Quantitative versus Qualitative Approaches © www.drcath.net, 2008 At the start of your research project….  After you have decided upon your research question, you need to decide what approach you are going to take:   Quantitative? Qualitative?  Ask yourself are you seeking to prove or disprove a theory? Or are you trying to generalise your findings to a population?  If so this will be a deductive approach, a quantitative approach  Or are you hoping to elicit some understandings on what people think or feel about an issue? Is the topic an area that there is little information and so you must undertake an initial, exploratory study?  If so, this will be induction, a qualitative approach Deductive Theory Theory Hypotheses Data Collection Findings Hypotheses Confirmed or Rejected Revision of Theory Induction [General research question] Observation Theory Formulation Home Exercise  Deductive theory:   Inductive theory:     Test the theory that people who have never done research before will attend a research methods course to do research in the future Why do people do a research methods course? What is your theory on this? What other information have you gathered? Any demographics? Quantitative and Qualitative Methods Quantitative:  Deductive  Tests hypotheses  Positivism  Objectivism  Employs measurement  Macro  Detached researcher Qualitative:  Inductive  Produces theories  Phenomenology  Constructionism  Does not employ measurement  Micro  Involved researcher Quantitative and Qualitative Methods Quantitative: Measures objective facts Focuses on variables Value free Reliability is key Independent of context Many cases Statistical analysis  Qualitative: Constructs social meaning Focus on interactive processes Values are present Authenticity is key Context constrained Few cases Thematic analysis  Common errors: Open ended questions in surveys   Sometimes people say that they use thematic analysis to analyze open ended questions on a questionnaire/survey. This is incorrect! Thematic analysis is a very specific form of analysis where the data is searched for recurring themes and theory then built from it. For open ended questions, you posthoc code. Quantitative by its nature, ‘quantifies’, so after you have collected your answers, you attach codes to responses. And so you can count the types of responses you received. Common errors: ‘Generalising’ in qualitative research   Sometimes you’ll come across people saying that the qualitative study was small scale and so the findings cannot be generalised to a population. This shows lack of understanding! Qualitative research never seeks to generalise. It is important that when reporting findings that you use the terminology and methods appropriate to the approach - e.g. don’t use ‘hypothesis’ pertaining to qualitative and if using statistical analysis in quantitative, ALWAYS make sure your sampling is random! [Sampling is the most important step in quantitative work, yet so many get it wrong] Main Steps in Quantitative Research: 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. Theory Hypothesis Research design Devise measures of concepts Select research site(s) Select research subjects/respondents Administer research instruments/ collect data Process data Analyse data Write up findings and conclusions Main Steps in Qualitative Research: 1. 2. 3. 4. 5. 6. 7. 8. 9. General research question Select relevant site(s) and subjects Collection of relevant data Interpretation of data Conceptual and theoretical work Tighter specification of the research question Collection of further data Conceptual and theoretical work Write up findings Examples of Quantitative Research Methods:   Experiments Social surveys       Content Analysis Secondary Statistical Analysis Official Statistics    Cross-sectional Comparative (cross-national) Longitudinal Demography Epidemiology Field stimulations  Structured Interviews and Observation. Examples of Qualitative Research:        In-depth Interviews Focus Groups Ethnography/Field Research Historical-Comparative Research Discourse Analysis Narrative Analysis Media Analysis Worth noting    Quantitative and qualitative research are often cast as opposing fields. But sometimes they blur - qualitative research may employ quantification in their work or may be positivist in their approach. Some quantitative may employ phenomenology. Both can be also be combined in a project    Qualitative can facilitate quantitative research (1) can provide hypotheses (2) fill in the gaps, help interpret relationships Quantitative can facilitate qualitative through locating interviewees and help with generalising findings Together they can give you a micro and macro level versions and so you can examine the relationships between the two levels. They can complement each other. Final words    To make it easier to understand the two different approaches, I sometimes tell students to think of TV detectives. Induction - this is the method that CSI use. They find the evidence and then produce the theory on what happened. Deductive logic - this is your more traditional detective. They have a hunch that someone murdered someone else and seek to prove it. Think Columbo, Murder She Wrote or even Inspector Morse.
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