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The Three Main Goals Of Research Mindset Essay

Research is the study of a particular subject matter using a diversity of reliable, scholarly resources. The three main goals of research are creating facts, inspecting information, and attaining new conclusions. The three main actions to do research are trying to find, reviewing, and assessing information. This KAM will analyze the different research paradigms available for my study. The paradigms will be compared and contrasted against other research methods that exist in order to determine which the best solutions to use are. There are many different paradigms available which include: the positivist/empiricist view, the constructivist/naturalist worldview and the pragmatic model.

Abstract Depth

There are extensive research paradigms and research methods available to be used by researchers with regards to the nature of the analysis that has been performed. This thesis newspaper on the depth aspect explores the advantages and weaknesses of every paradigm and outlines the key research methods that can used to ensure successful use of the approach. The depth portion will include the traditional annotated bibliography responding to the study paradigms and their use within accounting research. This report employs extra research on the internet and almost all of the info gleaned is from the content and literature. Additionally this paper lays the lands for even more research in research methods and their uses.

Abstract Application

In the application section both the breadth and depth will be helped bring together with other research when it comes to developing or discussing uses of different research paradigms. The breadth portion of this thesis paper will lay out in detail all the available research paradigms and how the relate to accounting research. When looking at these paradigms this paper will try to concentrate on the one that will be chosen for my research, and how it compares and contrasts to the rest. This newspaper will particularly fine detail the chosen research paradigm and exactly how it relates to the concept of auditing techniques and their results on the organization governance of your company with a conceptual give attention to international accounting key points. This report uses supplementary research on the internet and most of the information gleaned is from the content and literature from non-profit organizational circumstance studies, applications and on-going research on auditing procedures on a global level.

Breadth Section

Organizations use research, especially in market research activities. General market trends is used to identify potential markets, the needs and would like of each, how those needs and wishes can be achieved, how products and services could be packed to be most accessible to customers and clients, the best costing for those products and services, who the opponents are and how best to complete against each, potential collaborators as well as how to collaborate with each and many other applications of research. Organizations can perform this research and never have to have advanced skills (Free Management Library, n. d. ).

Academic research is research and development (R&D) performed in the bigger education sector, including universities, polytechnics, etc. , and research centres which have close links with higher education institutions. Advanced schooling research has grown during the past twenty years. "Between 1981 and 2003, the talk about of R&D carried out by the bigger education sector increased from 14. 5% to 17. 4% of the full total R&D effort"(Vincent-Lancrin, 2006, p. 170). Individuals of this development include 'professionalization' of the educational profession (including specialty area and standardization of the trade), the importance of the quantitative research productivity in academic profession pathways and the emergence of strong external incentives to create following the release of research assessment exercises in several countries. The well-known 'publish or perish' guideline is quite recent (Vincent-Lancrin, 2006).

Research Paradigms

A paradigm offers a theoretical construction for witnessing and making sense of the cultural world. The implication of paradigms is that they condition how one views the planet and are reinforced by those all around us and the city of practitioners. Included by the research process the behaviour a researcher retains will reflect in the manner they research is prepared, how data is both accumulated and analyzed and exactly how research email address details are offered. For the researcher it is significant to distinguish their paradigm, it allows them to identify their role in the study process, choose the span of any research project and differentiate other perspectives (Strategy, n. d. ).

There are numerous research paradigms that are being used across and within different disciplines. These include (a) the positivist/empiricist view, which supports the utilization of quantitative methods, (b) the constructivist/naturalist worldview, which facilitates the utilization of qualitative methods, and (c) the pragmatic model, which facilitates the utilization of quantitative, qualitative, or a combination or mix of both methods (Tashakkori & Teddlie, 1998). Other paradigms that'll be viewed in this paper include post-positivism and interpretivist view.

Paradigms guide how we make decisions and carry out research. To be a researcher, it's important to learn where ones discipline belongs, that we now have various ways of viewing the globe which ones approach to knowledge is one of many. Paradigms can be characterized through their: ontology (What's truth?), epistemology (How do you know something?) and methodology (How do go about finding out?). These characteristics develop a all natural view of how people view knowledge: the way they see themselves with regards to this knowledge and the methodological strategies they use to find it (What's your paradigm, n. d. ).

