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網絡激情: 中國大陸網絡性愛現象研究. / 中國大陸網絡性愛現象研究 / Wang luo ji qing: Zhongguo da lu wang luo xing ai xian xiang yan jiu. / Zhongguo da lu wang luo xing ai xian xiang yan jiuJanuary 2007 (has links)
任珏. / "2007年9月". / 論文(哲學碩士)--香港中文大學, 2007. / 參考文獻(leaves 190-197). / "2007 nian 9 yue". / Abstract also in English. / Ren Yue / Lun wen (zhe xue shuo shi)--Xianggang Zhong wen da xue, 2007. / Can kao wen xian (leaves 190-197). / 致謝 --- p.i / 摘要 --- p.iii / Chapter 第一章 --- 導論 --- p.1 / 引言 --- p.1 / 網絡性愛(cybersex)的概念 --- p.2 / 研究目的與價值 --- p.4 / 文獻回顧 --- p.8 / 研究方法 --- p.14 / 報告人資料 --- p.19 / 論文框架 --- p.37 / Chapter 第二章 --- 中國人的性行爲與社會空間 --- p.39 / 歷史上的性活動與社會空間 --- p.40 / 網絡性愛的社會環境 --- p.64 / 網絡性愛的出現與發展 --- p.71 / 小結 --- p.72 / Chapter 第三章 --- 網絡激情中的性別與性 --- p.77 / 參與者的類型 --- p.77 / 性別權力關係 --- p.79 / 身體的擬象 --- p.106 / 性息的獲得 --- p.113 / 性材料和性知識 --- p.116 / 性腳本製作 --- p.122 / 小結 --- p.125 / Chapter 第四章 --- 網絡激情中的人際焦慮 --- p.127 / 夫妻關係中的焦慮 --- p.127 / 親子關係中的焦慮 --- p.133 / 同學關係中的焦慮 --- p.135 / 同事關係中的性別焦慮 --- p.138 / 小結 --- p.143 / Chapter 第五章 --- 網絡激情與網絡監管 --- p.153 / 公安機關 --- p.153 / 新聞媒體 --- p.156 / 運營商 --- p.159 / 小結 --- p.163 / Chapter 第六章 --- 結論 --- p.165 / 網絡上的性與性別 --- p.169 / 性、網絡與現實的關係 --- p.175 / 研究價值 --- p.183 / 總結 --- p.186 / 參考文獻 --- p.190
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Understanding sadomasochism an examination of current perspectives /Cross, Patricia A. January 1998 (has links) (PDF)
Thesis (Ph. D.)--Carleton University, 1998. / Includes bibliographical references (leaves 129-142).
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Adult attachment style and internet pornography use among evangelical menMartinkus, Jason B. January 2008 (has links)
Thesis (M.A.)--Denver Seminary, 2008. / Includes bibliographical references (leaves 54-64).
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Adult attachment style and internet pornography use among evangelical menMartinkus, Jason B. January 2008 (has links)
Thesis (M.A.)--Denver Seminary, 2008. / Includes bibliographical references (leaves 54-64).
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Predicting sexual sensation seeking : the third variable effect of time spent on the internetHassan, Neil Ryan 04 1900 (has links)
Thesis (MA)--Stellenbosch University, 2014. / ENGLISH ABSTRACT: The most commonly searched for topic on the internet revolve around sexuality. These searches, known as online sexual pursuits, may be influenced by one’s personality traits, such as sexual sensation seeking (Kalichman et al., 1994), which has been associated with various sexual risk behaviours and could increase one’s chances of contracting sexually transmitted diseases and infections. It is therefore vital for researchers to examine the association between sexual sensation seeking and the internet.
This study collected data from 336 participants who responded to instruments on an online survey which consisted of a demographic questionnaire, the Sexual Sensation Seeking Scale (Kalichman et al., 1994), the Sexual Compulsivity Scale (Kalichman & Rompa, 1995), the Big Five Inventory (John, Naumann, & Soto, 2008), the Real Me Questionnaire (Amichai-Humburger, Wainapel, & Fox, 2002), Klein’s Sexual Orientation Grid (Klein, 1993), and items associated with sexual risk behaviour (Mashegoane, Moalusi, Ngoepe, & Peltzer, 2002), online deception (Capri & Gorski, 2006; Stieger , Eichinger, & Honeder, 2009), and internet use. Results from multiple regression analyses indicated that extraversion, agreeableness, conscientiousness, neuroticism, sexual compulsivity, sexual risk behaviour, and online self-disclosure were statistically significant (p < .05) predictors of sexual sensation seeking.
