Sunday, April 14, 2019
Sampling and Data Collection in Research Essay Example for Free
Sampling and Data Collection in Research EssaySampling is integrity of many ways to conduct research in man service. It consist of superstar or more elements readed from a population. The manner in which we select elements for the sample has enormous implications for the scientific utility of the research establish on that sample (Monette, Sullivan, DeJong, 2011). In order to select a fair sample, you must first settle down what population you want to get the sample from. If you be not able to retrieve a good sample it can result in inaccurate conclusion. A major reason for studying samples kind of than whole crowds is that the whole host is so large that studying it is not feasible (Monette, Sullivan, DeJong, 2011). For example, if a human service worker wants to learn nearly pregnant women or some other large multitude of people it may be hard to study everyone in this group. Another reason for sampling is the breeding is more accurate from c arfully drawn samp les, than it would be if you studied the whole group. There are both types of sampling, luck and non-prob efficiency.Probability sampling is a method of sampling that utilizes some form of random extract (Trochim, 2006). This means that the samples are retrieved in a process that gives everyone in the population an equal chance of macrocosm selected. There are five different methods of probability sampling which are simple random sampling, stratify sampling, systematic sampling, area sampling and estimating sample size. An example of probability sampling is when the telephone surveys randomly select people to call in order to take the survey. Non-Probability sampling is when the researcher does not know the probability of each population elements inclusion in the sample (Monette, Sullivan, DeJong, 2011).There are also five methods of nonprobability which are availability sampling, snowball sampling, quotasampling, purposive sampling, and dimensional sampling. An example for non -probability sampling is conducting research on a oldtimer who is suffering from PTSD and want specific answers. Studying all veterans who suffer from PTSD would be demanding so instead research can be conducted on individuals. If a researcher wants to know about a veteran who suffers from PTSD because of personal trauma instead of PTSD from deployment, non-probability sampling can be conducted.When selecting samples for human service research you should avoid being bias. stroke is defined as any temperament which prevents unprejudiced consideration of a question. In research bias occurs when Systematic error is introduced into sampling or testing by selecting or encouraging one outcome or answer over others. Bias can occur at any phase of research including study design or info collection, as hearty as in the process of selective information analysis and publication (Pannucci MD, Wilkins MD MS, 2010). In order to avoid being bias researchers can make sure that the method tha t they are victimisation will help eliminate sources of bias.Randomization can also help because it will provide the group that has been selected with the same chances of being influenced by the exact same bias. Data Collection There are quaternion levels of bill which are nominal, ordinal, interval, and ratio. Nominal measurement is basically categorizing the information or data that is retrieved like sex, ethnicity, and religion. ordinal number measurement is used to rank the information or data collected in order. Interval measurement is using a numerical subdue to measure in intervals. Last but not to the lowest degree ration measurement has all the characteristics of interval measurement but with zero point as an absolute.In research reliability and Validity is used which is categorized as scales of measurement. Reliability refers to a measure ability to yield consistent result each time it is applied (Monette, Sullivan, DeJong, 2011). For example you number yourself on a scale one day and it reads that you weigh 175 pounds. The next day and the day after that you do the same thing and again the scale reads that you weigh 175 pounds. The scale is reliable because it shows the same burden every day. Validity refers to the accuracy of a measure (Monette, Sullivan, DeJong, 2011). For example the scalemight read that you weigh 175 everyday which makes it reliable but you might weigh 200 pounds which does not make the scale valid. It is important that ensure that data collection methods and instruments are both reliable and valid because if they are not the data you retrieve may be incorrect.There are several methods on how we can gather data like conducting telephone surveys, online surveys, surveys via websites and focus groups. Every type of procedure has corresponding advantages and disfavors. For example, telephone surveys are cheaper and quicker. However, quicker is not always better because using telephone surveys involves shorter period of time, meaning less data is gathered. Telephone surveys also convey no visual contact, which means that you cannot observe the person thats fetching the survey.Online surveys and surveys via website advantages are that they are cheaper, can get results quickly, and you can gather information from anywhere around the world. The disadvantage of internet surveys is not many people would choose to take the time to complete an online survey. Focus groups have an advantage because you can gather data from a large number of people at one time but the disadvantage is that it can be time consuming and the information gathered may be hard to evaluate. If I had to collect data depending on these types of surveys, I would prefer focus group because I would be able to see the group of people I would be interviewing as well as gain insight of the people in the focus group.ReferencesMonette, D. R., Sullivan, T. j., DeJong, C. R. (2011). Applied kind Research. A wight for the Human Services (8t h Ed.). Retrieved from The University of Phoenix eBook Collection database. Pannucci MD, C. J., Wilkins MD MS, E. G. (2010, August). Identifying and Avoiding Bias in Research. Plast Reconstr Surg, 126(2), 619-625.Trochim, W. M. (2006). Web Center for Social Research Methods. Retrieved from http//www.socialresearchmethods.net/kb/sampprob.php
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