What are qualitative and quantitative research methods1,2
While conducting research for a study, authors undertake different types of research methods depending on their research question and the study type. These research methods are of two types—qualitative and quantitative.
Qualitative research is the process of collecting, analyzing, and interpreting non-numerical data. This method uses reasoning and focuses on the validity rather than the reliability of the results. The observations of this research are expressed in words and help in understanding individuals’ subjective perception about an event, condition, or subject. This type of research is exploratory and is used to generate hypotheses or theories from data. Qualitative data are non-numerical, in the forms of text, videos, photographs, and audio recordings.
Quantitative research is the process of collecting and analyzing numerical data to describe, predict, and control the variables of interest. The results are expressed in numbers and graphs and help in testing the causal relationships between variables, making predictions, and generalizing results. This research is used for testing a theory and then approving or rejecting it based on the results.
Before starting their research process, researchers should understand the different types of research methods to decide the best method for their study type. Most studies use either the quantitative or qualitative method, but in some cases a mixed methods approach may be more useful.
Differences between qualitative and quantitative research1
The following table lists a few important differences between qualitative and quantitative research.
Parameter | Qualitative research | Quantitative research |
Purpose and design | Explore ideas, formulate hypotheses; more subjective | Test theories and hypotheses, discover causal relationships; measurable and more structured |
Data collection method | Semi-structured interviews/surveys with open-ended questions, document study/literature reviews, focus groups, case study research, ethnography | Experiments, controlled observations, questionnaires and surveys with a rating scale or closed-ended questions. The methods can be experimental, quasi-experimental, descriptive, or correlational. |
Data analysis | Content analysis (determine presence of certain words/concepts in texts), grounded theory (hypothesis creation by data collection and analysis), thematic analysis (identify important themes/patterns in data and use these to address an issue) | Statistical analysis using applications such as Excel, SPSS, R |
Sample size | Small | Large |
Example | A company organizing focus groups or one-to-one interviews to understand customers’ (subjective) opinions about a specific product, based on which the company can modify their marketing strategy | Customer satisfaction surveys sent out by companies. Customers are asked to rate their experience on a rating scale of 1 to 5 |
Data collection methods3
Qualitative research
Quantitative research
The quantitative data collection methods can be of the following designs5:
Quantitative research vs Qualitative research1
A few advantages and disadvantages of each research method are listed in the table below.
Advantages | Disadvantages | |
Qualitative research | Suggests associations, causes, and effects between parameters Allows for ambiguities in the data, reflects real-world conditions Uses a descriptive, narrative style | Large-scale data sets are not included because of time and cost constraints Validity and reliability may be a challenge because of the subjective nature of the data Replication by other researchers is difficult for the same contexts/situations Generalization to a wider context is not possible Time consuming |
Quantitative research | More scientific and rational approach Tests and validates constructed theories Statistical analysis software ensures quick analysis of large volumes of data Based on measured values, so it can be checked or replicated by other researchers | Experiments are conducted in controlled settings instead of natural settings Participants must give objective answers and the reasons for their selection are not considered Inadequate knowledge of statistical analysis methods may affect the results and their interpretation Large sample sizes are needed for more accurate analysis |
When to use qualitative, quantitative, or mixed methods
The type of research method to be selected depends on a few important criteria:
You could follow this simple rule of thumb:
Objective: To validate or test a theory or hypothesis => Method: Quantitative research
Objective: To understand a topic/event or identify reasons for observed patterns => Method: Qualitative research
A mixed methods approach draws on the strengths of both quantitative and qualitative research in the same study. This method allows researchers to corroborate their findings, verify if the results observed using both methods are complementary, and explain any unexpected results obtained from one method by the other method.3 However, do note that this method could be more effort- and cost-intensive because of the requirement of more resources. The figure above6 shows some basic mixed methods research designs that could be used.
To conclude, both quantitative and qualitative research methods comprise several constituent data collection and analysis methods, any of which could be used depending on the study type. We hope that this article has provided an insight into the differences between qualitative and quantitative research so that you could efficiently decide on the most appropriate method for your study.
References
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