Latent Variables in Socio-Economic Models.

1978 ◽  
Vol 7 (5) ◽  
pp. 663 ◽  
Author(s):  
Fred Pampel ◽  
D. J. Aigner ◽  
A. S. Goldberger
1978 ◽  
Vol 141 (1) ◽  
pp. 118
Author(s):  
P. Whittle ◽  
D. J. Aigner ◽  
A. S. Goldberger

Methodology ◽  
2011 ◽  
Vol 7 (4) ◽  
pp. 157-164
Author(s):  
Karl Schweizer

Probability-based and measurement-related hypotheses for confirmatory factor analysis of repeated-measures data are investigated. Such hypotheses comprise precise assumptions concerning the relationships among the true components associated with the levels of the design or the items of the measure. Measurement-related hypotheses concentrate on the assumed processes, as, for example, transformation and memory processes, and represent treatment-dependent differences in processing. In contrast, probability-based hypotheses provide the opportunity to consider probabilities as outcome predictions that summarize the effects of various influences. The prediction of performance guided by inexact cues serves as an example. In the empirical part of this paper probability-based and measurement-related hypotheses are applied to working-memory data. Latent variables according to both hypotheses contribute to a good model fit. The best model fit is achieved for the model including latent variables that represented serial cognitive processing and performance according to inexact cues in combination with a latent variable for subsidiary processes.


2019 ◽  
Vol 50 (1) ◽  
pp. 24-37
Author(s):  
Ben Porter ◽  
Camilla S. Øverup ◽  
Julie A. Brunson ◽  
Paras D. Mehta

Abstract. Meta-accuracy and perceptions of reciprocity can be measured by covariances between latent variables in two social relations models examining perception and meta-perception. We propose a single unified model called the Perception-Meta-Perception Social Relations Model (PM-SRM). This model simultaneously estimates all possible parameters to provide a more complete understanding of the relationships between perception and meta-perception. We describe the components of the PM-SRM and present two pedagogical examples with code, openly available on https://osf.io/4ag5m . Using a new package in R (xxM), we estimated the model using multilevel structural equation modeling which provides an approachable and flexible framework for evaluating the PM-SRM. Further, we discuss possible expansions to the PM-SRM which can explore novel and exciting hypotheses.


PsycCRITIQUES ◽  
2005 ◽  
Vol 50 (4) ◽  
Author(s):  
Richard Niolon
Keyword(s):  

2002 ◽  
Author(s):  
Gustavo Mazcorro-Tellez ◽  
Servio T. Guillen Burguete
Keyword(s):  

2014 ◽  
pp. 53-64 ◽  
Author(s):  
E. Andreyashchenko ◽  
A. Zazdravnykh

This article is an attempt of summarizing key economic approaches to cartel agreements analysis, its stability, ways of estimating social consequences of cartel agreements. It is alleged that the traditional way of understanding the cartels’ role as completely negative is not accurate; this type of inter-corporate agreements may also bring positive effects on industrial markets. Typical limits of analytical apparatus, contradictions that appear while interpreting results of specific economic models are also represented in the article, as well as substantiation of a discrete role of pricing factor within the analysis of anti-competitive agreements.


2014 ◽  
pp. 99-122
Author(s):  
M. Levin ◽  
K. Matrosova

The paper considers monitoring of environmental change as the central element of environmental regulation. Monitoring, as each kind of principalagent relations, easily gives rise to corruptive behavior. In the paper we analyze economic models of environmental monitoring with high costs, incomplete information and corruption. These models should be the elements of environmental economics and are needed to create an effective system of nature protection measures.


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