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Analysis of Gender Differences in Internet Use of Children

Evidence from Turkey

Bibliographic Data

ID12968555
AuthorsÖmer Alkan (0000-0002-3814-3539, corresponding author)
Year2016
Volume8
Issue1
Pages199-199
Publication date2016-02-13
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueReview of European Studies (JOURNAL)
Journal identifiersISSN: 1918-7173 • E-ISSN: 1918-7181
PublisherCanadian Center of Science and Education (PUBLISHER)
DOI10.5539/res.v8n1p199
OpenAlexW2268884277
LanguageEN
Citations received1
References cited14

In this study, factors in Internet use of female and male children in Turkey were determined with probit regression model by using micro data set in Household Information Technologies Usage Research of 2013 carried out by Turkish Statistical Institute. Dependent variable of the study is two category variable, namely Internet use and non-use of female and male children. Independent variables are socio-economic and demographic variables. According to chi-square analysis, there is a relation between Internet use of female and male children and socio-economic and demographic characteristics. According to probit regression analysis results, for female children, region, educational status, having computer or mobile phone on their own, frequency of watching TV, watching movie, series; floor show, music, game show; watching educational programs such as documentaries, culture, art, reading newspaper and journal in printed media, using mobile phone and frequency of using computer are variables effective in Internet use. Region, rural-urban difference, age, being literate, educational status, having mobile phone or game console on their own, watching entertainment, music, competition programs, reading newspaper and journal in printed media, using mobile phone and, frequency of using computer are variables effective in Internet use among male children. Frequency of using computer is the most effective variable in Internet use and it is more effective among female children compared to male children

Advertising · Business · Instrumental variable · Mobile phone · Newspaper · Ordered probit · Political science · Population · Probit model · Reading (process · Regression analysis · Socioeconomic status · Sociology · Statistics · Telecommunications · The Internet · Turkish · Variables · Child Development and Digital Technology · Computer Science · Demography · Gender and Technology in Education · Impact of Technology on Adolescents · Mathematics · Psychology

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Unique citing works1
Citations per year0,25
Citation span2022 - 2022 (1)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 1

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