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Qualitative Research
Qualitative research, also known as qualitative inquiry, is an umbrella term used to cover a wide variety of research methods and methodologies that provide holistic, in-depth accounts and attempt to reflect the complicated, contextual, interactive, and interpretive nature of our social world. For example, grounded theory, ethnography, phenomenology, ethnomethodology, narratology, photovoice, and participatory action research (PAR) may all be included under the qualitative label, although each of these individual methods is based on its own set of assumptions and procedures. What unifies these various approaches to inquiry is their primary reliance on non-numeric forms of data (also known as empirical evidence) and their rejection of some of the underlying philosophical principles that guide methods employed in the physical and natural sciences and frequently in the social sciences. This entry focuses on the philosophical frameworks positioning qualitative research and on qualitative research designs.
Positioning Qualitative Inquiry
At the heart of the distinction between these various scientific methods are differing ontological, epistemological, and theoretical worldviews. Ontology refers to the nature of reality. Ontological questions interrogate fundamental ideas about what is real. Epistemology refers to a theory of knowledge. Epistemological discussions interrogate how we know the world, who can know, and what can be known. Theoretical perspectives are the philosophical stances that provide the logic and the criteria that organize methodology (the overall research strategy) and methods (the specific tools or techniques used in collecting and interpreting evidence). In short, basic philosophical differences in these worldviews have a direct impact on the research design. Coherent research designs demonstrate consistent and integrated ontological, epistemological, theoretical, and methodological positions.
Most qualitative research starts from a constructivist epistemological position and from one of a variety of theoretical perspectives, such as inter-pretivist, feminist, or critical inquiry. Constructivists believe in the socially constructed nature of reality. This idea that reality is generated through social interaction and iterative processes has dramatic implications for addressing the basic epistemological questions raised above and thus for the methodologies and methods employed. Constructivists reject the basic premise that an objective researcher discovers truths from preexisting data. Instead, they believe in what Norman Denzin and Yvonna Lincoln have called an “intimate relationship” between the researchers and the phenomenon under investigation. Marianne Phillips and Louise Jorgensen argue, based on the work of Vivien Burr and Kenneth Gergen, that constructivist approaches share four basic premises: a critical approach to taken-for-granted knowledge that is often overlooked or ignored, an interest in historical and cultural specificity, a link between knowledge development and processes, and a link between knowledge development and social action.
Within the constructivist epistemological tradition, there are many different theoretical schools of thought. Interpretivism has spawned a family of related traditions such as symbolic interactionism, phenomenology, and hermeneutics. For example, in his classic work on symbolic interactionism in 1969, Herbert Blumer summarized the three basic premises underlying his work: Humans act toward things on the basis of meaning that those things have for them; meaning is derived from, or arises out of, social interaction with others; and meanings attach and are modified through an interpretative process during interactions. Note that at the heart of symbolic interactionism is a belief that reality is not stable and preexisting but rather is socially constructed and given meaning only through ongoing interactions. Critical theorists believe that social action and social reform are an integral part of any research endeavor. Today's critical inquiry was heavily influenced by the 1972 work of Paulo Freire, Pedogogy of the Oppressed, which fueled important discussions about power relationships, oppression, exploitation, empowerment, democracy, social justice, and action-based research. Feminists in the 1970s and beyond have furthered these theoretical discussions, raising basic questions such as those posed by Sandra Harding in the title of her seminal book published in 1991, Whose Science? Whose Knowledge?
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- Descriptive Statistics
- Distributions
- Graphical Displays of Data
- Hypothesis Testing
- Alternative Hypotheses
- Beta
- Critical Value
- Decision Rule
- Hypothesis
- Nondirectional Hypotheses
- Nonsignificance
- Null Hypothesis
- One-Tailed Test
- p Value
- Power
- Power Analysis
- Significance Level, Concept of
- Significance Level, Interpretation and Construction
- Significance, Statistical
- Two-Tailed Test
- Type I Error
- Type II Error
- Type III Error
- Important Publications
- “Coefficient Alpha and the Internal Structure of Tests”
- “Convergent and Discriminant Validation by the Multitrait-Multimethod Matrix”
- “Meta-Analysis of Psychotherapy Outcome Studies”
- “On the Theory of Scales of Measurement”
- “Probable Error of a Mean, The”
- “Psychometric Experiments”
- “Sequential Tests of Statistical Hypotheses”
- “Technique for the Measurement of Attitudes, A”
- “Validity”
- Aptitudes and Instructional Methods
- Doctrine of Chances, The
- Logic of Scientific Discovery, The
- Nonparametric Statistics for the Behavioral Sciences
- Probabilistic Models for Some Intelligence and Attainment Tests
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- Partial Correlation
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- Standard Error of the Mean
- Student's t Test
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- Weights
- Item Response Theory
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- Reliability of Scores
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- Cause and Effect
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- Confounding
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- A Priori Monte Carlo Simulation
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- Completely Randomized Design
- Cross-Sectional Design
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- Experimental Design
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- Pilot Study
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- Quasi-Experimental Design
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- Response Surface Design
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- Single-Subject Design
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- True Experimental Design
- Wennberg Design
- Within-Subjects Design
- Zelen's Randomized Consent Design
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- Delphi Technique
- Evidence-Based Decision Making
- Exploratory Data Analysis
- Follow-Up
- Inference: Deductive and Inductive
- Last Observation Carried Forward
- Planning Research
- Primary Data Source
- Protocol
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- Secondary Data Source
- Standardization
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- Research Validity Issues
- Bias
- Critical Thinking
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- Experimenter Expectancy Effect
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- Mortality
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- Multivalued Treatment Effects
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- Pretest Sensitization
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- Selection
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- Volunteer Bias
- White Noise
- Sampling
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- Sampling
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- Sampling Error
- Stratified Sampling
- Systematic Sampling
- Scaling
- Software Applications
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- Autocorrelation
- Biased Estimator
- Cohen's Kappa
- Collinearity
- Correlation
- Criterion Problem
- Critical Difference
- Data Mining
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- Degrees of Freedom
- Directional Hypothesis
- Disturbance Terms
- Error Rates
- Expected Value
- Fixed-Effects Models
- Inclusion Criteria
- Influence Statistics
- Influential Data Points
- Intraclass Correlation
- Latent Variable
- Likelihood Ratio Statistic
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- Analysis of Covariance (ANCOVA)
- Analysis of Variance (ANOVA)
- Barycentric Discriminant Analysis
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- Bonferroni Procedure
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- Logistic Regression
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- Kolmogorov-Smirnov Test
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- Newman-Keuls Test and Tukey Test
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- Sign Test
- t Test, Independent Samples
- t Test, One Sample
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- Tukey's Honestly Significant Difference (HSD)
- Welch's t Test
- Wilcoxon Rank Sum Test
- z Test
- Theories, Laws, and Principles
- Bayes's Theorem
- Central Limit Theorem
- Classical Test Theory
- Correspondence Principle
- Critical Theory
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- Game Theory
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- Generalizability Theory
- Grounded Theory
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- Occam's Razor
- Paradigm
- Positivism
- Probability, Laws of
- Theory
- Theory of Attitude Measurement
- Weber-Fechner Law
- Types of Variables
- Validity of Scores
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