Atnaujinkite slapukų nuostatas

Bias in Quantifying Judgments [Minkštas viršelis]

  • Formatas: Paperback / softback, 328 pages, aukštis x plotis: 234x156 mm
  • Serija: Psychology Revivals
  • Išleidimo metai: 01-Aug-2025
  • Leidėjas: Routledge
  • ISBN-10: 1032549106
  • ISBN-13: 9781032549101
Kitos knygos pagal šią temą:
Bias in Quantifying JudgmentsDidesnis paveikslėlis
  • Formatas: Paperback / softback, 328 pages, aukštis x plotis: 234x156 mm
  • Serija: Psychology Revivals
  • Išleidimo metai: 01-Aug-2025
  • Leidėjas: Routledge
  • ISBN-10: 1032549106
  • ISBN-13: 9781032549101
Kitos knygos pagal šią temą:
Pastovi nuoroda: https://www.kriso.lt/db/9781032549101.html
Raktažodžiai:

Originally published in 1989, this volume carefully catalogues and classifies the effect of bias on quantitative judgments. Each bias is described by model and examples of this bias are given. The examples include both theoretical investigations carried out in the laboratory to study bias and practical illustrations. They are accompanied by a discussion of methods of avoiding bias, where this is possible. An early look into this now widely recognised subject, this book was an invaluable resource for investigators and practitioners in applied science at the time.



Originally published in 1989, this volume carefully catalogues and classifies the effect of bias on quantitative judgments. Each bias is described by model and examples of this bias are given. The examples include both theoretical investigations carried out in the laboratory to study bias and practical illustrations.

Recenzijos

Reviews for the original edition:

"It is a unique book It is an encyclopaedic account of the systematic errors that can occur when subjects try to attach magnitudes to their experiences" Philip T. Smith, Reading University

"It is much needed and will be much cited. It compiles a wealth of otherwise disparate information into a structure unified by a consistent viewpoint and in a way that will be of practical use to people working with human judgement in pure and applied science." A.W. Macrae, Birmingham

"Poulton writes in a crisp clear style which is easy to follow and undergraduates here will have no difficulty in understanding him." Donald Laming, University of Cambridge

Preface. Acknowledgments.
1. A New Approach to Magnitude Judgments
2.
Outline of Biases in Quantifying Judgments
3. Bias in Psychophysical Methods
4. Subjectively Equal Stimulus Spacing and the Stimulus Spacing and Stimulus
Frequency Biases
5. Centering Biases
6. Logarithmic Response Bias
7.
Contraction Bias
8. Range Equalizing Biases
9. Transfer Bias
10. Bias in the
Production of Power Functions. References. Author Index. Subject Index.