<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">SN</journal-id><journal-title-group><journal-title>Social Networking</journal-title></journal-title-group><issn pub-type="epub">2169-3285</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/sn.2017.61001</article-id><article-id pub-id-type="publisher-id">SN-72840</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Computer Science&amp;Communications</subject></subj-group></article-categories><title-group><article-title>
 
 
  The Role of Internet Pornography Use and Cyber Infidelity in the Associations between Personality, Attachment, and Couple and Sexual Satisfaction
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Anik</surname><given-names>Ferron</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Yvan</surname><given-names>Lussier</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Stéphane</surname><given-names>Sabourin</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Audrey</surname><given-names>Brassard</given-names></name><xref ref-type="aff" rid="aff3"><sup>3</sup></xref></contrib></contrib-group><aff id="aff1"><addr-line>Université du Québec à Trois-Rivières, Québec, Canada</addr-line></aff><aff id="aff3"><addr-line>Université de Sherbrooke, Sherbrooke, Canada</addr-line></aff><aff id="aff2"><addr-line>Université Laval, Québec, Canada</addr-line></aff><author-notes><corresp id="cor1">* E-mail:<email>yvan.lussier@uqtr.ca(YL)</email>;</corresp></author-notes><pub-date pub-type="epub"><day>19</day><month>12</month><year>2016</year></pub-date><volume>06</volume><issue>01</issue><fpage>1</fpage><lpage>18</lpage><history><date date-type="received"><day>October</day>	<month>21,</month>	<year>2016</year></date><date date-type="rev-recd"><day>Accepted:</day>	<month>November</month>	<year>16,</year>	</date><date date-type="accepted"><day>November</day>	<month>19,</month>	<year>2016</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
  Although adults in romantic relationships currently show more openness to online sexual behaviors [1], these behaviors can nevertheless increase couple conflicts and instability [2]. In the current study, we assess the mediating role of Internet pornography use and cyber infidelity in the relationship between 1) personality and attachment, and 2) couple and sexual satisfaction. A total of 779 participants in couple relationships (average age = 29.9 years) completed a series of online questionnaires. According to their responses, 65% of participants visited an adult site at least once during the six months preceding the study, while 16.3% did so multiple times per week. Path model results showed that Internet pornography use and cyber infidelity were sequential mediators between, on the one hand, personality and attachment, and on the other hand, couple and sexual satisfaction. The discussion highlights the importance of properly documenting the correlates of online sexual behavior to better understand new couple realities and dynamics.
 
</p></abstract><kwd-group><kwd>Internet</kwd><kwd> Pornography</kwd><kwd> Cyber Infidelity</kwd><kwd> Couple Satisfaction</kwd><kwd> Sexual  Satisfaction</kwd><kwd> Personality</kwd><kwd> Attachment</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>Accessible, anonymous, and affordable are terms that adequately describe the online pornography industry [<xref ref-type="bibr" rid="scirp.72840-ref3">3</xref>] . Although pornography is increasingly acceptable in Western cultures [<xref ref-type="bibr" rid="scirp.72840-ref4">4</xref>] , its use can trivialize monogamy, lead to infidelity [<xref ref-type="bibr" rid="scirp.72840-ref1">1</xref>] [<xref ref-type="bibr" rid="scirp.72840-ref5">5</xref>] , diminish sexual satisfaction, and even reduce sexual attraction to one’s partner [<xref ref-type="bibr" rid="scirp.72840-ref6">6</xref>] [<xref ref-type="bibr" rid="scirp.72840-ref7">7</xref>] [<xref ref-type="bibr" rid="scirp.72840-ref8">8</xref>] . What’s more, women’s perception of their partner’s pornography use is linked to couple dissatisfaction and sexual dissatisfaction [<xref ref-type="bibr" rid="scirp.72840-ref9">9</xref>] . However, sexual well-being can be enhanced when both partners use pornography [<xref ref-type="bibr" rid="scirp.72840-ref10">10</xref>] . Due to the sheer number of adult sites and their widespread appeal, researchers are increasingly interested in their role within couple dynamics [<xref ref-type="bibr" rid="scirp.72840-ref1">1</xref>] [<xref ref-type="bibr" rid="scirp.72840-ref2">2</xref>] [<xref ref-type="bibr" rid="scirp.72840-ref11">11</xref>] [<xref ref-type="bibr" rid="scirp.72840-ref12">12</xref>] [<xref ref-type="bibr" rid="scirp.72840-ref13">13</xref>] .</p><p>The popularity of online pornography is an important factor in adult sexual dissatisfaction. Social surveys have shown that levels of sexual dissatisfaction can reach 60% [<xref ref-type="bibr" rid="scirp.72840-ref14">14</xref>] . The goal of the present study was to examine the role of Internet pornography<sup>1</sup> use and cyber infidelity (sequential mediating variables) in the associations between 1) personality and attachment insecurities (exogenous variables), and 2) couple and sexual dissatisfaction (endogenous variables).</p><p>The definition of pornography varies for each culture and can differ depending on social context, personal beliefs, and individual experiences [<xref ref-type="bibr" rid="scirp.72840-ref15">15</xref>] . Sexual behaviors such as pornography use are constructed sexual scripts that have been learned through social interactions [<xref ref-type="bibr" rid="scirp.72840-ref16">16</xref>] . Traditional North American sexual scripts suggest that men have urgent sexual needs; their sexual behaviors are valued by society, whereas female sexuality is associated with emotion and commitment. In a North American context, a woman who is very sexually active has an inferior social status. These sexual scripts change depending on the nature of the interpersonal relationship. Modifying or maintaining sexual scripts is an active process involving significant human effort [<xref ref-type="bibr" rid="scirp.72840-ref17">17</xref>] . Today, breaking away from traditional sexual scripts can contribute to increased gender equity and offer more opportunities for sexual satisfaction [<xref ref-type="bibr" rid="scirp.72840-ref18">18</xref>] .