The only way to get rid of sampling error is to use the entire population under study. This is usually impossible, so the next best thing is to use large samples and good sampling methods.
Dan M. Guy has written: 'Wiley Practitioner's Guide to Gaas 2000' 'An introduction to statistical sampling in auditing' -- subject(s): Statistical methods, Auditing, Sampling (Statistics) 'Ethics for CPAs , Meeting Expectations In Challenging Times' 'Auditing/Study Guide' 'Practitioner's guide to audit sampling' -- subject(s): Statistical methods, Auditing, Sampling (Statistics)
Methodological rigor refers to the thoroughness and precision in the design, conduct, and reporting of scientific research. It involves using systematic and well-defined methods to ensure the validity, reliability, and reproducibility of study findings.
you can use sampling when your population under study is large, expensive and time time consuming to study.... in a nut shell, when studying entire population is expensive we go for sampling...
Secondary data may not answer fully answer the research questions of a study. It is also hard to establish its validity, and if proper sampling and data collection methods were employed.
The best way to reduce sampling error is to use random sampling in the study. This means selecting the population to study through a random process. This will ensure that each member of the population under study has an equal chance of being selected.
cluster sampling, quota sampling, systematic sampling, stratified random sampling which one is correct?
The major source of sampling error is sampling bias. Sampling bias is when the sample or people in the study are selected because they will side with the researcher. It is not random and therefore not an adequate sample.
Sampling error occurs when the sampling protocol does not produce a representative sample. It may be that the sampling technique over represented a certain portion of the population, causing sample bias in the final study population.
Sociologists use scientific methods in their investigations to ensure objectivity, reliability, and replicability of their findings. This approach allows sociologists to gather empirical evidence, test hypotheses, and draw valid conclusions about social phenomena. Scientific methods also help researchers to minimize bias and ensure that their work meets the standards of academic rigor.
The answer will depend on which study!
To avoid sampling error, you should ensure that your sample is representative of the population, use random sampling techniques, increase the sample size when possible, and use stratified sampling if your population can be divided into subgroups. Additionally, verify the reliability of your data collection methods to minimize errors.