Question

using examples compare and contrast the SAMPLING strategies of quantitative versus qualitative tesrarch designs. Describe some advantage and disadvantages of each .

please give references and in-text citations

Answer 1

Ans.

Qualitative research gathers data that is free-form and non-numerical, such as diaries, open-ended questionnaires, interviews and observations that are not coded using a numerical system. On the other hand,

quantitative research gathers data that can be coded in a numerical form.

sampling strategies --

The strategy is the plan you set forth to be sure that the sample you use in your research study represents the population from which you drew your sample. ... Types of sampling include convenience, accidental, snowball, quota sample, purposive sampling, simple random sampling and cluster sampling,.

There are four main types of probability sample.

• Simple random sampling. In a simple random sample, every member of the population has an equal chance of being selected. ...
• Systematic sampling. ...
• Stratified sampling. ...
• Cluster sampling.

quantitative sampling--

In quantitative studies we aim to measure variables and generalize findings obtained from a representative sample from the total population. ... The study population has to be clearly defined, for example, according to age, sex and residence.

Quantitative data is information about quantities; that is, information that can be measured and written down with numbers. Some examples of quantitative data are your height, your shoe size, and the length of your fingernails.

the quantitative sampling techniques-

These types of probability sampling technique include simple random sampling, systematic random sampling, stratified random sampling and cluster sampling. -The random sample is the purest form of probability sampling. Each member of the population has an equal and known chance of being selected.

Sampling in Qualitative Research--

In qualitative research, only a sample (that is, a subset) of a popula- tion is selected for any given study. The study's research objectives and the characteristics of the study population (such as size and diversity) determine which and how many people to select.

Some examples of qualitative data are the softness of your skin, the grace with which you run, and the color of your eyes. However, try telling Photoshop you can't measure color with numbers.

Advantages and disadvantages of each--

Quantitative Advantages

Controlled, objective testing and experimentation ultimately supports or rejects your hypotheses. Each step is standardized to reduce bias when collecting and analyzing data. A big advantage of this approach is that the results are valid, reliable and generalizable to a larger population.

Disadvantages of Quantitative Research

• False focus on numbers. Quantitative research can be limited in its pursuit of concrete, statistical relationships, which can lead to researchers overlooking broader themes and relationships. ...
• Difficulty setting up a research model. ...
• Can be misleading.

One of the significant advantages of the qualitative research method is that it creates a lot of potential data points which are usable to the social scientists. This process also creates a disadvantage which must be considered by researchers as well

Disadvantages of Qualitative Research?

• It is not a statistically representative form of data collection. ...
• It relies upon the experience of the researcher. ...
• It can lose data. ...
• It may require multiple sessions. ...
• It can be difficult to replicate results. ...
• It can create misleading conclusions.