Qualitative vs Quantitative vs Mixed Methods Research: How To Choose Research Methodology

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In this video, we are going to  explore qualitative, quantitative and   mixed methods research methodologies. We  will also explain how to choose the right   methodological approach for your dissertation,  thesis or research project step by step.   So, grab a cup of coffee, grab a cup of tea  whatever works for you and let us jump into it. Hey, welcome to Grad Coach TV where we demystify  and simplify the oftentimes intimidating world of   academic research. My name is Emma, and today  we are going to have a look at the three types   of research. Qualitative, quantitative and mixed  methods and how to choose the right approach. We   will look at things from a fairly high level and  will not go into the weeds in terms of specific   data analysis methods. If you want to learn about  particular analysis methods, we have got separate   videos covering both qualitative and quantitative  methods. I will include the links to those below.   If you are new to Grad Coach TV, be sure to hit  that subscribe button for more videos covering   all things research related. Also, if you are  looking for hands-on help with your research   check out our one-on-one coaching services  where we help you craft your research project   step by step. It is like having a friendly  professor in your pocket whenever you need   it. If that sounds interesting to you, you  can learn more and book a free consultation   at www.gradcoach.com. Alright, with  that out of the way let us get into it. If you are new to the wonderful world of research  some of the first lingoes you will likely   hear thrown around are the terms qualitative,  quantitative and mixed methods research. But what   exactly are these? Well simply put qualitative,  quantitative and mixed methods reflect the three   types of research that you can undertake.  These are not specific data collection or   analysis techniques but instead, they reflect the  broader research strategies that will influence   which data collection and analysis techniques  you can adopt. For example, if you undertake   quantitative research, you will oftentimes  use surveys as your data collection method   and statistical analysis as your data analysis  technique. In other words qual, quant and mixed   methods are overarching strategies, not specific  techniques or methods. Anyhow, I am getting ahead   of myself. Let us take a step back and unpack each  of the three types of research piece by piece. First up let us look at qualitative and  quantitative research. At the most basic level,   qualitative research utilizes data that is  not numbers based. In other words, qualitative   research focuses on words, concepts, perceptions  or ideas. In contrast with this quantitative   research makes use of numbers and statistics.  That is a very simplistic explanation though as   it is just considering the type of data each one  uses. So, let us dig a little deeper. Qualitative   research is used to investigate the softer side  of things. For example, to explore and understand   people's perceptions, ideas or feelings. Therefore  it is more subjective in nature. Qualitative   research is often used to gain a deeper  understanding of the complexity of a situation to   draw a rich picture of what is going on especially  what is going on under the hood. Therefore   qualitative data can be used to develop hypotheses  and theories from the ground up. In other words,   an inductive approach. For example, you could use  a qualitative approach to explore what factors   or product attribute customers consider when  deciding which laundry detergent to purchase.   This could involve undertaking interviews and  focus group sessions to get people talking   about their ideas, perceptions and feelings  regarding laundry detergent. Contrasted to this   quantitative research focuses on the hard numbers.  Typically quantitative research is used to measure   differences between groups and or relationships  between variables, as well as to test hypotheses.   Therefore it is more objective in  nature and takes a deductive approach.   For example, you could use a quantitative approach  to measure what percentage of people prioritize   price or any other variable when choosing  a laundry detergent. You could also assess   how this percentage varies between neighbourhoods,  cities or different demographic groups. So, as you   can see, qualitative and quantitative approaches  can both be used to research different aspects   of the same topic or area of interest. Right,  moving on to mixed methods. Mixed methods-based   research as you would expect attempts to bring  these two types of research together drawing on   both qualitative and quantitative data. Quite  often mixed methods-based studies will use   qualitative research to explore a situation  and develop a set of hypotheses. Then   once those hypotheses are established, they will  use quantitative methods to test them. It can also   work the other way around. For example, they could  use a quantitative approach to get a view of the   bigger picture, the what, and then use qualitative  methods to explore the underlying reasons,   the why, for a specific trend or observation  in the quantitative data. So, as you can see   while qualitative and quantitative research  are distinctly different, they are not at   odds with each other. It is not a competition  of qualitative versus quantitative where one is   better than the other. On the contrary, they can  be used together, in other words, mixed methods   to develop a high-quality piece of research.  