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Strengths and Limitations of Qualitative and Quantitative Research Methods

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Scientific research adopts qualitative and quantitative methodologies in the modeling and analysis of numerous phenomena. The qualitative methodology intends to understand a complex reality and the meaning of actions in a given context. On the other hand, the quantitative methodology seeks to obtain accurate and reliable measurements that allow a statistical analysis. Both methodologies offer a set of methods, potentialities and limitations that must be explored and known by researchers. This paper concisely maps a total of seven qualitative methods and five quantitative methods. A comparative analysis of the most relevant and adopted methods is done to understand the main strengths and limitations of them. Additionally, the work developed intends to be a fundamental reference for the accomplishment of a research study, in which the researcher intends to adopt a qualitative or quantitative methodology. Through the analysis of the advantages and disadvantages of each method, it becomes possible to formulate a more accurate, informed and complete choice.
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European Journal of Education Studies
ISSN: 2501 - 1111
ISSN-L: 2501 - 1111
Available on-line at: www.oapub.org/edu
Copyright © The Author(s). All Rights Reserved.
© 2015 2017 Open Access Publishing Group 369
doi: 10.5281/zenodo.887089
Volume 3 Issue 9 2017
STRENGTHS AND LIMITATIONS OF QUALITATIVE AND
QUANTITATIVE RESEARCH METHODS
André Queirós1,
Daniel Faria1,
Fernando Almeida2
i
1Higher Polytechnic Institute of Gaya,
V. N. Gaia, Portugal
2Faculty of Engineering of Oporto University,
INESC TEC, Porto, Portugal
Abstract:
Scientific research adopts qualitative and quantitative methodologies in the modeling
and analysis of numerous phenomena. The qualitative methodology intends to
understand a complex reality and the meaning of actions in a given context. On the
other hand, the quantitative methodology seeks to obtain accurate and reliable
measurements that allow a statistical analysis. Both methodologies offer a set of
methods, potentialities and limitations that must be explored and known by
researchers. This paper concisely maps a total of seven qualitative methods and five
quantitative methods. A comparative analysis of the most relevant and adopted
methods is done to understand the main strengths and limitations of them.
Additionally, the work developed intends to be a fundamental reference for the
accomplishment of a research study, in which the researcher intends to adopt a
qualitative or quantitative methodology. Through the analysis of the advantages and
disadvantages of each method, it becomes possible to formulate a more accurate,
informed and complete choice.
Keywords: research methods, qualitative analysis, quantitative analysis, research
process
André Queirós, Daniel Faria, Fernando Almeida
STRENGTHS AND LIMITATIONS OF QUALITATIVE AND QUANTITATIVE RESEARCH METHODS
European Journal of Education Studies - Volume 3 Issue 9 2017 370
1. Introduction
The scientific methodology is a tool of fundamental importance for the knowledge of
the methods that are used in the elaboration of a scientific document, such as a
manuscript, dissertation or a work of completing a university course. Scientific
methodology includes the study of the methods or the instruments necessary for the
elaboration of a scientific work.
Flanagan (2013) claims that the scientific method is the most powerful tool for
discovering truths about the world, explore new theories and perform their empirical
validation. Therefore, scientific research is the process of performing systematic and
intensive inquisitions, which aims to discover and interpret the facts that are inserted in
a certain reality. In relation to its approach, scientific research can be qualitative or
quantitative.
Qualitative research is not concerned with numerical representativity, but with
the deepening of understanding a given problem. In qualitative research, the researcher
is both the subject and the object of his research. The objective of the qualitative
methodology is to produce in-depth and illustrative information in order to understand
the various dimensions of the problem under analysis.
Qualitative research is therefore concerned with aspects of reality that cannot be
quantified, focusing on the understanding and explanation of the dynamics of social
relations. Maxwell (2013) advocates that qualitative research works with the universe of
meanings, motives, aspirations, beliefs, values and attitudes, which corresponds to a
deeper space of relationships, processes and phenomena that cannot be reduced to the
operationalization of variables.
