A Basic Introduction — Following is a link to a Slideshare presentation that offers and overview to quantitative research and data. Strengths and Weaknesses of Quantitative Research — This link provides lists of the strengths and weaknesses of quantitative research.
Research Methods — This resource describes the basic characteristics of quantitative research and gives an overview of methodologies, as well as a comparison with qualitative research. Qualitative and Quantitative Research — The link below contains a chart that describes the characteristics of quantitative research and compares them the characteristics of qualitative research.
This pin will expire , on Change. This pin never expires. Select an expiration date. About Us Contact Us. Search Community Search Community. An Overview of Quantitative Research This modules provides a basic overview of quantitative research, including its key characteristics and advantages. Describe the uses of quantitative research design. Provide examples of when quantitative research methodology should be used.
Discuss the strengths and weaknesses of quantitative research. The data collected is numeric, allowing for collection of data from a large sample size. Statistical analysis allows for greater objectivity when reviewing results and therefore, results are independent of the researcher.
Numerical results can be displayed in graphs, charts, tables and other formats that allow for better interpretation. Quantitative methods are an integral component of the five angles of analysis fostered by the data percolation methodology,  which also includes qualitative methods, reviews of the literature including scholarly , interviews with experts and computer simulation, and which forms an extension of data triangulation.
Quantitative methods have limitations. These studies do not provide reasoning behind participants' responses, they often do not reach underrepresented populations, and they may span long periods in order to collect the data. Statistics is the most widely used branch of mathematics in quantitative research outside of the physical sciences, and also finds applications within the physical sciences, such as in statistical mechanics.
Statistical methods are used extensively within fields such as economics, social sciences and biology. Quantitative research using statistical methods starts with the collection of data, based on the hypothesis or theory. Usually a big sample of data is collected — this would require verification, validation and recording before the analysis can take place. Causal relationships are studied by manipulating factors thought to influence the phenomena of interest while controlling other variables relevant to the experimental outcomes.
In the field of health, for example, researchers might measure and study the relationship between dietary intake and measurable physiological effects such as weight loss, controlling for other key variables such as exercise.
Quantitatively based opinion surveys are widely used in the media, with statistics such as the proportion of respondents in favor of a position commonly reported. In opinion surveys, respondents are asked a set of structured questions and their responses are tabulated.
In the field of climate science, researchers compile and compare statistics such as temperature or atmospheric concentrations of carbon dioxide.
Empirical relationships and associations are also frequently studied by using some form of general linear model , non-linear model, or by using factor analysis. A fundamental principle in quantitative research is that correlation does not imply causation , although some such as Clive Granger suggest that a series of correlations can imply a degree of causality. This principle follows from the fact that it is always possible a spurious relationship exists for variables between which covariance is found in some degree.
Associations may be examined between any combination of continuous and categorical variables using methods of statistics. Views regarding the role of measurement in quantitative research are somewhat divergent. Measurement is often regarded as being only a means by which observations are expressed numerically in order to investigate causal relations or associations. However, it has been argued that measurement often plays a more important role in quantitative research. This is because accepting a theory based on results of quantitative data could prove to be a natural phenomenon.
He argued that such abnormalities are interesting when done during the process of obtaining data, as seen below:. In classical physics, the theory and definitions which underpin measurement are generally deterministic in nature.
In contrast, probabilistic measurement models known as the Rasch model and Item response theory models are generally employed in the social sciences. Psychometrics is the field of study concerned with the theory and technique for measuring social and psychological attributes and phenomena.
This field is central to much quantitative research that is undertaken within the social sciences. Many mistakenly think the two terms can be used interchangeably.
So what is the difference between Qualitative Research and Quantitative Research? Qualitative Research is primarily exploratory research. It is used to gain an understanding of underlying reasons, opinions, and motivations. It provides insights into the problem or helps to develop ideas or hypotheses for potential quantitative research.
Qualitative Research is also used to uncover trends in thought and opinions, and dive deeper into the problem. Qualitative data collection methods vary using unstructured or semi-structured techniques.
The sample size is typically small, and respondents are selected to fulfil a given quota. Quantitative Research is used to quantify the problem by way of generating numerical data or data that can be transformed into usable statistics. It is used to quantify attitudes, opinions, behaviors, and other defined variables — and generalize results from a larger sample population.
Quantitative Research uses measurable data to formulate facts and uncover patterns in research. Quantitative data collection methods are much more structured than Qualitative data collection methods. Quantitative data collection methods include various forms of surveys — online surveys, paper surveys , mobile surveys and kiosk surveys, face-to-face interviews, telephone interviews, longitudinal studies, website interceptors, online polls, and systematic observations.
Snap has many robust features that will help your organization effectively gather and analyze quantitative data. While defining quantitative and qualitative research based on their uses and purposes may be considered a practical approach for researcher, the difference actually lies on their roots: Procedures, designs, concepts, purposes and uses emanate from there.
Quantitative Research Definition: Quantitative research, in marketing, is a stimulating and highly educational technique to gather information from existing and potential customers using sampling methods and sending out online surveys, online polls, questionnaires etc., the results of which can be.
Characteristics of Quantitative Research. Your goal in conducting quantitative research study is to determine the relationship between one thing [an independent variable] and another [a dependent or outcome variable] within a population.
Many times those that undertake a research project often find they are not aware of the differences between Qualitative Research and Quantitative Research methods. Many mistakenly think the two terms can be used interchangeably. What is quantitative research? Research methods in education (and the other social sciences) are often methods. The last part of the definition refers to the use of mathematically based methods, in particular statistics, to analyse the data. would seem that quantitative and qualitative research methods are pretty incompatible. These.
One of the more common and popular methods of quantitative research is the experimental design. When using this design or method, the researcher would generally include two groups of people: the. Quantitative methods emphasize objective measurements and the statistical, mathematical, or numerical analysis of data collected through polls, questionnaires, and surveys, or by manipulating pre-existing statistical data using computational techniques. Quantitative research focuses on gathering.