2022
DOI: 10.1080/14659891.2022.2084785
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Gambling behavior of husbands of married women living in Turkey and risk factors

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Cited by 7 publications
(4 citation statements)
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“…It is stated that if the VIF values of the variables are 5 and above, there is a moderate degree of multicollinearity between the variables, while values of 10 and above cause a high degree of multicollinearity. In this study, no variable caused multicollinearity among the independent variables ( Alkan et al, 2023a ; Alkan and Kavalcı, 2023 ; Güney et al, 2023 ).…”
Section: Resultsmentioning
confidence: 72%
“…It is stated that if the VIF values of the variables are 5 and above, there is a moderate degree of multicollinearity between the variables, while values of 10 and above cause a high degree of multicollinearity. In this study, no variable caused multicollinearity among the independent variables ( Alkan et al, 2023a ; Alkan and Kavalcı, 2023 ; Güney et al, 2023 ).…”
Section: Resultsmentioning
confidence: 72%
“…The independent variables of the study include age (between the ages of 40 and 49 years, between the ages of 50 and 59 years, and between the ages of 60 and 69 years) [ 13 , 18 ], education (illiterate or did not graduate any school, and elementary school, secondary school, high school, and university graduates) [ 19 21 ], marital status (never married, married, and divorced/widowed) [ 22 ], general health status (very good/good, moderate, and poor/very poor) [ 23 ], having an illness lasted/expected to last longer than 6 months (yes, no) [ 24 ], high level of blood lipid [ 25 , 26 ], receiving psychosocial support (yes, no) [ 27 , 28 ], and frequency of breast self-examination (monthly, every three months, longer than three months, and never) [ 29 ]. Ordinal and nominal variables were defined as dummy variables in order to observe the effects of all categories that will be included in the binary logistic regression model [ 30 ].…”
Section: Methodsmentioning
confidence: 99%
“…All of the variables addressed here are categorical variables with either ordinal or two-state scales. Ordinal and nominal variables were defined as dummy variables so that the effects of the categories of all variables to be included in the binary logistic regression model could be observed ( 30 , 31 ).…”
Section: Methodsmentioning
confidence: 99%