Structural Equation Modeling Using the Amos and Regression of Effective Organizational Commitment Indicators in Lithuanian Military Forces

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60162694%3AG43__%2F17%3A00534176" target="_blank" >RIV/60162694:G43__/17:00534176 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Structural Equation Modeling Using the Amos and Regression of Effective Organizational Commitment Indicators in Lithuanian Military Forces
Original language description
The interest in Structured Equation Modeling (SEM) techniques are growing. The recognition of their importance to the scientific research suggests the need to evaluate and compare different types of techniques so that the scientific research designs can be selected adequately. Moreover, second-generation data analysis techniques enable researchers to answer a set of interrelated research questions in a single, systematic, and wide-ranging analysis by modeling the relationships among multiple independent and dependent constructs at the same time. After assessing the area to which these techniques are currently being used in the scientific research, the article presents a consecutively example, which analyzes the same dataset via two very different statistical techniques. After that it compares two modeling possibilities: modeling using Analysis of Moment Structures (AMOS) and statistical software package SPSS. Finally, the article discusses linear regression models and offers guidelines as to when SEM techniques and when regression techniques should be used.
Czech name
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Czech description
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Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Aplimat - 16th Conference on Applied Mathematics 2017 Proceedings
ISBN
978-80-227-4650-2
ISSN
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e-ISSN
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Number of pages
12
Pages from-to
91-102
Publisher name
Vydavatelstvo STU - Slovak University of Technoology in Bratislava
Place of publication
Bratislava
Event location
Bratislava
Event date
Jan 31, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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