Children With Autistic Spectrum Disorder

Non-Probability Sample - is a process when samples are gathered in a way where everyone do not have an equal chance to be selected. . I am going to sit in the lobby of the dormitories, A. A. Branch, Renner, Berkshire, and New Women, to pass out surveys to the first 20 students in each dorm that pass by and voluntary want to take it.

added to the limitations of the method. It could be argued that random sampling would provide a

Luker describes sampling through canonical social science research as a “systemic random probability sample”, with the goal of producing results that can then be apply and a general way. For example, with a research question that focuses on voting in a election, A canonical social science research question may trying to determine how many voters are expected to vote a certain way in a election. By using randomly sampling a certain number of voters could be surveyed the result can provide a general description of the voting trend of an entire populations with similar characteristic as the sample group. While I agree with Luker that sampling is important to both canonical qualitative and qualitative social science research, in the case of qualitative research, the word has different meaning.

According to Acharya, Prakash, Saxena, and Nigam (2013), sampling designs are classified into two categories: probability sample and non-probability sample. Probability sampling aids in the generalizability of the results because individuals in the population have an equal chance of being selected to participate in the study (Acharya et al., 2013). With the non-probability sampling method, every individual does not have the same chances of being included (Frankfort-Nachmias, & Nachmias,

Explain each sampling technique discussed in the “Visual Learner: Statistics” in your own words, and give examples of when each technique would be appropriate.

Theoretical sampling, this involves data collection for comparative analysis (Glaser & Strauss 1967). The collected data then gives insights and the analysis leads to further data collection and analysis.

f) The name of each contestant is written on a separate card, and the cards are placed in a bag with three names being picked from the bag. What type of sample is this and why? Each member of the contestant population has an equal chance of being picked from the bag (Bennett, Briggis, & Triola, 2009). This is a simple random sampling.

C) What type of sampling method (name the method and define it) would you use to collect data to answer your question, and why?

Random sampling: Operates on the principle that everybody should have an equal chance of being selected as part of the sample. This is significant because it ensures everyone has the same opportunity of being represented in a poll.

Lind, D. A. (2005). Statistical Techniques in Business & Economics (12 ed.). New York: The

Random Sample: A sample in which every “person of interest” has an equal chance of being selected into your research study.

Another randomly selected number from 1 to 25 is chosen to be the interval value n. Each sample contains the first member and each subsequent nth survey until the sample size is reached. This method is simple; each survey response is given an equal probability of being selected, and the whole population of surveys will be evenly sampled.

First, the researcher must select various groups or clusters, and then from each cluster, the researcher begins to choose the individual subjects by either simple random or systematic random sampling. The researcher can even opt to include the entire cluster and not just a subset from it depending on the design study they have chosen.

-The sampling distribution is a distribution of the results if all possible samples are selected, where as a population distribution is the distribution of a particular variable of interest.

According to Hair et al. (2003), in the research, the sampling process enables identifying, developing and understanding an interested object that need to be determined (p.333). Hence, in order for the researcher to carry out the sampling appropriately, advantages and disadvantages of the various sampling methods should be considered along with the theoretical component of the study (Hair et al. 2003, p. 368 f). Theoretically, the sampling procedure is divided into two major types which consist of probability and nonprobability sampling. In probability sampling, individuals have a known chance of being selected. While, in non-probability sampling, individuals do not have a known possibility to be selected (Sekaran 2003, p. 269 f). Also, the different sampling methods provide different advantages and disadvantages. Hence, the researcher should consider this point before choosing the sampling method for the