Individuals in pursuit of, or currently in, a romantic relationship typically communicate via technology, extending to sexting with one another. Sexting is commonly understood as the sending and receiving of sexually suggestive or sexually explicit photos, video, or text via cell phone or other technologies. The characteristics that fuel whether one engages in sexting are not well understood. In this study, 459 unmarried, heterosexual undergraduate students (female = 328; male = 131), aged 18 to 25 years, from three universities completed an online questionnaire about their behaviors with technology and romantic relationships. In general, low attachment avoidance and high fear of negative evaluation from the dating partner predicted sending a sexually suggestive photo or video, sending a photo or video in one's underwear or lingerie, and sending a sexually suggestive text. High fear of negative evaluation predicted sending a nude photo or video as well as sending a text message propositioning sex. Low attachment avoidance, greater fear of negative evaluation, and greater social distress when dating were associated with sexting behaviors.
The present study examined the reliability and validity of the Turkish version of the Dyadic Almost Perfect Scale (DAPS). The Turkish version of DAPS and Multidimensional Perfectionism Scale (MPS) was administered to 263 (157 female and 104 male) Turkish university students and 2 participants didn’t specify their gender. Internal reliability was calculated and Cronbach’s α coefficients ranged between .87 and .90. Criterion validity (Pearson correlation) between the DAPS and the MPS ranged from .27 to .50. Additionally, a confirmatory factor analysis result revealed good model fit indices for the three-factor model of the DAPS. The findings suggested that the Turkish version of DAPS can be reliably used to measure participants’ expectations for their partners or significant others among a Turkish sample.
Modern communication technologies (such as e-mailing, texting and messaging via social networks) have become increasingly used today while establishing, maintaining and dissolving romantic relationships. This issue, which is being long studied in the United States, has been recently addressed in developing countries as well. This research has two aims: a) to ascertain the prevalence of the use of technological communication channels such as messaging, e-mail and social networks in the relationship dissolution; b) to examine anxious attachment, avoidant attachment and gender roles in the process of the relationship dissolution through which technology was used. A total of 215 (167 female, 48 male) Turkish university students completed an online questionnaire about technology-mediated breakups, attachment style, and gender role attitudes. According to the correlation and regression analyses, 40% of the students (87 students) stated that they experienced a relationship dissolution via internet. Based on the findings, it may be concluded that there is a significant link only between the use of internet technology with avoidant attachment style and the acceptance of technology use to dissolve the relationship.
The present study was aimed at showing that by conjointly using two techniques that are rarely used in combination – regression analysis and functional measurement, it may be possible to rigorously tests models of combination of factors using data obtained in traditional multi-item/multi-scale surveys. The data used for this demonstration were taken from a large survey (N = 3,235) of Turkish students’ attitude to women (ATW). As it included 12 types of predictors (e.g., age, geographic location, score on collectivism scales), stepwise regression analysis was firstly used to select a subset of predictors. Three of them explained the major part of variance: biological gender (sex), level of political conservatism in the area (the place factor), and personal score on the vertical individualism scale (the culture factor). Secondly, continuous conservatism and collectivism scores were categorized into three levels and three factorial plots were created -- one for each level of support for conservatism -- with ATW on the y-axis, vertical collectivism on the x-axis, and biological sex on curves. Divergence of curves observed in all panels supported a multiplicative-type model of combination of the gender and culture factors. As a result, the model of combination of factors suggested was: Negative Attitude to Women = (Gender x Culture) + Place.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.