Qualitative vs Quantitative

So blogs..we meet again.

I’ll admit. I was one of those people who thought ‘no statistics? no problemo’. Surely research involving next to no figures would be far more simple and..dare I say it..well just a little bit of common sense..but Dr Tracey Lloyd has succeeded in convincing me otherwise.

On the face of it Quantitative data would seem like the more scientific approach to analysing data. Quantitative research is the method which involves the analysis of numerical data in order to measure our experiment. The purpose of Quantitative data would be to quantify data and generalise the results from the sample in question to the population of interest. It is also used in order to measure the frequency of various views and opinions in a chosen sample.

When we are conducting an experiment with the use of quantitative research we would usually opt to using large number of cases representing the population of interest and participants are selected at random.

Qualitative research produces rich data, and provides us with a deep understanding of the participant and what they have said. In other words qualitative research helps us to gain an understanding of the underlying reasons and motivations and to provide insights into their world, which is pretty interesting. Qualitative method can be used by the use of questionnaires, focus groups, observations and the like. This means that we are also able to access a contextual understanding. By the means of transcription we are able to analyse each line of what was said during the study.

An important difference between these two types of research is the underlying assumptions about the role of the researcher. In quantitative research, the researcher is ideally an objective observer that neither participates in nor influences what is being studied. In qualitative research, however, it is thought that the researcher can learn the most about a situation by participating and/or being immersed in it. These basic underlying assumptions of both methodologies guide and sequence the types of data collection methods employed.

If I were to sit here arguing which I deemed more scientific, I think I would find myself going around in circles. On one hand there’s the concept that “There’s no such thing as qualitative data. Everything is either 1 or 0” as said by the researcher Fred Kerlinger. On the other hand one could argue that “all research ultimately has a qualitative grounding” D. T. Campbell.  Although the quantitative approach is the more traditional approach I believe that qualitative methods have an equal importance in it’s role played in research.

6 Comments

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6 responses to “Qualitative vs Quantitative

  1. I agree with your statements about qualitative data. It is a lot more complex then I first perceived it to be. You mention the role of the researcher as a differentiating point between qualitative and quantitative research. True, it is, and the roles the researcher plays in both qualitative and quantitative design have both positive outcomes. This is especially relevant in qualitative design where the researcher’s involvement could have a potentially confounding effect on the data. However good practise has recognised this and turned it on its head, as the idea of reflexivity aids in controlling any bias/subjective-ness the researcher may have towards the data. Reflexivity encourages acceptation that the researcher can influence the research (Stiles, 1993)1, both personally (personal reflexivity) and as a theorist (Epistemological reflexivity) (Willig, 2008).
    You should also consider the benefits of a mixed design, in which there is contributing elements of both qualitative and quantitative research. The qualitative methods allow for a research question to be drawn, with evidence, which is particularly useful in novel or new fields and then we furthermore we can quantify this question with statistical evidence (Kelle, 2008)2, mixed method research in community psychology was completed by Langhout (2003)3.

    1http://0-www.sciencedirect.com.unicat.bangor.ac.uk/science?_ob=MiamiImageURL&_cid=271858&_user=899436&_pii=027273589390048Q&_check=y&_origin=gateway&_coverDate=31-Dec-1993&view=c&wchp=dGLbVlt-zSkzS&_valck=1&md5=307fcf8c0fa2f90c19624da81830f866&ie=/sdarticle.pdf
    2 http://0-www.tandfonline.com.unicat.bangor.ac.uk/doi/pdf/10.1177/1478088706070839
    3 http://0-www.springerlink.com.unicat.bangor.ac.uk/content/t1013765j425355h/fulltext.pdf

  2. I agree that there is a place for qualitative research as some studies like Thigpen and Cleckly’s (1957) looking at the multiple personality’s of a lady called Eve. The study predominately used interviews where the researchers got fully involved in Eve’s life. The research they presented would be impossible in a quantitative method.

    A further point and advantage of qualitative methods is that they can take place in natural settings reducing the chances of demand characteristics where the participant tries to act as they think the researcher wants them to. A famous example of a study in a natural environment is a study called Good samaritanism. An underground phenomenon? (Pilivin ,1969) The experiment looked at the way strangers would help a person in need on the underground. Taking place in the natural setting increases the chances of measuring what was intended, hence having high validity.

  3. i think you went into really good detail about qualitative and quantitative methods, however you could have mentioned the different types of qualitative methods, for example line-by-line analysis. Really good blog though, well done!

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