the research onion philosophy

Saunders’ Research Onion

Plain-Language Explainer (With Examples)

By:  David Phair (PhD)  and  Kerryn Warren (PhD)  | January 2021

I f you’re learning about research skills and methodologies, you may have heard the term “ research onion ”. Specifically, the research onion developed by Saunders et al in 2007 . But what exactly is this elusive onion? In this post, we’ll break Saunders’ research onion down into bite-sized chunks to make it a little more digestible.

What (exactly) is the research onion?

At the simplest level, Saunders’ (2007)research onion describes the different decisions you’ll need to make when developing a  research methodology   – whether that’s for your dissertation, thesis or any other formal research project. As you work from the outside of the onion inwards , you’ll face a range of choices that progress from high-level and philosophical to tactical and practical in nature. This also mimics the general structure for the methodology chapter .

While Saunders’ research onion is certainly not perfect, it’s a useful tool for thinking holistically about methodology. At a minimum, it helps you understand what decisions you need to make in terms of your research design and methodology.

The layers of Saunders’ research onion

The onion is made up of six layers, which we’ll peel back one at a time:

• Research philosophy
• Research approach
• Research strategy
• Time horizon
• Techniques & procedures

Onion Layer 1: Research Philosophy

The very first layer of the onion is the research philosophy . But what does that mean? Well, the research philosophy is the foundation of any study as it describes the set of beliefs the research is built upon . Research philosophy can be described from either an  ontological  or  epistemological  point of view. “A what?!”, you ask?

In simple terms,  ontology  is the “what” and “how” of what we know – in other words, what is the nature of reality and what are we really able to know and understand. For example, does reality exist as a single objective thing, or is it different for each person? Think about the simulated reality in the film The Matrix.

Epistemology , on the other hand, is about “how” we can obtain knowledge and come to understand things – in other words, how can we figure out what reality is, and what the limits of this knowledge are. This is a gross oversimplification, but it’s a useful starting point (we’ll cover ontology and epistemology another post).

With that fluffy stuff out the way, let’s look at three of the main research philosophies that operate on different ontological and epistemological assumptions:

• Interpretivism

These certainly aren’t the only research philosophies, but they are very common and provide a good starting point for understanding the spectrum of philosophies.

Research Philosophy 1: Positivism

Positivist research takes the view that knowledge exists outside of what’s being studied . In other words, what is being studied can only be done so objectively , and it cannot include opinions or personal viewpoints – the researcher doesn’t interpret, they only observe. Positivism states that there is only one reality  and that all meaning is consistent between subjects.

In the positivist’s view, knowledge can only be acquired through empirical research , which is based on measurement and observation. In other words, all knowledge is viewed as a posteriori knowledge – knowledge that is not reliant on human reasoning but instead is gained from research.

For the positivist, knowledge can only be true, false, or meaningless . Basically, if something is not found to be true or false, it no longer holds any ground and is thus dismissed.

Let’s look at an example, based on the question of whether God exists or not. Since positivism takes the stance that knowledge has to be empirically vigorous, the knowledge of whether God exists or not is irrelevant. This topic cannot be proven to be true or false, and thus this knowledge is seen as meaningless.

Kinda harsh, right? Well, that’s the one end of the spectrum – let’s look at the other end.

Research Philosophy 2: Interpretivism

On the other side of the spectrum, interpretivism emphasises the influence that social and cultural factors can have on an individual. This view focuses on  people’s thoughts and ideas , in light of the socio-cultural backdrop. With the interpretivist philosophy, the researcher plays an active role in the study, as it’s necessary to draw a holistic view of the participant and their actions, thoughts and meanings.

Let’s look at an example. If you were studying psychology, you may make use of a case study in your research which investigates an individual with a proposed diagnosis of schizophrenia. The interpretivist view would come into play here as social and cultural factors may influence the outcome of this diagnosis.

Through your research, you may find that the individual originates from India, where schizophrenic symptoms like hallucinations are viewed positively, as they are thought to indicate that the person is a spirit medium. This example illustrates an interpretivist approach since you, as a researcher, would make use of the patient’s point of view, as well as your own interpretation when assessing the case study.

Research Philosophy 3: Pragmatism

Pragmatism highlights the importance of using the best tools possible to investigate phenomena. The main aim of pragmatism is to approach research from a practical point of view , where knowledge is not fixed, but instead is constantly questioned and interpreted. For this reason, pragmatism consists of an element of researcher involvement and subjectivity, specifically when drawing conclusions based on participants’ responses and decisions. In other words, pragmatism is not committed to (or limited by) one specific philosophy.

Let’s look at an example in the form of the trolley problem, which is a set of ethical and psychological thought experiments. In these, participants have to decide on either killing one person to save multiple people or allowing multiple people to die to avoid killing one person.

This experiment can be altered, including details such as the one person or the group of people being family members or loved ones. The fact that the experiment can be altered to suit the researcher’s needs is an example of pragmatism – in other words, the outcome of the person doing the thought experiment is more important than the philosophical ideas behind the experiment.

Onion Layer 2: Research Approach

Let’s peel off another layer and take a look at the research approach . Your research approach is the broader method you’ll use for your research –  inductive  or  deductive . It’s important to clearly identify your research approach as it will inform the decisions you take in terms of data collection and analysis in your study (we’ll get to that layer soon).

Inductive approaches entail generating theories from research , rather than starting a project with a theory as a foundation.  Deductive approaches, on the other hand, begin with a theory and aim to build on it (or test it) through research.

Sounds a bit fluffy? Let’s look at two examples:

An  inductive approach  could be used in the study of an otherwise unknown isolated community. There is very little knowledge about this community, and therefore, research would have to be conducted to gain information on the community, thus leading to the formation of theories.

On the other hand, a  deductive approach  would be taken when investigating changes in the physical properties of animals over time, as this would likely be rooted in the theory of evolution. In other words, the starting point is a well-established pre-existing body of research.

What’s the relevance of qualitative and quantitative data to research approaches? Well, inductive approaches are usually used within qualitative research, while quantitative research tends to reflect a deductive approach, usually informed by positivist philosophy. The reason for using a deductive approach here is that quantitative research typically begins with theory as a foundation, where progress is made through hypothesis testing. In other words, a wider theory is applied to a particular context, event, or observation to see whether these fit in with the theory, as with our example of evolution above.

Need a helping hand?

Onion Layer 3: Research Strategy

So far, we’ve looked at pretty conceptual and intangible aspects of the onion. Now, it’s time to peel another layer off that onion and get a little more practical – introducing research strategy . This layer of the research onion details how, based on the aims of the study, research can be conducted. Note that outside of the onion, these strategies are referred to as research designs.

There are several strategies  you can take, so let’s have a look at some of them.

• Experimental research
• Action research
• Case study research
• Grounded theory
• Ethnography
• Archival research

Strategy 1: Experimental research

Experimental research involves manipulating one variable (the independent variable ) to observe a change in another variable (the dependent variable ) – in other words, to assess the relationship between variables. The purpose of experimental research is to support, refute or validate a  research hypothesis . This research strategy follows the principles of the  scientific method  and is conducted within a controlled environment or setting (for example, a laboratory).

Experimental research aims to test existing theories rather than create new ones, and as such, is deductive in nature. Experimental research aligns with the positivist research philosophy, as it assumes that knowledge can only be studied objectively and in isolation from external factors such as context or culture.

Let’s look at an example of experimental research. If you had a hypothesis that a certain brand of dog food can raise a dogs’ protein levels, you could make use of experimental research to compare the effects of the specific brand to a “regular” diet. In other words, you could test your hypothesis.

In this example, you would have two groups, where one group consists of dogs with no changes to their diet (this is called  the control group) and the other group consists of dogs being fed the specific brand that you aim to investigate (this is called the experimental/treatment group). You would then test your hypothesis by comparing the protein levels in both groups.

