Decision Tree-Based Classification Model for Identification of Effective Leadership Indicators
Identifikátory výsledku
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>
Alternativní jazyky
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.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
50902 - Social sciences, interdisciplinary
Návaznosti výsledku
Projekt
—
Návaznosti
S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2018
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
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