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In the broadest sense qualitative research is research which uses only dichotomous data — that is, data which can take only the values 0 (zero) and 1 (one). In psychological research this definition has been restricted further. In psychology qualitative research has come to be defined as research whose findings are not arrived at by statistical or other quantitative procedures.
This definition, however, is entirely negative, describing qualitative research by what it lacks rather than by what it possesses. Absence of a characteristic is not itself a defining characteristic — journalism, for example, does not estimate parameters or test null hypotheses, but one would scarcely claim that it is a form of psychological research. If qualitative research has some goal other than estimating parameters or testing, the important issue is what that goal is. Qualitative psychological researchers have described other characteristics of qualitative research which they believe also distinguish it from so-called quantitative psychological research.
Goals attributed to qualitative psychological research
here is the definitions of hypothesis or theory. If what is meant are hypotheses or theories which can be tested by quantitative statistical methods, then the definition is operational and objective. However, it is not universally accepted. Many practitioners reject quantitative methods outright. Other goals have therefore been proposed for qualitative research.
For example, qualitative research is often said to be naturalistic. That is, its goal is to understand behaviour in a natural setting. However, quantitative research models and techniques may be used for the same purpose.
Two other goals attributed to qualitative research are understanding a phenomenon from the perspective of the research participant and understanding the meanings people give to their experience. Again, however, quantitative research may be conducted for the same purposes.
Qualitative research is sometimes said to have as its goal the understanding of the sample studied, rather than generalizing from the sample to the population. However, quantitative research may also refrain from generalizing to the population (in educational research for example, the ability to generalize is often extremely limited, and studies often restrict themselves to drawing conclusions about the sample studied). Furthermore, this goal does not account for the renunciation of statistical analysis, which helps researchers to understand samples.
Giving voice to marginalized groups and interpreting historically or culturally significant events are two other goals attributed to qualitative research which do not distinguish it from quantitative research and to which statistical analysis is relevant.
Other descriptions which may be taken as descriptions of the goals of qualitative psychological research tend to stipulate that the research should be carried out in a certain way. That is, in these definitions qualitative research is not defined by its results (that is, functionally) but by its procedures (that is, causally).
Qualitative psychological research is often said to be inductive. This seems to mean that the research is non-evaluative rather than that it depends on inductive logic in the usual sense. However, a reasonable argument could be made that quantitative research is often non-evaluative in the same sense.
Qualitative psychological research emphasizes fieldwork, and this emphasis has been offered as a distinguishing mark. However, quantitative researchers also do fieldwork.
Qualitative psychological research is also described as holistic. That is, qualitative researchers believe in studying phenomena in their entirety rather than concentrating on narrow aspects of the phenomena defined as independent or dependent variables. However, this assertion is questionable. Karl Popper has argued that we cannot know that we are studying the totality of any phenomenon and that consequently we cannot study phenomena holistically. Certainly qualitative researchers have provided few examples of research which attempts to study a phenomenon exhaustively. For one thing, conducting such research would require an ability which no one has, specifically the knowledge of enough disciplines to conduct such research. For example, qualitative researchers do not necessarily assess the medical conditions of human participants, but those medical conditions may easily influence their behaviour.
Other proposed distinctions between qualitative and "quantitative" (that is, statistically-based) psychological research are also questionable – that qualitative research is more intense, for example, that in qualitative research the researcher is the primary collector and analyst of data, that qualitative research is "richly descriptive" (statistical analysis which can position a phenomenon accurately within a distribution certainly has some claim to be considered richly descriptive), or that quantitative researchers assume that researchers do not influence their data (the influence of the experimenter on participants is an important research topic in quantitative psychology, as is the influence of test administrators on test-takers).
Qualitative psychological research is often treated as the opposite of quantitative research. Qualitative analysis, however, is at the very least still descriptive research, and relevant quantitative psychometric concerns such as its reliability and validity are critical to its utility.
Origins and methods
The philosophical bases of qualitative psychological research are found in phenomenology, ethnomethodology, and naturalistic behaviourism. Its research methods are derived from ethnography and anthropology.
In psychology, the research methods commonly classified as qualitative include:
- unstructured interviewing
The data collected by researchers using these techniques consist of:
- the results of open-ended interviews
- notes of direct observation
- written documents (answers to questionnaires, diaries, program records, and so on)
After collecting data quantitative psychological researchers then organize them into themes, categories, and case examples. Their goal is to examine their data in depth and in detail without being constrained by predetermined analytical categories.