</p><p>Carroll et al. [<xref ref-type="bibr" rid="scirp.72840-ref4">4</xref>] define Internet pornography as online photos and/or videos presenting explicit nudity with the goal of enhancing sexual arousal. Internet pornography can also include erotic videos that focus less on genitalia and more on sensuality. Online sexual behaviors can include but are not limited to having an emotional component. These online activities can be performed alone (viewing pornography and masturbating) or in the presence of others via the Internet (webcam or live chat) [<xref ref-type="bibr" rid="scirp.72840-ref19">19</xref>] . If the individual is already involved in a romantic relationship, these behaviors can be considered acts of cyber infidelity.</p><p>Prevalence and relational correlates of pornography use</p><p>A recent study in the United States by Doran and Price [<xref ref-type="bibr" rid="scirp.72840-ref5">5</xref>] explored the pornography use of 20,000 men and women in romantic relationships. Their results showed that 17% of men and 3% of women had visited sexually explicit sites in the last 30 days. These results support similar findings by Carroll et al. [<xref ref-type="bibr" rid="scirp.72840-ref4">4</xref>] , who found that, in a population of young adults, 27% of men―but only 2.2% of women―viewed pornography once or twice per week. Thus, men are more likely to consume pornography and do so for different reasons [<xref ref-type="bibr" rid="scirp.72840-ref20">20</xref>] [<xref ref-type="bibr" rid="scirp.72840-ref21">21</xref>] [<xref ref-type="bibr" rid="scirp.72840-ref22">22</xref>] . Women also reported less sexual arousal when viewing sexually explicit material [<xref ref-type="bibr" rid="scirp.72840-ref23">23</xref>] . Because men’s pornography use is often problematic and compulsive, researchers have devoted less attention to women’s patterns of use.</p><p>Some researchers have conceptualized pornography use as a modern form of sex addiction [<xref ref-type="bibr" rid="scirp.72840-ref24">24</xref>] [<xref ref-type="bibr" rid="scirp.72840-ref25">25</xref>] . However, few have attempted to demonstrate how the personality traits and attachment insecurities of individuals who use online pornography are related to cyber infidelity, couple satisfaction, and sexual satisfaction within adult romantic relationships.</p><p>Previous studies have shown that several personality traits (neuroticism, extroversion, openness to experience, agreeableness, and conscientiousness) are associated with couple dissatisfaction (see Malouff, Thorsteinsson, Schutte, Bhullar, &amp; Rooke, [<xref ref-type="bibr" rid="scirp.72840-ref26">26</xref>] for a review), and more rarely with sexual dissatisfaction [<xref ref-type="bibr" rid="scirp.72840-ref27">27</xref>] . Some of these traits might account for different online behaviors, such as pornography use and cyber infidelity. In turn, these behaviors might predict couple and sexual satisfaction. Until now, this model has not been the focus of empirical research.</p><p>In a study by Egan and Parmer [<xref ref-type="bibr" rid="scirp.72840-ref28">28</xref>] , only neuroticism, agreeableness, and conscientiousness were related to men’s pornography use. Heaven et al. [<xref ref-type="bibr" rid="scirp.72840-ref29">29</xref>] had similar results. These findings suggest that low altruism (agreeableness) and an active imagination (openness) are associated with pornography use. In the present study, we expect that these relationships will also reach significance. Emmers-Sommer, Hertlein, and Kennedy [<xref ref-type="bibr" rid="scirp.72840-ref30">30</xref>] showed that, regardless of gender, pornography use is related to openness and intentions of being unfaithful.</p><p>Very few studies have explored the relationship between personality and cyber infidelity, focusing primarily on in-person infidelity [<xref ref-type="bibr" rid="scirp.72840-ref31">31</xref>] [<xref ref-type="bibr" rid="scirp.72840-ref32">32</xref>] . Low levels of agreeableness and conscientiousness as well as extroversion are the principal characteristics associated with extra dyadic sexual involvement. The current study therefore aims to identify, in both women and men, if these different personality traits are associated with pornography use and cyber infidelity.</p><p>Studies have shown that the two key aspects of attachment―anxiety and avoidance insecurities―are related to couple dissatisfaction [<xref ref-type="bibr" rid="scirp.72840-ref33">33</xref>] and sexual dissatisfaction [<xref ref-type="bibr" rid="scirp.72840-ref34">34</xref>] . To our knowledge, the relationship between attachment, pornography use, and cyber infidelity is poorly documented [<xref ref-type="bibr" rid="scirp.72840-ref35">35</xref>] . People who score high on attachment-related anxiety and avoidance experience greater couple dissatisfaction [<xref ref-type="bibr" rid="scirp.72840-ref36">36</xref>] and sexual dissatisfaction, and pornography use is related to the quality of romantic relationships [<xref ref-type="bibr" rid="scirp.72840-ref35">35</xref>] . It seems relevant to consider the attachment insecurities of pornography users in order to better understand their interpersonal and sexual dynamics.</p><p>Attachment-related anxiety is characterized by a persistent fear of being unloved and rejected by one’s partner. Anxiously attached individuals generally find sex reassuring and emotionally fulfilling [<xref ref-type="bibr" rid="scirp.72840-ref37">37</xref>] [<xref ref-type="bibr" rid="scirp.72840-ref38">38</xref>] . Attachment-related avoidance, on the other hand, is characterized by discomfort with intimacy and emotional dependence. Avoidantly attached individuals are more likely to satisfy their sexual desires without considering how this will affect their romantic partner [<xref ref-type="bibr" rid="scirp.72840-ref33">33</xref>] . In her review of the literature, Dewitte [<xref ref-type="bibr" rid="scirp.72840-ref39">39</xref>] recommended that researchers better document the mechanisms that connect anxiety and avoidance to sexual dissatisfaction.