104627547-“on-the-face-of-it-there-would-seem-to-be-little-to-the-quantitative-qualitative-distinction-other-than-the-fact-that-quantitative-researchers-employ.pdf...
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Marketing Research MK514Coursework 1
On the face of it, there would seem to be little to thequantitative/qualitative distinction other than the fact that quantitativeresearchers employ measurement and qualitative researchers do not.
Bryman & Bell 2007, p.28
a. Prepare a document that discusses this statement. Give examples of when eachcould be conducted, on which topics and with what audiences to inform theclients decision making. Include a section or table on the limitations as well asthe benefits of both (1000 words).
b. Create an argument for the methodology (either quantitative or qualitative) whichyou believe to be the most relevant for todays business environment. Provideexamples to support your argument and use academic references (no less than15 in total) to support your key points (1500 words).
Abstract
Section A of this paper will critically evaluate Bryman and Bells statement (2007, p.28)
through a review of literature on the subjects of qualitative and quantitative research. The
discussion will highlight a number of fundamental differences between the two approaches,
which scholars have termed paradigm wars, thereby refuting the statement made by
Bryman and Bell (2007, p.28).
In Section B an argument will be presented in favour of the pragmatic approach to research
methodology which incorporates a mix of qualitative and quantitative research. This writer
agrees with the proponents of mixed method research that it is the most relevant approach for
todays business environment.
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Section A
Introduction
To critically evaluate Bryman and Bells statement this paper will draw upon literature to
conduct a discussion on the subject of quantitative and qualitative research.
Discussion
To perform a meaningful discussion of Bryman and Bells statement and the subject of
qualitative and quantitative research, it is necessary to explore the theoretical framework or
paradigms to which these forms of research are aligned. Khun (1962) refers to paradigms as
long periods ofnormal puzzle solving separated by brief periods of paradigm shift. Offering
an account of Khuns historical description, Potter (2000, p.70) states that:
Normal science proceeds from a single paradigm, a set of agreed-upon problems andmeans of solving them. However, scientific revolutions occur when a radically differentparadigm is conceived and established. Adherents of different paradigms frequentlytalk past one another because of how fundamentally different their assumptions are.
Johnson and Onwuegbuzie (2004, p.14) agree that alternative paradigms are the subject of
quarrel amongst many researchers, For more than a century, the advocates of quantitative
and qualitative research paradigms have engaged in ardent dispute. Smith (1983 cited
Newman and Benz, 1998, p.112) states:
the assumption that the two approaches are little more than alternative methodologieswhose varied employment responds simply to what works and not to epistemologicalconsiderations, must not be accepted at face value.
The references to debate by the authors above would suggest that there are greater
distinctions between the two research paradigms than the simple presence or absence of
measurement as indicated in the statement by Bryman and Bell (2007, p.28). Indeed, further
reading reveals that Bryman and Bell (2007, p.29) do not stand by their earlier statement, and
identify that:
a number of distinguishing features flow from the commitment of the quantitativeresearch strategy to a positivist epistemology, and from the rejection of thatepistemology by the practitioners of the qualitative research strategy.
According to Mackenzie and Knipe (2006, p.194) the chosen paradigm, sets down the intent,
motivation and expectations for the research, and without nominating a paradigm as a firststep, there is no basis for subsequent choices regarding methodology, methods, literature or
research design. These authors use the term paradigm to refer to the philosophical intent or
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underlying framework and motivation of the researcher with regard to research. Creswell
(2003) employs the term knowledge claim in place of paradigm, and discusses four main
schools of thought: post-positivism (includes positivism); constructivism (also known as
interpretivism); advocacy/ participatory; and pragmatism, explored further in the table below
(Creswell, 2003, p.6):
Post-positivism Constructivism/Interpretivism
Advocacy/Participatory
Pragmatism
Determination Reductionism Empirical
observation &measurement
Theory verification
Understanding Multiple participant
meanings Social and historical
construction Theory Generation
Political Empowerment
issue-orientated Collaborative Change-orientated
Consequences ofactions
Problem-centred Pluralistic Real-world practice
orientated
Sale et al. (2002, p.45) go further and suggest that:
the underlying assumptions of the quantitative and qualitative paradigms result indifferences which extend beyond philosophical and methodological debates. The twoparadigms have given rise to different journals, differing sources of funding, differentexpertise, and different methods.