Most psychological researchers probably use both types of method. In particular, qualitative methods are widely used as exploratory methods; the results of qualitative analysis are used to design quantitative research which tests null hypotheses derived from the qualitative observations.
Arguments against quantitative psychological research
Nevertheless, many other psychological researchers reject statistically-based research in favour of qualitative research. They argue that statistically-based research is invalid because it ignores context and concentrates on tiny parts of phenomena rather than on the phenomena as wholes. They also argue that quantitative research assumes a unitary reality which does not exist, since every researcher's perception of reality is influenced by his or her unique perceptions and predispositions.
The validity of these criticisms of quantitative research may be questioned. For example, much research on intelligence is conducted without the researchers assuming that they are actually measuring a real entity called intelligence. Instead they are assessing a hypothetical construct, and the value of their assessment will depend on the utility of the construct. On the other hand, many quantitative researchers, and especially many studying intelligence, have represented and interpreted their research as if it was research about an actual entity.
Popper's argument against the possibility of holism is also relevant here. but if the qualitative researchers' assertion is taken simply as an assertion that qualitative research studies more aspects of a phenomenon than quantitative research an empirical assessment of the claim could be made.
Quantitative psychological researchers often incorporate large numbers of independent variables in multiple linear regression studies, so establishing this claim empirically might be difficult. However, multiple linear regression studies may demonstrate another deficiency which qualitative researchers ascribe to quantitative research. Researchers using multiple linear regression often ignore such context as interactions between the independent variables, and ignoring these interactions reduces the stability of their findings. Such studies constitute classic examples of a deficiency which qualitative researchers ascribe to quantitative research, although the adequacy of qualitative methods in analyzing large numbers of variables has not been substantiated. And regardless of the deficiencies of many quantitative researchers, it is still possible to use multiple linear regression analysis judiciously.
Many qualitative psychological researchers reject the traditional psychometric idea of validity — that is, the idea that measures should reflect differences in other logically related measures. Since they deny the existence of an external reality independent of personal interpretation they consequently reject the idea of assessing differences in it. However, many people have concluded that accepting the premisses of this argument leads to the logical conclusion that research of any kind is futile, and other qualitative researchers have developed non-quantitative criteria for assessing reliability and validity.
These criteria, however, are based on debatable assumptions. For example, the traditional psychometric concept of reliability has been rejected by many qualitative researchers in part because some types of reliability require repeated observation, which the qualitative researchers consider impossible in any useful sense. They have proposed a qualitative analog called dependability, which requires researchers to explain how changes in context produced changes in observations.
However, claiming that repeated observation is impossible does not demonstrate that the traditional psychometric concept lacks utility, even if repeated observation is in fact impossible. Furthermore, requiring researchers to explain how changes in context produced changes in observations raises the psychometric issues of reliability and validity again — researchers cannot explain changes with invalid measures (including classification systems), and valid measures must be reliable by definition.
Confirmability is a qualitative concept analogous to the concept of objectivity in quantitative research. It is the degree to which research results can be confirmed by other researchers, while objectivity is the obtaining of identical results by different investigators. A quantitative test is objective, for example, if different testers assign the same scores to the same test-takers. Again, quantitative techniques of correlation would seem to be relevant to the assessment of confirmability.
Transferability has been proposed as a qualitative substitute for psychometric validity. Research findings are transferable to the extent to which they can be generalized to settings other than the one in which they were made. This definition, however, does not imply that conventional psychometric methods of assessing validity are not useful for this purpose, nor that they are less useful than qualitative methods.
Status in psychology
The prevailing opinion in psychology is probably that both approaches offer important benefits, that rejecting one or the other means renouncing some of those benefits, and that the most useful debate is about the circumstances in which the two approaches may most profitably be used.
Computer Assisted Qualitative Data Analysis Software
There are a number of packages available for Computer Assisted Qualitative Data Analysis Software- CAQDAS. In their working paper Lewis and Silver list the following:
- ATLAS.ti V5,
Other software includes:
References & Bibliography
- Lewins A & Silver C (2007) Using Software in Qualitatve Research : A Step-by-Step Guide, Sage Publications, London
- Smith, J.A. (2003). Qualitative psychology:A Prractical Guide to Reseach methods. London:Sage
- Lewins, A., & Silver, C. (2006) Choosing a CAQDAS Package, CAQDAS Networking Project
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