There are a wide range of sampling approaches. We use Miles and Huberman (1994), Patton (2001), Kuzel (1999) and Glaser and Strauss (1967) to provide brief descriptions of different sampling …

A stratified purposeful sampling approach can lend credibility to a research study. When enough information is known to identify characteristics that may influence how the phenonmenon is manifest, …

Criterion sampling can provide an important qualiative component to quantitative data. Criterion sampling can be useful for identifying cases from a standardized questionnaire that might be useful …

When little is known about a phenomenon or setting, a priori sampling decisions can be difficult. In such circumstances, creating a research design that is flexible enough to foster reflection, preliminary …

Iterative Sampling and Concerns with Saturation Examples from Reviewers' Comments "It also seems the focus groups were conducted prior to data analysis.

Glaser and Strauss (1967) describe an iterative sampling process that is based on emerging theoretical concepts. This sampling approach has the goal of developing a rich understanding of the dimensions …

Theoretical or purposeful sampling is generally the most highly regarded sampling method in qualitative research. However, there are a range of methods for generating a qualitative sample.

Theoretical or purposeful sampling is generally the most highly regarded sampling method in qualitative research. However, there are a range of methods for generating a qualitative sample.

Sampling approach should be adequately defined and appropriate for addressing research question. The data collection method should be described in detail and a rationale for method choices provided …

The idea is that what emerges from data analysis will shape subsequent sampling decisions. The process of iterative sampling and analysis continues until researchers reach saturation - when no …