Positivist/empiricist View

The positivist paradigm of discovering social the truth is based on the philosophical ideas of the France Philosopher August Comte. Regarding to him, observation and reason will be the best means of understanding human behavior; true knowledge is dependant on encounters of sense can be obtained by observation and test. In the ontological level positivists expect that the truth is objectively given and it is measurable using properties what exactly are independent of the research and his or her instruments; in other words, knowledge is objective and quantifiable. Positivistic thinkers choose methodical methods and systemize the data generation process with the aid of quantification to improve precision in the explanation of variables and the relationship included in this. Positivism is concerned with uncovering truth and presenting it by empirical means (Research Methodology and Design, n. d. ).

Using scientific method and language to research and reveal human experience is meant to keep the research free of the beliefs, passions, politics and ideology of the researcher. This approach to research is named positivist, or positivist-empiricist and it is the dominating one in social research. Positivist researchers assume that they can reach a full understanding based on experiment and observation. Principles and knowledge are kept to be the merchandise of logical experience, interpreted through logical deduction (Ryan, n. d. ).

According to the positivist epistemology, technology sometimes appears as the best way to get at fact, to understand the earth well enough such that it might be predicted and controlled. The planet and the world are deterministic; they operate by laws and regulations of cause and impact that are discernable if we apply the initial way of the technological method. Thus, knowledge is largely a mechanistic or mechanised affair in positivism. Deductive reasoning is utilized to postulate ideas that can be tested. Based on the results of studies, we might learn that a theory will not fit the facts well and so the theory must be modified to better predict fact. The positivists have confidence in empiricism, the idea that observation and way of measuring are at the key of the scientific endeavor. The main element approach of the scientific method is the experiment, the attempt to discern natural laws and regulations through immediate manipulation and observation (Krauss, 2005).

The sociable scientist must analyze public phenomena in the same state of mind as the physicist, chemist or physiologist when he probes into a still unexplored region of the clinical website. Objectivity is then identified by being exactly like that of natural research and social life may be explained in the same way as natural phenomena. This custom may therefore be characterized in terms of the prediction and description of the behavior of phenomena and the pursuit of objectivity, which is defined as the researcher's 'detachment' from this issue under exploration. The results of research using this method of exploration are then said to produce a group of 'true', correct and wide-ranging 'regulations' (known as covering regulations) of individuals behaviour. We would then have the ability to generalize from our observations on cultural phenomena to make statements about the behaviour of the populace as a whole. Positivism thus clarifies human behaviour in terms of cause and impact and 'data' must then be accumulated on the social

environment and people's reactions to it (May, 2001).

In its broadest sense, positivism is a rejection of metaphysics. It is a position that holds that the purpose of knowledge is merely to describe the phenomena that we experience. The goal of science is simply to stick to everything we can observe and measure. Understanding of anything beyond that, a positivist would hold, is impossible. predict how people will respond -- the rest in between (like what the person is considering) is irrelevant because it can't be assessed. Positivists assume that reality is stable and can be observed and explained from an objective viewpoint, without interfering with the phenomena being analyzed. They contend that phenomena should be isolated which observations should be repeatable. This often consists of manipulation of certainty with variations in mere a single independent variable to be able to identify regularities in, and to form human relationships between, a few of the constituent components of the sociable world (Positivism & Post-Positivism, 2006).

In empiricism knowledge is merely validated through sense experience, or in newer types through the surrogates of medical instrumentation (which in the sociable sciences would include study questionnaires and interview data). Its importance to medical method in the natural and public sciences lies in the centrality of emphasis placed on empirical hypothesis trials. Thus if we formulate a hypothesis such as 'industrialization brings about employee alienation', this is only meaningful if it can be verified empirically; anything less is metaphysical speculation. In addition empiricists (unlike realists) eschew claims of causal requirement, because (after Hume) it is maintained that although event A may precede event B with time, we cannot make certain A brought about B. In cultural science this basic principle is exemplified by the communal survey where the strength and way of connection between factors is expressed, but no necessary function claimed (Williams, 2006).

Post- Positivism

Post-positivism is a low cost rejection of the central tenets of positivism. A post-positivist might get started by recognizing that the way scientists think and work and the way we think in our everyday life aren't distinctly different. Scientific reasoning and good sense reasoning are essentially the same process. There is absolutely no difference in kind between the two, only a notable difference in degree. Scientists, for example, follow specific methods to assure that observations are verifiable, correct and reliable. In every day reasoning, we don't always proceed so carefully (Positivism & Post-Positivism, 2006).

Constructivist/Naturalist Worldview

Constructionism is a perspective that considers facts, explanations and other top features of 'objective certainty' to be inescapably contingent and rhetorical. That is a far more recent formulation of constructionism (with no 'public') which practices the original view of communal constructionism as a point of view wherein people are seen as produced (produced) through interpersonal interaction alternatively than through genetic programming and biological maturation (Hepburn, 2006).

