Helen Noble

Bio: Helen Noble is an academic researcher from Queen's University Belfast. The author has contributed to research in topics: Palliative care & Population. The author has an hindex of 19, co-authored 132 publications receiving 2480 citations. Previous affiliations of Helen Noble include Queen Mary University of London & Queen's University.

Issues of validity and reliability in qualitative research

Abstract: Evaluating the quality of research is essential if findings are to be utilised in practice and incorporated into care delivery. In a previous article we explored ‘bias’ across research designs and outlined strategies to minimise bias.1 The aim of this article is to further outline rigour, or the integrity in which a study is conducted, and ensure the credibility of findings in relation to qualitative research. Concepts such as reliability, validity and generalisability typically associated with quantitative research and alternative terminology will be compared in relation to their application to qualitative research. In addition, some of the strategies adopted by qualitative researchers to enhance the credibility of their research are outlined. Assessing the reliability of study findings requires researchers and health professionals to make judgements about the ‘soundness’ of the research in relation to …

Triangulation in research, with examples

Abstract: Triangulation is a method used to increase the credibility and validity of research findings.1 Credibility refers to trustworthiness and how believable a study is; validity is concerned with the extent to which a study accurately reflects or evaluates the concept or ideas being investigated.2 Triangulation, by combining theories, methods or observers in a research study, can help ensure that fundamental biases arising from the use of a single method or a single observer are overcome. Triangulation is also an effort to help explore and explain complex human behaviour using a variety of methods to offer a more balanced explanation to readers.2 It is a procedure that enables validation of data and can be used in both quantitative and qualitative studies. Triangulation can enrich research as it offers a variety of datasets to explain differing aspects of a phenomenon of interest. It also helps refute where one dataset invalidates a supposition generated by another. It can assist the confirming of a hypothesis where one set of findings confirms another set. Finally, triangulation can help explain the results of a study.3 Central to triangulation is the notion that methods leading to the same results give more confidence in the research findings.4 Four types of triangulation are proposed by Denzin (p.301):5 (1) data triangulation, which includes matters …

Bias in research

Abstract: The aim of this article is to outline types of ‘bias’ across research designs, and consider strategies to minimise bias. Evidence-based nursing, defined as the “process by which evidence, nursing theory, and clinical expertise are critically evaluated and considered, in conjunction with patient involvement, to provide the delivery of optimum nursing care,”1 is central to the continued development of the nursing professional. Implementing evidence into practice requires nurses to critically evaluate research, in particular assessing the rigour in which methods were undertaken and factors that may have biased findings. Bias is defined by the Oxford Dictionary as: “an inclination or prejudice for or against one person or group, especially in a way considered to be unfair”; “a concentration on an interest in one particular area or subject”; “a systematic distortion of statistical results due to a factor not allowed for in their derivation” (http://www.oxforddictionaries.com). Understanding research bias is important for several reasons: first, bias exists in all research, across research designs and is difficult to eliminate; second, bias can occur at each stage of the research process; third, bias impacts on the validity and reliability …

What is grounded theory

Abstract: Grounded theory (GT) is a research method concerned with the generation of theory,1 which is ‘grounded’ in data that has been systematically collected and analysed.2 It is used to uncover such things as social relationships and behaviours of groups, known as social processes.3 It was developed in California, USA by Glaser and Strauss during their study—‘Awareness of Dying’.1 It is a general methodology for developing theory that is grounded in data which is systematically gathered and analysed. First the area of interest is identified. Theoretical preconceptions should be avoided, although it is accepted this is difficult in practice. Analytical procedures and sampling strategies are then used and the study is finished when theoretical sampling reached5 all discussed below. Data collected may be qualitative or quantitative or a combination of both. Data collection methods often include in-depth interviews using open-ended questions. Questions can be adjusted as theory emerges. Observational methods and focus groups may also be used. Glaser and Strauss (1967) first mentioned theoretical sampling and described a process of generating theory from data which includes collecting the data, then coding …

Qualitative data analysis: a practical example

Abstract: The aim of this paper is to equip readers with an understanding of the principles of qualitative data analysis and offer a practical example of how analysis might be undertaken in an interview-based study. Qualitative research is a generic term that refers to a group of methods, and ways of collecting and analysing data that are interpretative or explanatory in nature and focus on meaning. Data collection is undertaken in the natural setting, such as a clinic, hospital or a participant's home because qualitative methods seek to describe, explore and understand phenomena from the perspective of the individual or group. Reality is coconstructed by the research participants and the researcher, with the depth of data collected more important than recruiting large samples. The individual interview method is the most widely used method of data collection in qualitative research and a range of data can be collected including field notes, audio and video recordings, images or documents. Qualitative researchers usually work with text when analysing data; data can be transcribed in entirety or focus on selected sections. However, focusing on selected sections of the data may not capture the nuances of observations or participants’ descriptions and may fragment the data. The challenge for qualitative researchers is to present a cohesive representation of the data, which can be …

Research Methods in Health. Investigating health and health services

Abstract: This new edition of Ann Bowling's well-known and highly respected text has been thoroughly revised and updated to reflect key methodological developments in health research. It is a comprehensive, easy to read, guide to the range of methods used to study and evaluate health and health services. It describes the concepts and methods used by the main disciplines involved in health research, including: demography, epidemiology, health economics, psychology and sociology.The research methods described cover the assessment of health needs, morbidity and mortality trends and rates, costing health services, sampling for survey research, cross-sectional and longitudinal survey design, experimental methods and techniques of group assignment, questionnaire design, interviewing techniques, coding and analysis of quantitative data, methods and analysis of qualitative observational studies, and types of unstructured interviewing. With new material on topics such as cluster randomization, utility analyses, patients' preferences, and perception of risk, the text is aimed at students and researchers of health and health services. It has also been designed for health professionals and policy makers who have responsibility for applying research findings in practice, and who need to know how to judge the value of that research.

Issues of validity and reliability in qualitative research

Abstract: Evaluating the quality of research is essential if findings are to be utilised in practice and incorporated into care delivery. In a previous article we explored ‘bias’ across research designs and outlined strategies to minimise bias.1 The aim of this article is to further outline rigour, or the integrity in which a study is conducted, and ensure the credibility of findings in relation to qualitative research. Concepts such as reliability, validity and generalisability typically associated with quantitative research and alternative terminology will be compared in relation to their application to qualitative research. In addition, some of the strategies adopted by qualitative researchers to enhance the credibility of their research are outlined. Assessing the reliability of study findings requires researchers and health professionals to make judgements about the ‘soundness’ of the research in relation to …