Data Theory and Dimensional Analysis

William G. Jacoby - Michigan State University, USA
Data Theory and Dimensional Analysis
February 1991 | 96 pages | Sage US
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ISBN: 9780803941786
Available from January 0001

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


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Contents

Introduction

Introduction

Measurement

Measurement

Data Theory

Data Theory

Dimensionality

Dimensionality

Data Theory and Scaling Methods

Data Theory and Scaling Methods

Alternating Least Squares, Optimal Scaling

Alternating Least Squares, Optimal Scaling

Conclusions

Conclusions

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


Learn more about "The Little Green Book" - QASS Series! Click Here

Contents

Introduction

Introduction

Measurement

Measurement

Data Theory

Data Theory

Dimensionality

Dimensionality

Data Theory and Scaling Methods

Data Theory and Scaling Methods

Alternating Least Squares, Optimal Scaling

Alternating Least Squares, Optimal Scaling

Conclusions

Conclusions

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Data Theory and Dimensional Analysis


February 1991 | 96 pages | Sage US

Format Published Date ISBN Price
Paperback 28/02/2026 9780803941786 $55.00

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


Learn more about "The Little Green Book" - QASS Series! Click Here


Table Of Contents:

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

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