Both qualitative and quantitative methods of user research play important roles in product development.
This article has been cited by other articles in PMC. Abstract Background In this methodological paper we document the interpretation of a mixed methods study and outline an approach to dealing with apparent discrepancies between qualitative and quantitative research data in a pilot study evaluating whether welfare rights advice has an impact on health and social outcomes among a population aged 60 and over.
Methods Quantitative and qualitative data were collected contemporaneously. Quantitative data were collected from men and women aged over 60 within a randomised controlled trial.
A range of demographic, health and social outcome measures were assessed at baseline, 6, 12 and 24 month follow up. Qualitative data were collected from a sub-sample of 25 participants purposively selected to take part in individual interviews to examine the perceived impact of welfare rights advice.
Results Separate analysis of the quantitative and qualitative data revealed discrepant findings. The quantitative data showed little evidence of significant differences of a size that would be of practical or clinical interest, suggesting that the intervention had no impact on these outcome measures.
The qualitative data suggested wide-ranging impacts, indicating that the intervention had a positive effect. Six ways of further exploring these data were considered: Conclusion The study demonstrates how using mixed methods can lead to different and sometimes conflicting accounts and, using this six step approach, how such discrepancies can be harnessed to interrogate each dataset more fully.
Not only does this enhance the robustness of the study, it may lead to different conclusions from those that would have been drawn through relying on one method alone and demonstrates the value of collecting both types of data within a single study.
More widespread use of mixed methods in trials of complex interventions is likely to enhance the overall quality of the evidence base.
Background Combining quantitative and qualitative methods in a single study is not uncommon in social research, although, 'traditionally a gulf is seen to exist between qualitative and quantitative research with each belonging to distinctively different paradigms'.
There is published work on the various ways that qualitative methods are being used in RCTs e. In terms of purpose, qualitative research may be used to help identify the relevant variables for study [ 17 ], develop an instrument for quantitative research [ 18 ], to examine different questions such as acceptability of the intervention, rather than its outcome [ 19 ]; and to examine the same question with different methods using, for example participant observation or in depth interviews [ 1 ].
Process includes the priority accorded to each method and ordering of both methods which may be concurrent, sequential or iterative. Brannen [ 1 ] suggests that most researchers have taken this to mean more than one type of data, but she stresses that Denzin's original conceptualisation involved methods, data, investigators or theories.
Bringing different methods together almost inevitably raises discrepancies in findings and their interpretation. However, the investigation of such differences may be as illuminating as their points of similarity.
In doing so, we demonstrate how the combination of quantitative and qualitative data led us to conclusions different from those that would have been drawn through relying on one or other method alone. The study that forms the basis of this paper, a pilot RCT to examine the impact of welfare rights advice in primary care, was funded under the UK Department of Health's Policy Research Programme on tackling health inequalities, and focused on older people.
To date, little research has been able to demonstrate how health inequalities can be tackled by interventions within and outside the health sector. Although living standards have risen among older people, a common experience of growing old is worsening material circumstances.
We undertook a pragmatic RCT which aimed to evaluate the health effects of welfare rights advice in primary care among people aged over Quantitative data included standardised outcome measures of health and well-being, health related behaviour, psycho-social interaction and socio-economic status ; qualitative data used semi-structured interviews to explore participants' views about the intervention, its outcome, and the acceptability of the research process.Merging Qualitative and Quantitative Data in Mixed Methods Research: How To and Why Not David L.
Driscoll1, and to discuss some of the benefits and challenges of mixed method research. We hope to This data collection strategy has several advantages for mixed-methods applications. First, they.
Ethical issues in Psychological research Ethics are the moral codes laid down by professional bodies to ensure that their members or representatives adhere to certain standards of behaviour.
40 Chapter 3 • Quantitative Versus Qualitative Research, or Both? An example of this design is a study completed by Al-Kandari, Vidal, and Thomas () examining the . The decision to select the method largely depends on the researcher’s judgment as well as the nature of the research topic.
Some research topics are better studied using quantitative methods while others are more appropriately explored using qualitative methods. The Cons of Quantitative Research. Here are the main disadvantages of quantitative research: • Needs a Huge Sample of Population: In using this type of research, you need to find great numbers of correspondents.
The larger the sample of people, the more statistically accurate the outputs will be. Quantitative research, is defined as a the systematic investigation of phenomena by gathering quantifiable data and performing statistical, mathematical or computational techniques.
Learn more about quantitative research methods along with types and examples, characteristics and advantages. Also learn about primary and secondary quantitative research along with techniques and types of studies.