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What’s the difference between qualitative and quantitative research?

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Analysis is more than coding

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Qualitative Research
Quantitative Research

Some researchers just want to apply methods, i. Furthermore, there is a theoretical perspective, a philosophical stance that informs a methodology grounding its logic and criteria cf. Given this definition, positivism, symbolic interactionism, phenomenology, hermeneutics, interpretivismor critical theory, are theoretical perspectives.

Survey research, ethnography, Grounded Theory GT and discourse analysis are methodologies. Analysis methods derived from these various frameworks are statistical procedures, theme identification, constant comparison, document analysis, content analysis, or cognitive mapping.

GT may also be classified as method, if understood and used as a series of procedures. If you may wonder what type of techniques and procedures for analyzing qualitative data have been described, here are a few: What can be derived from the above is that they are many different methods to analyze qualitative data and coding is only one of them.

This is related to the variousphilosophical traditions and methodological frameworksbehind. The analysis of embodied lived experience for instance is rooted in phenomenology and phenomenologists forego coding of data all together. Researchers following the interpretivist paradigm where the above listed sequential analyses techniques belong to even perceive coding as an abhorrent incompatible act for data analysis.

Thus, properly informedproponents of these traditions would even state: It helps them to manage, sort through and organize their data corpus. If you decide that coding is an appropriate method to approach the analysis of your data, there is still a lot to learn.

If you never cooked a meal before, being provided with all the pots and pans necessary and the ingredients like meat, vegetable, eggs, cheese, spices etc. Technically speaking, coding means to attach a label to a selected data segment. This is something you learn very quickly like operating a stove.

But when is a code just a descriptive label, a category, a sub code, a dimension or a theoretical code? Software is not able to tell you or makes such decisions for you. The process of developing a good code system is already more than coding in the technical sense of just attaching a label to a data segment.

Furthermore, having coded the data is not the end of the analysis process. After coding, the data is prepared for further analysisand exploration. Frequently used tools are the code-cooccurence explorer and the codes-PD table for the purpose of cross-case comparisons. Results can be saved in various forms as a basis for new queries, for instance supporting researchers in identifying types and typologies in the data.

Thus, analysis is more than coding and still largely dependent on the person sitting in front of the computer using thesoftware tool. As I have no idea how his attitude and his decision would betoday, I decided not to include the original foreword, except for thefollowing quotation which, I promise, will remain true for some time tocome: Your will find pointers whether CAQDAS is a useful choice and where researchers have used it for data organization and management only.

The list is adapted from online QDA http: Action research consists of a family of research methodologies. The focus is a social problem, rather than the theoretical interests of a scientist. The aim is to promote change by engaging participants in a process of sharing knowledge.

It contains among other elements also components of field research. Types of data include interviews, focus groups, observation, participant observation, participant-written cases and accounts. How Professionals Think in Action. The practice of action inquiry, in P.

Bradbury eds , Handbook of Action Research: Participative Inquiry and Practice. Teaching and Learning in Motion. Life History and biographical research is today often used interchangeably. Data are collected in form of narrative interviews. Of interest is the entire life story in terms of its genesis and how it is constructed in the present. The steps of data analysis involve thematic analysis, the reconstruction of the life history, a microanalysis of individual text segments, contrastive comparisons and the development of types and contrasting comparison of several cases.

Rosenthal proposes a combination of methods to analyze biographical data. Another example is the study by Gouthro Roberts , Brian Structures of meaning and objective Hermeneutics.

Columbia University Press, S. Oevermann, Ulrich et al. Die Methodologie einer objektiven Hermeneutik und ihre allgemeine forschungslogische Bedeutung in den Sozialwissenschaften, in Hans-Georg Soeffner ed.

Fischer, Wolfram and Kohli, Martin Methoden der Biographie- und Lebenslaufforschung. Implications for Policies and Practices in Adult Education. Deviant Action and Self-Narration: Journal of the Theory of Social Behaviour, Vol 25 2 , A case study is based on an in-depth investigation of a single individual, group, or event to explore causation. It may involve the collection of both qualitative and quantitative like documents, archival records, interviews, direct observation, participant-observation, physical artifacts.