On the other side, in quantitative research, the data can be quantified. Because
the samples are generally large and considered representative of the population, the
results are taken as if they constituted a general and sufficiently comprehensive view of
the entire population (Martin & Bridgmon, 2012). Disciplines such as mathematics and
statistics assume a fundamental importance in the process of analysis and
generalization of the results obtained.
Quantitative research focuses on objectivity and is especially appropriate when
there is the possibility of collecting quantifiable measures of variables and inferences
from samples of a population. Quantitative research adopts structured procedures and
formal instruments for data collection. The data are collected objectively and
systematically. Finally, the analysis of numerical data is performed through statistical
procedures, often using software such as SPSS, R or Stata.
Table 1 summarizes the main differences between the quantitative and
qualitative research methodology through looking for several dimensions, such as....
André Queirós, Daniel Faria, Fernando Almeida
STRENGTHS AND LIMITATIONS OF QUALITATIVE AND QUANTITATIVE RESEARCH METHODS
European Journal of Education Studies - Volume 3 Issue 9 2017 371
Table 1: Differences between quantitative and qualitative research methodologies
Dimension
Qualitative research
Focus on understanding the context of the problem
Bigger
Dimension of group studies
Bigger
Proximity of the researcher to the problem being studied
Bigger
Scope of the study in time
Longer range
Researcher's point of view
Internal
Theoretical framework and hypotheses
Less structured
Flexibility and exploratory analysis
Higher
The study of the potentialities and weaknesses of the various research methodologies
has been of interest to several researchers. However, in practice, there are several
difficulties in choosing the most appropriate research methodology and methods best
suited to a given study. This work intends to give an important contribution in this
decision process, through the systematic analysis of several research methods in order
to emphasize its strengths and limitations. The paper is organized as follows: First, we
perform a review of the state of the art in the field of qualitative and quantitative
methodologies. Then, we present the adopted methodology, followed by the
comparison of the most relevant advantages and disadvantages offered by each
research method. Finally, we draw the conclusion of our work.
2. State of the Art
There are several studies that analyze generically the fundamental models of scientific
research, in which qualitative and quantitative methodologies are used. Atieno (2009)
looks to the strengths and weaknesses of qualitative research and discusses how those
limitations can be overcome by the option of quantitative research methods. Borrego et
al. (2009) analyzes the presence of quantitative, qualitative and mixed research methods
in engineering education. They reach to the conclusion that there is a primacy by the
adoption of quantitative methodologies, but they advocate that the choice must be
driven by the research questions. Castellan (2010) uses two service-learning research
projects to explain the differences between quantitative and qualitative research
methodologies. Choy (2014) compares the strengths and weaknesses of qualitative and
quantitative studies. He reaches to the conclusion that both methodologies can be
appropriate, but he advocates that a complementary approach between qualitative and
quantitative approaches for a same research topic may provide better results than use
only just one isolated methodology.
There are studies that look in detail for several methods that can be used in
qualitative research projects. Williams (2007) presents and discusses the potentialities
André Queirós, Daniel Faria, Fernando Almeida
STRENGTHS AND LIMITATIONS OF QUALITATIVE AND QUANTITATIVE RESEARCH METHODS
European Journal of Education Studies - Volume 3 Issue 9 2017 372
and vulnerabilities of the three most common research approaches, qualitative,
quantitative, and mixed methods. Baxter & Jack (2008) offer a concise guide targeted
undergraduate students that identifies and summarizes the key elements for designing
and implementing qualitative case study research projects. Roshan & Deeptee (2009)
justify the increasing use of qualitative research methods due to their potentiality to
explore several areas of human behavior that cannot be quantified. Crescentini &
Mainardi (2009) study the limitations of qualitative research articles in order to establish
a set of guidelines that should be followed to increase the effectiveness of a research
paper. The study concludes that the adoption of qualitative research techniques is not a
handicap for publishing a research article. Then, the study identifies that the most
important elements are: (i) well structured; (ii) transparent adoption of the research
process; and (iii) easily understood by readers.