</p><p>In their study examining antecedents and consequences of men’s pornography use, Szymanski and Stewart-Richardson [<xref ref-type="bibr" rid="scirp.72840-ref35">35</xref>] showed that gender role conflict in men is directly related to relationship and sexual satisfaction, but also indirectly related due to the sequential effects of attachment and pornography use. More specifically, indirect effects showed that gender role is linked positively to attachment-related anxiety and avoidance, which in turn is related to online pornography use. Only online pornography use was related to couple and sexual satisfaction. According to Szymanski and Stewart-Richardson, individuals with attachment-related anxiety are likely to use pornography because they feel vulnerable in their relationships. Individuals with attachment-related avoidance are less likely to be sexually intimate with a romantic partner, and pornography helps them satisfy their sexual needs. However, the abovementioned authors only studied men’s attachment insecurities. In the present study, we explore these relationships both in men and women.</p><p>Regarding the relationship between attachment and cyber infidelity, research has primarily focused on in-person infidelity as opposed to online infidelity. Individuals with attachment insecurity are more inclined to seek out extradyadic sexual encounters [<xref ref-type="bibr" rid="scirp.72840-ref32">32</xref>] [<xref ref-type="bibr" rid="scirp.72840-ref40">40</xref>] [<xref ref-type="bibr" rid="scirp.72840-ref41">41</xref>] [<xref ref-type="bibr" rid="scirp.72840-ref42">42</xref>] . This is especially true for those with extreme attachment-related anxiety [<xref ref-type="bibr" rid="scirp.72840-ref43">43</xref>] [<xref ref-type="bibr" rid="scirp.72840-ref44">44</xref>] [<xref ref-type="bibr" rid="scirp.72840-ref45">45</xref>] . We suppose that both insecure dimensions of attachment are related to online infidelity.</p><p>Pornography and infidelity</p><p>Research has shown that visiting sexually explicit sites is associated with a greater likelihood of infidelity [<xref ref-type="bibr" rid="scirp.72840-ref1">1</xref>] [<xref ref-type="bibr" rid="scirp.72840-ref5">5</xref>] , especially in men during their first years of marriage [<xref ref-type="bibr" rid="scirp.72840-ref5">5</xref>] . In a study by Stack, Wasserman, and Kern [<xref ref-type="bibr" rid="scirp.72840-ref46">46</xref>] , adults who had used pornography more than three times in the last month were more likely to be unfaithful than adults who did not report extradyadic sexual behaviors. Wysocky and Childers [<xref ref-type="bibr" rid="scirp.72840-ref47">47</xref>] demonstrated that men were five times more likely to develop an online extramarital relationship if they had engaged in cybersex, while women were three times more likely. In sum, pornography use and cyber infidelity are important issues to consider when examining couple satisfaction and sexual satisfaction, and were therefore chosen as mediating variables in the present study. However, until now, no study has specified the direction of the relationship between pornography and cyber infidelity. Based on previous studies, we propose that pornography use is associated with online extra dyadic sexual behaviors.</p><p>Pornography, couple satisfaction, and sexual satisfaction</p><p>In general, pornography use is negatively associated with couple satisfaction [<xref ref-type="bibr" rid="scirp.72840-ref1">1</xref>] [<xref ref-type="bibr" rid="scirp.72840-ref2">2</xref>] [<xref ref-type="bibr" rid="scirp.72840-ref5">5</xref>] [<xref ref-type="bibr" rid="scirp.72840-ref8">8</xref>] [<xref ref-type="bibr" rid="scirp.72840-ref48">48</xref>] [<xref ref-type="bibr" rid="scirp.72840-ref49">49</xref>] . Willoughby et al. [<xref ref-type="bibr" rid="scirp.72840-ref12">12</xref>] have argued that the association between pornography use and couple dissatisfaction can be explained by men’s aggressiveness, women’s lower sex drives, and poor within-couple communication. Muusses et al. [<xref ref-type="bibr" rid="scirp.72840-ref48">48</xref>] have stated that men’s pornography use is associated with low couple satisfaction and sexual satisfaction, which supports findings by Landripet and Štulhofer [<xref ref-type="bibr" rid="scirp.72840-ref50">50</xref>] . Women’s use of pornography is linked to greater marital satisfaction [<xref ref-type="bibr" rid="scirp.72840-ref11">11</xref>] for both partners [<xref ref-type="bibr" rid="scirp.72840-ref2">2</xref>] . The combined results of these studies form the basis of the present model, which proposes that pornography use explains couple and sexual dissatisfaction through cyber infidelity. Based on previous studies, this relationship should differ depending on the participant’s gender.</p><p>Cyber infidelity, couple satisfaction, and sexual satisfaction</p><p>In recent years, cyber infidelity has been increasingly studied [<xref ref-type="bibr" rid="scirp.72840-ref51">51</xref>] [<xref ref-type="bibr" rid="scirp.72840-ref52">52</xref>] [<xref ref-type="bibr" rid="scirp.72840-ref53">53</xref>] . The overall consensus is that cyber infidelity is potentially harmful to the couple [<xref ref-type="bibr" rid="scirp.72840-ref54">54</xref>] [<xref ref-type="bibr" rid="scirp.72840-ref55">55</xref>] . In some studies, the prevalence of cyber infidelity reached 63.6% [<xref ref-type="bibr" rid="scirp.72840-ref47">47</xref>] . However, this statistic should be taken lightly as the participants were recruited via Ashley Madison, a social networking site for extramarital relationships. We propose that cyber infidelity is related to couple and sexual dissatisfaction. Because rates of infidelity among men are known to be higher than among women [<xref ref-type="bibr" rid="scirp.72840-ref56">56</xref>] [<xref ref-type="bibr" rid="scirp.72840-ref57">57</xref>] [<xref ref-type="bibr" rid="scirp.72840-ref58">58</xref>] , gender should be addressed when looking at cyber infidelity.</p><p>Objectives</p><p>The current study proposes a cascade model where pornography use and cyber infidelity explain the associations between, on the one hand, personality and attachment, and on the other hand, couple and sexual satisfaction. We hypothesize that personality and attachment variables are related to pornography use, which in turn is associated with cyber infidelity. Finally, we propose that cyber infidelity is associated with couple and sexual satisfaction. Furthermore, because women and men show distinct patterns of pornography use (e.g., Hald &amp; Mulya [<xref ref-type="bibr" rid="scirp.72840-ref21">21</xref>] ), we hypothesize that the model will differ according to gender.