Quantitative Research Studies

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Research is a process to discover new knowledge. A systematic investigation or the gathering and analysis of information designed to develop or contribute to generalizable knowledge. The object of research is to extend human knowledge of the physical, biological, or social world beyond what is already known.

In the case study the method that has been used are:

• Quantitative - based on the methods used in the natural sciences. For example: via emails or postal. In this case study the qualitative are applied in this case study. The quantitative methods that has been used are email. Quantitative research is based on quantitative data. It is applicable to situations that can be expressed in terms of quantity.
• Qualitative -
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People look at the world around them, and talk with other people about what they see, trying to understand what is going on. They build a “theory” or a “model” about how things work.

IV. There are many kinds of classification of research which are classified according to their distinctive features. Some of the classifications are as follows:

• Discriptive and Analytical Research: descriptive research studies are designed primarily to describe what is going on or what exist. In analytical studies the researchers analyzies the available facts and information and make a critical evaluation.
• Quantitative and Qualitative Research: Quantitaive research is based on quantitative data. It is applicable to situations that can be expressed in terms of quantity. Qualitative research is concerned with subjective assessment of attitidues,opinions and behavior.
• Conceptual and Empherialical Research: Conceptual researchis relation to some abstract ideas or theory.It is generally used to develop new concepts and theories or to reintrepet the exiating one. Empherical relies on experience or observation alone, often without regard for a theory it is databased research.
• Performance Monitory is a types of classification too.

I. What is
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These can include assigning numbers to all subjects and then using a random number generator to choose random numbers. Classic ball and urn experiments are another example of this process (assuming the balls are sufficiently mixed). The members whose numbers are chosen are included in the sample.
Stratified Random Sampling involves splitting subjects into mutually exclusive groups and then using simple random sampling to choose members from groups.
Systematic Sampling means that you choose every “nth” participant from a complete list. For example, you could choose every 10th person listed.
Cluster Random Sampling is a way to randomly select participants from a list that is too large for simple random sampling. For example, if you wanted to choose 1000 participants from the entire population of the U.S., it is likely impossible to get a complete list of everyone. Instead, the researcher randomly selects areas (i.e. cities or counties) and randomly selects from within those boundaries.

Non-probability Sampling: Non-probability sampling techniques use non-random processes like researcher judgment or convenience
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