Strategy 2: Action research

Next, we have action research . The simplest way of describing action research is by saying that it involves learning through… wait for it… action. Action research is conducted in practical settings such as a classroom, a hospital, a workspace, etc – as opposed to controlled environments like a lab. Action research helps to inform researchers of problems or weaknesses related to interactions within the real-world . With action research, there’s a strong focus on the participants (the people involved in the issue being studied, which is why it’s sometimes referred to as “participant action research” or PAR.

An example of PAR is a community intervention (for therapy, farming, education, whatever). The researcher comes with an idea and it is implemented with the help of the community (i.e. the participants). The findings are then discussed with the community to see how to better the intervention. The process is repeated until the intervention works just right for the community. In this way, a practical solution is given to a problem and it is generated by the combination of researcher and community (participant) feedback.

This kind of research is generally applied in the social sciences , specifically in professions where individuals aim to improve on themselves and the work that they are doing. Action research is most commonly adopted in qualitative studies and is rarely seen in quantitative studies. This is because, as you can see in the above examples, action research makes use of language and interactions rather than statistics and numbers.

Strategy 3: Case study research

A case study is a detailed, in-depth study of a single subject – for example, a person, a group or an institution, or an event, phenomenon or issue. In this type of research, the subject is analysed to gain an in-depth understanding of issues in a real-life setting. The objective here is to gain an in-depth understanding within the context of the study – not (necessarily) to generalise the findings.

It is vital that, when conducting case study research, you take the social context and culture into account, which means that this type of research is (more often than not) qualitative in nature and tends to be inductive. Also, since the researcher’s assumptions and understanding play a role in case study research, it is typically informed by an interpretivist philosophy.

For example, a study on political views of a specific group of people needs to take into account the current political situation within a country and factors that could contribute towards participants taking a certain view.

Strategy 4: Grounded theory

Next up, grounded theory. Grounded theory is all about “letting the data speak for itself”. In other words, in grounded theory, you let the data inform the development of a new theory, model or framework. True to the name, the theory you develop is “ grounded ” in the data. Ground theory is therefore very useful for research into issues that are completely new or under-researched.

Grounded theory research is typically qualitative (although it can also use quantitative data) and takes an inductive approach. Typically, this form of research involves identifying commonalities between sets of data, and results are then drawn from completed research without the aim of fitting the findings in with a pre-existing theory or framework.

For example, if you were to study the mythology of an unknown culture through artefacts, you’d enter your research without any hypotheses or theories, and rather work from the knowledge you gain from your study to develop these.

Strategy 5: Ethnography

Ethnography involves observing people in their natural environments and drawing meaning from their cultural interactions. The objective with ethnography is to capture the subjective experiences of participants, to see the world through their eyes. Creswell (2013) says it best: “Ethnographers study the meaning of the behaviour, the language, and the interaction among members of the culture-sharing group.”

For example, if you were interested in studying interactions on a mental health discussion board, you could use ethnography to analyse interactions and draw an understanding of the participants’ subjective experiences.

For example, if you wanted to explore the behaviour, language, and beliefs of an isolated Amazonian tribe, ethnography could allow you to develop a complex, complete description of the social behaviours of the group by immersing yourself into the community, rather than just observing from the outside.  

Given the nature of ethnography, it generally reflects an interpretivist research philosophy and involves an inductive , qualitative research approach. However, there are exceptions to this – for example, quantitative ethnography as proposed by David Shafer.

Strategy 6: Archival research

Last but not least is archival research. An archival research strategy draws from materials that already exist, and meaning is then established through a review of this existing data. This method is particularly well-suited to historical research and can make use of materials such as manuscripts and records.

For example, if you were interested in people’s beliefs about so-called supernatural phenomena in the medieval period, you could consult manuscripts and records from the time, and use those as your core data set.

As you can see, there is a wide range of choices in terms of research strategy. The right choice for your project will depend largely on your research aims and objectives, as well as the choices you make in terms of research philosophy and approach.

Onion Layer 4: Choices

The next layer of the research onion is simply called “choices” – they could have been a little more specific, right? In any case, this layer is simply about deciding how many data types (qualitative or quantitative) you’ll use in your research. There are three options – mono , mixed , and multi-method .

Let’s take a look at them.

Choosing to use a  mono method  means that you’ll only make use of one data type – either qualitative or quantitative. For example, if you were to conduct a study investigating a community’s opinions on a specific pizza restaurant, you could make use of a qualitative approach only, so that you can analyse participants’ views and opinions of the restaurant.

If you were to make use of both quantitative and qualitative data, you’d be taking a  mixed-methods approach. Keeping with the previous example, you may also want to assess how many people in a community eat specific types of pizza. For this, you could make use of a survey to collect quantitative data and then analyse the results statistically, producing quantitative results in addition to your qualitative ones.

Lastly, there’s  multi-method . With a multi-method approach, you’d make use of a wider range of approaches, with more than just a one quantitative and one qualitative approach. For example, if you conduct a study looking at archives from a specific culture, you could make use of two qualitative methods (such as thematic analysis and content analysis ), and then additionally make use of quantitative methods to analyse numerical data.

Onion Layer 5: Time horizon

What’s that far in the distance? It’s the time horizon. But what exactly is it? Thankfully, this one’s pretty straightforward. The time horizon simply describes how many points in time you plan to collect your data at . Two options exist – the  cross-sectional  and  longitudinal  time horizon.

Imagine that you’re wasting time on social media and think, “Ooh! I want to study the language of memes and how this language evolves over time”. For this study, you’d need to collect data over multiple points in time – perhaps over a few weeks, months, or even years. Therefore, you’d make use of a  longitudinal time horizon. This option is highly beneficial when studying changes and progressions over time.

If instead, you wanted to study the language used in memes at a certain point in time (for example, in 2020), you’d make use of a  cross-sectional  time horizon. This is where data is collected at one point in time, so you wouldn’t be gathering data to see how language changes, but rather what language exists at a snapshot point in time. The type of data collected could be qualitative, quantitative or a mix of both, as the focus is on the time of collection, not the data type.

Onion Layer 6: Techniques and Procedures

Finally, we reach the centre of the onion – this is where you get down to the real practicalities of your research to make choices regarding specific techniques and procedures .

Specifically, this is where you’ll:

• Decide on what data you’ll collect and what data collection methods you’ll use (for example, will you use a survey? Or perhaps one-on-one interviews ?)
• Decide how you’ll go about sampling the population (for example, snowball sampling, random sampling, convenience sampling, etc).
• Determine the type of data analysis you’ll use to answer your research questions (such as content analysis or a statistical analysis like correlation).
• Set up the materials you’ll be using for your study (such as writing up questions for a survey or interview)

What’s important to note here is that these techniques and procedures need to align with all the other layers of the research onion – i.e., research philosophy, research approaches, research strategy, choices, and time horizon.

For example, you if you’re adopting a deductive, quantitative research approach, it’s unlikely that you’ll use interviews to collect your data, as you’ll want high-volume, numerical data (which surveys are far better suited to). So, you need to ensure that the decisions at each layer of your onion align with the rest, and most importantly, that they align with your research aims and objectives.

Let’s Recap: Research Onion 101

Saunder’s (2007) research onion details the many interrelated choices you’ll need to make when you’re crafting your research methodology. These include:

• Research philosophy – the set of beliefs your research is based on (positivism, interpretivism, pragmatism)
• Research approaches – the broader method you’ll use (inductive, deductive, qualitative and quantitative)
• Research strategies – how you’ll conduct the research (e.g., experimental, action, case study, etc.)
• Choices – how many methods you’ll use (mono method, mixed-method or multi-method)
• Time horizons – the number of points in time at which you’ll collect your data (cross-sectional or longitudinal)
• Techniques and procedures (data collection methods, data analysis techniques, sampling strategies, etc.)

