Sentence examples for measure of generalised from inspiring English sources

School maladjustment, on the other hand, is a measure of generalised maladjustment in this environment (negative attitudes toward school personnel and the structure of the educational process in general), which is often accompanied by academic difficulties.

The aim of this study was to develop a multi-item measure of Generalised Anxiety Disorder stigma (the GASS).

Accordingly, we report here the development and preliminary validation of a new multi-item measure of Generalised Anxiety Disorder stigma.

Assessment of diabetic retinopathy by digital retinal photography was used as the most sensitive and specific measure of generalised microvascular disease.

Under the hypothesis of a multivariate normal distribution within each group, the discriminant function was determined by a measure of generalised squared distance.

Apart from the well-known association with antipsychotics, development of TDD was associated with various other dopamine proxy measures, indirectly supporting the notion of generalised dopamine dysregulation in BD.

Owing to the possibility of organ-specific functions of EGF signalling in promoting metastasis, clinical trials should measure both generalised and organ-specific outcome of metastasis.

The GSE scale measures feelings of mastery in various situations, providing evidence of generalised self-efficacy among students.

To this end, here we report a novel quantitative measure of GC skew strength called the generalised GC skew index (gGCSI) that is independent of window size and is therefore applicable to comparative studies of genomes of any length.

We found no studies in the published literature that looked at the effects of a sport-for-development program on a validated measure of other-group orientation, beyond more generalised claims for impacts on community cohesion [ 7] highlighting the unique finding about this construct from the current study.

Each of the secondary outcome measures will be analysed with analysis of covariance through the use of generalised linear models (the data distribution and link function being dependent upon the outcome under consideration).