Self-selected
Referring to a group, sample, or action where individuals have chosen to participate or be included, rather than being randomly assigned or externally mandated. This implies a degree of pre-existing interest, motivation, or specific characteristics among the participants. The term highlights a lack of impartial selection, potentially introducing bias into results or analyses. The nature of the selection process warrants careful consideration when interpreting findings and generalising conclusions to a broader population. The selection criteria can be explicit or implicit, influencing the composition of the group being studied.
Self-selected meaning with examples
- The study's findings were limited because it was based on a self-selected sample of online gamers. These individuals, already interested in gaming, may not accurately represent the general population's attitudes toward video games. The results needed careful interpretation and could not be broadly generalized.
- To assess volunteer participation, the organization relied on a self-selected group from among their members. The group was actively engaging, not randomly chosen, so those who did not step forward were excluded from assessment. The study, therefore, can't say anything about inactive participants.
- The educational program's participants were self-selected based on their expressed interest in the subject matter. This creates a built-in bias because students already enjoy the program's subject matter. Their feedback may not reflect the experience of those who were less enthusiastic about the subject.
- When the project asked for reviewers, the participants were a self-selected group of experts who have a particular interest in the field. They have experience and specific knowledge, which provides valuable insights. However, they may not be fully representative.
- The online survey attracted a self-selected group who were interested in the topic. This created an initial selection bias, as only people invested in the topic participated. The resulting data may not show the opinion of those not already invested in the issue.