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64 Comments

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Wow this was sooo helpful. I don’t feel so blank about my research anymore. With this information I can conquer my research. Going ‘write’ into it. Get it write not right hahahaha

Very good article . Thanks a million

Do you use each of these as headings for your methodology section

I am doing research with Bolton University so i would like to empower myself.

Really thoughtful presentation and preparation. I learnt too much to teach my students in a very simple and understandable way

Very useful, thank you.

You’re most welcome. Good luck with your research!

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I am a Student at Malawi Institute of Management, pursuing a Masters’ degree in Business Administration. I find this to be very helpful

Extremely useful, well explained. Thank you so much

I would like to download this file… I can’t find the attachment file. Thanks

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Thanks so much for this piece. Just to be clear, which layer do interviews fit in?

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A complex but useful approach to research simplified! I would like to learn more from the team.

A very simplified version of a complex topic. I found it really helpful. I would like to know if this publication can be cited for academic research. Thank you

You’re welcome to cite this page, but it would be better to cite the original work of Saunders.

Thirteen odd years since my MSc in HRM & HRD at UoL. I’d like to say thank you for the effort to produce such an insightful discussion of a rather complex topic.

I am a PhD in Media Studies student. I found this enormously helpful when stringing together the methodology chapter, especially the research philosophy section.

Hello there. Thank you for summarising the work on the onion. A more recent version of the onion (Saunders et al., 2019) refers to ‘methodological choices’ rather than choices. This can be downloaded, along with the chapter dealing with research philosophies at: https://www.researchgate.net/publication/330760964_Research_Methods_for_Business_Students_Chapter_4_Understanding_research_philosophy_and_approaches_to_theory_development or https://www.academia.edu/42304065/Research_Methods_for_Business_Students_Chapter_4_Understanding_research_philosophy_and_approaches_to_theory_development_8th_edition

Thank you Mark Saunders. Your work is very insightful

Thank you for the update and additional reading Mark, very helpful indeed.

THROUGHLY AND SIMPLY BRIEFED TO MAKE SENSE AND A CLEAR INSIGHT. THANK YOU, VERY MUCH.

Thank you for the sharing the recent version of the Onion!

I want to keep it in my reference of my assignment. May I??

Great summary, thank you taking the time to put this together. I’m sure it’s been a big help to lots of people. It definitely was to me.

I love the analysis… some people do not recognize qualitative or quantitative as an approach but rather have inductive, abductive, and deductive.

This has been helpful in the understanding of research . Thank you for this valuable information.

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This makes my fears on methodology go away. I confidently look forward to working on my methodology now. Thank you so much I ma doing a PhD with UNIMA, School of Education

simple and clear

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Thank you for this very informative and valuable information. What would the best approach be to take if you are using secondary data to form a qualitative study and relying on industry reports and peer journals to distinguish what factors influence the use of say cryptocurrency ?

Thanks for providing the whole idea/knowledge in the simplest way with essential factors which made my entire research process more efficient as well as valuable.

what is about research design such as descriptive, causal-comparative, correlation, developmental where these fall in the research onion?

This is very helpful. Thank you for this wonderful piece. However, it would be nicer to have References to the knowledge provided here. My suggestion

This material is very important for researchers, particularly for PhD scholars to conduct further study.

This was insightful. Thank you for the knowledge.

Thank you for the wonderful knowledge !Easy to understand and grasp.

thanks very much very simple. will need a coach

Hi this is a great article giving much help to my research. I just wanted to mention here that the example where you mentioned that ” schizophrenic symptoms like hallucinations are viewed positively, as they are thought to indicate the person is a spirit medium” is completely false as those are different cases and a bit out of context here. We are medically and psychologically well versed and obviously understand the difference between the two. As much as I am grateful to this article I would like to suggest you to give proper examples.

Thank you very much, sincerely I appreciate your efforts, it is insightful information. Once again I’m grateful .

In short, a complete insight of and for writing research methodology.

This information was very helpful, I was having difficulties in writing my methodology now I can say I have the full knowledge to write a more informative research methodology.

Thank you so much for this amazing explanation. As a person who hasn’t ever done a research project, this video helped me to clear my doubts and approach my research in a clear and concise manner. Great work

very well explained , after going through this there is no need any material to study . a very concise and to the point.

I have one small query. If I choose mixed -methods (quantitative and qualitative techniques), Then, my research Philosophy will also change to both Positivists and Interpretivist. Isn’t?

well explained and thank you

Thanks for this presentation. Quite simple and easy to understand, and to teach others.

Hello! Having made a decision to use a particular research philosophy, how then do we go about justifying that choice with references? Thank you.

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Understanding the Research Onion (Saunders et al., 2015)

• January 18, 2024

• Published: Jan. 18, 2024

This article provides a comprehensive guide to understanding and writing a compelling and effective research methodology chapter of your thesis/dissertation, focusing specifically on the research onion framework by Saunders, Lewis, and Thornhill (2016) .

Table of Contents

Introduction.

Research is an incredibly important tool for understanding and navigating through the world around us. It is defined as a systematic and structured process of gathering data, analyzing information, and drawing conclusions in order to answer research questions or address a specific problem. Research plays a crucial role in shaping policies, decision-making, validating existing ideas, and gaining insights into how the world operates (Sujatha, 2016)

However, conducting research is not an easy task. It often involves a continuous process of inquiry and response, leading to a multitude of questions such as: where do I start from? What research questions should I formulate? What research design or philosophy is best for my study? How do I select the suitable method for data collection/analysis? 

Recent statistics show that academic research demands rigorous commitment and resilience. A study by Styger Vuuren and Heymans (2014) revealed that, in South African universities , the dropout rates for Master’s degrees ranged from 30% to 67% , while for doctoral degrees, the rates were between 50% and 68% . Similarly, Bekova and Dzhafarova (2019) reported that the dropout rate for certain Ph.D. programs in Spain ranges 70% to 90% , while in Australia , it was approximately 30% , and around 50% in the USA . Even the most developed European countries face 40% to 50% dropout rate of engineering students during their first year, and the rate can be as high as 80% for some engineering disciplines (Sultana et al., 2017; Kabashi et al., 2022).

The high dropout rates for postgraduate students can be attributed to a multitude of factors, including individual, institutional, and sociodemographic considerations.

Individual-related factors such as mental health, regret, anxiety, and age have been identified as potential contributors to dropout intentions among postgraduate students (Peng et al., 2022; Nadeem & Palaniappan, 2021). Additionally, the demanding nature of postgraduate studies, inadequate research preparation, and insufficient institutional and financial support have been highlighted as intrinsic (student-related) and extrinsic (institutional-related) factors influencing dropout rates (Cobbing et al., 2017). Furthermore, gender disparities and educational equality have been associated with higher dropout rates among postgraduate female students compared to their male counterparts (Alabi et al., 2019). Socioeconomic factors, such as the cost of education and economic background, have also been recognized as influential in student dropout from postgraduate studies (Nadeem, Palaniappan & Haider, 2021).

Furthermore, institutional factors, such as inexperienced and overburdened supervisors, inadequate research preparation, and insufficient institutional and financial support, have also been recognized as contributors to the high dropout rates for postgraduate students (Cobbing et al., 2017; Styger et al., 2014). Furthermore, the lack of adequate computer literacy, typing skills, and effective internet usage among postgraduate students has been identified as a challenge, particularly in the context of coursework and research (Havenga & Sengane, 2018).