Of course, this is easier said than done so we   usually recommend that first-time researchers  stick to a mono method approach, either qual   or quant unless the nature of their study  genuinely warrants a mixed methods approach.   The key takeaway here is that it is important to  understand that each research type has a different   purpose. For example, to explore and understand  situations qualitative, to test and measure   quantitative or to do both mixed methods. They  are not simply interchangeable tools for the   same job. Each approach has its purpose.  Right, with that out of the way let us look   at how you can go about choosing the right  methodological approach for your research. If you are undertaking a dissertation, thesis  or research project chances are you will need   to craft a comprehensive research design  and methodology. This is not a task to be   taken lightly as you will need to clearly and  strongly justify every design choice you make.   To choose the right approach you will need to  consider three important factors. Based on these   factors you can select your overarching approach.  Qualitative, quantitative or mixed methods. Once   you have made that decision you can flesh out  the finer details of your research methodology   such as the sampling strategy, data collection  methods and analysis techniques. We will not   cover the latter in this video but you can find  loads of information over on the Grad Coach blog.   I will include the link below. The three factors  you need to carefully consider are one, the nature   of your research aims and research questions.  Two, the methodological approaches taken in the   existing literature and three, practicalities and  constraints. Let us take a look at each of these. Factor number one, the nature of your research. As  I mentioned earlier each type of research whether   qualitative, quantitative or mixed has a different  purpose and helps address a different type of   question. So, it is logical that the key deciding  factor in terms of which approach you adopt is   the nature of your research aims and research  questions. But what types of research aims exist?   Broadly speaking research aims can fall  into one of three categories. Exploratory,   in other words getting a better understanding  of an issue and potentially developing a theory   or set of hypotheses regarding  it. Confirmatory, in other words   confirming a potential theory or hypothesis  by testing it empirically. A mix of both,   for example, developing a set of hypotheses  and then testing them. So, what does this mean   for you? Well, as a rule of thumb exploratory  research tends to adopt a qualitative approach   whereas confirmatory research tends to use a  quantitative approach. This is not set in stone   but it is a reliable heuristic. Naturally  then research that combines a mix of both or   seeking to develop a theory from the ground  up and then test that theory, would utilize   a mixed methods approach. Let us take a look  at an example in action. If your research aims   were to understand the perspectives of war  veterans regarding certain political matters   you would likely adopt a qualitative methodology,  making use of interviews to collect data and   one or more qualitative analysis methods to  make sense of the data. If on the other hand,   your research aims to assess the distribution  of left versus right-leaning veterans per state   or compare the political leanings between vets  and non-vets, you would adopt a quantitative   methodology using numbers-based data from a survey  to address your research aims. So, the first   and most important thing you need to consider when  deciding which methodological approach to use,   is the nature of your research aims and research  questions. Specifically, you need to assess   whether your research is exploratory or  confirmatory in nature or involves a mix of   both. The importance of achieving solid alignment  between these three factors and your methodology   cannot be overstated. If they are misaligned you  are going to be forcing a square peg into a round   hole. You will be using the wrong tool for the job  and your research will become a disjointed mess.   A quick tip, if your research involves a mix of  both exploratory and confirmatory aims but you   have a tight word count limit, you may want  to consider trimming down the scope a little   and focusing on one or the other. A mono method  approach executed well has a far better chance of   earning marks than a poorly executed mixed methods  approach. So, do not try to be a hero unless   there are strong reasons to take a mixed method  approach. Right, let us look at the next factor. Factor number two, the disciplinary norms.  