What is sampling strategy in Archaeology?
Sampling is a strategy that an archaeologist uses to investigate a region, site, or set of artifacts. A proper strategy allows her to gain a critical understanding of her data while preserving a subset for future research. Sampling strategies need to incorporate both random and representative techniques.
Which of the following is a sampling strategy used by archaeologists?
Archaeologists use a variety of methods to find and/or test sites, they are: systematic sampling, random sampling, and judgmental sampling.
What are the 4 types of sampling strategies?
Four main methods include: 1) simple random, 2) stratified random, 3) cluster, and 4) systematic. Non-probability sampling – the elements that make up the sample, are selected by nonrandom methods. This type of sampling is less likely than probability sampling to produce representative samples.
What are the survey methods in archeology?
In order to locate and record sites in the landscape, archaeologists rely on survey or reconnaissance methods. These may be conveniently divided into three categories: aerial surveys, surface surveys, and subsurface testing. All share certain basic parameters.
What is probabilistic sampling in Archaeology?
Probabilistic sampling is used when it is necessary to have a representative sample of the sites in a region (the “sample universe”), but it is possible to sample only a small percentage of the whole.
What is systematic sampling in Archaeology?
Systematic sampling, is when you come up with a system for sampling. You essentially make a grid of equally spaced locations to sample. You can say like, every other square, or every two squares.
What is a systematic survey in Archaeology?
This is an investigation employed to systematically gather data on the general presence or absence of archaeological resources, to define resource types, or to estimate the distribution of resources in an area.
How is sampling done in quantitative research?
A researcher divides a study population into relevant subgroups then draws a sample from each subgroup. A researcher begins by sampling groups of population elements and then selects elements from within those groups. A cluster sampling technique in which each cluster is given a chance of selection based on its size.
How is surface survey important in archaeological research?
Archaeologists conduct surveys to search for particular archaeological sites or kinds of sites, to detect patterns in the distribution of material culture over regions, to make generalizations or test hypotheses about past cultures, and to assess the risks that development projects will have adverse impacts on …
What is site survey in Archaeology?
Survey, or the discovery and recording of archaeological sites or other human-created features, such as roads and irrigation systems, is usually the first phase of archaeological research.
What are the types of sampling?
There are two types of sampling methods: Probability sampling involves random selection, allowing you to make strong statistical inferences about the whole group….There are four main types of probability sample.
- Simple random sampling.
- Systematic sampling.
- Stratified sampling.
- Cluster sampling.
What kind of sampling is used in quantitative research?
Researchers focus on the specific techniques that will yield highly representative samples (i.e., samples that are very much like the population). Quantitative researchers tend to use a type of sampling based on theories of probability from mathematics, called probability sampling.
When to use non probabilistic sampling in archaeology?
Non-probabilistic sampling is used when the archaeologist is most interested in already visible or suspected sites and does not need to sample elsewhere.
When do quantitative researchers rely on nonprobability samples?
While there are certainly instances when quantitative researchers rely on nonprobability samples (e.g., when doing exploratory or evaluation research), quantitative researchers tend to rely on probability sampling techniques. The goals and techniques associated with probability samples differ from those of nonprobability samples.
When do you use a stratified sampling technique?
In cases such as this, where the sampling frame is cyclical, it would be better to use a stratified sampling technique A researcher divides the study population into relevant subgroups then draws a sample from within each subgroup.