¶ … Systematic Sampling, Convenience Sampling, Stratified Sampling, Cluster Sampling, Random Sampling, Ordinal Data, Nominal Data, Discreet Data, Continuous
Systematic Sampling: This is a method of statistical sampling in which the population is divided into certain intervals and a single point is picked at a given interval.
Convenience Sampling: This is a method in which the sampling technique is a function of the accessibility and proximity to the researcher. This type of sampling is advantageous because it can quickly gather data.
Stratified Sampling: This sampling method divides larger populations into smaller and easier to manage sub-populations. Once the stratified data has been identified, the researcher randomly chooses the final subjects that are in proportionate standing with the other subgroups.
Cluster Sampling: This type of sampling method requires the researcher to group divide his population into cluster or groups. Then clusters are randomly chosen as the selected population to gather data from.
Random Sampling: Random sampling requires the researcher to choose his population through unpredictable means. This randomness is induced to help diminish the researcher's inherent subjective bias towards the experiment.
Ordinal Data: Ordinal data is information that is specifically ordered in some fashion. The ordering is based on an arbitrary scale that holds no significance besides describing it's obvious qualities.
Nominal Data: Nominal data is information that is organized by name. There is no value in this type of data other than its descriptive use.
Discrete Data: Discrete data is information that needs specific beginning and ending points. Certainty is a required quality of this type of data. Discrete data is information that can be counted.
Continuous Data: Continuous data is information that can be taken from a scalar measurement. Continuous data can be recorded at many different points and can hold any numeric value.
2. Following are several variables. Which, if any, yield ordinal data? Explain your answer.
(a) height
(b) weight
(c) age
(d) sex
(e) number of siblings
(f) religion
(g) place of birth
(h) high-school class rank
3. Identify which type of sampling is used:
To avoid working late, a quality control analyst simply inspects the first 100 items produced in a day.
(a) Systematic
(B) Random
(C) Stratified
(D) Convenience
(E) Cluster
Sampling Plan Before discussing a sampling plan, there has to be clear and unambiguous definitions of what a sample and sampling are. Despite diversity in the definition of a sample, the best meaning is that a sample could be considered as a subset of a population, with which a researcher would like to use as participants in a given research study (Landreneau & Creek, 2012). According to Deming (1990), sapling is
Sampling Design There are a number of methods that can be effectively used to gather data in order to ascertain thesis or answer research questions. Determining which methodology to use is at the behest of the researcher and should be determined as part of the overall design of the study. In order to gather valid and reliable data, sampling methods such as cluster, quota, simple random, systematic, stratified, non-probability and probability,
Business Research Research into the legalization of marijuana will seek to determine what people's views on the issue are. The population is going to be the entire United States, as we are seeking to determine national views about the issue. The sampling will be done at random, using databases of phone numbers and computer-generated dialing. The operators will only know of and gather non-personal information such as age bracket, gender and
Bio-Statistics Research activities, whether clinical trial based, experimentally designed, or product oriented, must exhibit and command interest, enthusiasm, and passionate commitment. To this end the researcher must catch the essential quality of the excitement of discovery that comes from research well done. The first step in the attainment of the desired research goal is to develop a scientific approach toward that which is being investigated. A requirement within the scientific
Depending on what the particular needs are for a qualitative study, the samples should be small so that researchers can achieve data saturation, in which no new information is encountered so that redundancy occurs (Polit & Beck, 2008, p. 363). In comparison, quantitative studies are usually advantaged by larger samples that are more representative of a population. Developing a sample for a research study requires researchers to specifically tailor their
This means that the questionnaire may be designed with a thorough understanding of the processes within the company and the experience to which the customers of the company should be ideally exposed. The studio presently collects some information on the experience of their customers but this focuses predominantly on the customer's experiences on the day of their shoot. For example the questionnaire which is currently distributed to all customers asks
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