Quantitative Research
Quantitative research can be described as a methodical research study of evident occurrences through a computational and mathematical or especially statistical data analysis tool to obtain logical, reliable, and impartial results. Accordingly, quantitative research is a formal, objective, and rigorous systematic process for generating information to describe concepts, events, and new situations while examining relationships between or among dependent and independent variables (something measurable and controllable that variate and alters while taking different values.).
Purpose and Utilization
The purpose of Quantitative research, according to Farnsworth (2019), is to develop hypotheses and, subsequently, theories on mathematically quantifiable or numerical data while utilizing statistical tools for interpretation and analysis of the collected data. That is why data analysis is progressed in tabulated and graphical form. Quantitative research is extensively used in social sciences research, such as community health, economics, education, gender studies, psychology, and sociology.
Quantitative Research Tools
Research tools are data collection tools like interviews, questionnaires, and observation, as well as pre and post-test/intervention tools. Closed-ended and structured interviews and questionnaires, as well as observations, are employed as quantitative research tools.
Interviews
Closed-ended and structured interview questions are developed as a research tool to get the sample’s limited responses about their perceptions and knowledge. Data, thus, collected for quantitative research consists of countable frequencies to be analyzed statistically.
Questionnaires
In questionnaire, closed-ended questions are used as a quantitative research tool to be administered to the sample respondents to be filled in on the spot or via internet sources like email or Whats App calls. Though there is the risk of not getting a maximum response from the sample yet, even than, it is a very cost-effective and impartial tool to be used. To make this tool effective, a pilot study can be conducted prior to the main research study.
Quantitative Research Types
The following are some of the quantitative research types, with short descriptions.
a. Descriptive Research (statistical research) – describes data and characteristics of the variables of a phenomenon.
b. Correlational Research – explores the statistical relationship between variables.
c. Experimental Research – explores the causal effective relationships between the variables in controlled environments.
d. Quasi-experimental Research – explores the causal effective relationships between the variables when the environment is not under control.
e. Survey Research – assess thoughts and opinions of the subjects (sample).
Qualitative Research
However, qualitative research can also be used in educational research. It is the research type that does not need any advanced statistical tools; rather, it depends on exploratory, non-numerical, and descriptive phenomena like exploration or inquisitive studies of human experiences and behaviors to develop an understanding of the prevailing issues via complete verbal portrayal and mean exploration about the current situations. Therefore, qualitative research type has proved itself the best in studying ‘Why and how’ broad questions regarding human experiences, making it an all-inclusive approach to answering questions (not needed hypotheses) — an acknowledgment that human realities are complex. Therefore, this research requires a high level of researcher involvement with subjects through strategies of participant observation and in-depth unstructured interviews.
Purpose and Utilization
In this way, this research type mainly aims at knowing the meaningful nature as well as dynamics of a specific situation under study. In addition, the choice of sampling and sampling strategies is influenced by the chosen unit of analysis, which may include individuals, communities, organizations, programs, genders, and different age groups within ethnic communities. A purposeful or judgement sampling technique is employed, where the desired role of informants (or communities) is determined, and efforts are made to locate suitable candidates. (Bernard, 2000, P.176). Key informants are particularly knowledgeable about the inquiry setting and articulate their knowledge. It is also important to mention here that in qualitative research, data analysis via coding for recurring themes and categories begins with data collection and its organization. Additionally, thick description is the foundation for qualitative analysis and reporting.
Qualitative Research Tools
Open-ended interviews, questionnaires, and observations were utilized as qualitative research tools. Here, the following are described:
In-depth Interviews
Open-ended questions are developed as a research tool to yield in-depth responses about people’s experiences, opinions, perceptions, feelings, and knowledge. Data, thus, consists of verbatim quotations with sufficient context to be interpretable.
Observations
Observation is a valuable qualitative research tool that allows for the collection of detailed descriptions of various aspects of human experience. It involves closely observing and documenting activities, behaviors, actions, conversations, interpersonal interactions, and organizational or community processes. The data comprises field notes that provide rich and detailed descriptions, including the context in which the observations were made.
