The Application of Individual Differences Scaling to the Measurement of Political Ideologies

1974 ◽  
Vol 18 (2) ◽  
pp. 405 ◽  
Author(s):  
George E. Marcus ◽  
David Tabb ◽  
John L. Sullivan
Keyword(s):  
Individual Differences ◽  
Political Ideologies ◽  
Individual Differences Scaling

The challenge of accounting for individual differences in folk-economic beliefs

2018 ◽  
Vol 41 ◽  
Author(s):  
Benjamin C. Ruisch ◽  
Rajen A. Anderson ◽  
David A. Pizarro
Keyword(s):  
Individual Differences ◽  
Individual Variation ◽  
Political Ideologies ◽  
Economic Beliefs ◽  
Existing Data

AbstractWe argue that existing data on folk-economic beliefs (FEBs) present challenges to Boyer & Petersen's model. Specifically, the widespread individual variation in endorsement of FEBs casts doubt on the claim that humans are evolutionarily predisposed towards particular economic beliefs. Additionally, the authors' model cannot account for the systematic covariance between certain FEBs, such as those observed in distinct political ideologies.

Properties of individual differences scaling and its interpretation

2022 ◽  
Author(s):  
John C. Gower ◽  
Niël J. Le Roux ◽  
Sugnet Gardner-Lubbe
Keyword(s):  
Individual Differences ◽  
Individual Differences Scaling

PERCEIVED QUALITY OF NEIGHBOURHOODS IN A CITY IN NORTHWEST SPAIN: AN INDIVIDUAL DIFFERENCES SCALING APPROACH

1997 ◽  
Vol 17 (3) ◽  
pp. 243-252 ◽  
Author(s):  
Ricardo Garcı́a-Mira ◽  
Constantino Arce ◽  
José M. Sabucedo
Keyword(s):  
Individual Differences ◽  
Perceived Quality ◽  
Individual Differences Scaling

Finding a common ordination for several data sets by individual differences scaling

Vegetatio ◽  
1989 ◽  
Vol 83 (1-2) ◽  
pp. 137-145 ◽  
Author(s):  
Jari Oksanen ◽  
Pertti Huttunen
Keyword(s):  
Individual Differences ◽  
Data Sets ◽  
Individual Differences Scaling

Factorial Ecology in Space and Time: An Alternative Method

1976 ◽  
Vol 8 (7) ◽  
pp. 823-828 ◽  
Author(s):  
R Q Hanham
Keyword(s):  
Factor Analysis ◽  
Individual Differences ◽  
Common Factor ◽  
Published Data ◽  
Original Experiment ◽  
Factorial Ecology ◽  
Alternative Method ◽  
Time Space ◽  
Individual Differences Scaling ◽  
Time Periods

An experiment conducted by Taylor and Parkes (1975) to investigate the factorial ecology of a city within a time—space framework is reexamined by means of an alternative method. The original experiment used common-factor analysis (a two-mode procedure) in a three-mode problem. Using the published data of this experiment, the new method, Individual Differences Scaling (INDSCAL), identifies two major dimensions and defines their importance for each of the time periods being considered. INDSCAL has a greater potential as such a method, since it is capable of analyzing problems of up to seven-mode in nature.

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