Starman (2013) presents a full description of the case study methodology. He
gives a detailed description of its definition, some classifications, and several
advantages and disadvantages. Oppong (2013) analyzes the sampling issues in
qualitative research in order to ensure that the sample size of a given study is adequate
or representative. Alshenqeeti (2014) critically assesses the value and limitations of
interviewing as a research instrument. He looks at the practical issues of adopting
interviews and he discusses the validity and reliability of interviews in research studies.
Jamshed (2014) advocates the use of interviewing and observation as two main methods
to have an in depth and extensive understanding of a complex reality.
Qualitative studies have been used in a wide range of domains. Moriarty (2011)
describes how the qualitative research has been successfully in social care. Mori &
Nakayama (2013) perform a bibliometric analysis study to identify the academic impact
of qualitative studies in healthcare. For that, they compare the number of publications
in the field and the number of citations received by qualitative and quantitative studies.
The conclusion points out that despite the lower number of qualitative studies, its
impact in terms of citations is not statistically different. Noble & Smith (2015) evaluate
the effectiveness of qualitative studies into care delivering. For that, they look into
issues of validity and reliability in qualitative research and compare how concepts such
as reliability, validity and generalizability can be valid in qualitative studies. Ponelis
(2015) describes how to use a case study method in the context of a doctoral degree in
the field of information systems and entrepreneurship. Almeida & Monteiro (2017)
adopt case studies together with in-depth interviews to understand the approaches
adopted by web design companies to offer UX web experiences. Rahman (2017)
discusses the advantages, disadvantages, and ethical issues of employing qualitative
and quantitative methods in a research project in the field of language testing and
assessment.
André Queirós, Daniel Faria, Fernando Almeida
STRENGTHS AND LIMITATIONS OF QUALITATIVE AND QUANTITATIVE RESEARCH METHODS
European Journal of Education Studies - Volume 3 Issue 9 2017 373
The importance of quantitative studies and the analysis of their many several
methods are also addressed in the literature. Kelley et al. (2003) propose a set of good
practices to conduct a survey research and guides the reader through the processes of
data collection, data analysis and reporting. Schneider (2013) looks to the limitations of
using statistical significance tests in research assessments. Maher et al. (2013) confirm
the limitations of adopting statistical significance testing techniques and propose the
measure of the effect size to increase the robustness of the analysis. Felix (2015) looks
into the implications of adopting parametric and non-parametric statistical methods in
marketing research studies. Special attention was given to the interpretation of results
and to the process of making inferences. Etikan et al. (2016) analysis and compares two
non-probability sampling techniques for quantitative studies.
Finally, several book references can also be found in the literature. Kothari (2013)
publishes a book around the big concept of research methodology. In this book, both
qualitative and qualitative methodologies are explained in detail. It also includes a
chapter about the use of computer software as an indispensable part of research
equipment. Creswell (2013) includes in his book also a chapter dedicated to the analysis
of mixed methods research and makes an extensive coverage of the ethical issues that
can be found in each research methodology approach. Books describing the several
methods that can be used in qualitative research studies can be found in literature
(Merriam & Tisdell, 2015; Creswell & Poth, 2017). The same applies to quantitative
research techniques (Martin & Bridgmon, 2012; Hoy & Adams, 2015).
3. Methodology
In order to get a comprehensive background for understanding the current knowledge
in research methods for qualitative and quantitative methodologies we adopted a
narrative literature review. Two very important of this approach are the following (i) it
is helpful in developing conceptual or theoretical frameworks (Coughlan et al., 2007);
and (ii) it can be undertaken independently of a research study (Polit & Beck, 2006).
For each methodology, we capture its main methods and we describe the various
needed steps in the application of each of the methods. A mind map representation of
these identified methods may be found in Figure 1 and Figure 2. According to Davies
(2011) mind mapping is a very useful tool for understanding a complex reality and it
also promotes creative thinking, and encourages brainstorming.