Naturalism is the hypothesis that the natural world is a finished system in the sense that little or nothing that is not an integral part of the natural world impacts it. More simply, it's the denial of the life of supernatural causes. In rejecting the truth of supernatural situations, causes, or entities, naturalism is the antithesis of supernaturalism (Augustine, 2012). The naturalist or constructivist view says that knowledge is set up through the meanings mounted on the phenomena studied; researchers connect to the themes of study to obtain data; inquiry changes both researcher and subject; and knowledge is framework and time reliant (Krauss, 2005).

Constructivists maintain that clinical knowledge is built by scientists rather than discovered from the earth. Constructivists dispute that the concepts of knowledge are mental constructs proposed to be able to clarify sensory experience. Another important tenet of Constructivist theory is that there surely is no single valid technique in science, but rather a diversity of useful methods. Constructivism is against positivism, which is a philosophy that supports that the sole authentic knowledge is based on genuine sense experience and how many other individuals reveal is right and incorrect (Guba & Lincoln, 1994).

Pragmatic View

The pragmatic method of science includes using the technique which appears best suited to the research problem rather than getting swept up in philosophical debates about which is the better approach. Pragmatic analysts therefore give themselves the independence to use the methods, techniques and techniques typically associated with quantitative or qualitative research. They acknowledge that every method has its restrictions and that the different approaches can be complementary. The pragmatic approach to science consists of using the method which appears best suited to the research problem rather than getting caught up in philosophical debates about which is the greatest approach. Pragmatic analysts therefore give themselves the freedom to use any of the methods, techniques and steps typically associated with quantitative or qualitative research. They understand that each method has its restrictions and that the various strategies can be complementary. Being able to mix different strategies has the features of enabling triangulation. Triangulation is a common feature of mixed methods studies. It consists of, for example:

the use of a variety of data options (data triangulation)

the use of a number of different analysts (investigator triangulation)

the use of multiple perspectives to interpret the results (theory triangulation)

the use of multiple solutions to study a study problem (methodological triangulation) (The four main strategies, 2012).

Research is a required component for a knowledge-based contemporary society, which includes a knowledge-based economy and its own growth. A professional publication process is indispensable

for the dissemination of knowledge and the progression of knowledge through further, innovative research. These goals of publishing are best reached through an open access publishing business design. It is vital that open access becomes the typical and does not remain the exception. Open access posting should become a requirement of publicly funded research. To make open access submitting successful, the enthusiastic cooperation of the professional posting companies energetic on the marketplace is highly appealing (Engelend, 2011).

Interpretivist View

Interpretive researchers think that reality consists of people's subjective experience of the exterior world; thus, they may adopt an inter-subjective epistemology of the ontological notion that the truth is socially constructed. Some think that interpretivists are anti-foundationalists who think that there is absolutely no single correct way or particular solution to knowledge. It has also been argued that in the interpretive custom there are no correct or incorrect ideas. Instead, they must be judged matching to how interesting they may be to the researcher as well as those mixed up in same areas. They try to derive their constructs from the field by an in-depth examination of the phenomenon of interest. Interpretivists expect that knowledge and so this means are works of interpretation, hence there is no objective knowledge which is impartial of considering, reasoning humans (Research Strategy and Design, n. d. ).

The interpretivist research paradigm emphasizes qualitative research methods, which can be flexible, context very sensitive and largely concerned with understanding intricate issues. Researchers broadly debate the way the trustworthiness of interpretivist research initiatives is examined. Positivist research workers, who emphasize the issues of validity, consistency and generalizability, often respect qualitative research methods as unscientific. Several research workers suggest new requirements for evaluating qualitative enquiry and a variety of approaches to evaluating qualitative

research have been mentioned in the books (Carcary, 2009).

In the interpretivist paradigm, the researcher is not perceived as being entirely objective; alternatively he/she is an integral part of the research process. Interpretivism identifies the difficulty to make research value-free and target. In terms of the view, a single objective reality will not exist. The sociable world will not lend itself to being realized by physical-law-like guidelines. Multiple realities need to be considered. Included in these are an external fact, which is what actually happened in the physical world, and inside realities, that happen to be subjective and unique to each individual. Because each situation is different, the researcher needs to delve below the surface of its details to comprehend the reality. This is derived by the researcher is a function of the circumstances, the folks included and the wide-ranging interrelationships in the situations being researched (Carcary, 2009).

