Using of Hierarchical Loglinear Model in Multiway Frequency Tables and an Application on Suicide Cases

The aim of this study was to use Hierarchical Loglinear Model (HLLM) in the analysis of multiway frequency tables and to interpret the main and interaction effects of this model on suicide cases. The data set used in this study was taken from the Turkish Republic State Statistical Institute (TUIK)....

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Main Author: Fatih Üçkardeş
Format: Article
Language:English
Published: Sakarya University 2022-12-01
Series:Sakarya University Journal of Computer and Information Sciences
Subjects:
Online Access:https://dergipark.org.tr/tr/download/article-file/2447530
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author Fatih Üçkardeş
author_facet Fatih Üçkardeş
author_sort Fatih Üçkardeş
collection DOAJ
description The aim of this study was to use Hierarchical Loglinear Model (HLLM) in the analysis of multiway frequency tables and to interpret the main and interaction effects of this model on suicide cases. The data set used in this study was taken from the Turkish Republic State Statistical Institute (TUIK). A total of 6479 cases in 2016 and 2018 years were used in this analysis and the analyzes were made by considering gender, year and age variables. As a result of HDLM analysis, Year, Gender and Age, which are the main effects in suicide cases, and the interactions of Year × Gender and Gender × Age were found significantly (P
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spelling doaj.art-c8a3a4e479ef47b3aac6e7f46111f5a92024-01-18T16:44:36ZengSakarya UniversitySakarya University Journal of Computer and Information Sciences2636-81292022-12-015326927710.35377/saucis...112138828Using of Hierarchical Loglinear Model in Multiway Frequency Tables and an Application on Suicide CasesFatih Üçkardeş0ADIYAMAN UNIVERSITYThe aim of this study was to use Hierarchical Loglinear Model (HLLM) in the analysis of multiway frequency tables and to interpret the main and interaction effects of this model on suicide cases. The data set used in this study was taken from the Turkish Republic State Statistical Institute (TUIK). A total of 6479 cases in 2016 and 2018 years were used in this analysis and the analyzes were made by considering gender, year and age variables. As a result of HDLM analysis, Year, Gender and Age, which are the main effects in suicide cases, and the interactions of Year × Gender and Gender × Age were found significantly (Phttps://dergipark.org.tr/tr/download/article-file/2447530contingency tablefrequency tableloglinear modelsuicide
spellingShingle Fatih Üçkardeş
Using of Hierarchical Loglinear Model in Multiway Frequency Tables and an Application on Suicide Cases
Sakarya University Journal of Computer and Information Sciences
contingency table
frequency table
loglinear model
suicide
title Using of Hierarchical Loglinear Model in Multiway Frequency Tables and an Application on Suicide Cases
title_full Using of Hierarchical Loglinear Model in Multiway Frequency Tables and an Application on Suicide Cases
title_fullStr Using of Hierarchical Loglinear Model in Multiway Frequency Tables and an Application on Suicide Cases
title_full_unstemmed Using of Hierarchical Loglinear Model in Multiway Frequency Tables and an Application on Suicide Cases
title_short Using of Hierarchical Loglinear Model in Multiway Frequency Tables and an Application on Suicide Cases
title_sort using of hierarchical loglinear model in multiway frequency tables and an application on suicide cases
topic contingency table
frequency table
loglinear model
suicide
url https://dergipark.org.tr/tr/download/article-file/2447530
work_keys_str_mv AT fatihuckardes usingofhierarchicalloglinearmodelinmultiwayfrequencytablesandanapplicationonsuicidecases