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. Data analysis is less time-consuming and can often be done using statistical software.
Results can be generalized if the data are based on random samples and the sample size was sufficient. Data collection methods can be relatively quick, depending on the type of data being collected.
Numerical quantitative data may be viewed as more credible and reliable, especially to policy makers, decision makers, and administrators. How often do college students between the ages of access Facebook? What is the difference in the number of calories consumed between male and female high school students? What percentage of married couples seek couples counseling? How many organized sports activities has the average 10 year old child competed in?
Planning, conducting, and evaluating quantitative. Qualitative, quantitative, and mixed methods approaches. Basics of social research. Also, contexts, situations, events, conditions, and interactions cannot be replicated to any extent nor can generalizations be made to a wider context than the one studied with any confidence. The time required for data collection, analysis and interpretation are lengthy. Analysis of qualitative data is difficult and expert knowledge of an area is necessary to try to interpret qualitative data, and great care must be taken when doing so, for example, if looking for symptoms of mental illness.
Because of close researcher involvement, the researcher gains an insider's view of the field. This allows the researcher to find issues that are often missed such as subtleties and complexities by the scientific, more positivistic inquiries.
Qualitative descriptions can play the important role of suggesting possible relationships, causes, effects and dynamic processes.
Qualitative research uses a descriptive, narrative style; this research might be of particular benefit to the practitioner as she or he could turn to qualitative reports in order to examine forms of knowledge that might otherwise be unavailable, thereby gaining new insight. Quantitative research gathers data in a numerical form which can be put into categories, or in rank order, or measured in units of measurement. This type of data can be used to construct graphs and tables of raw data.
Research is used to test a theory and ultimately support or reject it. Experiments typically yield quantitative data, as they are concerned with measuring things. However, other research methods, such as controlled observations and questionnaires can produce both quantitative information.
For example, a rating scale or closed questions on a questionnaire would generate quantitative data as these produce either numerical data or data that can be put into categories e. Experimental methods limit the possible ways in which a research participant can react to and express appropriate social behavior. Findings are therefore likely to be context-bound and simply a reflection of the assumptions which the researcher brings to the investigation.
Statistics help us turn quantitative data into useful information to help with decision making. We can use statistics to summarise our data, describing patterns, relationships, and connections.
Statistics can be descriptive or inferential. Descriptive statistics help us to summarise our data whereas inferential statistics are used to identify statistically significant differences between groups of data such as intervention and control groups in a randomised control study.
Quantitative experiments do not take place in natural settings. In addition, they do not allow participants to explain their choices or the meaning of the questions may have for those participants Carr, Poor knowledge of the application of statistical analysis may negatively affect analysis and subsequent interpretation Black, Variability of data quantity: Large sample sizes are needed for more accurate analysis.
Small scale quantitative studies may be less reliable because of the low quantity of data Denscombe, This also affects the ability to generalize study findings to wider populations. The researcher might miss observing phenomena because of focus on theory or hypothesis testing rather than on the theory of hypothesis generation. Sophisticated software removes much of the need for prolonged data analysis, especially with large volumes of data involved Antonius, Quantitative data is based on measured values and can be checked by others because numerical data is less open to ambiguities of interpretation.
Hypotheses can also be tested because of the used of statistical analysis Antonius, Doing quantitative research in the social sciences: An integrated approach to research design, measurement and statistics. Using thematic analysis in psychology. Qualitative Research in Psychology , 3, 77— The strengths and weaknesses of quantitative and qualitative research: Journal of advanced nursing, 20 4 , The Good Research Guide: Handbook of Qualitative Research.
The discovery of grounded theory; strategies for qualitative research. Nursing research, 17 4 ,
Qualitative Methods Quantitative Methods Methods include focus groups, in-depth interviews, and reviews of documents for types of themes.
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.
Quantitative research is deductive and hinges on the presence of a hypothesis, which is identified before research begins. Qualitative research is inductive and does not require a hypothesis in order to start the research process. Research methods are split broadly into quantitative and qualitative methods. Which you choose will depend on your research questions, your underlying philosophy of research, and your preferences and skills. Our pages Introduction to Research Methods and Designing Research set out some of the issues about the underlying philosophy.
Qualitative Research Definition: Qualitative research is a market research method that focuses on obtaining data through open-ended and conversational communication. This method is not only about “what” people think but also “why” they think so. The qualitative research method allows for in. Quantitative research methods describe and measure the level of occurrences on the basis of numbers and calculations. Moreover, the questions of “how many?” and “how often?” are often asked in quantitative studies. Accordingly, quantitative data collection methods are based on numbers and mathematical calculations.