RESEARCH METHODOLOGY

Detailed explanation-1: -A sampling error occurs when the sample used in the study is not representative of the whole population.

Detailed explanation-2: -Sampling bias is a type of survey bias that occurs when a research study does not use a representative sample of a target population. In other words, you gather data from a group in which some members of the intended population have a higher or lower sampling probability than others.

Detailed explanation-3: -What are some types of sampling bias? Some common types of sampling bias include self-selection bias, nonresponse bias, undercoverage bias, survivorship bias, pre-screening or advertising bias, and healthy user bias.

Detailed explanation-4: -Sampling bias is the phenomenon that occurs when a research study design fails to collect a representative sample of a target population. This typically occurs because the selection criteria for respondents failed to capture a wide enough sampling frame to represent all viewpoints.

Detailed explanation-5: -Use Simple Random Sampling One of the most effective methods that can be used by researchers to avoid sampling bias is simple random sampling, in which samples are chosen strictly by chance. This provides equal odds for every member of the population to be chosen as a participant in the study at hand.