The lack of proper guidance or academic counseling is yet another factor that has been identified as a significant obstacle contributing to the dropout rates of postgraduate students (Schmidt & Umans, 2014; Deri, 2022). Without proper career guidance or academic counseling, students may find themselves in courses that do not align with their interests or career aspirations, leading to dissatisfaction, prolonged or non-completed  studies (Schmidt & Umans, 2014) and, eventually, dropout. Additionally, the lack of experience and competencies in academic writing has been cited as a barrier to progression for PhD students (Litalien & Guay, 2015).

However, despite the complexity and challenges of conducting research, it is important to highlight that there are many resources and tools available to help researchers navigate the process and write a compelling and effective research methodology chapter. One such resource is the research onion framework (Saunders et al., 2016), which provides a comprehensive structure for conducting research and effectively organizing the methodology chapter. The framework provides a roadmap to guide a researcher from the initial stage of a project to the finished product.

In this comprehensive article, we will delve deeper into the research onion framework and explore in detail how it can be effectively used to write a compelling research methodology chapter for your dissertation/thesis. We will also discuss some common misconceptions about research methods and how understanding the onion can help researchers avoid these errors.

1. Defining the Research Onion

The research onion is a concept that describes the stages of planning and designing a research project. It is a metaphorical model used in research methodology to illustrate the various layers or stages involved in the research process. It is based on the idea of layering, with each layer representing a different stage of the research process.

As the word suggests, this process is similar to peeling an onion; as you go deeper into your research project, you will see more layers that need to be peeled off before reaching the core of your data analysis. Each layer of the onion represents a different step in the process of conducting research, and each step builds upon the previous one. The main idea behind the research onion is that researchers need to understand how their decisions at each stage can affect the quality and validity of their findings.

The concept was first developed by Saunders, Lewis, and Thornhill (2009) to visualize the research process and the various stages researchers must go through to achieve a successful outcome. 

The research onion consists of six layers: (1) the research philosophy, (2) the research approach, (3) the research strategy, (4) the research choice, (5) the time horizon, and (6) the data sources. Each layer of the onion has a unique purpose and is fundamental to the success of a research project. The overall research will likely suffer if any of these layers is neglected. Therefore, researchers need to understand the research onion concept and how the layers interact with each other. This understanding can give them the confidence to accurately plan, design, and execute their research projects and ensure that the results are valid and reliable. 

2. The Research Onion's Layers

The diagram below shows the structure of the onion and how each layer provides a different perspective on the research process:

2.1. Research Philosophies

The first layer of the research onion is the research philosophy. This is the outermost layer and represents the researcher’s underlying philosophical beliefs and assumptions. Research philosophy is about how you view the world. It includes your beliefs about the nature of the truth you are investigating: WHAT is important, and WHY is it important?

As such, the researcher should be able to answer the following questions: what personal values do you bring to the topic? How will they influence your choice of methodologies and procedures? What impact might they have on the validity of your results? Bajpai (2011) suggested the research philosophy helps you decide what types of data to collect, how to collect it, and how to analyze it.

Academic studies frequently adopt four distinct philosophical orientations in research: positivism, interpretivism, pragmatism, and realism (Saunders et al., 2007; Žukauskas, Vveinhardt, & Andriukaitienė, 2018).

1.1. Positivism

Positivism is based on the assumption that the world is objective and that scientific methods are the best way to understand it. The advocates of positivism support the idea of objectivism. In other words, reality can be known objectively through systematic observation and measurement. From this viewpoint, researchers are considered objective observers who examine phenomena that are independent of them (Rehman and Alharthi, 2016). They use symbols and words to describe things as they exist without any interference (Rehman & Alharthi, 2016).

The positivist approach is fundamentally rooted in scientific methods, diligently attempting to explain the underlying causes and effects of various phenomena. It is particularly well-suited for quantitative studies, where researchers employ techniques such as surveys, experiments, and simulations to rigorously gather and analyze data (Holden & Lynch, 2004).

1.2. Interpretivism

Interpretivism focuses on understanding human behaviour by closely examining people’s experiences, interpretations, and perspectives (Bajpai, 2011). The advocates of positivism support the idea of subjectivism. They believe reality is subjective and there are no universal truths (Saunders et al., 2009). This means truth must be created and interpreted subjectively. Individuals must make sense of their own experiences to understand and interpret the world around them. Interpretivism often uses qualitative methods such as interviews, focus groups and observations to collect data (Bajpai, 2011).

1.3. Pragmatism

Pragmatism is a philosophical approach that emphasizes practicality or usefulness as the ultimate criterion for judging truth (Saunders et al., 2009). In other words, pragmatism is committed to using evidence and reason to determine what works best in the real world. It focuses on practical outcomes rather than abstract theories. Pragmatist researchers believe in the efficacy of using practical experience and empirical evidence to determine the truth or falsity of propositions.

The meaning of concepts or ideas cannot be ascertained apart from their use in the context of actual situations. Pragmatism is often contrasted with the epistemological perspective, which holds that knowledge can be derived from a source independent of experience. The following research methods are commonly associated with Pragmatism: empirical observation, experimentation, and survey research.

1.4. Realism

Realism is a philosophical position that believes that the world is fundamentally the same as it is in reality and that the only thing that really matters is what is real. Researchers who adhere to this view believe that there are facts out there that exist independently of human thought or perception. While our perceptions may influence what we observe, ultimately the real world exists outside of our experience or belief. As a result, science can provide us with knowledge about these objective realities (Bajpai, 2011).

Despite the inherent disparities among these philosophical approaches, it’s important to note that one isn’t inherently superior to the others. Instead, researchers may tend to gravitate towards a particular philosophy based on their preferences and the nature of their research (Podsakoff et al., 2012).

2.2. Research Approaches

The second layer of the research onion is the research approach. The onion suggests that a research approach must be selected once the appropriate methodology is chosen. 

According to Saunders et al (2015), there are two main approaches to research: inductive and deductive .

2.1. Inductive research

Inductive research is a type of inquiry that starts with specific observations or experiences and then generalizes them to form theories or hypotheses. The inductive approach is based on interpretivism (Temitope and Udayangani, 2015). This means that the researcher uses his or her personal experiences, observations, and knowledge to form theories that explain the phenomenon being studied. For this reason, inductive research is often considered a more qualitative approach than deductive research.

For example:  suppose you are interested in how people use social media to learn about products. In that case, you might start by collecting data through surveys or interviews, asking people about their experiences buying products online or offline and then draw conclusions based on those interviews. We can see here that the researcher goes from specific to general levels of focus.

As outlined by Bryman and Bell (2011), the inductive approach is predominantly employed in qualitative research. This is particularly advantageous because it obviates the necessity for a guiding theory, which, in turn, diminishes the likelihood of researcher bias during the data gathering phase.

Figure 2 below provides a visual representation of the procedural steps entailed in conducting research utilizing an inductive approach:

2.2. Deductive research

Deductive research starts with a hypothesis or theory that has been established by previous research and then seeks evidence to support or reject it. Here, the researcher goes from general principles to make predictions about what will happen in a specific situation. This approach is based on positivism, i.e. the researcher uses objective methods to gather data from many sources in order to make generalizations about human behavior.

2.3. Research Strategies

2.4. methodological choices, 2.5. time horizons, 2.6. data collection & analysis techniques, common mistakes to avoid.

Nephtali Tshitadi

Nephtali Tshitadi is a researcher and professional content writer with more than 5 years of experience. He holds a Masters's qualification (Mcom) in Finance, Honours Degree in Financial Management, and BCom in Economics.

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Developing a good research design is important while undertaking quality social science research, and in this blog Dr Mahesh BT illustrates the different stages in designing a research methodology using the Research Onion framework.