</p></sec><sec id="s2"><title>2. Methods</title><p>Participants</p><p>The sample consisted of 779 French-Canadians (524 women and 255 men) living in Quebec who used a computer and were currently in a couple relationship. Since the study was conducted online and a number of participants dropped out midway, the number of participants changed from one questionnaire variable to the next. Among those who reported visiting adult sites during the past six months, 230 were men and 272 were women. Four inclusion criteria were applied: participants were in a couple relationship at the onset of the study, were between the ages of 18 and 65, had access to the Internet, and had completed the section of the online questionnaire about adult sites. Regarding the participants’ education, 17.5% (n = 102) had finished high school, 6% (n = 35) had a diploma of vocational studies, 36.9% (n = 215) had a college degree (in Quebec, College education generally spans 2 or 3 years after high school and precedes university undergraduate studies), 25.3% (n = 147) had an undergraduate university degree, and 14.9% (n = 87) had a graduate university degree. In total, 456 participants were employed at the time of the study (79.4%). Participants were primarily heterosexual (91.4%), while 3.1% were homosexual and 5.5% were bisexual. Regarding relationship status, 14.8% of the participants were in a couple relationship but were not cohabiting, 36.2% were married, 41.1% were common-law partners, and 7.9% were separated or divorced currently engaged in a couple relationship with a new partner. The average age of participants was 29.85 years (SD = 9.91) and the average length of their relationship was 6.36 years (SD = 6.57).</p><p>Procedure</p><p>Participants were recruited through local newspapers, Facebook, discussion forums, and emails sent out from March to September 2011. Participants had to visit the Survey Monkey website and complete an online questionnaire. The website’s software ensures participants’ confidentiality and follows strict ethical standards (including data encryption). Participants were informed of the study’s objective: to examine the individual factors that motivate pornography use and assess their impact on the couple relationship. Participants were asked to complete a consent form. The study was approved by the Institutional Review Board. As compensation, five $100 gift certificates were drawn at random and distributed to participants who had agreed to share their email address.</p><p>Instruments</p><p>Participants completed several questionnaires, including a demographic questionnaire. On average, participants completed the online questionnaires in 45 minutes.</p><p>Personality. Personality was assessed using 15 items [<xref ref-type="bibr" rid="scirp.72840-ref59">59</xref>] [<xref ref-type="bibr" rid="scirp.72840-ref60">60</xref>] , which measured, on a five-point Likert scale, dimensions of the Five-Factor personality model [<xref ref-type="bibr" rid="scirp.72840-ref61">61</xref>] : neuroticism (low emotional stability, low adaptive capacity in response to stressors; α = 0.79), extroversion (highly involved in interpersonal relationships, confident; α = 0.73), openness to experience (curious about the world, interested in varied experiences; α = 0.63), agreeableness (friendly, empathetic, helpful; α = 0.71) and conscientiousness (highly controlling of emotions and impulses, organized, dependable; α = 0.79).</p><p>Attachment. The original questionnaire evaluating attachment in romantic relationships consisted of 36 items [<xref ref-type="bibr" rid="scirp.72840-ref62">62</xref>] [<xref ref-type="bibr" rid="scirp.72840-ref63">63</xref>] assessing two dimensions: anxiety and avoidance. Their internal consistency is high, varying between 0.84 and 0.86. Lafontaine et al. [<xref ref-type="bibr" rid="scirp.72840-ref64">64</xref>] developed an abridged version of the attachment questionnaire. In the present study, ten items were retained. Cronbach’s alpha coefficient values for the anxiety dimension (α = 0.86) and the avoidance dimension (α = 0.85) were adequate.</p><p>Couple satisfaction. Couple satisfaction was assessed with a short four-item version of the Dyadic Adjustment Scale (DAS, Spanier [<xref ref-type="bibr" rid="scirp.72840-ref65">65</xref>] ), developed by Sabourin, Valois, and Lussier [<xref ref-type="bibr" rid="scirp.72840-ref66">66</xref>] . Sabourin et al. [<xref ref-type="bibr" rid="scirp.72840-ref66">66</xref>] demonstrated that the abridged version is just as effective as the original 32-item version in distinguishing between distressed and happy couples. The abridged version had an adequate internal consistency (α = 0.84) in the present sample.</p><p>Sexual satisfaction. Sexual satisfaction was assessed with five items (e.g., “Are you satisfied with the variety of sexual activities you engage in with your current partner?” “Are you satisfied with your sex life in general?”) rated on a six-point Likert scale developed by Nowinsky and Lopiccolo [<xref ref-type="bibr" rid="scirp.72840-ref67">67</xref>] . Cronbach’s alpha coefficient for the five items reached 0.93.</p><p>Adult sites. One item rated on a seven-point scale asked the respondents if they had visited an adult site (online explicit nude photographs―genitals, breasts, or buttocks―and/or XXX videos―sex, cunnilingus, fellatio, anal sex, etc.―of men and women over the age of 18) in the past six months (1 = no to 7 = every day).</p><p>Cyber infidelity. Two items based on a dichotomous scale were developed to assess if emotional or sexual infidelity had occurred on the Internet: 1) “Have you ever been emotionally involved with someone other than your romantic partner on the Internet while you were in a stable couple relationship? (e.g., acted seductively, expressed or felt feelings of love, given compliments)” 2) “Have you ever had sexual exchanges with someone other than your romantic partner on the Internet while you were in a stable couple relationship? (e.g., watched someone sexually stimulate themselves)”. The internal consistency coefficient was KD = 0.56.</p><p>One question was also developed to better understand how participants defined cyber infidelity. Six scenarios were presented and participants were asked to select those that described an act of infidelity: visiting adult sites, exchanging personal information via live chat, having sexual exchanges via webcam, having sexual exchanges without webcam, being a member of an adult site, and having cybersex via webcam.