Sentence examples for maximum variation method from inspiring English sources

Purposive sampling using maximum variation method was adopted to gather a broad range of information from the healthcare providers.

These instructors were selected based on maximum variation sampling method.

Research participants (n = 22) were recruited using a maximum variation sampling method (see Additional file 2 for Participant Demographic Breakdown).

A purposive maximum variation sampling method was used to achieve variation in terms of age, number of pregnancies, and smoking habits.

A convenience sample of schools will be recruited using a maximum variation sampling method to ensure participating schools range in social-demographic status and geographical location.

To obtain a broad range of views, we will use a maximum variation sampling method based on patient demographics and health service characteristics.

In addition, communities in this region are sufficiently diverse in their socio-demographic variables to employ a purposive maximum variation sampling method (see Additional file 1).

Following stratification by QoL we will adopt a maximum variation sampling method aiming to include representation from people from different diagnostic groups, ethnic, social and educational backgrounds, and geographical locations.

While acknowledging the small sample size and the maximum variation sampling method, work featured very heavily in the recollection of positive life events in all six participants which is in line with one of the qualitative studies suggesting that memories of families and friends, work and work ethic, attitude toward life will enhance longevity directly or indirectly [ 39].

In this paper, the control domain U is not necessarily convex, and we shall obtain our global maximum principle using the spike variation method.

In contrast to PCA, which is an unsupervised multivariate statistical classification method that works to explain maximum variation between samples, PLS-DA is a supervised method that explains maximum separation between pre-defined classes (e.g. genotype or health state) in the data.