When I joined for my PhD, as many of you, I too was curious about research. Along with the curiosity came seriousness, but only after one of my mentors said: “Your thesis is your brainchild and indeed a reflection of you”. I am here now to share a few of the specifics that I learnt during my PhD journey. I will be discussing how to design and present a robust research methodology. Why do I find this concept very crucial? It is because these answers to research questions are valid and reliable – if they are answered through a systematic method(s). Often we find dissertations with a poorly explained research methodology chapter, which is required to be crystal clear in every step, so I was in search of something that can explain things clearly. During my desk research, I came across various ways and means to design research methodology; one of the most crucial revelations for me was a research vegetable called ‘Research onion’. Let us first see what this research onion is all about.

WHAT IS ‘RESEARCH ONION’?

Saunders et al. (2012) proposed the research onion framework (Figure 1), which explains pictorially the various aspects of the research to be examined and planned in order to come up with a sound research design. In other words, the research onion guides the researcher through all the steps that need to be taken when developing a research methodology.

Saunders et al. (2019), divided the research onion into three levels of decisions: 1. First two outer rings, i.e., Research philosophy and Research approach; 2. Research design which constitutes (a) methodological choices, (b) research strategy and (c) time horizon; and (3) tactics, i.e., the inner core of the research onion, which includes data collection and analysis aspects.

Before we strip the research onion let us do an activity. Take an onion and try to peel it from the inside without using a knife. You tried but could not peel it, the systematic way is to peel it from the outside to inside, and this is what we have to do with the research onion as well.

To develop a sound research methodology scholarly research starts with the research question(s), the objectives followed by the series of decisions on choice of research philosophy, approach to research, then the research design, i.e., methodological choices, research strategy, the time horizon, and the last inner core – data collection and data analysis. All the layers of research onion are interrelated and interdependent. In other words, the choice of philosophy influences the approach, which in turn influences the selection of methodological choice, strategy, time horizon, data collection and analysis.

PEELING OUT THE RESEARCH ONION 

1.RESEARCH PHILOSOPHY Knowingly or unknowingly a researcher will be making numerous assumptions while embarking on research (Burrell and Morgan 2016).

These assumptions are of three types:

• Ontological assumptions –  Assumptions regarding the reality faced in the research or what makes something a reality, and how a researcher can understand existence.
• Epistemological assumptions – Assumptions associated with human knowledge or what forms valid knowledge, whether it can be known, and how a researcher can get it and transfer it.
• Axiological assumptions  -These are assumptions about the level of influence of the researcher’s values on the research process or what is essential and valuable in the research.

Further, these assumptions help a researcher to design the research questions, choose appropriate methods, and influence the interpretation of findings (Crotty 1998). These assumptions altogether form the research philosophy of the study. According to Saunders et al. (2012), the term research philosophy refers to ‘a system of beliefs and assumptions about the development of knowledge’.

The  ontological assumption  is the assumption made by a researcher regarding the nature of reality. Here reality means the study area or a subject domain, such as agricultural extension. The extension fraternity has various assumptions regarding the subject of extension, we assume it to be a study of human (farmers) behaviour, and others say it is the transfer of technology, and so on and so forth. These ontological assumptions may also be with regard to a specific research area in the subject domain. For instance, we study farmers’ adoption of agro-technology, in most adoption studies the researchers presumed that a lower level of adoption (a reality) of technology is the reason for lower crop production. Therefore, the focus was on studying the level of adoption by farmers and how to increase it. On the other hand, some researchers assume technology adoption as a mental process and see that there is low level of adoption everywhere, and so they try to understand why there is a low level of adoption and what are the factors determining the adoption. From this, it is clear that your assumption about the nature of reality (ontology) decides how you view the subject domain (Agricultural Extension) or the research area, which in turn influences what you want to research (what research questions to ask or what research objectives to study).

The  epistemological assumption  is an assumption made by a researcher regarding knowledge. What forms valid and reliable knowledge? How do we acquire and communicate it? We know that the subject matter of agricultural extension is derived from different disciplines. Therefore, the nature of knowledge will be diverse; it may constitute numerical data (e.g., number of women FPOs) to textual data (results of in-depth interview or focused group discussion), or even visual data (social map, resource map, sociogram). In extension research, facts, opinions, narratives and stories constitute valid knowledge, provided it follows a systematic process of enquiry. You will come across various research studies in extension where the researcher has used different epistemology in their research, research purely based on case studies, and some dealing only with factual stuff.

The  axiological assumption  is an assumption made by a researcher regarding the influence of values and beliefs on the research. The researcher tries to be free from values and beliefs intruding into the research or positively considers and acknowledges values and beliefs influencing the research process and the conclusions. Sometimes we need to decide on whether the values and beliefs of the research respondents should be considered or not. Researchers argue, as reported by Saunders  et al.  (2019), that it is very tough to keep ourselves free from the influence of values and beliefs. For instance, as a researcher you might have come across your advisor saying “parametric test is stronger than non-parametric”, “qualitative data gives in-depth understanding about a phenomenon than quantitative data”. What are these assumptions? They are the aspects of research your advisor values more.

At this juncture, you might have questioned yourself – why should I be making assumptions and know the different research philosophies when I can directly collect data, analyse and report the results? There are several aspects for which these assumptions are essential they are listed below.

• Assumptions are your research tour guide; they tell you how to conduct the research, what should be your role – whether you should maintain objectivity or can subjectivity be expressed. They tell you what methods you can follow.
• The researcher has to defend his/her work at various levels. As a student researcher, we get suggestions from the advisory committee or institutional review board to strictly go for quantitative methods with probability sampling, and try to avoid qualitative methods. This is due to the difference in the assumptions or more specifically, the research philosophy they follow. The most challenging is to convince the journal reviewers and editors, there are chances of your paper getting rejected because your philosophy is different from what they follow. Therefore, to show that your overall approach to research is justifiable, you should state your assumptions (research philosophy) very clearly.
• Another issue we come across is sweeping apologies in our dissertation, for instance, a researcher apologises for not interviewing a large number of respondents in qualitative research; and the other one is failing to get an in-depth understanding due to the quantitative nature of research. No! You need not apologise, all that you need to do is follow the standard methods and procedure that suits your research philosophy. Therefore it is very important to understand the various research philosophies.

According to Saunders  et al.  (2019), there are five research philosophies: (1) positivism; (2) critical realism; (3) interpretivism; (4) postmodernism; and (5) pragmatism. The detailed explanation of these five research philosophies is presented in Tables 1 to 5.

2. THE RESEARCH APPROACH OR APPROACH TO THEORY DEVELOPMENT

The second ring in the research onion contains the research approach. If we critically think on what a researcher does in research, we can classify them into three aspects – theory testing, theory building, and theory modification. The point I am trying to make here is that the research we undertake involves the use of theory which we may or may not name in our research design. You will find the essence of theory in the conclusions of research findings. The selection of a particular philosophy that was discussed in the first section will determine the approach you choose for the development of the theory or for the reasoning behind your findings. Further, the approach you select will influence the choice of research design and methods (Babbie 2010).

