Social and Behavioral Sciences Commons^™

Disclosing Personal Information On Social Networking Sites And Social Support, An Mai

Creative Activity and Research Day - CARD

With the Internet growing faster than ever, online social networking sites (SNS) such as Facebook are becoming more popular. At last count, there were over 845 million active Facebook users who are interacting online. The continued influx of computer technology allows for newer means of communication in order to foster interpersonal relationships and promote self-disclosure (Ledbetter, Mazer, Degroot et al., 2011); they are necessary in order for online interactions to occur and friendships to be maintained. These modern tools, however, can also be a factor in hindering interpersonal relationships. The current study aimed to understand how the frequency of making …

Condom Use As It Relates To Perception And Self-Efficacy, Taryn Larribas

Creative Activity and Research Day - CARD

There is little research that has examined barriers on the part of an individual’s condom use self-efficacy. Furthermore, there is a lack of investigation into whether an individual’s perceptions of their partner’s attitudes have an impact on condom use and whether factors such as an individual’s level of condom use self-efficacy influences a person’s condom acquisition techniques. It is hypothesized that condom use will be positively correlated with higher levels of condom use self-efficacy (CUSE) and positive perceptions of others’ attitudes.

Participants were 104 undergraduates at USF. Hypotheses were tested using the responses to the 28- item Condom Use Self-Efficacy …

Termination Of Long-Term Mental Health Treatment With Foster Youth, Kimberlin Borca, Keala Pacheco

Creative Activity and Research Day - CARD

Our previous work has demonstrated the effectiveness of long-term relationship-basedpsychotherapy for children in foster care. The current study examines circumstances inthe last year and at termination of treatment. Patients were seen on a weekly (65.5%) orbiweekly (18.2%) basis. Reasons for termination included patient relocation (14.5%),unexpected patient dropout (12.7%), treatment plateau/goals reached (10.9%), patientresistance to treatment (10.9%), lack of support from family or social services (9.1%),caretaker termination of treatment (7.3%), and transportation issues/scheduling problems(3.6%). Limitations of the study include a small sample size, potential bias from therapistinformants, and lack of a comparison group.

Termination Of Long-Term Mental Health Treatment With Foster Youth, Kimberlin Borca, Keala Pacheco

Creative Activity and Research Day - CARD

Our previous work has demonstrated the effectiveness of long-term relationship-basedpsychotherapy for children in foster care. The current study examines circumstances inthe last year and at termination of treatment. Patients were seen on a weekly (65.5%) orbiweekly (18.2%) basis. Reasons for termination included patient relocation (14.5%),unexpected patient dropout (12.7%), treatment plateau/goals reached (10.9%), patientresistance to treatment (10.9%), lack of support from family or social services (9.1%),caretaker termination of treatment (7.3%), and transportation issues/scheduling problems(3.6%). Limitations of the study include a small sample size, potential bias from therapistinformants, and lack of a comparison group.

How Base Rate Statistics And Counterfactuals Influence Causal Models And Recommendations For Traffic Safety, Jennifer Milazzo, Edward Munnich, Jade Stannard, Katheryn Conde

Creative Activity and Research Day - CARD

How does considering alternative possibilities affect models of what causes changes in statistics? We manipulated two independent variables—prior estimation (whether participants estimated the most recent statistic prior to receiving the correct statistic), and counterfactual thinking (whether participants provided explanations for changes in the statistic in the opposite direction). We measured the following effects: 1) surprise about the correct statistic, 2) changes in participants’ causal models, 3) actions participants recommended to improve the statistic in coming years, and 4) estimates of how much the statistic could improve if proposed actions were implemented.