Multiplicative Models for the Analysis of Occupational Mobility Tables and Other Kinds of Cross-Classification Tables

1979 ◽  
Vol 84 (4) ◽  
pp. 804-819 ◽  
Author(s):  
Leo A. Goodman
Keyword(s):  
Occupational Mobility ◽  
Cross Classification ◽  
Multiplicative Models ◽  
Mobility Tables

New Methods for the Analysis of Occupational Mobility Tables and Other Kinds of Cross-Classifications

1992 ◽  
Vol 21 (5) ◽  
pp. 609 ◽  
Author(s):  
Leo A. Goodman ◽  
Clifford C. Clogg ◽  
Peter Blau ◽  
Otis Dudley Duncan
Keyword(s):  
Occupational Mobility ◽  
New Methods ◽  
Mobility Tables

scholarly journals Mapping the Social Class Structure: From Occupational Mobility to Social Class Categories Using Network Analysis

Sociology ◽  
2017 ◽  
Vol 51 (6) ◽  
pp. 1257-1276 ◽  
Author(s):  
Jonas Toubøl ◽  
Anton Grau Larsen
Keyword(s):  
Social Class ◽  
Social Mobility ◽  
Clustering Algorithm ◽  
Political Action ◽  
Max Weber ◽  
Occupational Mobility ◽  
Class Structure ◽  
The Social ◽  
Class Divisions ◽  
Mobility Tables

This article develops a new explorative method for deriving social class categories from patterns of occupational mobility. In line with Max Weber, our research is based on the notion that, if class boundaries do not inhibit social mobility then the class categories are of little value. Thus, unlike dominant, theoretically defined class schemes, this article derives social class categories from observed patterns in a mobility network covering intra-generational mobility. The network is based on a mobility table of 109 occupational categories tied together by 1,590,834 job shifts on the Danish labour market 2001–2007. The number of categories are reduced from 109 to 34 by applying a new clustering algorithm specifically designed for the study of mobility tables (MONECA). These intra-generational social class categories are related to the central discussions of gender, income, education and political action by providing empirical evidence of strong patterns of intra-generational class divisions along these lines.

Multiplicative vs. arbitrary gene action in heterosis.

Genetics ◽  
1992 ◽  
Vol 131 (2) ◽  
pp. 461-469 ◽  
Author(s):  
F W Schnell ◽  
C C Cockerham
Keyword(s):  
Gene Action ◽  
Extensive Literature ◽  
Additive Effects ◽  
Nonlinear Functions ◽  
Epistatic Effects ◽  
Genetic Significance ◽  
The Mean ◽  
The Difference ◽  
Multiplicative Models ◽  
Multiplicative Effects

Abstract In this article we investigate multiplicative effects between genes in relation to heterosis. The extensive literature on heterosis due to multiplicative effects between characters is reviewed, as is earlier work on the genetic description of heterosis. A two-locus diallelic model of arbitrary gene action is used to derive linear parameters for two multiplicative models. With multiplicative action between loci, epistatic effects are nonlinear functions of one-locus effects and the mean. With completely multiplicative action, the mean and additive effects form similar restrictions for all the rest of the effects. Extensions to more than two loci are indicated. The linear parameters of various models are then used to describe heterosis, which is taken as the difference between respective averages of a cross (F1) and its two parent populations (P). The difference (F2 - P) is also discussed. Two parts of heterosis are distinguished: part I arising from dominance, and part II due to additive x additive (a x a)-epistasis. Heterosis with multiplicative action between loci implies multiplicative accumulation of heterosis present at individual loci in part I, in addition to multiplicative (a x a)-interaction in part II. Heterosis with completely multiplicative action can only be negative (i.e., the F1 values must be less than the midparent), but the difference (F2 - P) can be positive under certain conditions. Heterosis without dominance can arise from multiplicative as well as any other nonadditive action between loci, as is exemplified by diminishing return interaction. The discussion enlarges the scope in various directions: the genetic significance of multiplicative models is considered.(ABSTRACT TRUNCATED AT 250 WORDS)

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