Source: Developed from Saunders et al. (2019) Note: Application of positivist philosophy in social science research is a matter of scholarly debate. However, a researcher can apply some of the assumptions and methods with caution and rationality.  Suggested reading: Thomas Houghton, Does positivism really ‘work’ in the social sciences? Link: https://www.e-ir.info/2011/09/26/does-positivism-really-%E2%80%98work%E2%80%99-in-the-social-sciences/ 

Source: Developed from Saunders et al. (2019) Suggested reading : Fletcher Amber J. Applying critical realism in qualitative research: Methodology meets method.  Link:   https://www.tandfonline.com/doi/abs/10.1080/13645579.2016.1144401?journalCode=tsrm20 

Source: Developed from Saunders et al. (2019) Suggested reading : Chen Y Y, Shek D T L and Bu F F. 2011. Applications of interpretive and constructionist research methods in adolescent research: Philosophy, principles and examples. International Journal of Adolescent Medicine and Health 23(2).doi:10.1515/ijamh.2011.022 https://pubmed.ncbi.nlm.nih.gov/21870675/

Source: Developed from Saunders et al. (2019) Suggested reading : Rosenau P V. Postmodernism: Methodology. https://doi.org/10.1016/B0-08-043076-7/00692-6    Link : https://www.sciencedirect.com/science/article/pii/B0080430767006926

Source: Developed from Saunders et al. (2019) Suggested reading: Crist J D, Parsons M L, Warner-Robbins C, Mullins M V and Espinosa Y M. 2009. Pragmatic action research with 2 vulnerable populations. Family & Community Health 32(4):320–329. doi:10.1097/fch.0b013e3181b9

According to Saunders et al. (2012), there are three research approaches viz., induction, deduction, and abduction. A brief overview of the research approaches is presented in Table 6.

2.1 In this section I have graphically explained all the three research approaches using flowchart with hypothetical examples. 2.1.1 Inductive approach to research

Suggested reading: Ferguson  K M, Kim M A and McCoy S. 2011. Enhancing empowerment and leadership among homeless youth in agency and community settings: A grounded theory approach. Child and Adolescent Social Work Journal 28(1):122.  https://doi.org/10.1007/s10560-010-0217-6

2.1.2 Deductive approach to research

Suggested reading: Chia-Pin Yu, Shu Tian Cole and Chancellor Charles. 2018. Resident support for tourism development in rural midwestern (USA) communities: Perceived tourism impacts and community quality of life perspective. Sustainability, MDPI, Open Access Journal 10(3):1-17.

2.1.3 Abductive approach to research

You may find some surprising or incomplete observations or conclusions regarding any social aspect; you wanted to study it both empirically as well as know the subjective opinions of people for better understanding. In this situation, you follow the abduction approach in which your research will combine the elements of both the inductive and deductive approaches. To put it in simple words, in abduction ‘You build a theory and then go for its empirical testing’.

Suggested reading: Bristow A, Robinso S K and Ratle O. 2017. Being an early-career CMS academic in the context of insecurity and ‘Excellence’: The dialectics of resistance and compliance. Organization Studies 38(9):1185–1207.

Research design:  It is the overall plan of a research project which involves three distinct but interrelated aspects. They are: methodological choice, research strategy and time horizon. Let us understand them separately. Sanders et al. (2019) classified research designs into three types: (1) quantitative research design; (2) qualitative research design; and (3) mixed methods research design. I have attempted to develop a schematic explanation for qualitative and quantitative research design (Figures 4 and 5, respectively) for better understanding.

3. METHODOLOGICAL CHOICE

Methodological Choice involves   the selection and use of a quantitative, qualitative, or mixed methods research design. In the mono method, a single data collection technique is utilized, followed by corresponding qualitative or quantitative analysis procedures. In the multiple method design, more than one data collection techniques and analysis procedures are employed (Collis and Hussey 2013). Alternatively, a mixed-method approach utilizes both qualitative and quantitative data collection techniques and analysis procedures (Creswell 2013).

According to Saunders et al. (2019), mixed method research can be classified into three ways which are as follows:

• Concurrent mixed methods research: Here a researcher collects both qualitative and quantitative data and analyses them in a single phase study.
• Sequential mixed methods research : Here a researcher collects and analyses data in two phases, which can further be divided into two forms:
• sequential exploratory research design: where a researcher collects and analyses qualitative data in the first phase, followed by quantitative data collection and analysis in the second phase;
• sequential explanatory research design: Here a researcher collects and analyses quantitative data in the first phase followed by qualitative data collection and analysis in the second phase.
• Sequential multi-phase: In this a researcher collects and analyses data in more than two phases, in sequence. For example, qualitative followed by quantitative and then qualitative.

4. THE RESEARCH STRATEGY

The research strategy describes how the researcher aims to carry out the work (Saunders  et al . 2007). There are several research strategies, viz., Experimental design, Survey design, Archival research, Case study, Ethnography, Action research, Grounded theory and Narrative inquiry (Saunders  et al. 2012). Here we can include other research strategies appropriate to our study.

• Experimental design : Here, a researcher tries to study a cause-effect relationship between two or more variables. He/she decides to systematically manipulate the independent variable to study the corresponding changes in the dependent variable.
• Survey design:  Here, a researcher tries to seek answers for ‘what’, ‘who’, ‘where’, ‘how much’ and ‘how many’ types of research questions. Data is collected and analyzed from a sample of individuals.
• Case study: is an empirical inquiry of an individual social unit. Here the researcher tries to seek answers for ‘how’ and ‘why’ questions.
• Action research : A systematic inquiry to address real-life practical problems. Here a researcher tries to find practical solutions for problems through participation and collaboration with members of a social unit.
• Grounded theory:  This is a systematic inductive method for conducting qualitative research to develop a theory.
• Ethnography : is a research strategy adopted to explore cultures and societies. Here a researcher collects data through direct interaction and involvement so as to gain firsthand information from research subjects.
• Archival research: A systematic inquiry wherein primary sources held in archives are studied for evidence collection or deep understanding. Here a researcher does not use secondary sources relevant to the research topic.

5. TIME HORIZON

Research can be grouped into two types based on time, i.e., longitudinal or successive independent samples; and cross-sectional (Bryman and Bell 2015). The longitudinal study refers to the study of a phenomenon or a population over a period of time (Caruana et al. 2015). A cross-sectional study is a ‘snap-shot’ study, it means a phenomenon or a cross-section of the population is studied for one time (Setia 2016). Please read the suggested reading given below to understand one of the longest researches in the history of social science research.

Suggested reading: Hastorf A H 1997. Lewis Terman’s longitudinal study of the intellectually gifted: Early research, recent investigations and the future. Gifted and Talented International 12(1):3–7. doi:10.1080/15332276.1997.11672858

6. DATA COLLECTION AND ANALYSIS 

  The inner circle of research onion is made up of ‘tactics’ which refers to aspects   about the finer details of data collection and analysis. In this section, the following aspects are described.

A. Data collection tools and procedures : Data collection tools such as scale, questionnaire, mail survey, etc., and procedures such as scale construction, interviews, focused group discussion, etc. B. Study Area – A brief description about the study area and why you have selected this locale, supported by reliable data. C. Research population and sampling procedures : Describe the following aspects in this section:

a. Inclusion /exclusion criteria; b. Sample size; c. Sampling method; d. Sampling plan – Flow chart with a table indicating sample details; e. Sourcing samples : Here the researcher has to describe the source of the study samples; it has the following three aspects:

• Source population(N) : This is the group about which the researcher is going to draw inferences and to which the inclusion and exclusion criteria are applied (Example: women farmers of a district – say may be N=1000);
• Study population  (Np): The group which fits the inclusion and exclusion criteria (Example: women farmer growing sunflower, with landholding more than 2 ha and five years of experience, say maybe Np=500);
• Sample (n) : The group selected after following a suitable sampling method, and finally with whom you conduct your study (a representative sample of women sunflower growers sampled from the study population, say maybe n=120).

f.  Sample limitations

D. Study Phases:  describe in how many phases your study will be done (during planning-synopsis) / was done (while reporting in the thesis) if it was done in multiple phases. Explain the list of the tasks using a Gantt chart (Figure 6).

Variables and their measurement:  Describe how the concepts, constructs and the variables were identified; this aspect is linked with the theoretical orientation. Provide the operational definition; it means how the variable is measured, mention the level of measurement also. A schematic table would suffice (for example, see Table 7).