Several analytic strategies for case studies have been described like placing the evidence in a matrix of categories, pattern matching, statistical procedures, and also coding has been proposed as a way to approach analysis. It is a collection of ethnographic case studies of literacy practice in various marginalized cultural communities. A methods source book. Casting nets and testing specimens: Two grand methods of psychology. Conversational Analysis or CA is the study of naturally occurring talk-in-interaction, both verbal and non-verbal, in order to discover how we produce an orderly social world.

It does not refer to context or motive unless they are explicitly deployed in the talk itself. The method was inspired bythe ethnomethodology of Harold Garfinkel and further developed in the late s and early s by the sociologist Harvey Sacks. Today CA is an established method used in sociology, anthropology, linguistics, speech-communication and psychology. Typically data are subjected to afine-grained sequential analysis based on a sophisticated form of transcription.

In addition to sequential analysis, coding approaches have also been used in recent years for identifying recurrent themes. The use of coding in conversational analysis however is questioned as an appropriate form of analysis by some.

Ten Have, Paul A Practical Guide , Thousand Oaks: Making Thinking Visible with Atlas. Discourse Analysis DA and Critical Discourse Analysis CDA both encompass a number of approaches to study the world, society, events and psyche as they are produced in the use of language, discourse, writing, talk, conversation or communicative events.

It is generally agreed upon that any explicit method in discourse studies, the humanities and social sciences may be used in CDA research, as long as it is able to adequately and relevantly produce insights into the way discourse reproduces or resists social and political inequality. Thus, the data collection can be comprised of a number of different data formats.

An example is provided by Graffigna and Bosio Textual Analysis for Social Research. Fairclough, Norman; Clive Holes The Critical Study of Language.

Graffigna, Guendalina and Bosio, A. International Journal of Qualitative Methods 5 3 , article 5. Ethnography is a multi-method qualitative approachthat studies people in their naturally occurring settings. The purpose is to provide a detailed, in-depth description of everyday life and practice. An ethnographic understanding is developed through close exploration of several sources like participant observation, observation, interviews, documents, newspapers, magazine articles or artifacts.

The results of an ethnographic study are summaries of observed activities, typifications or the identification of patterns and regularities.

Computer applications in qualitative research. Qualitative Social Research, 8 3 , Art. Qualitative Social Research, 10 2 , Art. The founder of Ethnomethodology Harold Garfinkel , developed this methodto better understand the social order people use in making sense of the world through.

As data sources he uses accounts and descriptions of day-to-day experiences. The aim is to discover the methods and rules of social action that people use in their everyday life. The focus is on how-question, rather than why-question as underlying motives are not of interest. Ethnomethodologists conduct their studies in a variety of ways focusing on naturally occurring data. Central is the immersion in the situation being studied. They reject anything that looks like interview data.

Important for an ethnomethodological analysis is self-reflection and the inspectability of data, thus the reader of an ethnomethodological study should be able to inspect the original data as means to evaluate any claim made by the analyst. Steps in the process of data analysis include coding by type of discourse, counting frequencies of types of discourses, selecting the main types and checking for deviant cases.

Francis, David and Stephen Hester. An invitation to Ethnomethodology. Language, Society and Interaction. Its methodological roots are in phenomenology, social interactionism and ethnographyadapted by business studies and marketing research, but also used in other disciplines like medical research.

The investigation is carried out in the naturalistic environment where the phenomenon occurs. Methods of data collection include participant observation, depth interviews, group interviews and projective techniques.

Analysis procedures consist of description, ordering or coding of data and displaying summaries of the data. Gendered Suffering and Social Transformations: Domestic Violence, Dictatorship and Democracy in Chile. A focus group is a form of group interviewmainly used in marketing research. A Practical Guide for Applied Research, 3rd ed. The focused interview and the focus group — continuities and discontinuities.

Public Opinions Quarterly, 51, A manual of problems and procedures. Frame Analysis has generally been attributed to the work of Erving Goffman and his book: An essay on the organization of experience. This approach tries to explain social phenomena in terms of the everyday use of schemes or frames like beliefs, images or symbols. The number of such frames available to people in making sense of their environment is limited by the particular society they live in.

