What are the best tips for quality data collection?

Qualitative data collection has the potential to cause problems such as the interviewer's bias and misleading questions. Since quality data collection methods include focus groups, interviews and observations, information can be difficult to interpret. A certain level of training is important for data collectors and for participants. Case studies, personal documents and interviews with highly specialized individuals may be other ways to collect quality data. Although the collector only observes a focus group, it may be difficult for him to see the group objectively or from a perspective other than his own. The fact that the questions can be open can add to the ambiguity of the data. Participants may also wrongly interpret the intention of questions or answer them from a slightly beveled understanding. Vioral observation or focus group is important that participants feel comfortable. It is known that the answers are incomplete or inaccurate when participants feel that there is a possibility of retribution for honesty. RespectThe Ondenti survey should be well informed about this process and understand that they give their voluntary permission. Many qualitative research studies acquire respondents' signatures and at the same time inform them about the possible video or audio tape.

The way to reduce quality data collection errors is to record the responses of survey participants. Sometimes it is useful to let more than one collector go through answers to reduce individual bias and interpretation. The questions that participants should be formulated by a wording that is not confusing, guidance or stunning. Although the qualitative approach tends to be open and somewhat non -sprayed, asking specific, universal questions can help ensure more accurate and quantifiable answers.

interviews should perform those that can maintain a neutral approach and perspective. It may be necessary to train interviewers in how to maintain neutralTactics. Even those who observe the participants of the study may have to be trained to simply record the answers as it is without putting a personal opinion. It may be useful to check potential interviewers before studying for extreme distortion.

One of the factors in quality data collection is costs. Observatory studies and interviews are more expensive than investigating case studies or personal documents. Occasionally, it is more effective to collect public records and explore through previously written first -person accounts. The main advantage is that these types of resources have already been assembled and the only necessary thing is interpretation.