The interpretivist paradigm stresses qualitative research methods where words and pictures instead of numbers are used to spell it out situations. In qualitative research, the researcher is actively involved and attempts to understand and explain social phenomena in order to solve what Mason (2002:18) calls "the intellectual puzzle". It relies on logical inference (Hinton et al, 2003) and is also sensitive to the human being situation as it involves dialogue with informants. Generally, the researcher gathers large levels of detailed research. Thus, qualitative research may achieve depth and breadth. Further, qualitative methods are of help when the researcher focuses on the dynamics of the procedure and takes a deeper understanding of behaviour and the meaning and framework of complex phenomena. It is the most appropriate approach for studying a variety of social dimensions, while keeping contextual focus (Mason, 2002). Doing qualitative research requires sizeable reflection on the researcher's part, and the capability to make a crucial assessment of informants' commentary. It will involve debating the reason why for adopting a plan of action, challenging ones own assumptions and knowing how decisions condition the research research (Carcary, 2009).

Once a paradigm for research is chosen one must then choose which research solutions to employee to be able to conduct their research. You can find three different types of research methods that exist to those who find themselves undergoing research. Included in these are: quantitative, qualitative and merged methods. These procedures will now be explored in great fine detail throughout the rest of this paper.

There have always been important differences between the research findings derived from quantitative research and those of qualitative research. The two methodologies have different solutions and their intended goals won't be the same. In many ways, they also have rivalling visions of what constitutes truth. Despite these dissimilarities, however, the two methodologies often work in effective symbiosis with the other person and each brings to the other

a level of understanding that it could not normally achieve (Barnham, 2012).

Quantitative Research

Research relating to the assortment of data in numerical form for quantitative evaluation. The numerical data can be durations, ratings, counts of happenings, evaluations, or scales. Quantitative data can be collected in either manipulated or naturalistic surroundings, in laboratories or field studies, from special populations or from examples of the overall populace. The defining factor is the fact numbers derive from the process, whether the primary data collection produced numerical worth, or whether non-numerical principles were subsequently changed into numbers as part of the analysis process, such as content analysis (Garwood, 2006).

Quantitative research tends to be from the realist epistemology, the approach to knowledge that retains that real life exists, is immediately knowable (although definitely not at this moment) and this real life causes our experience. That's, real things can be found, and these can be measured, and also have numerical values given as an results solution, and these prices are meaningful. These values can only just be important if researchers recognize a few of the criteria associated with the positivist standpoint (Garwood, 2006).

Gaining numerical materials facilitates the dimension of factors and also allows statistical testing to be undertaken. For instance, descriptive statistics may be used to illustrate and summarize studies, detect connections between variables, such as correlation coefficient worth, or inferential statistical analysis can be performed to establish the consequences of different interventions, as with analysis of variance, evaluation of covariance and multivariate examination of variance. Connections between variables can be investigated within experimental designs and also within the analysis of data from studies or secondary sources. Changes over time can become more easily tracked using quantitative methods, as procedures of the same properties can be studied at several items during an treatment (Garwood, 2006).

Quantitative studies provide data that can be indicated in numbers-thus, their name. Because the data is at a numeric form, we can apply statistical tests in making assertions about the data. These include descriptive information like the mean, median, and standard deviation, but can likewise incorporate inferential reports like t-tests, ANOVAs, or multiple regression correlations (MRC). Statistical research allows us to derive important facts from research data, including inclination trends, variations between groupings, and demographics (McClain, 2012).

Quantitative research design is the standard experimental approach to most technological disciplines. These tests are sometimes known as true knowledge, and use traditional mathematical and statistical means to evaluate results conclusively. They are really most commonly employed by physical researchers, although interpersonal sciences, education and economics have been known to use this kind of research. It's the reverse of qualitative research. Quantitative tests all use a standard format, with a few minimal inter-disciplinary differences, of creating a hypothesis to be proved or disproved. This hypothesis must be provable by mathematical and statistical means, which is the basis around that your whole experiment is designed. Randomization of any analysis groups is essential, and a control group should be included, whenever we can. A audio quantitative design should only manipulate one variable at the same time, or statistical evaluation becomes troublesome and open to question. Ideally, the study should be built in a fashion that allows others to do it again the experiment and obtain similar results (Shuttleworth, 2008).

