Investigation of causality based on complex use of statistical methods (case study of social research)

Investigation of causality based on complex use of statistical methods (case study of social... The article deals with the problem of revealing cause–effect relations in the social research by a complex of statistical methods. The ways for solving the problem for experimental and non-experimental data are regarded. In the research the role of the statistical methods in formation of causal relation hypotheses is revealed and the methods of hypotheses verification in conditions of experiment or upon latent structure modelling are discussed. The possibilities of the use of the factor analysis and the analysis of variance in revealing cause–effect relations are also considered. Special attention is paid to the interpretation of the analysis results depending on the character of the empirical data and the conditions they were obtained in. The approaches to causal relations revealing based on the development of the schemes of the complex analysis of the empirical data by the statistical methods aimed at investigation of the cause and effect relation in a long-term research are suggested. We take into account the hierarchical structure of the schemes reflecting the structure of the subject of cognition, the specificity of which requires the use of “rigid” and “flexible” models in combination. Its variant could be the method of structural equation modelling. The article gives an example of the research of causal relations in the assessment of the quality of education services in higher institution. Each stage of the assessment is provided with building of certain “rigid” or “flexible” mathematical models. Their combination allows using the obtained quality parameters as an instrument of regulation of interaction between education service providers and clients. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Quality & Quantity Springer Journals

Investigation of causality based on complex use of statistical methods (case study of social research)

Loading next page...
 
/lp/springer_journal/investigation-of-causality-based-on-complex-use-of-statistical-methods-Ho6osYvNxy
Publisher
Springer Netherlands
Copyright
Copyright © 2012 by Springer Science+Business Media B.V.
Subject
Social Sciences, general; Methodology of the Social Sciences; Social Sciences, general
ISSN
0033-5177
eISSN
1573-7845
D.O.I.
10.1007/s11135-012-9702-7
Publisher site
See Article on Publisher Site

Abstract

The article deals with the problem of revealing cause–effect relations in the social research by a complex of statistical methods. The ways for solving the problem for experimental and non-experimental data are regarded. In the research the role of the statistical methods in formation of causal relation hypotheses is revealed and the methods of hypotheses verification in conditions of experiment or upon latent structure modelling are discussed. The possibilities of the use of the factor analysis and the analysis of variance in revealing cause–effect relations are also considered. Special attention is paid to the interpretation of the analysis results depending on the character of the empirical data and the conditions they were obtained in. The approaches to causal relations revealing based on the development of the schemes of the complex analysis of the empirical data by the statistical methods aimed at investigation of the cause and effect relation in a long-term research are suggested. We take into account the hierarchical structure of the schemes reflecting the structure of the subject of cognition, the specificity of which requires the use of “rigid” and “flexible” models in combination. Its variant could be the method of structural equation modelling. The article gives an example of the research of causal relations in the assessment of the quality of education services in higher institution. Each stage of the assessment is provided with building of certain “rigid” or “flexible” mathematical models. Their combination allows using the obtained quality parameters as an instrument of regulation of interaction between education service providers and clients.

Journal

Quality & QuantitySpringer Journals

Published: Apr 22, 2012

References

You’re reading a free preview. Subscribe to read the entire article.


DeepDyve is your
personal research library

It’s your single place to instantly
discover and read the research
that matters to you.

Enjoy affordable access to
over 12 million articles from more than
10,000 peer-reviewed journals.

All for just $49/month

Explore the DeepDyve Library

Unlimited reading

Read as many articles as you need. Full articles with original layout, charts and figures. Read online, from anywhere.

Stay up to date

Keep up with your field with Personalized Recommendations and Follow Journals to get automatic updates.

Organize your research

It’s easy to organize your research with our built-in tools.

Your journals are on DeepDyve

Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.

All the latest content is available, no embargo periods.

See the journals in your area

DeepDyve Freelancer

DeepDyve Pro

Price
FREE
$49/month

$360/year
Save searches from
Google Scholar,
PubMed
Create lists to
organize your research
Export lists, citations
Read DeepDyve articles
Abstract access only
Unlimited access to over
18 million full-text articles
Print
20 pages/month
PDF Discount
20% off