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Research
Research is a form of organized intellectual work closely associated with the conduct of science. Like its cognates in French (recherche) and German (Forschung), the English word research carries connotations that distinguish it from such related terms as discovery and scholarship. This entry explores the differences between research, discovery, and scholarship are explored, describes three crucial transition points from scholarship to research as a mode of inquiry, and offers some observations about research as a collective project of indefinite duration.
Research versus Discovery and Scholarship
The differences between the three terms can be grasped most easily through etymology.
Discovery suggests the revelation of something previously hidden, possibly forgotten, typically for a long time. This perhaps captures the oldest sense of knowledge in the Western intellectual tradition, traceable to the Greek aletheia. A discovery usually carries life-transforming significance because it purports to get at the original nature of things that are intimately connected to the inquirer's identity: We find out who we really are by learning where we belong in the great scheme of things. At the same time, though, in the words of Louis Pasteur, “Discovery favors the prepared mind,” it is not clear that there is a method, let alone a logic, of discovery. Rather, discoveries are often portrayed as products of a receptive mind encountering a serendipitous event. The implication is that a discovery—as opposed to an invention—points to a reality that is never fully under the inquirer's control.
Scholarship suggests a familiarity with a wide range of established sources, the particular combination of which confers authority on the scholar. Scholarship thus tends to focus on the personality of the scholar, whose powers of discrimination are akin to those of a connoisseur who collects only the best works to perpetuate the values they represent. Unsurprisingly, the history of scholarship is intimately tied to that of editing and curation. Although some scholarship makes claims to originality, its value mainly rests on the perceived reliability of the scholar's judgment of sources. On this basis, others—especially students—may then study the scholar's words as accepted wisdom. Thus, the idea of scholarship already implies a public function, as if the scholar were conducting an inquiry on behalf of all humanity. This point is reflected in the traditional academic customs of annual public lectures and public defenses of doctoral dissertations.
Research suggests an exhaustive process of inquiry whereby a clearly defined field is made one's own. An apt metaphor here is the staking of a property claim bounded by the claims of other property holders. It is implied that a property holder is licensed to exploit the field for all the riches it contains. Indeed, research is strongly associated with the deployment of methods that economize on effort to allow for the greatest yield in knowledge. Unlike scholarship, research is by nature a private affair that is tied less to the intrinsic significance of what is investigated than to the effort invested in the activity. Consider it an application of the labor theory of value to the intellectual world. The transition between scholarship and research is most clearly marked in its public justification. The researcher typically needs to do something other than a version of his or her normal activities in order to demonstrate usefulness to others because of the inherently specialized nature of research.
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- Descriptive Statistics
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- Graphical Displays of Data
- Hypothesis Testing
- Alternative Hypotheses
- Beta
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- Decision Rule
- Hypothesis
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- Nonsignificance
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- One-Tailed Test
- p Value
- Power
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- Significance Level, Concept of
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- Significance, Statistical
- Two-Tailed Test
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- “Convergent and Discriminant Validation by the Multitrait-Multimethod Matrix”
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- “On the Theory of Scales of Measurement”
- “Probable Error of a Mean, The”
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- Within-Subjects Design
- Zelen's Randomized Consent Design
- Research Ethics
- Research Process
- Clinical Significance
- Clinical Trial
- Cross-Validation
- Data Cleaning
- 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
- Q Methodology
- Research Hypothesis
- Research Question
- Scientific Method
- Secondary Data Source
- Standardization
- Statistical Control
- Type III Error
- Wave
- Research Validity Issues
- Bias
- Critical Thinking
- Ecological Validity
- Experimenter Expectancy Effect
- External Validity
- File Drawer Problem
- Hawthorne Effect
- Heisenberg Effect
- Internal Validity
- John Henry Effect
- Mortality
- Multiple Treatment Interference
- Multivalued Treatment Effects
- Nonclassical Experimenter Effects
- Order Effects
- Placebo Effect
- Pretest Sensitization
- Random Assignment
- Reactive Arrangements
- Regression to the Mean
- Selection
- Sequence Effects
- Threats to Validity
- Validity of Research Conclusions
- Volunteer Bias
- White Noise
- Sampling
- Cluster Sampling
- Convenience Sampling
- Demographics
- Error
- Exclusion Criteria
- Experience Sampling Method
- Nonprobability Sampling
- Population
- Probability Sampling
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- Quota Sampling
- Random Sampling
- Random Selection
- Sample
- Sample Size
- Sample Size Planning
- Sampling
- Sampling and Retention of Underrepresented Groups
- Sampling Error
- Stratified Sampling
- Systematic Sampling
- Scaling
- Software Applications
- Statistical Assumptions
- Statistical Concepts
- Autocorrelation
- Biased Estimator
- Cohen's Kappa
- Collinearity
- Correlation
- Criterion Problem
- Critical Difference
- Data Mining
- Data Snooping
- 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
- Loglinear Models
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- Residuals
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- Robust
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- Accuracy in Parameter Estimation
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- Falsifiability
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- Grounded Theory
- Item Response Theory
- 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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