Qualitative Research

"Qualitative research is a situated activity that locates the observer in the world. Qualitative research contains a couple of interpretive, partnerrial practices that produce the world noticeable. These practices change the world. They turn the entire world into some representations, including field records, interviews, conversations, photographs, recordings, and memos to the home. As of this level, qualitative research involves an interpretive, naturalistic approach to the world. This means that qualitative researchers examine things in their natural configurations, try outing to seem sensible of, or interpret, phenomena in conditions of the meanings people bring to them" (Denzin & Lincoln, 2011, p. 3)

Qualitative research is not really a single set of theoretical principles, an individual research strategy or a single method. It developed in the nineteenth and twentieth hundreds of years, across a range of disciplines, on varied and sometimes conflicting philosophical and theoretical bases, including ethnic anthropology, interpretive sociologies (such as symbolic interactionism), phenomenology and, more recently, hermeneutics, critical theory, feminism, post-colonial theory, ethnical studies, post-structuralism and postmodernism. These diverse methods inevitably bring about substantial variations and disagreements about the nature of qualitative research, the role of the researcher, the utilization of varied methods and the evaluation of data (Sumner, 2006).

However, qualitative research is often established upon interpretivism, constructivism and inductivism. It really is concerned to explore the subjective meanings through which people interpret the world, the different ways in which reality is made (through terms, images and ethnic artifacts) specifically contexts. Social occurrences and phenomena are recognized from the point of view of the celebrities themselves, preventing the imposition of the researcher's own preconceptions and meanings. Addititionally there is often a concern with the exploration of change and flux in public relationships in context and over time (Sumner, 2006).

The methods found in qualitative research, often in combo, are those that are open-ended (to explore members' interpretations) and which permit the collection of in depth information in a comparatively close setting. These methods include depth interviewing, ethnography and participant observation, circumstance studies, life histories, discourse research and conversational analysis. It really is in the type of qualitative research, with its emphasis on depth and fine detail of understanding and interpretation, that it's often small-scale or micro-level (Sumner, 2006).

According to Glesne (2006), qualitative methods make an effort to understand some type of

social phenomena through the perspectives of the individuals involved. Two major assumptions

include a predisposition that reality is socially made and that the variables in a situation

are highly complicated, interwoven and difficult to measure. The purpose of such research is to

contextualize, understand and interpret a situation. Typically, qualitative research starts with

some type of inductive inquiry, resulting in a hypothesis or participant generated theory. The

researcher is considered the main instrument in a setting up that is really as naturalistic as you possibly can. The

methods involved require a advanced of descriptive writing and attention to detail. In addition, a

significant timeframe to accumulate and process the info is necessary. The researcher is directly

involved with the study in a personal way.

The various methodologies of qualitative inquiry allow a researcher to choose a strategy

that is most effective with regards to purpose. Types of qualitative research include ethnographies,

grounded theory, case studies, phenomenologies and narratives (Designing a Qualitative Study, n. d. ). Each methodology depends on specific protocols such as interviews, observations, content research, fieldwork, training video and audio-taped transmissions, research or open-ended questionnaires. Data caused by qualitative research should be "thick" in description, and therefore it go beyond surface explanation, expressing in-depth understanding extremely hard with quantitative methods. The methods of qualitative research are concerned with process, or how something occurs within the confines of the inquiry. The researcher constructs, analyzes and interprets data in a non-linear, non-chronological fashion (Szyjka, 2012).

Participant Observation

One of the most frequently used methods for qualitative data collection is participant observation, which is also one of the most challenging. It necessitates that the researcher enroll in the culture or framework that is being observed. The books on participant observation discusses how to penetrate the context, the function of the researcher as a participant, the compilation and storage area of field notes, and the study of field data. Participant observation frequently requires months or many years of concentrated work because the researcher needs to become accepted as a standard area of the culture in order to guarantee that the observations are of the natural occurrences (Qualitative Methods, 2006).


These include so it affords usage of the backstage culture; it permits richly detailed description, which they interpret to imply that one's goal of describing behaviors, intentions, situations, and events as recognized by one's informants is highlighted; and it offers opportunities for enjoying or participating in unscheduled events. In addition, it improves the quality of data collection and interpretation and facilitates the development of new research questions or hypotheses (Kawulich, 2005).


Disadvantages include that sometimes the researcher may well not be thinking about what happens out of the public eye which one must count on the utilization of key informants. Different analysts gain different knowledge of what they monitor, based on the key informant(s) used in the analysis. Problems related to representation of occurrences and the subsequent interpretations might occur when researchers select key informants who act like them or when the informants are community leaders or marginal participants. To ease this potential bias problem, it's been advised that pretesting informants or selecting individuals who are culturally competent in this issue being researched (Kawulich, 2005).