</p></sec><sec id="s3"><title>3. Results</title><p>Descriptive analyses</p><p>Regarding the frequency of pornography use, results showed that 35.6% (n = 277) of participants had never visited an adult site, 15.8% (n = 123) had only been once, 12.1% (n = 94) went once a month, 6.8% (n = 53) twice a month, 11.2% (n = 87) once a week, and 16.3% (n = 127) multiple times a week. Only 2.3% (n = 18) visited adult sites every day. The t-test results (t(777) = 19.30, p &lt; 0.001) indicated that men (M = 4.68, SD = 1.7) visited adult sites more frequently than women (M = 2.18, SD = 1.5). The effect size was 1.52 (Cohen’s d), which is a strong effect. The percentage of participants who selected one or more of the six scenarios describing potentially unfaithful behaviors were: 12.1% (n = 94) for visiting adult sites, 30.3% (n = 236) for exchanging personal information via live chat, 82.9% (n = 646) for having sexual exchanges via webcam, 76.9% (n = 599) for having sexual exchanges without webcam, 27.3% (n = 213) for being a member of an adult site, and 90.1% (n = 702) for having cybersex via webcam.</p><p>Preliminary analyses</p><p>The bivariate correlations between personality traits, attachment, pornography use, cyber infidelity, couple satisfaction, and sexual satisfaction are presented in <xref ref-type="table" rid="table1">Table 1</xref>.</p><p>Path model</p><p>The path model was assessed using mediation analyses, based on procedures proposed by Preacher, Rucker, and Hayes [<xref ref-type="bibr" rid="scirp.72840-ref68">68</xref>] . The model confirmed the presence of sequential mediation effects, which implies that participants’ pornography use and cyber infidelity are mediators of the relationship between 1) per-</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Correlations among pornography use, personal, relational, and sexual variables (n = 779)</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Variable</th><th align="center" valign="middle" >1</th><th align="center" valign="middle" >2</th><th align="center" valign="middle" >3</th><th align="center" valign="middle" >4</th><th align="center" valign="middle" >5</th><th align="center" valign="middle" >6</th><th align="center" valign="middle" >7</th><th align="center" valign="middle" >8</th><th align="center" valign="middle" >9</th><th align="center" valign="middle" >10</th></tr></thead><tr><td align="center" valign="middle" >1. Extroversion</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >2. Agreeableness</td><td align="center" valign="middle" >0.25**</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >3. Conscientiousness</td><td align="center" valign="middle" >0.00</td><td align="center" valign="middle" >0.17**</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >4. Neuroticism</td><td align="center" valign="middle" >−0.16**</td><td align="center" valign="middle" >−0.13**</td><td align="center" valign="middle" >−0.04</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >5. Openness</td><td align="center" valign="middle" >0.28**</td><td align="center" valign="middle" >0.28**</td><td align="center" valign="middle" >0.00</td><td align="center" valign="middle" >−0.20**</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >6. Avoidance</td><td align="center" valign="middle" >−0.16**</td><td align="center" valign="middle" >−0.19**</td><td align="center" valign="middle" >−0.11**</td><td align="center" valign="middle" >0.07*</td><td align="center" valign="middle" >−0.12**</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >7. Anxiety</td><td align="center" valign="middle" >−0.23**</td><td align="center" valign="middle" >−0.10**</td><td align="center" valign="middle" >−0.10**</td><td align="center" valign="middle" >0.38**</td><td align="center" valign="middle" >−0.16**</td><td align="center" valign="middle" >0.16**</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >8. Pornography</td><td align="center" valign="middle" >0.03</td><td align="center" valign="middle" >−0.08*</td><td align="center" valign="middle" >−0.21**</td><td align="center" valign="middle" >−0.10**</td><td align="center" valign="middle" >0.11**</td><td align="center" valign="middle" >0.17**</td><td align="center" valign="middle" >0.03</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >9. Cyber infidelity</td><td align="center" valign="middle" >0.05</td><td align="center" valign="middle" >−0.00</td><td align="center" valign="middle" >−0.13**</td><td align="center" valign="middle" >−0.01</td><td align="center" valign="middle" >0.07</td><td align="center" valign="middle" >0.13**</td><td align="center" valign="middle" >0.11**</td><td align="center" valign="middle" >0.27**</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >10. SS</td><td align="center" valign="middle" >0.08*</td><td align="center" valign="middle" >0.09*</td><td align="center" valign="middle" >0.00</td><td align="center" valign="middle" >−0.09*</td><td align="center" valign="middle" >0.05</td><td align="center" valign="middle" >−0.42**</td><td align="center" valign="middle" >−0.10**</td><td align="center" valign="middle" >−0.09*</td><td align="center" valign="middle" >−0.16**</td><td align="center" valign="middle" >-</td></tr><tr><td align="center" valign="middle" >11. CS</td><td align="center" valign="middle" >0.08*</td><td align="center" valign="middle" >0.14**</td><td align="center" valign="middle" >0.00</td><td align="center" valign="middle" >−0.13**</td><td align="center" valign="middle" >0.06</td><td align="center" valign="middle" >−0.57**</td><td align="center" valign="middle" >−0.18**</td><td align="center" valign="middle" >−0.11**</td><td align="center" valign="middle" >−0.22**</td><td align="center" valign="middle" >0.67**</td></tr></tbody></table></table-wrap><p>Note: SS = sexual satisfaction. SC = couple satisfaction. *p &lt; 0.05. **p &lt; 0.01.</p><p>sonality and attachment (exogenous variables), and 2) couple and sexual dissatisfaction (dependent or endogenous variables). The path model was estimated using Mplus [<xref ref-type="bibr" rid="scirp.72840-ref69">69</xref>] . The missing data was analyzed using the full information maximum likelihood estimation (FIML), which uses maximum likelihood to estimate the model’s parameters using as much raw data as possible [<xref ref-type="bibr" rid="scirp.72840-ref70">70</xref>] . Three indices were used to verify the model’s fit: the comparative fit index (CFI), the Tucker-Lewis index (TLI), and the root mean square error of approximation (RMSEA). Hoyle [<xref ref-type="bibr" rid="scirp.72840-ref71">71</xref>] has shown that a CFI and TLI above .90 and .95 indicate a satisfactory and excellent fit to the data, respectively, and RMSEA values equal or inferior to .08 are acceptable [<xref ref-type="bibr" rid="scirp.72840-ref72">72</xref>] .