EN
Using of Hierarchical Loglinear Model in Multiway Frequency Tables and an Application on Suicide Cases
Abstract
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<0.05). There was a significant decrease in the suicide cases in 2018 compared to 2016 (P<0.001). In the sum of the years 2016 and 2018, among the age groups; 2: Suicide cases were observed in the 29-49 age group with a higher rate of 41.45%, while in the 1: 0-19 age group there were fewer suicide cases observed to 11.99%. When factor Gender is Male, factor Year changed from 50.61% to 49.39% at 2016 and 2018, respectively. However, when factor Gender is Female, factor Year changed from 55.71% to 44.29%. This differences in the amount of these changes caused significantly to the interaction of the Gender×Year.
The results has showed that, the main and interaction effects of multiway frequency tables can be interpreted by using HLLM analysis without another statistical method. Hence, it is thought that researchers may prefer HLLM models for the multiway frequency tables.
Keywords
References
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Details
Primary Language
English
Subjects
Statistics
Journal Section
Research Article
Authors
Fatih Üçkardeş
*
0000-0003-0677-7606
Türkiye
Publication Date
December 31, 2022
Submission Date
May 25, 2022
Acceptance Date
August 26, 2022
Published in Issue
Year 1970 Volume: 5 Number: 3
APA
Üçkardeş, F. (2022). Using of Hierarchical Loglinear Model in Multiway Frequency Tables and an Application on Suicide Cases. Sakarya University Journal of Computer and Information Sciences, 5(3), 269-277. https://doi.org/10.35377/saucis...1121388
AMA
1.Üçkardeş F. Using of Hierarchical Loglinear Model in Multiway Frequency Tables and an Application on Suicide Cases. SAUCIS. 2022;5(3):269-277. doi:10.35377/saucis.1121388
Chicago
Üçkardeş, Fatih. 2022. “Using of Hierarchical Loglinear Model in Multiway Frequency Tables and an Application on Suicide Cases”. Sakarya University Journal of Computer and Information Sciences 5 (3): 269-77. https://doi.org/10.35377/saucis. 1121388.
EndNote
Üçkardeş F (December 1, 2022) Using of Hierarchical Loglinear Model in Multiway Frequency Tables and an Application on Suicide Cases. Sakarya University Journal of Computer and Information Sciences 5 3 269–277.
IEEE
[1]F. Üçkardeş, “Using of Hierarchical Loglinear Model in Multiway Frequency Tables and an Application on Suicide Cases”, SAUCIS, vol. 5, no. 3, pp. 269–277, Dec. 2022, doi: 10.35377/saucis...1121388.
ISNAD
Üçkardeş, Fatih. “Using of Hierarchical Loglinear Model in Multiway Frequency Tables and an Application on Suicide Cases”. Sakarya University Journal of Computer and Information Sciences 5/3 (December 1, 2022): 269-277. https://doi.org/10.35377/saucis. 1121388.
JAMA
1.Üçkardeş F. Using of Hierarchical Loglinear Model in Multiway Frequency Tables and an Application on Suicide Cases. SAUCIS. 2022;5:269–277.
MLA
Üçkardeş, Fatih. “Using of Hierarchical Loglinear Model in Multiway Frequency Tables and an Application on Suicide Cases”. Sakarya University Journal of Computer and Information Sciences, vol. 5, no. 3, Dec. 2022, pp. 269-77, doi:10.35377/saucis. 1121388.
Vancouver
1.Fatih Üçkardeş. Using of Hierarchical Loglinear Model in Multiway Frequency Tables and an Application on Suicide Cases. SAUCIS. 2022 Dec. 1;5(3):269-77. doi:10.35377/saucis. 1121388