Direct Observation

Direct observation is well known from participant observation in several ways. First, a primary observer doesn't characteristically try to become a participant in the surroundings. However, the immediate observer does try to be as inconspicuous as you possibly can so as not to prejudice the observations. Second, direct observation proposes a far more disconnected point of view. The researcher is observing somewhat than engaging. As a result, technology can be a helpful part of direct observation. For example, you can videotape the occurrence or notice from behind one-way mirrors. Third, immediate observation is commonly more centered on participant observation. The researcher is viewing certain sampled circumstances or people alternatively than trying to become engrossed in the complete context. Finally, immediate observation tends never to take so long as participant observation. For example, one might view interactions among people under specific conditions in a laboratory environment from behind a one-way reflection, looking particularly for any nonverbal cues that are being used (Qualitative Methods, 2006).


Simply watching people bypasses all the problems of self-report steps: there can be no covering up, no fake reports. Immediate observation allows people to discuss real, indisputable actions as they occur. For a few techniques, such as process consulting, immediate observation is necessary and an integral part of the process. Direct observation may be used to check the validity of other data collection methods. In order to reduce bias, observation should be achieved by a person who does not have an investment in a specific point of view (Toolpack Consulting, 2012).


Observation requires a lot of time, planning, and, therefore, money (except in experimental work where people volunteer their time). Unless the activities observed are identified very securely and are extremely simple, interpretation and coding are needed. This takes time and provides the likelihood of bias. There are also more sampling issues: in addition to which people to observe, there are also issues of when to observe them, where, and during what events. There is also the question of if the observer should be obvious or hidden. One of the major questions with observation is whether people will "play to their audience. " The occurrence of the observer may change what's discovered (Toolpack Consulting, 2012).

Unstructured Interviewing

Unstructured interviewing includes direct contact between your researcher and a respondent or group. It really is not the same as traditional set up interviewing in several important ways. First, even although researcher may involve some preliminary guiding questions or main concepts to enquire about, there is absolutely no official structured tool or process. Second, the interviewer is absolve to move the conversation in any way of interest that will come up. Because of this, unstructured interviewing is mainly useful for discovering a topic in a wide sense. Yet, there is a price because of this lack of construction. Because each interview is commonly distinctive with no prearranged group of questions asked of all respondents, it is generally more difficult to analyze unstructured interview data, particularly when incorporating across respondents (Qualitative Methods, 2006).

Although unstructured interviewing permits great social discussion between interview and interviewee, with few constraints on the interview program, interviewers need to reduce their own, possibly biasing role, restricting their interactions to encouraging nods and expressions and non-directive, natural probes. They need to resist the urge to agree or disagree with interviewees and need to perfect the art of fabricating expectant, not awkward silences (Klenke, 2008).


The features of unstructured interviews are that more complex issues can be probed, answers can be clarified, and a more calm research atmosphere may donate to the elicitation of more in-depth as well as very sensitive information (Klenke, 2008). That is a great way to really delve into fine detail on things that come up during the interview. As issues appear the interviewer may easily change the direction of the questioning to be able to obtain additional information about a topic in which they want.


Disadvantages of unstructured interviews include: the results of the interview results in several types of information accumulated from different interviewees who are asked different questions thus restricting the comparability of responses and the results is a less systematic and comprehensive set of data which might make the business and examination of data difficult (Klenke, 2008).

Case Study

The research study is a qualitative technique that is frequently employed in business

research, but often minus the methodological thoroughness that other research methods receive

because of a lack of formal process and the recognized obviousness of the results. With some

researchers lamenting the limitation of circumstance studies and other qualitative methods to

sociological and phenomenological research, business research is more and more looking to

combine qualitative and quantitative options for a more holistic approach to the organization.

A research study is an in depth investigation comprising an oral, archival, and secondary

source-based record of a history or current occurrence (Leonard-Barton, 1990). The info drawn

on for the analysis can comprise researcher observation and personal interviewing as well as

sources from open public and private archives. Leonard-Barton (1990), points out that "the

phenomenon being researched always dictates somewhat the conditions of its own dissection and

exploration. Which means that when applied to a business context, case study strategy will adapt to the sort of sources and techniques that exist, just as the strategy has been designed to different cultural technology research. Yin (2008), creates that "the research study method allows researchers to wthhold the holistic and meaningful characteristics of real-life occasions - such as specific life cycles, small group tendencies, organizational and managerial procedures,

neighborhood change, institution performance, international relations, and the maturation of

industries" (p. 4).