</p><p>The proposed mediation model indices indicated that the theoretical model of the relationship between variables was a good fit to the data (χ<sup>2</sup>(3) = 1.547, p = 0.67, CFI = 1.00, TLI = 1.02, RMSEA = 0.000 [95% CI = 0.000, 0.047]). The Bootstrap method was used to test the significance of the indirect or mediating effects (using 5000 random samples, with replacement from the original sample) in order to construct bias-corrected confidence intervals. Analyses showed that all effects were significant at p &lt; 0.05.</p><p><xref ref-type="fig" rid="fig1">Figure 1</xref> shows that neuroticism, conscientiousness, attachment-related anxiety, and attachment-related avoidance were directly related to couple dissatisfaction. Avoidance also had a direct negative association with sexual satisfaction. Interestingly, avoidance explained couple and sexual satisfaction through pornography use followed by cyber infidelity, or simply through cyber infidelity (total direct and indirect effects).</p><p>As hypothesized, the analysis of indirect effects showed that pornography use did not directly explain couple or sexual satisfaction; rather, the relationship was mediated by cyber infidelity. Thus, low neuroticism, high openness, low conscientiousness, and high anxious or avoidant attachment explained pornography</p><fig id="fig1"  position="float"><label><xref ref-type="fig" rid="fig1">Figure 1</xref></label><caption><title> Model linking personality, attachment insecurities, pornography use, cyber infidelity, couple satisfaction, and sexual satisfaction. Only significant (p &lt; 0.05) standardized regression coefficients (β) are presented. The covariance between exogenous variables was estimated. The links between these variables are not presented to simplify the diagram</title></caption><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/1-2680136x3.png"/></fig><p>use, which predicted cyber infidelity, which in turn predicted couple and sexual dissatisfaction. Regarding the second indirect relationship, attachment-related anxiety and avoidance were associated with cyber infidelity, which predicted couple and sexual dissatisfaction.</p><p>To test the second hypothesis, the model was estimated separately in men and women. Results showed a significant difference across genders (c<sup>2</sup> (6) = 56.38, p = 0.007). The model’s mediation indices in men indicated that the theoretical model of the relationship between variables was a good fit to the data (χ<sup>2</sup>(2) = 0.64, p = 0.73, CFI = 1.00, TLI = 1.11, RMSEA = 0.000 [95% CI = 0.000, 0.088]). Regarding personality traits, only low conscientiousness was related to pornography use. There was a direct relationship between low avoidance and couple satisfaction. Attachment-related anxiety and avoidance were also positively associated with cyber infidelity, but were not related to pornography use. Pornography use was positively correlated to cyber infidelity and negatively correlated to sexual satisfaction. Finally, cyber infidelity was only negatively related to couple satisfaction. There was no significant relationship between cyber infidelity and sexual satisfaction. Percentages of explained variance were small to moderate: viewing pornography = 5%, cyber infidelity = 10%, marital satisfaction = 30%, and sexual satisfaction = 16%.</p><p>The model’s mediation indices in women indicated that the theoretical model of the relationship between variables was a good fit to the data (χ<sup>2</sup>(2) = 4.91, p = 0.09, CFI = 0.996, TLI = 0.931, RMSEA = 0.05 [95% CI = 0.000, 0.114]). The significant relationships between the model’s variables were similar to those in the model including all participants, except for six associations. Attachment-related anxiety was positively correlated to pornography use, while in the general model, it was positively correlated to cyber infidelity. Attachment-related avoidance was no longer significantly related to pornography use. Women’s extroversion was negatively correlated to their couple satisfaction, while this relationship was not significant in the general model. Neuroticism was negatively correlated to sexual satisfaction, while in the model containing all participants, it was related to couple satisfaction. However, the relationship between women’s neuroticism and their pornography use was not significant. Furthermore, women’s pornography use was positively correlated to their sexual satisfaction. This positive association did not appear in the general model. Explained variance was small to moderate: viewing pornography = 12%, cyber infidelity = 10%, marital satisfaction = 39%, and sexual satisfaction = 23%.</p></sec><sec id="s4"><title>4. Discussion</title><p>Many researchers and clinicians have attempted to identify variables related to couple and sexual satisfaction. Some have focused on personality [<xref ref-type="bibr" rid="scirp.72840-ref26">26</xref>] [<xref ref-type="bibr" rid="scirp.72840-ref27">27</xref>] , others on attachment [<xref ref-type="bibr" rid="scirp.72840-ref33">33</xref>] , sexuality [<xref ref-type="bibr" rid="scirp.72840-ref34">34</xref>] , conflicts, violence, lack of commitment [<xref ref-type="bibr" rid="scirp.72840-ref73">73</xref>] , and many other variables. New behaviors surrounding computer technologies, specifically pornography use and cyber infidelity, are social, cultural, and relational issues, and need to be included in new explanatory models. Our results indicated that pornography use is associated with couple and sexual difficulties through increased cyber infidelity. These original findings confirm the existence of “modern” forms of infidelity. While previous studies have suggested that these virtual relationships do not represent a “real” physical transgression of couple norms or a betrayal of one’s partner [<xref ref-type="bibr" rid="scirp.72840-ref55">55</xref>] , our empirical data is evidence to the contrary.