The Comparison Results of Logit and Probit Regression on Factors of Woman Criminal

Logit and probit regression are statistical methods that have the same is to determine predictor variables affect the categorical response variable. From relevant studies, they have advantages and disadvantages on certain cases. Therefore, the logit and probit regression will be applied on factors o...

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Main Authors: Eva Khoirun Nisa, Any Muanalifah
Format: Article
Language:English
Published: Universitas Muhammadiyah Mataram 2021-10-01
Series:JTAM (Jurnal Teori dan Aplikasi Matematika)
Subjects:
Online Access:http://journal.ummat.ac.id/index.php/jtam/article/view/4150
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author Eva Khoirun Nisa
Any Muanalifah
author_facet Eva Khoirun Nisa
Any Muanalifah
author_sort Eva Khoirun Nisa
collection DOAJ
description Logit and probit regression are statistical methods that have the same is to determine predictor variables affect the categorical response variable. From relevant studies, they have advantages and disadvantages on certain cases. Therefore, the logit and probit regression will be applied on factors of woman criminal considering women crime rate in Central Java is still relatively high. This study aims to compare the result of the two regression so that the best regression model is obtained to explain factors that influence woman criminal. The data type used is primary data obtained using a questionnaire and validated by non-empirical validation. The sample was taken using a quota sampling technique. The result showed that probit regression is the best model with the factors that influence woman criminal are the age of 17-25 years, 26-35 years, junior high school education level, married and ever married marital status.
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spelling doaj.art-161cc977fa1f4062ac122d93e612a0732022-12-21T21:35:42ZengUniversitas Muhammadiyah MataramJTAM (Jurnal Teori dan Aplikasi Matematika)2597-75122614-11752021-10-015228729310.31764/jtam.v5i2.41503030The Comparison Results of Logit and Probit Regression on Factors of Woman CriminalEva Khoirun Nisa0Any Muanalifah1Mathematics, UIN Walisongo SemarangMathematics, University of BirminghamLogit and probit regression are statistical methods that have the same is to determine predictor variables affect the categorical response variable. From relevant studies, they have advantages and disadvantages on certain cases. Therefore, the logit and probit regression will be applied on factors of woman criminal considering women crime rate in Central Java is still relatively high. This study aims to compare the result of the two regression so that the best regression model is obtained to explain factors that influence woman criminal. The data type used is primary data obtained using a questionnaire and validated by non-empirical validation. The sample was taken using a quota sampling technique. The result showed that probit regression is the best model with the factors that influence woman criminal are the age of 17-25 years, 26-35 years, junior high school education level, married and ever married marital status.http://journal.ummat.ac.id/index.php/jtam/article/view/4150logitprobitwoman criminal.
spellingShingle Eva Khoirun Nisa
Any Muanalifah
The Comparison Results of Logit and Probit Regression on Factors of Woman Criminal
JTAM (Jurnal Teori dan Aplikasi Matematika)
logit
probit
woman criminal.
title The Comparison Results of Logit and Probit Regression on Factors of Woman Criminal
title_full The Comparison Results of Logit and Probit Regression on Factors of Woman Criminal
title_fullStr The Comparison Results of Logit and Probit Regression on Factors of Woman Criminal
title_full_unstemmed The Comparison Results of Logit and Probit Regression on Factors of Woman Criminal
title_short The Comparison Results of Logit and Probit Regression on Factors of Woman Criminal
title_sort comparison results of logit and probit regression on factors of woman criminal
topic logit
probit
woman criminal.
url http://journal.ummat.ac.id/index.php/jtam/article/view/4150
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