Frame Analysis is largely used in social movement theory, policy studies and health research. When it comes to analyzing the data, a quantitative and a qualitative approach has been suggested. In quantitative studies the keyword approach is used extracting frames by means of hierarchical cluster or factor analysis. The software VBPro for example has especificallybeen developed for such procedures.

Frames may however also be discovered via a qualitative coding approach. Propaganda Plays of the Woman Suffrage Movement: An Essay on the Organization of Experience. Media Coverage on European Governance: European Journal of Communication 19 3 Grounded Theory GT is an inductive form of qualitative research that was first introduced by Glaser and Strauss It is a research approach in which the theory is developed from the data, rather than the other way around.

Data collection and analysis are consciously combined, and initial data analysis is used to shape continuing data collection.

Strauss in disagreement with Glaser developed the approach further providing a more pragmatic and systematic descriptions of analytic steps, like the four different phases of coding: Sociological research has been greatly influenced by Grounded Theory and the method of coding based constant comparison and the theoretical sampling strategy is widely accepted. In recent years, further variations of the grounded theory methodology have emerged. For example Kathy Charmaz introduced a constructivist version and Clarke discusses GT after the postmodern turn.

Glaser rubbish the use of tape recording and transcription as he considers it a superfluous activity not aiding the process of conceptualizing. DeFranzo September 16, Many mistakenly think the two terms can be used interchangeably. So what is the difference between Qualitative Research and Quantitative Research?

Qualitative Research is primarily exploratory research. It is used to gain an understanding of underlying reasons, opinions, and motivations. It provides insights into the problem or helps to develop ideas or hypotheses for potential quantitative research. Qualitative Research is also used to uncover trends in thought and opinions, and dive deeper into the problem.

Qualitative data collection methods vary using unstructured or semi-structured techniques. The sample size is typically small, and respondents are selected to fulfil a given quota.

Quantitative Research is used to quantify the problem by way of generating numerical data or data that can be transformed into usable statistics. It is used to quantify attitudes, opinions, behaviors, and other defined variables — and generalize results from a larger sample population.

Quantitative Research uses measurable data to formulate facts and uncover patterns in research. Quantitative data collection methods are much more structured than Qualitative data collection methods. Quantitative data collection methods include various forms of surveys — online surveys, paper surveys , mobile surveys and kiosk surveys, face-to-face interviews, telephone interviews, longitudinal studies, website interceptors, online polls, and systematic observations.

Snap has many robust features that will help your organization effectively gather and analyze quantitative data. While defining quantitative and qualitative research based on their uses and purposes may be considered a practical approach for researcher, the difference actually lies on their roots: Procedures, designs, concepts, purposes and uses emanate from there.

Example on qualitative research referring to quality where problems are answered without generally focusing on quantity, are descriptions in words coming form interviews, discussions or observations. However when words are translated to quantity in order to describe or to generalize, then the research is now called quantitatitive research. The bottom lines are the questions: Many thanks for giving me clear understanding around the differences between the qualitative and quantative research.

Thanks a millions time. I was struggling to get an idea of how to approach the definitions. In fact I was even hesitating to answer the questions confidently.

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What’s the difference between qualitative and quantitative research? Susan E. DeFranzo September 16, Many times those that undertake a research project often find they are not aware of the differences between Qualitative .

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Qualitative data collection methods are exploratory in nature and are mainly concerned with gaining insights and understanding on underlying reasons and motivations. Qualitative data collection methods emerged after it has become known that traditional quantitative data collection methods were.

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Qualitative Research Definition: Qualitative research is a market research method that focuses on obtaining data through open-ended and conversational communication. This method is not only about “what” people think but also “why” they think so. The qualitative research method allows for in. A Guide to using Qualitative Research Methodology Contents 1. What is qualitative research? Aims, uses and ethical issues a) What is qualitative research? 2 b) When to use qualitative methods 3 c) Ethical issues 5 2. How to develop qualitative research designs a) The research question 7 b) The research protocol 8 c) A word on sampling .

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