., mixing height, wind speed, precipitation, temperature and humidity).

In order to prevent spurious validity of physical activity questionnaires, the selection of comparison instruments that can accurately assess the construct or related dimension measured by the questionnaire has been advocated [ 37].

The reaction of some early critics is also given (Cowley accurately predicted "mixed but interested reviews"), together with a selection of comparisons between the established version and the unedited "original scroll", which Penguin published four years ago.

The natural experiment observed using this method eliminated the major weaknesses of previous studies: selection bias of comparison of SPK and isolated renal transplant recipients who may differ in both patient and donor characteristics (2– 9).

This assesses the quality of evidence based on the selection of the comparison groups, the comparability of the groups, and the quality of the measurement of exposure and outcome.

This provides the opportunity to compare different units, and to make an adequate selection of a comparison group for each intervention unit, based on similarities in work content and target population (e.g., job position, sex, age, educational level).

Our identification strategy rests on the selection of a comparison group of reassessed claimants that we think reduces the amount of selection we face relative to a broader comparison group, combined with a "selection on observed variables" assumption rendered (somewhat) plausible by our data on CPPD spell duration, pre-disability labor market outcomes and demographics.