Choosing the right approach for your research also   involves looking at the approaches used by other  researchers in the field and studies with similar   research aims and objectives to yours. Oftentimes  within a discipline, there is a commonly accepted   methodological approach or set of approaches used  in studies. While this does not mean you should   just follow the herd simply because, you should  at least consider these approaches and evaluate   their merit within your context. A major benefit  of reviewing the research methodologies used by   similar studies in your field is that you  can often piggyback on the data collection   techniques that other more experienced  researchers have developed. For example,   if you are undertaking a quantitative study, you  can often find tried and tested survey scales with   high Cronbach's alphas. These are usually included  in the appendices of journal articles so you do   not even have to contact the original authors.  By using these scales you will save a lot of time   and ensure that your study stands on the  proverbial shoulders of giants by using   high-quality measurement instruments. Of  course, when reviewing existing literature   keep point number one front of mind. In other  words, your methodology needs to align with   your research aims and research questions. Do not  fall into the trap of adopting the methodological   norm of other studies just because it is popular.  Alright, now let us look at the last factor. Factor number three, practicalities. When choosing  a research methodology there will always be a   tension between doing what is theoretically best,  in other words, the most scientifically rigorous   research design and doing what is practical given  your constraints. This is the nature of research   and there are always trade-offs as with anything  else. But what constraints you ask? Well,   there are a few when you evaluate your  methodological options you will need to consider   the following constraints and ask yourself some  important questions. Number one, data access.   What data will you need to access to pull off your  analysis and how likely is it that you will get   this access. Also, are there any ethical clearance  requirements you will need from your university?   Number two, time. How much time will you need  to undertake interviews or focus groups in the   case of qualitative or collect a sufficient number  of survey responses in the quantitative or both?   If you are wanting to undertake longitudinal  research, what sort of timeline will you need   and will your university allow this. Number three,  money. What financial resources will you need to   execute your research design? Will you need  to spend money on participation incentives,   travel costs, snacks and drinks, meeting  facilities or other services? Number four,   equipment and software. What equipment might  you need for collecting data? For example,   lab equipment or recording equipment. What  software will you need to analyse the data   and how will you get access to this. And  lastly number five, your knowledge and skills.   What is your current level of competence and  experience in terms of the data collection   and analysis methods you plan to use, and  what will you still need to learn? How long   will this take and how confident are you in  your ability to acquire the necessary skills?   What will your backup plan be if you cannot  develop the necessary skills? As you can see there   is a wide range of practicalities and constraints  that you need to think about when you are deciding   on your research design and methodology. As  I mentioned these practicalities create a   tension between the ideal methodology and the  methodology that you can realistically pull off.   This is perfectly normal and it is your job  to find the option that presents the best set   of trade-offs. If you carefully consider these  three factors and design your methodology in a   way that strikes a good balance between research  rigour and practicality or viability, you will be   headed in a good direction. Remember you can learn  more about the various research design choices   including data collection and analysis methods  over on the Grad Coach blog at gradcoach.com/blog. Alright, so that wraps it up for today. If you  enjoyed the video hit the like button and leave   a comment if you have any questions. Also, be  sure to subscribe to the Grad Coach channel   for more research-related content. If you  need a helping hand with your research,   remember to check out our private coaching service  where we work with you on a one-on-one basis,   chapter by chapter to help you craft  a winning dissertation or thesis. If   that sounds interesting to you book a  free consultation with a friendly coach   at gradcoach.com. That is all for this episode  of Grad Coach TV. Until next time, good luck.
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Channel: Grad Coach
Views: 17,626
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Keywords: qualitative vs quantitative, qualitative vs quantitative research, qualitative vs quantitative methods, qualitative research, quantitative research, qualitative analysis, quantitative analysis, quantitative and qualitative data, qualitative data, quantitative data, qualitative vs quantitative observations, qualitative and quantitative research, qualitative and quantitative, qualitative and quantitative analysis
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Length: 17min 38sec (1058 seconds)
Published: Mon Sep 27 2021
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