Triangulation in case study research can result from an assortment of data, analysts,

theories, and blended methodological approaches, such as put together quantitative and qualitative

research. A couple of four types of triangulation for case study research. They are data source triangulation - wherein the researcher attempts to identify data that remains the same in different contexts; investigator triangulation - where different researchers investigate the same occurrence; theory triangulation - where different theoretical hypotheses are applied to the same data set; and methodological triangulation - which looks for to reproduce similar results with different methodologies. The purpose of these triangulations is to demonstrate the robust character of the results from the research study (Zivkovic, 2012).


Case studies are multi-perspectival analyses. What this means for the researcher is they can take into consideration the conversation between groups within the organization, as well as, individuals and communities effected by the organization, for example, CEOs, employees, customers, regulators and other people involved in the organization. That is one of the advantages of the research study over sampling methods and quantitative methods, which have a tendency to favor the organization's 'elite' because they create the data (Zivkovic, 2012).

Single-case studies and multiple-case studies are both useful tools for business research.

Single cases can be used to support or contest a model or theory, as well concerning demonstrate an

unusual or exemplary circumstance. Single-case studies are most powerful for exemplary situations where a researcher has gained usage of a phenomenon that has been under-researched or even unidentified.

In business, this can be the creation and execution of a new model, the beginning up

of a recently shut down industry, or even the development of a new organization. These seem to be especially relevant in business research when analyzing a particular sensation, rather than wider business concern. Multiple-case studies are evenly valuable, although they could be applied to an alternative type of business research question because they show repeatable phenomena. However, they have a weakness, as well, because they're conflated with the idea of sampling reasoning. While test "case studies" frequently come in business research literature, this type of sample selection is not really a true research study because it will not take a holistic approach to each situation, but picks and chooses to fit an argument. The usage of multiple-case studies helps to develop exterior validity and protect from researcher bias. The reasoning for utilizing a multiple-case study methodology is close to the scientific strategy of using multiple tests: each circumstance should be chosen on the basis so it either (a) predicts similar results (a literal replication), or (b) produces contrary results but also for predictable reasons (a theoretical replication) (Zivkovic, 2012).

Another strength of the research study method running a business is that any fact highly relevant to the

process or the sensation is a potential way to obtain data due to ultimate role of context

and situation. This relates back to the role of triangulation in the case study approach: in order to make sense of all interrelated parts in an organization or a number of organizations the research strategy should "slice vertically through the business, obtaining data from multiple levels and perspectives. One great strength of the research study method is that, just like a history, it examines occurrences when "relevant conducts can't be manipulated" and therefore, like a background, it is able "to deal with a complete variety of research - documents, artifacts, interviews, and observations - beyond what might be available in a typical historical analysis. In terms of business research, this once more favors the singular or exemplary sensation in the more generalizable wider business happening (Zivkovic, 2012).


Many of the weaknesses of research study research methodology stem from the improper

understanding of the technique. Case studies can even be misused in situations that

call for a different research strategy. Yin (2008) points out that circumstance studies are good for

explanatory research questions that "deal with operational links needing to be traced as time passes,

rather than mere frequencies or incidence" (p. 9). However, a research study would be inappropriate

for a 'how many' or 'how much' research question, where archival research or survey data

would become more appropriate (Yin, 2008). Flyvbjerg (2006) points out five common misunderstandings about research study research that demonstrate the weaknesses of the method if ill-applied: "(a) theoretical knowledge is more valuable than sensible knowledge; (b) one cannot generalize from a single case, therefore, the single-case study cannot donate to medical development; (c) the research study is most useful for making hypotheses, whereas other methods are definitely more well suited for hypotheses trials and theory building; (d) the research study includes a bias toward verification; and (e) it is often difficult to conclude specific case studies" (p. 219).

Another important weakness in the practical application of case study methodology has

been the effort by researchers to aid internal validity, trustworthiness, build validity, and

external validity. Some work have been made by research workers, as well as by case study proponents to articulate the process of validity. It's been argued for the use of multiple

sources of data, such as archival, interviews, and external reviews, as another way of creating

construct validity. External validity is normally created by triangulation in multiple-case studies, but is more elusive in a single-case analysis. External validity in single-case studies could be achieved from theoretical relationships - theoretical triangulation - and generalizing from these. As mentioned above, triangulation is one way of conquering the validity and robustness critiques of research study methodology. However, used, this is taking care of that is regularly overlooked in applications of the case study to business research. The methodological fuzziness associated with circumstance studies as a result of insufficient a formal case study protocol is a substantial weakness both in conditions of validity of results and reliability of the study in future research (Zivkovic, 2012).