The study used product-term regression analysis to examine the influence that time spent on the internet has on sexual sensation seeking and its relationship with the statistical predictors thereof. Three distinct third variables were used, namely, hours spent on the internet for work purpose (work hours), hours spent on the internet associated with online sexual pursuits (sexual hours), and hours spent on the internet for personal purposes (personal hours). Through the use of product-term regression analyses I was able to show that work hours as a third variable moderated the relationship between extraversion and sexual sensation seeking; work hours indirectly influenced sexual sensation seeking through sexual compulsivity; and that work hours as a third variable moderated the relationship between online self-disclosure and sexual sensation seeking. Furthermore, sexual hours as a third variable moderated the relationship between sexual compulsivity and sexual sensation seeking. Finally, I have shown that, within the sample, personal hours as a third variable moderated the relationship between sexual compulsivity and sexual sensation seeking; personal hours indirectly influenced sexual sensation seeking through sexual risk behaviour; and personal hours indirectly influenced sexual sensation seeking through online self-disclosure. It thus seems that time spent online influences sexual sensation seeking. It is advised that internet use policies be put in place to establish and maintain a professional culture within the workplace, and to ensure that job performance is consistently met. Internet software packages may be used to identify and report unauthorized online activity, and monitor hours spent online in order to identify individuals who may require treatment with regards to problematic internet use, sexual compulsivity, and inappropriate sexual behaviour in the workplace. Furthermore, the results of this study highlight the internet’s influence on the relationship between sexual compulsivity and sexual sensation seeking, and as such, may be of interest to sex therapists and counsellors in the field of hypersexuality. Finally, corporations, university officials, and youth and sexual health organisations may want to create awareness and provide educational resources with regards to the health risks associated with exploring sexuality via the internet. / AFRIKAANSE OPSOMMING: Temas wat rondom seksualiteit gefokus is, is die mees algemeenste onderwerp wat op die internet nagevors word. Hierdie internet soeke, naamlik aanlyn seksuele strewe, word deels beïnvloed deur persoonlikheids-eienskappe, soos seksuele sensasiesoeke. Verder, seksuele sensasiesoeke is geassosieer met ‘n wye reeks riskante seksuele gedrag en kan die kanse tot seksueel oordraagbare siektes en infeksies verhoog. Hieruit volg dus die noodsaaklikheid dat navorsers die assosiasie moet ondersoek tussen seksuele sensasiesoeke en die internet. In ‘n aanlyn-opname is data van 336 respondente versamel deur die gebruik van instrumente soos 'n demografiese vraelys, Seksuele Sensasiesoekende Skaal (Kalichman et al., 1994), Seksuele Kompulsiwiteit Skaal (Kalichman & Rompa, 1995), Groot-Vyf Inventaris (John, Naumann, & Soto, 2008), Ware Ek Vraelys (Amichai-Humburger, Wainapel, & Fox, 2002), Klein se Seksuele Oriëntasie Rooster (Klein, 1993), en items wat verband hou met riskante seksuele gedrag (Mashegoane, Moalusi, Ngoepe, & Peltzer, 2002), aanlynmisleiding (Capri & Gorski, 2006; Stieger , Eichinger, & Honeder, 2009), en internetgebruik. Resultate van 'n meervoudige regressie-analise het aangedui dat ekstraversie, pligsgetrouheid, welgevalligheid, neurotisisme, seksuele kompulsiwiteit, riskante seksuele gedrag, en aanlyn self bekendmaking statisties beduidende (p < .05) voorspellers van seksuele sensasiesoeke is.
Hierdie studie het produk-term regressie-analise (toets vir interaksie met behulp van meervoudige regressie) gebruik om die derde veranderlik van tyd wat op die internet gespandeer word te analiseer met betrekking tot die verhouding tussen seksuele sensasiesoeke en die statistiese voorspellers van seksuele sensasiesoek. Die derde veranderlike bestaan uit drie verskillende kategorieë naamlik, ure wat aanlyn gespandeer is vir werksdoeleindes (werksure), ure wat op die internet gespandeer is wat verband hou met aanlyn seksuele strewe (seksuele ure), en ure wat aanlyn vir persoonlike doeleindes gespandeer is (persoonlike ure). Resultate dui daarop neer dat werksure die verhouding tussen ekstraversie en seksuele sensasiesoeke gemodereer het, werksure het seksuele sensasiesoeke indirek gebeïnvloed deur seksuele kompulsiwiteit, en dat werksure die verhouding tussen aanlyn selfbekendmaking en seksuele sensasiesoeke gemodereer het. Verder het seksuele ure die verhouding tussen seksuele kompulsiwiteit en seksuele sensasiesoeke gemodereer. Persoonlike ure het die verhouding tussen seksuele kompulsiwiteit en seksuele sensasiesoeke gemodereer, persoonlike ure het seksuele sensasiesoeke indirek gebeïnvloed deur riskante seksuele gedrag, en persoonlike ure het seksuele sensasiesoeke indirek beïnvloed deur aanlyn selfbekendmaking. Dit blyk derhalwe dat die tyd wat op die internet gespandeer word het 'n invloed op seksuele sensasiesoeke. Daar word voorgestel dat beperkende beleidsriglyne binne internetgeledere ingestel word ten einde ‘n professionele kultuur binne die werkplek te verseker. Internet-programme kan gebruik word om ongemagtigde internet-aktiwiteit te identifiseer en aan te meld, aanlyntyd te kontroleer en persone te identifiseer vir moontlike behandeling vir internetverwante probleme, seksuele kompulsiwiteit en ontoepaslike seksuele gedrag binne die werkplek. Voorts fokus hierdie studie op die invloed van die internet met betrekking tot die verhouding tussen seksuele kompulsiwiteit en seksuele sensasiesoeke, en kan van beduidende belang wees vir seksterapeute en beraders wat spesialiseer in die veld van hiperseksualiteit. Ten slotte skep hierdie studie ‘n platform vir organisasies, universiteite, jeug- en seksuele gesondheidsorganisasies om bewustheid en programme te bevorder wat die gesondheids-risiko’s aanspreek wat verband hou met seksuele strewe op die internet.
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Exploring cybersex and alcohol addiction in college studentsDendy, Amy Marie, January 2008 (has links)
Thesis (Ph.D.)--Mississippi State University. Department of Counseling, Educational Psychology, and Special Education. / Title from title screen. Includes bibliographical references.
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Playing on-line sexual subjectivity, gender play, and the construction of the dyke SM fantasy /Setzer, Katharine Adrienne, January 2000 (has links) (PDF)
Thesis (M.A.)--Concordia University, 2000. / Includes bibliographical references (leaves 100-105).
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