AP PSYCHOLOGY

Detailed explanation-1: -The best way to avoid sampling bias is to conduct 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 your study.

Detailed explanation-2: -Such samples must be representative of the chosen population studied. They must be randomly chosen, meaning that each member of the larger population has an equal chance of being chosen. They must be large enough so as not to skew the results.

Detailed explanation-3: -Stratified sampling In this method, the population is first divided into subgroups (or strata) who all share a similar characteristic. It is used when we might reasonably expect the measurement of interest to vary between the different subgroups, and we want to ensure representation from all the subgroups.

Detailed explanation-4: -Simple Random Sampling To prevent sampling bias and obtain a representative sample, a sample should be selected using a probability-based sampling design which gives each individual a known chance of being selected. The most common probability-based sampling method is the simple random sampling method.