Tashakkori and Teddlie (1998) identify three approaches to research: quantitative, qualitative
and mixed methods. In addition to the stance taken on paradigm, Creswell (2003)
characterises each approach by the strategies employed for the design and method of data
collection. Therefore particular strategies and methods have a propensity to be associated
with a particular approach. The practice of researchers adopting a primarily qualitative or
quantitative approach to design and methodology in reflection of a dominant set of associated
paradigm beliefs, whether post-positivist or interpretivist is termed by Tashakkori and Teddlie
(1998) as the mono method era, which spawned a debate known as the paradigm wars.
Glesne and Peshkin (1992, p.9) agree that:
because the positivist and the interpretivist paradigms rest on different assumptionsabout the nature of the world, they require different instruments and procedures to findthe type of data desired.
The literature suggests that research under the positivist or post-positivist paradigm favours
the use of quantitative methods which include strategies of inquiry such as (though not
necessarily exclusively) experimentation, surveys, and methods of data collection that have
pre-determined measures resulting in numeric data (Mackenzie and Knipe, 2006; Creswell,
2003). Described also by the term empiricism (Malhotra and Birks, 2007, p.155), quantitative
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research originated in the natural sciences such as biology, chemistry and physics from which
it borrows the penchant for objective observation and measurement which can be repeated by
other researchers (Charoenruk, ca. 2010).
The interpretivist/constructivist paradigm sees the application of predominantly qualitative
methods (Mackenzie and Knipe, 2006). Descended from the social sciences, such as
psychology and social anthropology, qualitative research seeks to increase the understanding
of our social world, not least why people act the way they do (Marshall and Rossman, 1999)
through studies of human behaviour and the social world inhabited by human beings
(Morgan, 1983). Qualitative research employs strategies such as case study or narrative and
uses methods of data collection such as interviews that yield open ended data (Creswell,
2003).
Newman and Benz (1998) argue that qualitative approaches are used generally when
observing and interpreting reality with the aim of developing a theory that will explain what
was experienced, whereas a quantitative approach might be used when one begins with a
theory (or hypothesis) and tests for confirmation or disconfirmation of that hypothesis. A
further explanation of the main assumptions and characteristics associated with each
approach is included in Appendix 1.
Constable et al. (2005) highlight the shortcomings of each approach, citing that quantitative
research often "forces" responses or people into categories that might not "fit" in order to
make meaning, and qualitative research sometimes focuses too closely on individual results
and fails to make connections to larger situations or possible causes of the results. Further
strengths and weaknesses as identified by Johnson and Onwuegbuzie (2004) are included in
Appendix 2.
Conclusions
It could be argued that, in general, quantitative researchers have a greater propensity to
employ measurement than their qualitative colleagues, however, the literature demonstrates
that, in addition to the application of measurement, there are many distinctions between
quantitative and qualitative strategies, not least the fundamental assumptions held within thepositivist or interpretivist paradigm. In practice this paradigm divergence gives rise to different
sources of funding, different journals and of course different methods, which extend beyond
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the choice of whether or not to use measurement. This writer therefore disagrees with the
premise contained within Bryman and Bells statement (2007, p.28), but would agree with the
proposition by Johnson and Onwuegbuzie (2004) that a paradigm shift towards the third
wave of pragmatism and mixed methods may begin to narrow the divide between
quantitative and qualitative researchers.
Section B
Introduction
This paper will build upon the review of literature conducted within Section A to address the
question of whether a qualitative or quantitative methodology is more relevant to todays
business environment. In addition to qualitative and quantitative approaches, the preceding
discussion introduced the concept of mixed methods. Constable et al. (2005) suggest that
instead of discounting individual approaches for their drawbacks, researchers should find the
most effective ways to incorporate elements of both to ensure that their studies are as
accurate and thorough as possible (2005, approx. 3 screens). This paper will therefore
present an argument not for one or other methodology (quantitative or qualitative), but for the
combination of both (mixed methods).
