Stratifikasjonsbaserte

Stratifikasjonsbaserte refers to methods or approaches that involve stratification. Stratification, in a general sense, means dividing a population or a dataset into distinct subgroups or strata based on certain characteristics. These strata are mutually exclusive and collectively exhaustive, meaning every individual or data point belongs to exactly one stratum, and all individuals or data points are accounted for.

The purpose of stratification is to ensure that specific subgroups are adequately represented in a sample or analysis, or to allow for differentiated treatment or examination of these subgroups. In statistical sampling, stratified random sampling is a common technique. It involves dividing the population into strata and then drawing a random sample from each stratum. This can lead to more precise estimates compared to simple random sampling, especially when the strata are homogeneous within themselves but heterogeneous between each other.

In other contexts, "stratifikasjonsbaserte" might refer to classification systems or analytical frameworks that categorize entities into layers or levels. For instance, in sociology, social stratification describes the hierarchical arrangement of individuals or groups in society based on factors like wealth, education, and occupation. Analytical approaches that are "stratifikasjonsbaserte" would therefore focus on understanding phenomena through the lens of these social layers. Similarly, in computer science or engineering, stratification might be used to organize data or processes into different levels of abstraction or importance. The core idea remains the division into ordered or distinct groups for a specific purpose.