Book contents
- Frontmatter
- Contents
- List of figures
- List of tables
- List of contributors
- List of abbreviations
- Introduction. Analysing variation in English: what we know, what we don't, and why it matters
- Part I Investigating variation in English: how do we know what we know?
- 1 Collecting data on phonology
- 2 How to make intuitions succeed: testing methods for analysing syntactic microvariation
- 3 Corpora: capturing language in use
- 4 Hypothesis generation
- 5 Quantifying relations between dialects
- 6 Perceptual dialectology
- Part II Why does it matter? Variation and other fields
- Notes
- References
- Index
4 - Hypothesis generation
from Part I - Investigating variation in English: how do we know what we know?
Published online by Cambridge University Press: 03 May 2011
- Frontmatter
- Contents
- List of figures
- List of tables
- List of contributors
- List of abbreviations
- Introduction. Analysing variation in English: what we know, what we don't, and why it matters
- Part I Investigating variation in English: how do we know what we know?
- 1 Collecting data on phonology
- 2 How to make intuitions succeed: testing methods for analysing syntactic microvariation
- 3 Corpora: capturing language in use
- 4 Hypothesis generation
- 5 Quantifying relations between dialects
- 6 Perceptual dialectology
- Part II Why does it matter? Variation and other fields
- Notes
- References
- Index
Summary
Introduction
The aim of science is to understand reality. An academic discipline, philosophy of science, is devoted to explicating the nature of science and its relationship to reality, and, perhaps predictably, both are controversial; for an excellent introduction to the issues see Chalmers (1999). In practice, however, most scientists explicitly or implicitly assume a view of scientific methodology based on the philosophy of Karl Popper (Popper 1959, 1963), in which one or more non-contradictory hypotheses about some domain of interest are stated, the validity of the hypotheses is tested by observation of the domain, and the hypotheses are either confirmed (but not proven) if they are compatible with observation, or rejected if they are not.
Where do such hypotheses come from? In principle, it doesn't matter, because the validity of the claims they make can always be assessed with reference to the observable state of the world. Any one of us, whatever our background, could wake up in the middle of the night with an utterly novel and brilliant hypothesis that, say, unifies quantum mechanics and Einsteinian relativity, but this kind of inspiration is highly unlikely and must be exceedingly rare. In practice, scientists develop hypotheses in something like the following sequence of steps: the researcher (i) selects some aspect of reality that s/he wants to understand, (ii) becomes familiar with the selected research domain by observation of it, reads the associated research literature, and formulates a research question which, if convincingly answered, will enhance scientific understanding of the domain, (iii) abstracts data from the domain and draws inferences from it in the light of the research literature, and (iv) on the basis of these inferences states a hypothesis to answer the research question.
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- Analysing Variation in English , pp. 72 - 92Publisher: Cambridge University PressPrint publication year: 2011