</p><p>Cyber infidelity is a key link in the complex causal chain explaining variations in relationship quality. While many researchers have already shown that pornography use increases the probability of in-person extradyadic sex [<xref ref-type="bibr" rid="scirp.72840-ref5">5</xref>] [<xref ref-type="bibr" rid="scirp.72840-ref46">46</xref>] [<xref ref-type="bibr" rid="scirp.72840-ref47">47</xref>] , cyber infidelity is another possible consequence. Future studies should explore the nature of the relationship between cyber infidelity and in-person infidelity. Online behaviors might vary in intensity along a continuum, from pornography use to live chat to emotional and sexual exchanges via webcam. To this end, future research should address overall Internet use (email, social networks, sexually explicit sites, etc.) to understand how various online situations can affect the development of cyber infidelity.</p><p>Path model results revealed several interesting relationships, particularly for neuroticism, intimacy avoidance, and sequential mediation. High neuroticism was directly related to low couple satisfaction. Furthermore, neuroticism was indirectly related to cyber infidelity through its negative relationship with pornography use. In turn, cyber infidelity was associated with couple and sexual satisfaction. These results confirm previous research findings showing that neuroticism is strongly related to couple dissatisfaction [<xref ref-type="bibr" rid="scirp.72840-ref26">26</xref>] [<xref ref-type="bibr" rid="scirp.72840-ref74">74</xref>] [<xref ref-type="bibr" rid="scirp.72840-ref75">75</xref>] . However, contrary to Egan and Parmer [<xref ref-type="bibr" rid="scirp.72840-ref28">28</xref>] , our results indicate that low neuroticism is related to pornography use. In other words, our study suggests that calm and laid-back individuals tend to watch more pornography. Future studies should strive for a more complete assessment of neuroticism characteristics to better understand this counterintuitive result. Low conscientiousness was associated with pornography use, which also supports findings by Egan and Parmer. However, caution should be exercised when comparing results since the present study was not limited to individuals who were dependent on pornography. Only 2.3% of participants used pornography every day. A study by Widiger and Mullins-Sweatt [<xref ref-type="bibr" rid="scirp.72840-ref76">76</xref>] showed that low conscientiousness is often characterized by disorganization and carelessness, and very low levels of conscientiousness can be characterized by impulsiveness and negligence. Thus, an individual with low conscientiousness might exhibit deviant or compulsive online sexual behavior.</p><p>Finally, openness was positively related to pornography use. These results support findings by Emmers-Sommer et al. [<xref ref-type="bibr" rid="scirp.72840-ref30">30</xref>] , who found that pornography users were less conservative when it came to sexual attitudes and behaviors, and Heaven et al. [<xref ref-type="bibr" rid="scirp.72840-ref29">29</xref>] , who found that active imagination was associated with the desire to use pornography. Thus, pornography use seems to be explained by non-conventional traits, which reflect curiosity, imagination, and unrealistic expectations [<xref ref-type="bibr" rid="scirp.72840-ref76">76</xref>] . Surprisingly, extroversion was not a significant trait in the present model, even though previous studies have shown it to be a defining feature of individuals who use social networking sites [<xref ref-type="bibr" rid="scirp.72840-ref77">77</xref>] [<xref ref-type="bibr" rid="scirp.72840-ref78">78</xref>] [<xref ref-type="bibr" rid="scirp.72840-ref79">79</xref>] , sexting behavior [<xref ref-type="bibr" rid="scirp.72840-ref80">80</xref>] , engage in extramarital relationships, and use pornography [<xref ref-type="bibr" rid="scirp.72840-ref81">81</xref>] . Future studies should clarify these inconsistent results.</p><p>Cyber infidelity was also explained by attachment insecurity. Previous studies have established that attachment-related avoidance negatively predicts couple dissatisfaction and sexual satisfaction [<xref ref-type="bibr" rid="scirp.72840-ref33">33</xref>] . In the present study, our results suggested that both mediators―cyber infidelity and pornography use―can reflect a lack of commitment in the relationship, as well as a desire to seek out alternative relationships, both of which are common in avoidant individuals. Furthermore, if we assume that intimacy avoidant individuals are selfish when it comes to their sexual needs, as Mikulincer and Shaver [<xref ref-type="bibr" rid="scirp.72840-ref33">33</xref>] have suggested, it comes as no surprise that pornography use is part of their sexual repertoire [<xref ref-type="bibr" rid="scirp.72840-ref35">35</xref>] . In these situations, the Internet becomes a safe space, shielding avoidant individuals from all forms of commitment.</p><p>The direct relationship between attachment-related anxiety and couple satisfaction was not surprising, given the numerous studies on couple satisfaction and attachment insecurity [<xref ref-type="bibr" rid="scirp.72840-ref33">33</xref>] . Regarding the indirect relationship between anxiety and couple and sexual satisfaction via cyber infidelity, several studies focusing on in-person infidelity have already shown that these two variables are related [<xref ref-type="bibr" rid="scirp.72840-ref32">32</xref>] [<xref ref-type="bibr" rid="scirp.72840-ref40">40</xref>] [<xref ref-type="bibr" rid="scirp.72840-ref41">41</xref>] [<xref ref-type="bibr" rid="scirp.72840-ref42">42</xref>] . The results of the present study suggest that the activation of the attachment system is associated with a desire for virtual emotional and sexual experiences, which satisfy anxious individuals’ need for love. These experiences in turn have negative repercussions on couple and sexual satisfaction. Through cyber infidelity, individuals seek out the reassurance that is lacking in their current relationship. Future research should examine if fulfilling their need for security through cyber infidelity emotionally satisfies anxious individuals.