Focus Group Discussions (FGD)
FGD is the qualitative tool for obtaining primary data in qualitative form. “Focus group discussions are a qualitative approach to gain an in-depth understanding of social issues from a group of people”. The method focuses on gathering data from a specific group of individuals rather than from a statistical sample that represents a larger population.
Qualitative Research Types
The following are qualitative traditions of inquiry with short descriptions.
a. Biography – Life history, oral history – When employing an interpretive technique, the writer must be able to integrate themselves into the story and express their point of view.
b. Phenomenology – The lived experience – describes the significance of the lived experience surrounding a concept or phenomenon for multiple individuals.
c. Grounded Theory – A systematic approach rooted in Symbolic Interactionism, suggests that individuals engage and communicate through symbols that hold significance and value for them.
d. Ethnography – A description and interpretation of a cultural or social group or system.
e. Case Study – Examining a “bounded system” or a case (or multiple cases) over time by gathering detailed, comprehensive data from various sources that provide valuable contextual information, which may be physical, social, historical, and/or economic.
Qualitative and Quantitative Data Analysis
Qualitative data analysis is different from quantitative analysis in several fundamental ways. It does not rely on mathematics or numbers in the same way as quantitative analysis. Sometimes qualitative researchers count a number of themes or the number of people for whom certain themes apply, and sometimes they use computer packages in a similar way to quantitative researchers for certain aspects of their work. Qualitative researchers analyze their data using logic and theoretical and methodological principles rather than applying statistical formulas or quantification. Thus qualitative data analysis is about interpretation rather than mathematics. It is about finding the meanings that people ascribe to their experiences. As they do not emphasize figures or calculations, qualitative researchers mainly use text and explanations to present their data instead of the charts and graphs that are typical of quantitative research results. In fact, qualitative researchers argue that it is one of the strengths of qualitative research that it does not have a set of rules for data analysis.
Major differences between Qualitative and Quantitative Data Analysis is discussed here;
- Qualitative analysis relies on interpretation and logic, whereas quantitative analysis relies on statistics.
- Qualitative researchers present their analysis using text and argument, whereas quantitative researchers use graphs and tables.
- Qualitative analysis has no set rules but rather guidelines, whereas quantitative analysis follows agreed-upon standardized procedures and rules.
- Qualitative analysis occurs simultaneously with data collection, whereas quantitative analysis occurs only after data collection is finished.
- Qualitative analysis may vary methods depending on the situation, whereas methods of quantitative analysis are determined in advance as part of the study design.
Qualitative and Quantitative Research Design
- Quantitative research designs are specific, well structured, and can be explicitly defined and recognized. In contrast, qualitative research designs are less specific and precise and do not have the same structural depth.
- Qualitative research design is based on deductive logic, while quantitative research is based on inductive logic.
- Qualitative research designs are flexible and emergent in nature, while quantitative research designs are rigid, fixed, and predetermined to ensure the validity and reliability of the information and its classification.
- In Qualitative research design, the distinction between data collection method and study designs is not as clear, whereas quantitative design offers greater understanding and distinction.
- Qualitative research adheres to the concept of respondent concordance. On the other hand, in quantitative research, respondent concordance is not an important factor.
- The ‘Power gap’ (researcher is superior to study population) between the researcher and the study population in Qualitative research is far smaller than in Quantitative research because of the informality in structure and situation in which data is collected.
- There is a replication of a study design, and its findings become almost impossible in Qualitative research design while possible in Quantitative research design.
- In Qualitative research design, it is more challenging to check for researcher bias due to flexibility and lack of control. In contrast, the possibility of checking researcher bias occurs in Quantitative research design.
- Qualitative research designs are better suited for examining variations and differences in various aspects of social life. On the other hand, quantitative research designs are more appropriate for determining the degree of this variation and differences.
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