André Queirós, Daniel Faria, Fernando Almeida
STRENGTHS AND LIMITATIONS OF QUALITATIVE AND QUANTITATIVE RESEARCH METHODS
European Journal of Education Studies - Volume 3 Issue 9 2017 374
Figure 1: Mind map representation for qualitative methodologies
Figure 2: Mind map representation for quantitative methodologies
After that, we synthesize the main characteristics and properties of each of the
identified methods, both for qualitative and quantitative methodologies. In a first step,
we present the evolution of the total number of publications for each method. Then, we
describe each method and, in a second phase, we perform a comparative analysis of the
advantages and disadvantages of each method. This approach will enable a reader of
this manuscript to easily identify in which situations the use of each of the methods is
advised.
4. Results and Discussion
4.1 Qualitative Methodologies
Figure 3 provides an overview about the evolution of the number of published research
studies indexed by Web of Science (WoS), Scopus and EBSCO that use qualitative
methods. The total number of publications includes academic journals, books,
André Queirós, Daniel Faria, Fernando Almeida
STRENGTHS AND LIMITATIONS OF QUALITATIVE AND QUANTITATIVE RESEARCH METHODS
European Journal of Education Studies - Volume 3 Issue 9 2017 375
conference proceedings, reports, dissertations, among others. A total of around 23
million of studies that use qualitative methods were identified.
Figure 3: Evolution of studies that adopt qualitative research methods
There is a steady increase in the number of studies published using qualitative methods
over the past ten years. However, in 2016, there is a decrease in the number of
publications regardless of the considered method. Two reasons may justify this
behavior: (i) number total of publications in 2016 may be decreased; and (ii) some
studies may not yet be indexed, since the average indexing time typically extends for
several months. In the year of 2017, only the studies published until August of 2017
were considered.
Figure 4 shows the distribution of the total number of publications by each
qualitative method. We highlight the following three kinds of methods: (i) case studies;
(ii) field research; and (iii) focus group.
Figure 4: Distribution of publications by each qualitative method
0.00
200,000.00
400,000.00
600,000.00
800,000.00
1,000,000.00
1,200,000.00
1,400,000.00
1,600,000.00
2008 2009 2010 2011 2012 2013 2014 2015 2016 2017
Observation
Ethnography
Field research
Focus groups
Case studies
Structured interviews
In-depth interviews
André Queirós, Daniel Faria, Fernando Almeida
STRENGTHS AND LIMITATIONS OF QUALITATIVE AND QUANTITATIVE RESEARCH METHODS
European Journal of Education Studies - Volume 3 Issue 9 2017 376
4.1.1 Observation
Observation is a systematic process of collecting information, in which researchers
observe a given phenomenon in their natural environment. This method is especially
indicated when a given topic is relatively unexplored and it becomes important to
understand in detail a given phenomenon, while maintaining the environmental
conditions in which it occurs.
Observation is a good way of collecting data simultaneously with the occurrence
of the event, without interfering with the occurrence of the event. It is an unobtrusive
and very flexible method, oriented to the discovery of knowledge. In some situation,
such as the analysis of the behavior of people and animals, is the only way to obtain
data in a reliable way. On the other side, it is a very time consuming method, which
requires prior preparation and the availability of the researcher to visit the place where
the event occurs. Moreover, the method is quite sensitive to the independence of the
researcher's analysis, since the interpretation of the data is done exclusively by him/her.
4.1.2 Ethnography
Ethnography consists of observing a situation and conducting interviews with its
participants. In an ethnographic research the researcher tries to interpret the situation
being observed from the perspective of the participants. According to Nurani (2008),
two basic characteristics of ethnography can be found: (i) the observation takes place in
a natural setting, and (ii) researchers must understand how an event is perceived and
interpreted by the people in a speech community. Observation and ethnography are
very similar methods. However, Charmaz (2006) states that in ethnography the
researcher must have a more holistic view, where the researcher should examine the
details of all the aspects available.
The biggest advantage of ethnography is that the researcher can have an in-
depth knowledge about the situation in analysis. On the other side, ethnography
requires a huge investment in the researcher's time and the results produced by the
study can be very diverse and it can become difficult to extract precise and targeted
conclusions.
