Art of Empirical Investigation

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causal inference techniques
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Common Language
Cross-classification Analysis
data analysis procedures
empirical investigation
empirical research methodology guide
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Hypothetical Variable
Internal Revenue Service
James E. Katz
Julian L. Simon
Juvenile Delinquents
Liquor Prices
Memorize Nonsense Syllables
Monte Carlo Method
Monte Carlo Trials
Observed Weight Gains
observer bias mitigation
Panel Method
Persian art
Poker Hand
proport
quantitative research methods
Random Assignment
Random Digit Table
Random Number Table
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resea
sampling strategies
social issues
Social Science Research
social-scientific research
states
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Young Men

Product details

  • ISBN 9781138534322
  • Weight: 453g
  • Dimensions: 152 x 229mm
  • Publication Date: 20 Sep 2017
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
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Julian Simon was known for his methodical, and often controversial, writings challenging conventional beliefs about overpopulation, pollution, disappearing farmland, and the scarcity of energy sources and raw materials. But throughout his works is a common theme: that responsible, unbiased research and examination of the data is indispensable to formulating a well-informed and accurate opinion. The Art of Empirical Investigation teaches student, professor, researcher, and those interested in ascertaining the truth about social issues just how to proceed.

The Art of Empirical Investigation is a textbook on the basics of social-scientific research. It discusses all the important empirical methods used in social science, and its examples, drawn from a wide variety of academic and applied fields, illustrate the use of each method in its most appropriate context. The actual decisions a researcher must make at every stage of a project are emphasized, as well as obstacles to knowledge--such as observer bias, deception, unreliability of data, and sampling costs--and how to overcome them. Presupposing nothing, the book introduces the reader to the foundations of empirical social-science research, regardless of a specific field. It also makes an important contribution to beginning researchers' understanding of an operational definition of causality, which cuts through philosophical obscurity and teaches the researcher how to decide whether or not a given relationship is causal.