In: Nursing
what is the impact of field notes, researcher bias, and member checking in the assessment and analysis of data.
There are many factors affecting the analysis of data
* Impact of field notes : Field notes are commonly used in qualitative research. where the researcher observes and document the findings. It provides exact facts, numbers, details of what happened at site. This also gives personal responses and expressions of the sample. When the data collected from field study analysed, it helps the reasercher to understand the facts in details. The researcher itself experiences the changes or responses from the sample at the site it makes data analysis easy as well s more productive. In field study researcher can clarify points and clear misunderstandings it also helps in better assessment and analysis of data. Proper analysis can result in an accurate findings.
Researcher bias and members checking: Researcher bias emerges from the errors resulted intentionaly or unintentionaly by the researcher or scientists.Those who analyse the data after being collected also can manipulate the assessment and result. Therefore these factors should be kept in mind and avoided to prevent misinterpretation of the data. These bias can occur at any stage of research. Bias can cause estimates of results to be larger or smaller than the true findings. If the bias are not identified and removed it makes the data analysis in to wrong result. members of the team also trained and competent to do assessment and analysis. Qualified staffs are necessary for the correct interceptation of findings. Content analysis requires necessary skills to demonstrate high standard of research practice. Thus makes the research productive.