4.1.3 Field research
Field research allows researchers to have a depth perception about people and
processes. The collection of data is done on the field and it can occur over an extended
period of time. As stated by Blackstone (2012), social facts may not appear and be
revealed to a researcher in a first moment, but they can be discovered over time during
the course of a field research project.
André Queirós, Daniel Faria, Fernando Almeida
STRENGTHS AND LIMITATIONS OF QUALITATIVE AND QUANTITATIVE RESEARCH METHODS
European Journal of Education Studies - Volume 3 Issue 9 2017 377
Field research is an excellent method for understanding the behavior of people and
their experiences. However, it is not easy to generalize this approach to a very large
number of people or groups, and documenting observations may become a challenging
process.
4.1.4 Focus groups
Focus groups are a very popular and useful method to investigate complex behavior,
where the research can interact with the participants. The information is typically
provided more quickly than if people were interviewed separately. Two main
characteristics that differentiate focus groups from other techniques are: (i) the
information source is a group; and (ii) the heuristic value of this technique lies in the
kind of interaction that emerges during the debate (Acocella, 2012).
Focus groups can provide a broader range of information and they offer the
opportunity to seek clarification, if there are topics that need further clarification.
However, focus groups can be hard to control and manage. Additionally, it can be
difficult to encourage people to participate and, therefore, they may not be
representative of non-users.
4.1.5 Case studies
Case studies provide a mean to investigate complex situations with multiple variables
under analysis. Case studies are particularly appealing for advancing a field's
knowledge base. They are very popular in the fields of applied sciences in the areas of
social sciences, education and health.
Case studies offer a good opportunity for innovation and challenge current
theoretical assumptions. They can also be a good alternative or complement to the focus
group method. However, it can be difficult to establish a cause-effect connection to
reach conclusions and it can be hard to generalize, particularly when a small number or
case studies are considered.
4.1.6 Structured interviews
Structured interviews are an assessment method design to get and compare responses
from all the interviews. The interviewee is inquired about past experiences and/or
proposed hypothetical situations. The process is standard for all people interviewed.
Structured interviews typically offer a high response rate and the interviewer is
present to explain the question to avoid misinterpretation from respondents. However,
preparing a structured interview can also be time consuming. Additionally, they don't
have the same flexibility in the choice of the answers that are predefined, which cannot
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be changed by the researcher, even if during the interview new lines of research sound
interesting to be explored.
4.1.7 In-depth interviews
In-depth interviews are a kind of unstructured, direct, and personal interview with each
respondent. In this process, the researcher typically begins with a generic question, and
then encourages the respondent to speak freely about the topic. There is also a variant
that considers the existence of semi-structured interviews, in which there is a set of pre-
defined questions, but in which freedom is given to explore one of the questions in
greater depth.
In-depth interviews provide very rich information and it offers the opportunity
to ask follow-up questions, probe additional information, justify previous answers, and
establish a connection between several topics. It also offers a comfortable atmosphere in
which people may feel more comfortable to establish a conversation. However, there
are some limitations and pitfalls, because it is time-intensive and it is not generalizable.
4.1.8 Comparison of approaches
Table 2 summarizes the main advantages and disadvantages associated with each
method considered for the qualitative methodology.
