Decision Tree-Based Classification Model for Identification of Effective Leadership Indicators

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60162694%3AG42__%2F18%3A00535371" target="_blank" >RIV/60162694:G42__/18:00535371 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/60162694:G43__/18:00535371

Výsledek na webu

<a href="http://journal.itb.ac.id" target="_blank" >http://journal.itb.ac.id</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.5614/j.math.fund.sci.2018.50.2.2" target="_blank" >10.5614/j.math.fund.sci.2018.50.2.2</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Decision Tree-Based Classification Model for Identification of Effective Leadership Indicators

Popis výsledku v původním jazyce

This study was aimed at identifying effective leadership abilities as appreciated by soldiers in the Lithuanian armed forces. Leader behavior was measured using an adapted version of the Leader Behavior Description Questionnaire (LBDQ), which was originally developed by Andrew W. Halpin from Ohio State University. Data were collected from soldiers holding different ranks and doing professional military service in all units of the Lithuanian armed forces and were analyzed using the IBM SPSS version 20 software application. For our data analysis, the Chi-square Automatic Interaction Detector (CHAID) decision tree growing method was used with three class dependent variables. The CHAID algorithm helped in specifying the best splits for each of twelve potential predictors and then select the predictors whose splits presented the most serious differences in the sub-populations of the sample. In the Chi-squared significance test, the lowest p-value was achieved. The model structures obtained after analysis are presented.

Název v anglickém jazyce

Decision Tree-Based Classification Model for Identification of Effective Leadership Indicators

Popis výsledku anglicky

This study was aimed at identifying effective leadership abilities as appreciated by soldiers in the Lithuanian armed forces. Leader behavior was measured using an adapted version of the Leader Behavior Description Questionnaire (LBDQ), which was originally developed by Andrew W. Halpin from Ohio State University. Data were collected from soldiers holding different ranks and doing professional military service in all units of the Lithuanian armed forces and were analyzed using the IBM SPSS version 20 software application. For our data analysis, the Chi-square Automatic Interaction Detector (CHAID) decision tree growing method was used with three class dependent variables. The CHAID algorithm helped in specifying the best splits for each of twelve potential predictors and then select the predictors whose splits presented the most serious differences in the sub-populations of the sample. In the Chi-squared significance test, the lowest p-value was achieved. The model structures obtained after analysis are presented.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

50902 - Social sciences, interdisciplinary

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2018

Kód důvěrnosti údajů

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

Název periodika

Journal of Mathematical and Fundamental Sciences

ISSN

2337-5760

e-ISSN

—

Svazek periodika

50

Číslo periodika v rámci svazku

2

Stát vydavatele periodika

ID - Indonéská republika

Počet stran výsledku

21

Strana od-do

121-141

Kód UT WoS článku

000443457500002

EID výsledku v databázi Scopus

2-s2.0-85053274770