Data theory and dimensional analysis

Author(s)

• Jacoby, William G.

Bibliographic Information

Data theory and dimensional analysis

William G. Jacoby

（Sage university papers series, . Quantitative applications in the social sciences ; no. 07-078）

Sage Publications, c1991

• : pbk

Note

Includes bibliographical references

Description and Table of Contents

Description

For many readers, data theory is probably unfamiliar. Data isn't usually the subject matter of theory in and of itself. However, in this volume, William Jacoby introduces a theory of data idea. It examines how real world observations are transformed into something to be analyzed that is, data. Jacoby explores some of the basic ideas of data theory, and considers their implications for research strategies in the social sciences. "Like others in the series, it is reassuringly slim. It is intended for a general social science readership and is a worthwhile read even for experienced data analysts. since it draws attention not only to often overlooked assumptions, but also to often ignored analysis possibilities." --Telephone Surveys "On the whole, this book contains a lot of useful information." --Journal of Classification

Table of Contents

Introduction Measurement Data Theory Dimensionality Data Theory and Scaling Methods Alternating Least Squares, Optimal Scaling Conclusions

by "Nielsen BookData"

Details

• NCID: BA12179902
• ISBN:
  • 0803941781
• Country Code: us
• Title Language Code: eng
• Text Language Code: eng
• Place of Publication: Newbury Park, Calif.
• Pages/Volumes: 89 p.
• Size: 22 cm
• Classification:
  • LCC : H61.27
  • DC20 : 300/.01/5195
  • NDC8 : 417
  • NDC8 : 301.6
• Subject Headings:
  • LCSH : Scaling (Social sciences)
  • LCSH : Social sciences -- Statistical methods
• Parent Bibliography ID:
  • BA00656709