</p><p>Finally, the nature and strength of the relationships between personality, attachment, pornography use, cyber infidelity, and couple and sexual satisfaction varied between men and women. Depending on the gender, relationships involving personality or attachment would sometimes become less significant or disappear altogether. Similarly, depending on the gender, the trajectory of influence would sometimes pass through pornography use or skip this step entirely. In the latter case, cyber infidelity became the link between 1) attachment and personality, and 2) couple and sexual satisfaction. Pornography use was negatively related to sexual satisfaction for men, but positively for women. This difference must be emphasized. Other studies have also shown that women’s use of pornography may be beneficial to their sexual satisfaction [<xref ref-type="bibr" rid="scirp.72840-ref1">1</xref>] [<xref ref-type="bibr" rid="scirp.72840-ref11">11</xref>] . These results suggest that women satisfy their sexual desires and fantasies through pornography. Emmers-Sommer et al. [<xref ref-type="bibr" rid="scirp.72840-ref30">30</xref>] have shown that pornography use in women lowers sexual inhibitions, enriches sexual activity, and increases couple closeness. In men, pornography use is associated with higher sexual desire, stimulation, and gratification. However, these effects may lead to decreased sexual desire towards their partner and decreased sexual satisfaction within the couple. These gender differences may reveal distinct patterns of motivation for pornography use: while men seek to increase their sexual arousal for masturbation, women seek to improve the quality of their sexual relationship with their partner [<xref ref-type="bibr" rid="scirp.72840-ref11">11</xref>] . A thorough examination of the motivations underlying pornography use in men and women is necessary to test this hypothesis.</p></sec><sec id="s5"><title>5. Limitations</title><p>The present study has brought to light the potential role of different online behaviors, taking into account personal and relational variables. However, given the cross-sectional nature of the study, caution should be exercised when interpreting the results. Future studies might consider longitudinal designs using the actor-partner interdependence model (APIM; Kenny et al. [<xref ref-type="bibr" rid="scirp.72840-ref82">82</xref>] ) to better understand what motivates both partners’ pornography use. Concerning the causal direction among variables, future research should examine the contexts of pornography use and cyber infidelity, and clarify whether they constitute the cause or the consequence of couple and sexual dissatisfaction. Furthermore, our sample recruitment strategy might have limited the study. Other types of samples should be evaluated to generalize the models.</p><p>Another limitation was the conceptualization of pornography use and cyber infidelity variables. The definition of infidelity proved to be ambiguous. Some participants considered that pornography use was an act of infidelity, while others did not. Moreover, items presented low reliability. Future studies should better define emotional infidelity by including, for example, specific behavioral indicators (e.g., complimenting an individual with the goal of seducing them). Studies should also clarify the nature of the link between pornography use and cyber infidelity. Furthermore, a more exhaustive assessment of pornography users’ personality traits [<xref ref-type="bibr" rid="scirp.72840-ref76">76</xref>] might have refined our results. For example, high neuroticism is characterized by fear, lack of confidence, and anxiety, while low neuroticism indicates obliviousness to danger and recklessness. These extremes can be harmful for Internet users. A thorough assessment of personality traits (e.g., sex addiction, immediate gratification of personal needs, compulsivity, high sexual needs, stress management) could lead to a better understanding of the motivations behind pornography use, regardless of individuals’ frequency of use.</p></sec><sec id="s6"><title>6. Practical Implications</title><p>As the pornography industry continues to grow, clinicians report that an increasing number of individuals are seeking out help to deal with sexual and relational difficulties associated with pornography use [<xref ref-type="bibr" rid="scirp.72840-ref5">5</xref>] [<xref ref-type="bibr" rid="scirp.72840-ref50">50</xref>] [<xref ref-type="bibr" rid="scirp.72840-ref83">83</xref>] . In addition, relationship issues associated with cyber infidelity seem to be on the rise [<xref ref-type="bibr" rid="scirp.72840-ref53">53</xref>] . Couples need to be able to define infidelity before they can establish clear rules about Internet use [<xref ref-type="bibr" rid="scirp.72840-ref49">49</xref>] . Therapists need to consider the importance of the Internet in romantic relationships, and should be aware of the possible behaviors that might predict infidelity, such as pornography use [<xref ref-type="bibr" rid="scirp.72840-ref84">84</xref>] . Online behaviors should be assessed on a continuum, ranging from simple online entertainment, to online dating, to cyber addiction [<xref ref-type="bibr" rid="scirp.72840-ref53">53</xref>] . An adequate assessment tool, such as the one developed by Rosenberg and Krauss [<xref ref-type="bibr" rid="scirp.72840-ref25">25</xref>] , might help identify the various motivations behind individuals’ pornography use (to learn different sexual positions, to decrease anxiety, to cope with sexual difficulties, to relieve boredom, to have fun, etc.). By gaining a fuller understanding of why individuals use Internet pornography, cyber infidelity might be better understood. Increased efforts should be made to develop appropriate treatments for cyber sexual behaviors and thus avoid couple dissatisfaction.</p></sec><sec id="s7"><title>Cite this paper</title><p>Ferron, A., Lussier, Y., Sabourin, S. and Brassard, A. (2017) The Role of Internet Pornography Use and Cyber Infidelity in the Associations between Personality, Attachment, and Couple and Sexual Satisfaction. Social Networking, 6, 1-18. http://dx.doi.org/10.4236/sn.2017.61001</p></sec><sec id="s8"><title>NOTES</title></sec></body><back><ref-list><title>References</title><ref id="scirp.72840-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">Barnes, G.E., Malamuth, N.M. and Check, J.V. (1984) Personality and Sexuality. Personality and Individual Differences, 5, 159-172.</mixed-citation></ref><ref id="scirp.72840-ref2"><label>2</label><mixed-citation publication-type="other" xlink:type="simple">Kenny, D.A., Kashy, D.A. and Cook, W.L. (2006) Dyadic Data Analysis. Guilford Press, New York.</mixed-citation></ref><ref id="scirp.72840-ref3"><label>3</label><mixed-citation publication-type="book" xlink:type="simple">Schneider, J.P. 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