If you need hints on how to collect, describe, compare and analyze data, you will find them in this handy guide. The author addresses specification elaboration, and sampling of the "domain" or what is to be sorted. There is also help on setting the criterion, the pre-test, administration, and record
Data Theory and Dimensional Analysis (Quantitative Applications in the Social Sciences)
โ Scribed by William George Jacoby
- Publisher
- Sage Publications, Inc
- Year
- 1991
- Tongue
- English
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
By examining some of the basic scaling questions, such as the importance of measurement levels, the kinds of variables needed for Likert or Guttman scales and when to use multidimensional scaling versus factor analysis, Jacoby introduces readers to the most appropriate scaling strategies for different research situations. He also explores data theory, the study of how real world observations can be transformed into something to be analyzed, in order to facilitate more effective use of scaling techniques.
๐ SIMILAR VOLUMES
Panel data - information gathered from the same individuals or units at several different points in time - are commonly used in the social sciences to test theories of individual and social change. This book highlights the developments in this technique in a range of disciplines and analytic traditi
Emphasizing the parallels between linear and logistic regression, Scott Menard explores logistic regression analysis and demonstrates its usefulness in analyzing dichotomous, polytomous nominal, and polytomous ordinal dependent variables. The book is aimed at readers with a background in bivariate a
To say that complex data analyses are ubiquitous in the education and social sciences might be an understatement. Funding agencies and peer-review journals alike require that researchers use the most appropriate models and methods for explaining phenomena. Univariate and multivariate data structures
Fuzzy set theory deals with sets or categories whose boundaries are blurry or, in other words, "fuzzy." This book presents an accessible introduction to fuzzy set theory, focusing on its applicability to the social sciences. Unlike most books on this topic, Fuzzy Set Theory: Applications in the Soci