Table 7. List of variables their method of measurement and operational definition

F. Statistical analysis: Mention all the statistics tools applied and software(s) used to analyse the research data (in thesis).

G. Ethical considerations: All the ethical aspects considered in the study need to be clearly planned and mentioned. Mention about respondent consent, how sensitive information (in synopsis) was elicited, if any. Report the approval of Research ethics committees, if applicable.

The difference between a researcher and a non-researcher is, whatever a researcher does she/he does it systematically, justifies logically, subjects it to verification, is always open to criticism, ready for self-correction and explicitly expresses what was done, how it was done, why it was done and what was found. A researcher starts with a research problem, raises questions, and transforms it into workable objectives. To find answers to the research questions, we need a sound research methodology. Research onion is one such framework that helps in designing a robust research methodology; simply put, it will help you to make a series of decisions that allows systematic research. We began with three assumptions, viz., ontological, epistemological and axiological, which constitute our research philosophy. Once we decide on the specific philosophy, an appropriate research approach can be adopted based on the research question and philosophy. The deductive approach is adopted for theory testing, inductive approach for theory building, and abductive approach for theory modification.

Further, these two crucial decisions will guide the next important aspect that is research design, which is made up of three important decisions: 1. Methodological choice – whether to follow a qualitative method, quantitative method or a mixed method; 2. Research strategy; and 3. Time horizon – cross-sectional or longitudinal research. Furthermore, the last decision is about very minute intricacies of research that is data collection, analysis and ethical statement.

Authors’ observation

It is often observed in academic discussions that various aspects of research are presented and (or) perceived to be competitive (quantitative versus qualitative, parametric versus non-parametric, probability sampling versus non-probability sampling, small sample size versus large sample size, experimental design versus non-experimental, cross-sectional versus longitudinal, and so on) rather than complimentary. Every aspect of research has got its own importance and relevance. A research scholar values every logical approach to research, and it is possible only after looking at it through all dimensions via the lenses of different questions (why, what, when, where, who, what).

Acknowledgement

I wish to acknowledge and thank the AESA, CRISP, ICAR-CTCRI, MANAGE, NAARM collaborative National Workshop on ‘Advances in Social and Behavioural Science Research’ held from 12 to 17 November 2018 at ICAR-CTCRI, Kerala. This event was an eye opener for me which oriented me towards social science research methodology, and indirectly helped me in my PhD research.  

Babbie E. 2010. The practice of social research. 12th Edition. Belmont, USA: Wadsworth.

Bristow A, Robinson S K and Ratle O. 2017.Being an early career CMS academic in the context of insecurity and ‘Excellence’: The dialectics of resistance and compliance’. Organization Studies 38(9):1185–1207.

Bryman A and Bell E. 2015. Business research methods Oxford: Oxford University Press.

Burrell G and Morgan G. 2016. Sociological paradigms and organisational analysis. Abingdon: Routledge (originally published by Heinemann 1979).

Caruana E J, Marius Roman, Jules Hernández-Sánchez and Piergiorgio Soll. 2015. Longitudinal studies. Journal of Thoracic Disease 7(11):537–540. doi: 10.3978/j.issn.2072-1439.2015.10.63. Retrieved from https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4669300/

Chen Y Y, Shek D T L and Bu F F. 2011. Applications of interpretive and constructionist research methods in adolescent research: Philosophy, principles and examples. International Journal of Adolescent Medicine and Health 23(2).  doi:10.1515/ijamh.2011.022  https://pubmed.ncbi.nlm.nih.gov/21870675/

Chia-Pin Yu, Shu Tian Cole and Charles Chancellor.2018. Resident support for tourism development in rural midwestern (USA) communities: Perceived tourism impacts and community quality of life perspective. Sustainability, MDPI, Open Access Journal 10(3):1-17.

Crist J D, Parsons M L, Warner-Robbins C, Mullins M V and Espinosa Y M. 2009. Pragmatic action research with 2 vulnerable populations. Family & Community Health 32(4):320–329. doi:10.1097/fch.0b013e3181b91f

Crotty M. 1998. The foundations of social research: Meaning and perspective in the research process. London: Sage.

Collis J and Hussey R. 2013. Business research: A practical guide for undergraduate and postgraduate students. Macmillan International Higher Education.

Creswell J W. 2013. Qualitative inquiry & research design; choosing among five approaches. Third edition. Thousand Oaks, CA: Sage.

Ferguson K M, Kim M A and  McCoy S. 2011. Enhancing empowerment and leadership among homeless youth in agency and community settings: A grounded theory approach. Child and Adolescent Social Work Journal 28(1):1-22.  https://doi.org/10.1007/s10560-010-0217-6

Hastorf A H. 1997. Lewis Terman’s longitudinal study of the intellectually gifted: Early research, recent investigations and the future. Gifted and Talented International 12(1):3–7. doi:10.1080/15332276.1997.11672858

Saunders M, Lewis P and Thornhill A. 2007. Research methods for business students. (6th ed.) London: Pearson.

Saunders M, Lewis P and Thornhill A. 2019. Research methods for business students. Eighth edition. London: Pearson.

Setia M S. 2016. Methodology series module 3: Cross-sectional studies. Indian Journal of Dermatology 61:261-4. Retrieved from  http://www.e-ijd.org/text.asp?2016/61/3/261/182410

Thomas Houghton. 2011.Does positivism really ‘work’ in the social sciences? Link: https://www.e-ir.info/2011/09/26/does-positivism-really %E2%80%98work%E2%80%99-in-the-social-sciences/

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Very interesting blog. Enjoyed reading it. I do have a small difference of with respect to one of the statements. Author says ‘you need not be apologetic in saying that sample was small or methods limit interpretation’. I am a firm believer of transparent communication and I feel that it is the role of a researcher to know the limits of the study and also communicate it to the readers, and there is nothing to be apologetic about it (Bsically I disagree with the term too). Infact I see many paper where they make very strong causal statements, when the methods are not really designed for it which I see as a more serious concern. This is my humble opinion, as academician I really enjoyed the blog. I appreciate the efforts of the author in elaborating on a very Important topic.

Thank you Aditya, thank you for your observations and. The very purpose of this blog was to make things systematic and clear. Yes the author strongly believe in reporting every aspect of the research including limitations provided they are indeed limiting the research design. Here the author is trying to state that when the research design demands or permits certain conditions those conditions should not be expressed as limitations, and it doesn’t imply any aspect should be hidden. I welcome your disagreements in the usage of words, we can disagree to agree. I strongly agree with you that even I enjoyed working on this blog. Thank you once again.

Well written.

Very comprehensively covering different paradigms in research methodology, with interesting analogy, Dr Mahesh could peel out research onion, explaining each layer starting from research philosophy to the data collection. Congratulations to Dr Mahesh. Further one important inner layer could be added to the onion, which would make it complete-the layer of research reporting/research communication. Unless we plan how we are going to communicate our research to the others, and communicate effectively through research paper, conference etc., research remains incomplete.

Very Good effort to write the blog to make research methodology easy to understand, Dear Mahesh , I enjoyed reading it

Research Philosophy

Research philosophy is a vast topic and here we will not be discussing this topic in great details. Research philosophy is associated with assumption, knowledge and nature of the study. It deals with the specific way of developing knowledge. This matter needs to be addressed because researchers may have different assumptions about the nature of truth and knowledge and philosophy helps us to understand their assumptions.

In business and economics dissertations at Bachelor’s level, you are not expected to discuss research philosophy in a great level of depth, and about one page in methodology chapter devoted to research philosophy usually suffices. For a business dissertation at Master’s level, on the other hand, you may need to provide more discussion of the philosophy of your study. But even there, about two pages of discussions are usually accepted as sufficient by supervisors.