Discussion
The traditional view of the social sciences saw researchers preoccupied with discovering laws
concerning human behaviour for which quantitative date are needed to base generalisations.
The more recent view tends to emphasise how people differ from one another, which involves
studying individuals in depth using mainly qualitative techniques (Schulze, 2003). An analysis
of the strengths and limitations of both methodologies is contained in Appendix 2.
The emergence of the mixed methods approach in the 1960s followed by the mixed model
era in the 1990s saw researchers first employ a mix of quantitative and qualitative
approaches to methods of data collection within one study, and then a mix at multiple stages
of research, for example design, collection and analysis (Tashakkori and Teddlie, 1998;
Armitage, 2003). Known philosophically as the third wave, pragmatism moved past the
paradigm wars by offering a logical and practical alternative (Johnson and Onwuegbuzie,
2004). This pragmatic approach provides for "multiple methods, different worldviews, and
different assumptions, as well as different forms of data collection and analysis in the mixed
methods study" (Creswell, 2003, p.12).
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Newman and Benz (1998) also reject the dichotomy assumed by the qualitative-quantitative
debate offering an alternative proposition of interactive places on a methodological and
philosophical continuum based on the philosophy of science (Newman and Benz, 1998, p.xi).
The authors further assert that:
The decision about what data to collect, as well as what to do with that data after theyare collected, should be dictated by the research question (Newman and Benz, 1998,p.15).
Barker et al. (2001, p.2) agree:
that while it is typical to present the extreme positions, associated assumptions andpractices, it is probably more useful to think of a continuum along which assumptionsand features may change depending on the nature of the research problem.
An illustration from Niglas (1999, approx. 18 screens) outlines various possibilities for mixing
quantitative and qualitative at each level of research:
Gorard and Taylor (2004) describe combined or mixed methods research as a key element
in the improvement of social science... requires a greater level of skill... can lead to less waste
of potentially useful information... and creates researchers with an increased ability to make
appropriate criticisms of all types of research (2004, p.7). Gorard and Taylor assert that
research is strengthened by the use of a variety of methods, and findings often have greater
impact:
because figures can be very persuasive to policy-makers whereas stories are moreeasily remembered and repeated by them for illustrative purposes (Gorard and Taylor,2004, p.7).
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However, O'Leary (2004 cited Mackenzie and Knipe, 2006) warn that what was relatively
simple to define thirty or forty years ago has become far more complex in recent times due to
a dramatic increase in research methods, "particularly in the social/applied sciences".
Reymenyi (2002) agrees that the apparent latitude in the choice of the research strategies,
techniques and tools is perhaps one of the greatest challenges which Business and
Management Studies faces. The authors use of the word apparent is critical, as he claims
that on close examination, often only one of the apparent research alternatives may in fact be
appropriate for a particular inquiry. Reymenyi (2002) states that in some instances it would
not make sense for a researcher to use quantitative tools to explore certain types of
questions:
it might be inappropriate for a researcher interested in personal attitudes towardsleadership issues to use a blunt instrument such as a questionnaire. In a similar way itmight not be sensible to use interpretivist techniques to understand the relationshipbetween corporate debt and profit margins. Thus the initial interesting thought and thesubsequent research question is all-important in directing the course of the researchprocess.
Tashakkori and Teddlie (2003) identify three specific instances where a mixed methods
approach is superior to a mono methods approach: mixed methods can answer
simultaneously confirmatory and exploratory questions (which other approaches cannot); they
provide stronger conclusions through depth and breadth in answer to complex social
phenomena; and they provide the opportunity through divergent findings for an expression of
differing viewpoints.
In order to demonstrate mixed-methods in practice, Weinreich (1996) provides an example of
the integration of quantitative and qualitative methods in social marketing, which:
relies upon consumer-focused research to learn as much about the target audienceas possible by looking at their lives from many different angles both quantitatively aspart of a larger group, and qualitatively to investigate individual attitudes, reactions,behaviours and preferences.
