Sampling in design research: Eight key considerations

Research Design Considerations.

‘‘I’d really like to do a survey’’ or ‘‘Let’s conduct some interviews’’ might sound like reasonable starting points for a research project. However, it is crucial that researchers examine their philosophical assumptions and those underpinning their research questions before selecting data collection methods. Philosophical assumptions relate to ontology, or the nature of reality, and epistemolog...

ExEcutivE BriEfing KEY CONSIDERATIONS IN ASSET MANAGEMENT DESIGN

Statistical Considerations in Bulk Sampling

Key Design Considerations for Personalized Learning on the Web

Technologically, researchers are making rapid progress realizing the personalized learning dream with object architecture and adaptive learning technology. However, a whole-person understanding of how individuals want or intend to learn (more than just building, processing, and storing knowledge) is still missing from most online solutions. Primarily cognitive solutions that overlook the power ...

Estimation of Subpopulation Parameters in One-stage Cluster Sampling Design

Sometimes in order to estimate population parameters such as mean and total values, we extract a random sample by cluster sampling method, and after completing sampling, we are interested in using the same sample to estimate the desired parameters in a subset of the population, which is said subpopulation. In this paper, we try to estimate subpopulation parameters in different cases when one-st...