Discussion of research philosophy in your dissertation should include the following:

• You need to specify the research philosophy of your study. Your research philosophy can be pragmatism , positivism , realism or interpretivism as discussed below in more details.
• The reasons behind philosophical classifications of the study need to be provided.
• You need to discuss the implications of your research philosophy on the research strategy in general and the choice of primary data collection methods in particular.

The Essence of Research Philosophy

Research philosophy deals with the source, nature and development of knowledge [1] . In simple terms, research philosophy is belief about the ways in which data about a phenomenon should be collected, analysed and used.

Although the idea of knowledge creation may appear to be profound, you are engaged in knowledge creation as part of completing your dissertation. You will collect secondary and primary data and engage in data analysis to answer the research question and this answer marks the creation of new knowledge.

In respect to business and economics philosophy has the following important three functions [2] :

• Demystifying : Exposing, criticising and explaining the unsustainable assumptions, inconsistencies and confusions these may contain.
• Informing : Helping researchers to understand where they stand in the wider field of knowledge-producing activities, and helping to make them aware of potentialities they might explore.
• Method-facilitating : Dissecting and better understanding the methods which economists or, more generally, scientists do, or could, use, and thereby to refine the methods on offer and/or to clarify their conditions of usage.

In essence, addressing research philosophy in your dissertation involves being aware and formulating your beliefs and assumptions.  As illustrated in figure below, the identification of research philosophy is positioned at the outer layer of the ‘research onion’. Accordingly it is the first topic to be clarified in research methodology chapter of your dissertation.

Research philosophy in the ‘research onion’ [2]

Each stage of the research process is based on assumptions about the sources and the nature of knowledge. Research philosophy will reflect the author’s important assumptions and these assumptions serve as base for the research strategy. Generally, research philosophy has many branches related to a wide range of disciplines. Within the scope of business studies in particular there are four main research philosophies:

• Interpretivism (Interpretivist)

The Choice of Research Philosophy

The choice of a specific research philosophy is impacted by practical implications. There are important philosophical differences between studies that focus on facts and numbers such as an analysis of the impact of foreign direct investment on the level of GDP growth and qualitative studies such as an analysis of leadership style on employee motivation in organizations.

The choice between positivist and interpretivist research philosophies or between quantitative and qualitative research methods has traditionally represented a major point of debate. However, the latest developments in the practice of conducting studies have increased the popularity of pragmatism and realism philosophies as well.

Moreover, as it is illustrated in table below, there are popular data collection methods associated with each research philosophy.

 Research philosophies and data collection methods [3]

My e-book,  The Ultimate Guide to Writing a Dissertation in Business Studies: a step by step assistance contains discussions of theory and application of research philosophy. The e-book also explains all stages of the  research process  starting from the  selection of the research area  to writing personal reflection. Important elements of dissertations such as  research philosophy ,  research approach ,  research design ,  methods of data collection  and  data analysis  are explained in this e-book in simple words.

John Dudovskiy

[1] Bajpai, N. (2011) “Business Research Methods” Pearson Education India

[2] Tsung, E.W.K. (2016) “The Philosophy of Management Research” Routledge

[3] Table adapted from Saunders, M., Lewis, P. & Thornhill, A. (2012) “Research Methods for Business Students” 6 th  edition, Pearson Education Limited

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Understanding research philosophies and approaches 4 LEARNING OUTCOMES

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After many years of working with undergraduate, postgraduate and research students we recognise only too well the struggles that they often experience wrestling with the somewhat strange and seemingly obtuse language used to describe research philosophy. We once experienced similar difficulties and empathise with the confusion and lack of confidence that flows from being unclear whether you have really understood terms such as methodology, ontology or epistemology. We set out to produce a text that dealt with two problems. The first was to provide something that guides novice researchers through the whole process from identifying a topic to the writing up of findings via engagement with the literature and a brief overview of both qualitative and quantitative techniques. The second problem we wanted to tackle related to what we often refer to as ‘the ologies’. Here we wanted to offer a structured approach to familiarising yourself with the terminology and to demonstrate how a nested set of descriptions builds towards a coherent, comprehensive and consistent articulation of your research paradigm. We are indebted to our colleagues for their help in delivering on the first of these two problems in the first edition of the book. This was achieved at a pace which seemed frankly ridiculous but which produced a remarkably coherent guide for novice researchers. Despite positive feedback on many aspects of the first edition from both students and colleagues, we were however convinced that we could improve in relation to ‘the ologies’. For this reason, the second edition features some relatively minor changes to many chapters and a complete rewrite of our account of research philosophy. Central to the revised text is the methods map (see Chapter 4), which sets out a logical process for researchers to articulate their position in relation to five key aspects of their research philosophy. We have road tested this approach with many colleagues and students to ensure that it is clear and concise. In addition, we have developed a free app to accompany the book and this enables novice researcher to quickly develop a comprehensive justification of their particular research design in an interactive way. We would acknowledge that the methods map makes some simplifications and would suggest that for all but the most sophisticated of purposes, this is entirely appropriate. Indeed, if you are well enough versed in the philosophical nuances of knowledge explored in the method map then you are probably not part of our intended audience since you already possess the skills, confidence and capacity to articulate and defend the underpinning philosophical assumptions of your research. For everyone else, we hope that the second edition of Research Methods for Business and Management helps demystify the dreaded ‘ologies’.

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Understanding Research Onion for Research Methodology

Research onion is a framework for developing different types of research methodology, depending upon the objective of the study. Research onion was developed by Saunders et al (2007) in their book “Research Method for Business Students”. The model consists of multiple layers that are arranged in a way similar to the layers of an onion.

Research Onion Methodology Examples

The outermost layer represents four types of research philosophies that include positivism , interpretivism , pragmatism , and realism  (Saunders, 2007) .  The first decision is to choose a research philosophy to develop foundation of the overall research methodology.

Quantitative Research

The purpose of quantitative research is to understand patterns, causes, and relationship between different variables. Quantitative research is actually positivist research that aims to validate hypothesis derived from existing theories. Such studies are based on deductive reasoning approach. These studies intend to test existing theories by utilizing a specific dataset collected from samples. Explanatory research  is a type of investigation used in quantitative research to explain statistical relationship between variables within the scope of the study (Seakran, 2003). Monomethod quantitative research uses only one method to gather data from sources and performing analysis of data.

Also Read: Time Horizon in Research onion

Qualitative Research

Qualitative research aims to understand different process, subject, or phenomenon. Interpretivist studies are qualitative research aiming to develop a deeper understanding of the underlying phenomenon. E thnographic research, phenomenological research, case study, grounded theory , and action theory  are different types of qualitative research. The purpose of inductive reasoning is to develop theories using organized observation and analysis of observations. In these studies, researchers do not use hypothesis testing to test existing theories but rather focus on developing new theories.

Mixed Research

Mixed research is a combination of qualitative and quantitative research. Pragmatism enables researchers to develop research methodology that can address the research objectives and problem statement effectively. Pragmatism is flexible and not based on limitations of qualitative and quantitative research. Mixed research integrates advantages of qualitative and quantitative research within a single study to overcome their respective limitations. Such research is sequential that understands a phenomenon and tests the hypothesis derived from findings of the study.Researchers use the sequential approach of employing inductive and deductive reasoning in such studies (Creswell, 2007).

Creswell. (2007). Research Design- Qualitative and mixed methods approaches.  London: Sage Publishers. Saunders, M. L. (2007). Research methods for business students  (5th ed.). Essex: Pearson Education Limited. Seakran, U. (2003). Research Methods for Business.  United States: John Wiley and Sons. Retrieved from https://iaear.weebly.com/uploads/2/6/2/5/26257106/research_methods_entiree_book_umasekaram-pdf-130527124352-phpapp02.pdf

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