According to Johnson and Onwuegbuzie (2004), the strengths of a mixed methods approach
also include the ability to employ words, pictures and narrative to add meaning to numbers
and vice versa, using numbers to add precision to words, pictures, and narrative. A mixed
methods researcher can generate and test a grounded theory, and can answer a broader and
more complete range of research questions because the researcher is not confined to a
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single method or approach. In combining qualitative and quantitative methods in one study,
the researcher can use the strengths of one method to overcome the weaknesses in the
other, add insights and understanding that might be missed when only a single method is
used and mixed methods can be used to increase the generalisability of the results. It is
generally agreed amongst the proponents of mixed methods that using qualitative and
quantitative research together produces more complete knowledge which is necessary to
inform theory and practice. Johnson and Onwuegbuzie (2004) also agree with the view of
Tashakkori and Teddlie (2003) that mixed research can provide stronger evidence for a
conclusion through convergence and corroboration of findings.
Schulze (2003) asserts that by combining qualitative and qualitative research methods,
researchers can simultaneously conform to and transcend dominant research conventions,
making use of the most valuable features of each (2003, p.19).
However, Johnson and Onwuegbuzie (2004) highlight limitations in the mixed methods
approach, not least the difficulty faced by a single researcher attempting to carry out both
qualitative and quantitative research, especially if two or more approaches are expected to
be used concurrently, which may require a research team. The mixed methods researcher
also has to learn about multiple methods and approaches and understand how to mix them
appropriately, though Gorard and Taylor (2004) identify the possession of such skills as a
strength of the mixed methods approach. Other limitations include the expense of mixed
methods; it can be more time consuming; and methodological purists contend that one
should always work within either a qualitative or a quantitative paradigm. Some of the details
of mixed research are also yet to be worked out fully, including problems of paradigm mixing;
how to qualitatively analyse quantitative data; and how to interpret conflicting results.
In relation to the relevance for todays business environment, Johnson and Onwuegbuzie
(2004, p.15) state that:
Todays research world is becoming increasingly interdisciplinary, complex, anddynamic; therefore, many researchers need to complement one method with another,and all researchers need a solid understanding of multiple methods used by otherscholars to facilitate communication, to promote collaboration, and to provide superiorresearch. Taking a non-purist or compatibilist or mixed position allows researchers to
mix and match design components that offer the best chance of answering theirspecific research questions.
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Malhotra and Birks (2007) concur that qualitative and quantitative research should be viewed
as complementary, stating that business and marketing decision-makers use both
approaches and will continue to need both (2007, p.175) and therefore seeking a singular
and uniform approach to supporting decision-makers by focusing on one approach is futile
(2007, p.152).
Conclusions
The business environment of today is more dynamic and complex than ever and calls for
creative solutions to research questions. Combining the most valuable features of both
qualitative and quantitative methodologies in a pragmatic approach facilitates such creativity,
providing for "multiple methods, different worldviews, and different assumptions, as well as
different forms of data collection and analysis in the mixed methods study" (Creswell, 2003,
p.12). The concept of a continuum allows research practitioners to take as little or as much
as is relevant from each approach, enabling them to apply a flexible framework of what
works to the research problems presented by todays hypercompetitive world. This writer
would therefore agree with the proponents of mixed methods that the use of both qualitative
and quantitative research is most relevant for todays business environment.
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Appendix 1 Assumptions and Characteristics
Post-positivism (Quantitative) Interpretivism (Qualitative)
Assumptions: Social facts have an objective reality
Primacy of method Variables can be identified and relationships
measured
Etic (outsider's point of view)
Assumptions: Reality is socially constructed
Primacy of subject matter Variables are complex, interwoven, and difficult to
measure
Emic (insider's point of view)
Purpose: Broad Generalisation Prediction
Causal explanations
Purpose: Contextualisation Interpretation
Understanding actors' perspectives
Approach: Begins with hypotheses and theories Manipulation and control
Uses formal instruments eg tests, scales,structured questionnaires
Large Samples
Pre-coded response categories Low flexibility in data collection
Statistical Analysis
Experimentation
Deductive
Component analysis
Seeks consensus, the norm
Reduces data to numerical indices Abstract language in write-up Report statistical eg percentages, tables, graphs
etc
Approach: Ends with hypotheses and grounded theory Emergence and portrayal , rich in-depth insights
Researcher as instrument
Focus groups or in-depth interviews, observations,document reviews, visual data analysis
Small samples High flexibility in data collection
Naturalistic
Inductive
Searches for patterns
Content analysis of respondent statements fromaudio recording (post-coded)
Seeks pluralism, complexity Makes minor use of numerical indices
Descriptive write-up, underlying themes illustratedby quotes from respondents; summary statements
Audience/Topic: Conducting descriptive research eg consumer or
market characteristics.
