Sampling and Data Collection in Research
Sampling and Data Collection in Research Paper
Sampling and data collection is made up of many things and is used in many things. The one main thing is research and in research it helps to obtain information about groups or individuals without being bias. Along with the research, making sure that it is valid and reliable is very important and knowing the ways that research can be done surveys via online or telephone. The purpose of sampling is that if a researcher decides to research a group, a group can be very large that the information obtained may not be completely accurate. A researcher can get better information by breaking down the groups into smaller groups and researching them (Monette, 2011). An example of sampling in this case is the large group would be people with PTSD and it can be broken down smaller like researching veterans with PTSD. By breaking the group down for sampling, the data can be obtained more quickly and it is a feasible way of collection. There are types of sampling called probability and nonprobability. Probability sampling is basically randomly picking information, whereas nonprobability sampling is not randomly selecting information. A type of probability sampling is simple random sampling is when the population that is being researched is treated equally as a whole. An example of this is researching a group of college students. A type of nonprobability is snowball sampling which is taking one case of study and that case leads into more cases of study (Monette, 2011). An example of snowball sampling is child abuse because that can lead to more cases not found. When it comes to bias the way to avoid it in research and sampling is to make sure that inclusion of all races, cultures, and sexes are provided when picking areas of sampling. On top of sampling there is data collection in research. Data collection is also known as the scales of measurement in research. The scales of
Sampling and data collection is made up of many things and is used in many things. The one main thing is research and in research it helps to obtain information about groups or individuals without being bias. Along with the research, making sure that it is valid and reliable is very important and knowing the ways that research can be done surveys via online or telephone. The purpose of sampling is that if a researcher decides to research a group, a group can be very large that the information obtained may not be completely accurate. A researcher can get better information by breaking down the groups into smaller groups and researching them (Monette, 2011). An example of sampling in this case is the large group would be people with PTSD and it can be broken down smaller like researching veterans with PTSD. By breaking the group down for sampling, the data can be obtained more quickly and it is a feasible way of collection. There are types of sampling called probability and nonprobability. Probability sampling is basically randomly picking information, whereas nonprobability sampling is not randomly selecting information. A type of probability sampling is simple random sampling is when the population that is being researched is treated equally as a whole. An example of this is researching a group of college students. A type of nonprobability is snowball sampling which is taking one case of study and that case leads into more cases of study (Monette, 2011). An example of snowball sampling is child abuse because that can lead to more cases not found. When it comes to bias the way to avoid it in research and sampling is to make sure that inclusion of all races, cultures, and sexes are provided when picking areas of sampling. On top of sampling there is data collection in research. Data collection is also known as the scales of measurement in research. The scales of
References: Monette, D., Sullivan, T.J., & DeJong, C.R.(2011). Applied Social Research (8th ed.). Retrieved from The University of Phoenix eBook Collection database.