Table 2: Comparison among qualitative methods
Method
Advantages
Disadvantages
Observation
- Collect data simultaneously with the
event occurrence
- Unobtrusive way, which is not
dependent on upon someone's response
- Flexible and oriented to knowledge
discovery
- Very time consuming
- Dependent on the observer's
impartiality
- Requires significant preparation
- Difficult to collect data in real time
Ethnography
- Based on observation and interviews
with the direct involved authors
- Provide in-depth findings
- Suitable to explore new lines of research
- Very time consuming
- Difficult to get concise and precise
conclusions
- Researcher needs to have a deep
knowledge of the problem domain
Field research
- Adequate to get very detailed data
- Emphasizes the role and relevance of
social context
- Difficult to generalize and get data from
a very large number of people or groups
- Dependent on the observer's
impartiality
- Documenting observations may become
a challenging process
Focus groups
- Adequate to get detailed information
about personal and group
- Hard to control and manage
- Difficult to get the participation of
André Queirós, Daniel Faria, Fernando Almeida
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European Journal of Education Studies - Volume 3 Issue 9 2017 379
- Offer opportunity to seek clarification
- Lower costs and time when compared to
individual interviews
people
- Can be no representative of all
population
Case studies
- Provide detailed information about
individuals
- Offer a good opportunity for innovation
and change current theoretical
assumptions
- Can be a good alternative or complement
to focus groups
- Difficult to establish cause-effect
connections
- Hard to generalize from a small number
of case studies
- Ethical issues, especially of
confidentiality, may appear
- Difficult to create a case study that suits
all subjects
Structured
interviews
- Well-structured and easy to compare
respondent's answers
- Can reach a large sample
- Easy to replicate
- Conducting an interview is fairly quick to
conduct
- Very rigid
- Low flexibility in the response's choice
- Difficult to obtain detailed data
- Preparing an interview can become time
consuming
In-depth
interviews
- Adjusted to get detailed and insightful
information on a given domain
- Need only fewer participants to provide
useful and relevant insights
- Can be performed in informal
environments
- Time consuming and relatively high
costly
- Longer verification process to extract
compared information
- Participants should be carefully chosen
to avoid bias
- Not generalizable
4.2 Quantitative Methodologies
Figure 5 shows the evolution of the number of published research studies in the last 10
years that use quantitative methods. The approach followed is identical that was
performed for the qualitative methodologies. A total of around 16 million of
quantitative studies were considered.
André Queirós, Daniel Faria, Fernando Almeida
STRENGTHS AND LIMITATIONS OF QUALITATIVE AND QUANTITATIVE RESEARCH METHODS
European Journal of Education Studies - Volume 3 Issue 9 2017 380
Figure 5: Evolution of studies that adopt quantitative research methods
The behavior followed by quantitative studies is in every respect similar to what
happened with qualitative studies. Based on Figure 6 it is possible to realize that two
quantitative methods stand out against the others: (i) surveys; and (ii) correlational
studies.
Figure 6: Distribution of publications by each quantitative method
4.2.1 Field experiments
Field experiments take place in real life settings. It involves the isolation and
manipulation one or more variables to test the effect. It allows the researcher to observe
more natural behavior, but he/she will have a lot more variables to consider. This
approach is also common in sociology and applied science like bioengineering and
medicine.
Field experiments offer significant strengths when compared to lab experiments.
It offers a natural setting rather than an artificial lab setting. It is suitable to observe
0.00
100,000.00
200,000.00
300,000.00
400,000.00
500,000.00
600,000.00
700,000.00
800,000.00
2008 2009 2010 2011 2012 2013 2014 2015 2016 2017
Field experiments
Simulation
Surveys
Correlation study
Multivariate analysis
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large groups of people, which are generally better representativeness. On the other
hand, it is more difficult to control variables and, therefore, replicate the same
conditions is very challenging. Additionally, and because it is difficult to control the
environment, unanticipated actions can appear, which can adversely affect subjects and
participants.
4.2.2 Simulation
The simulation consists in the adoption of certain mathematical techniques, used in
computers, which allow imitating the operation of almost any type of operation or
process of the real world. Therefore, it represents the behavior of real systems through
the exercise of models. Simulation can be used to describe the behavior of the system,
construct theories and hypotheses considering the observations made, or use the model
to predict future behavior.
Simulation is an appropriate method to analyze complex and large practical
problem, when it is not possible to model it previously using a mathematical model.
Additionally, it can be used to compress a time frame, which is suitable to investigate
quickly the effects of a change in a real life situation. However, the simulation also
presents disadvantages, such as model building requires deep knowledge of the field
and it can be time consuming and expensive.