Surveys and quantitative observation.
Audience/Topic: Conducting research on children, the vital
informality and child-friendly atmosphere is easilyfacilitated by qualitative methods.
Capturing sensitive information; exploringsubconscious feelings, complex phenomena andholistic outlook.
Researchers Role: Detachment and impartiality Objective portrayal
Researchers Role: Personal involvement and partiality Empathic understanding
(Adapted from Glesne and Peshkin,1992; Mackenzie and Knipe, 2006; Malhotra and Birks, 2007)
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Appendix 2 Strengths and Limitations
Post-positivism (Quantitative)
Strengths:
Testing and validating already constructed theories about how (and to a lesser degree, why) phenomena occur. Testing hypotheses that are constructed before the data are collected. Can generalise research findings when
the data are based on random samples of sufficient size.
Can generalise a research finding when it has been replicated on many different populations andsubpopulations.
Useful for obtaining data that allow quantitative predictions to be made.
The researcher may construct a situation that eliminates the confounding influence of many variables, allowingone to more credibly assess cause-and-effectrelationships.
Data collection using some quantitative methods is relatively quick (e.g., telephone interviews).
Provides precise, quantitative, numerical data. Data analysis is relatively less time consuming (using statistical software). The research results are relatively independent of the researcher (e.g., effect size, statistical significance).
It may have higher credibility with many people in power (e.g., administrators, politicians, people who fundprograms).
It is useful for studying large numbers of people.
Limitations:
The researchers categories that are used may not reflect local constituencies understandings.
The researchers theories that are usedmay not reflect local constituencies understandings. The researcher may miss out on phenomena occurring because of the focus on theory or hypothesis testing
rather.
than on theory or hypothesis generation (called the confirmation bias). Knowledge produced may be too abstract and general for direct application to specific local situations, contexts,
and individuals.(Johnson and Onwuegbuzie, 2004, p.19)
Interpretivism (Qualitative)
Strengths:
The data are based on the participants own categories of meaning.
It is useful for studying a limited number of cases in depth. It is useful for describing complex phenomena.
Provides individual case information. Can conduct cross-case comparisons and analysis. Provides understanding and description of peoples personalexperiences of phenomena (i.e., the emic or
insiders viewpoint). Can describe, in rich detail, phenomena as they are situated and embedded in local contexts.
The researcher identifies contextual and setting factors as they relate to the phenomenon of interest. The researcher can study dynamic processes (i.e., documenting sequential patterns and change). The researcher can use the primarily qualitative method ofgrounded theory to generate inductively a tentative
but explanatory theory about a phenomenon. Can determine how participants interpret constructs (e.g., self-esteem, IQ). Data are usually collected in naturalistic settings in qualitative research.
Qualitative approaches are responsive to local situations, conditions, and stakeholders needs. Qualitative researchers are responsive to changes that occur during the conduct of a study (especially during
extended fieldwork) and may shift the focus of their studies as a result.
Qualitative data in the words and categories of participants lend themselves to exploring how and whyphenomena occur.
One can use an important case to demonstrate vividly a phenomenon to the readers of a report.
Determine idiographic causation (i.e., determination of causes of a particular event).
Limitations:
Knowledge produced may not generalise to other people or other settings (i.e., findings may be unique to therelatively few people included in the research study).
It is difficult to make quantitative predictions.
It is more difficult to test hypotheses and theories. It may have lower credibility with some administrators and commissioners of programs. It generally takes more time to collect the data when compared to quantitative research.
Data analysis is often time consuming. The results are more easily influenced by the researchers personal biases and idiosyncrasies.
(Johnson and Onwuegbuzie, 2004, p.20)
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