Forms of quantitative research
In addition, the importance of quantitative designs and the role they play in developing evidence-based practice are discussed. The groups are not pretested.
Causal-Comparative Research Causal-comparative research looks to uncover a cause and effect relationship.
Some of them encompass special focus groups, face-to-face communication and direct involvement or just observations.
The most commonly used types of polls are election polls and exit polls. Minimum bias: There are instances in research, where personal bias is involved which leads to incorrect results. Performing correlational research is done to establish what the affect of one on the other might be and how that affects the relationship.
Advantages of Quantitative Research There are many advantages of quantitative research. This research method involves the collection of quantitative data from existing data sources like the internet, government resources, libraries, research reports etc.
Types of qualitative and quantitative research
This approach is often used in survey research to facilitate generalization. Burns N, Grove SK. The answers you gain after your study may not correspond to the feelings of people concerning a matter in reality. Primary Quantitative Research Methods There are four different types of quantitative research methods: Primary quantitative research is the most widely used method of conducting market research. They are a storehouse of important information and documents from which information can be extracted. As the dependent and independent variables will always exist in a group, it is advised that the conclusions are carefully established by keeping all the factors in mind. Finally, it provides a conclusion to quantify the issue and realize how widespread it is by searching for forwarded results to an enormous number of people or population. That means the research focuses on verifiable observation as opposed to theory or logic. Non-experimental designs are often further classified according to timing of data collection, cross-sectional or longitudinal, or according to the timing of the experience or event being studied, retrospective or prospective 1,5. Statistical analysis is used to distinctly present the outcome of obtained using this quantitative research method. It can be difficult to establish a pattern in the raw data. The most common used quasi-experimental designs are: non-equivalent group pretest-posttest group design, control-group interrupted time series design, single-group interrupted time-series design, and counterbalanced design 1,6,9. Disadvantages of Quantitative Data Some of disadvantages of quantitative data, are: Restricted information: Because quantitative data is not descriptive, it becomes difficult for researchers to make decisions based solely on the collected information.
Text analysis: Text analysis is an advanced statistical method where intelligent tools make sense of and quantify or fashion qualitative and open-ended data into easily understandable data.
They can be distinguished into the four following distinctive methods, which are: 1.
Forms of quantitative research
Causal-Comparative Research: This research method mainly depends on the factor of comparison. Quantitative data: Usually, quantitative data is represented by tables, charts, graphs or any other non-numerical form. The answers you gain after your study may not correspond to the feelings of people concerning a matter in reality. Demo P. The results from correlational studies provide the means for generating hypotheses to be tested in quasi-experimental and experimental studies. There are four main types of probability sampling- Simple random sampling: As the name indicates, simple random sampling is nothing but a random selection of elements for a sample. Types of Quantitative Data with Examples The most common types of quantitative data are as below: Counter: Count equated with entities. Generalization of results: Results of this research method can be generalized to an entire population to take appropriate actions for improvement. In the case of a hypothesis the search for an explanation is made as a statement to be proved of disproved — depending on the goals of your research.
Random sampling means that each subject had an equal chance of being selected from a larger group to participate in the study.
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