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

Kód výsledku v 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>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

10102 - Applied mathematics

Projekt

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Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2017

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

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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Počet stran výsledku

12

Strana od-do

91-102

Název nakladatele

Vydavatelstvo STU - Slovak University of Technoology in Bratislava

Místo vydání

Bratislava

Místo konání akce

Bratislava

Datum konání akce

31. 1. 2017

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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