4.2.3 Surveys
Surveys are a research technique that allows the collection of data directly from a
person involved in the researcher through a set of questions organized in a certain
order. It is one of the most used quantitative techniques, since it allows obtaining
information about a given phenomenon, through the formulation of questions that
reflect the opinions, perceptions and behaviors of a group of individuals.
Surveys offer several benefits. Two of those most important benefits include the
high representativeness of the entire population and the low cost of the method when
compared to other alternatives. On the other side, the reliability of survey data is very
dependent on the survey structure and the accuracy of answers provided by the
respondents.
4.2.4 Correlational study
Correlational research is essentially an exploratory technique that seeks to determine
whether there is a relationship between two or more variables. There is no
manipulation of variables, but only an investigation of the extent to which the variables
are related. The strength and direction of the relationship are two characteristics
highlighted by a correlational study.
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Looking at the correlation coefficient, we can easily quantify observational data.
At the same, we can collect a wide range of information from many domains at one
time and it is possible to study the interrelations among those variables. However,
correlation doesn't indicate causation, because the association between two variables
could potentially be explained by a third variable.
4.2.5 Multivariate analysis
Multivariate analysis consists of a set of methods that can be used when multiple
measurements are made for each individual or object of one or more samples. The
methods typically applied are included in the large group of descriptive statistics and
inferential statistics. These techniques can be applied in a wide range of situations, such
as market research, process optimization and quality control.
Multivariate techniques allow researchers to explore relationships between
variables using the most appropriate methods for each situation. The statistical process
to be adopted should be adjusted to suit the characteristics of the environment under
analysis. However, these techniques are generally complex and require the use of
specialized statistical software, which is generally expensive.
4.2.6 Comparison of approaches
Table 3 performs a comparative analysis of the main advantages and disadvantages that
can be found in each quantitative method.
Table 3: Comparison among quantitative methods
Method
Advantages
Disadvantages
Field
experiments
- Works in natural setting
- Larger scale research
- Subjects are not influenced by the
observations of the experiments
- Difficult to control variables
- Difficult to replicate the same
conditions of the study
- Ethical problems can arise
Simulation
- Used to study complex systems
- Compress a time frame, which allows to
study the behavior of the system more quickly
- "What-if" questions can be tested and
answered
- Model building requires deep
knowledge of the field
- Time consuming and expensive
- May require specialized hardware and
software tools
Surveys
- Low development time
- Cost-effective
- Easy data collection and analysis using
statistical methods
- Can reach high audiences
- High representativeness
- Not affected by the subjectivity of the
researcher
- Reliability of data is very dependent
on the quality of answers and on the
survey' structure
- Rigidity of the structure
- Don't capture emotions, behavior and
changes of emotions of respondents
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Correlational
study
- A lot of information and different domains
can be explored
- Degree of association between two variables
can be easily calculated
- No manipulation of behavior is required
- No direct cause and effect can be
inferred
- May lacks internal/external validity
- Doesn't provide a conclusive reason
for the existence of a correlation
between two variables
Multivariate
analysis
- Several statistical tests and techniques can be
used
- A lot of information and different domains
can be explored
- Technical rigor of the process
- Complex of the employed techniques
- Requires the use of specialized
statistical software
5. Conclusion
Scientific studies are fundamental to increase the horizons of theories and explain the
phenomena of society. Research methods are used for the development of scientific
studies, which allow specific analysis according to the methodology employed by the
researcher.
The researcher is responsible to choose the research methodology that best suits
the situation under analysis. Two methodologies of qualitative and quantitative nature
stand out for their usefulness and wide acceptance in the scientific community. Case
studies, field research and focus group are the most adopted methods within the
qualitative methodology. On the other hand, surveys and correlational studies are the
most common methods to perform a quantitative research. The choice of method to be
adopted should take into account the advantages and disadvantages of each method,
and also the questions, specificities and the nature of the research study.
As future work, we intend to explore the potentialities and limitations of mixed
methods research. The idea is to analyze the most promising qualitative and
quantitative methods that could be used together to explore the strengths and mitigate
the weaknesses of both quantitative and qualitative research.
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