Another weakness is that in the interviewing and observing process, the advanced of

contact with themes can create informal manipulation (Yin, 2008). You can find other potential biases, including the researcher's possible misjudgment of the representativeness of a single

event or process and in doing so exaggerating the relevance of any data set because of its perceived

importance in a particular case, or biasing quotes through unwitting anchoring. Biases are especially important in business research because the experts may have a reference to the organization being studied - especially in graduate institution research configurations - and for that reason may consciously or unconsciously effect the interpretation and demonstration of the analysis (Zivkovic, 2012).

Another critique of the case study method is the issue of generalization because the case

study is usually highly relevant to a specific context and therefore not more widely relevant even

though researchers try to draw comparisons. Single-case studies in particular are limited in terms

of their generalizability. The fallacy of generalization assumes a single case or perhaps a few conditions have been drawn from a larger group of similar circumstances; in these situations, the reference to a 'small sample' of conditions arises, dealing with the single-case analysis as if it were an individual respondent in a review or sampling research. In other words, a universal problem with the research study method is that it is not treated like a research study, but like a sample or other method that extracts an example for wider understanding and generalization (Zivkovic, 2012).

Paradigmatic Comparisons

Creswell and Plano-Clark (2007) summarize the comparability between qualitative and

quantitative research according to process:

Qualitative research looks for to understand interpretation individuals give to a occurrence inductively; quantitative research studies a theory deductively to either support or refute it.

Qualitative research typically asks open-ended questions, seeking to understand the complexness of an individual idea or happening. Yet, range from close-ended questions using circumstances; quantitative research asks close-ended questions that test specific hypotheses or questions. These questions may be open-ended depending on the use of statistical strategies made to explore confirmed happening quantitatively.

Qualitative research recognizes the personal position of the researcher; the quantitative researcher remains in the background and takes precautions to remove bias.

Qualitative research validates data using validity methods that count on the participants, the researcher or the audience; Quantitative research validates data using validity strategies based on external benchmarks, such as judges, previous research or reports.

Qualitative research uses literature scantly in justifying the issue; quantitative research uses the books in a significant way to justify the challenge under investigation and identify specific questions and hypotheses.

Qualitative research gathers data by means of words and images, from few participants at a few research sites, and studies the condition at their location; quantitative research analyzes data using numbers from many members in many research sites, where in fact the musical instruments are either sent or implemented to the individuals.

The basis for qualitative research is phenomenology, or the sorted out and postulated report from the first-person point of view; quantitative research embraces the positivism tradition, or the notion that conditions for inferring outcomes are rooted in contingencies bordering cause and impact and logical progression.

Mixed Methods Research

Mixed methods research and design has placed the stage for what some look at a dualistic

method predicated on pragmatism. Pragmatism epitomizes John Dewey's idea of finding what works

in building knowledge among those who seek to progress scientific truth (Creswell & Plano-

Clark, 2007). Though you'll find so many characteristics of pragmatism, the one advanced in this

discussion is dependant on the theory of framework, or that questions of research dictate qualitative,

quantitative, or blended methods (Malcolm, 1999). In such a view, incorporating methods is deemed

the preferential manner in which one can expect to arrive at knowledge of greater completeness.

Pragmatism shows that the methods in which one investigates some well-constructed

research questions will result in a better understanding of individuals learning in the communal sciences (Szyjka, 2012).


Mixed methods research can gather both quantitative and qualitative data all together enabling perspectives from each. In addition, it provides the features of both methods that tend to be familiar to numerous researchers. It permits shorter data collection time when compared to sequential methods and it offsets the weaknesses that are inherent to 1 design or the other by using both (Terrell, 2012).


In this kind of research data must be transformed to allow integration during research, which may lead to issues in resolving discrepancies that appear between the various data types. This technique also takes a great deal of expertise and effort in order to review the phenomenon in mind using two different methods (Terrell, 2012). Instead of just having the ability to concentrate on one or the other, a research must know and use both proficiently.


The methods that are available for you to use when doing research are numerous and incredibly vast in character. They each have their advantages with their disadvantages. A comparison of the three paradigms is seen in Physique 1. The paradigm that will best suit my research needs is likely to be that of a qualitative research design. It'll now be essential to examine the techniques that are used to carry out qualitative research in more depth in, particularly in the are of accounting, to be able to see which method is likely to be right for my research. Within the next section the paradigms and methods will be regarded in depth in order to better understand them.

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