Alexander Ray Salmeron - 595 words(without articles titles)
Today I read two articles "Teens' social media use and collective action" by Hyunjin Soto, J. Brian Houston, Leigh Anne Taylor Knight, Emily J.Kennedy and Alexandra B. Inglish and "Race and Gender Differences in Self-efficacy: Assessing the Role of Gender Role Attitudes and Family Background" by Tom Buchanan and Nikesha Selmon. These articles regard the effects efficacy has on distinctive behaviors and the effects race or ethnicity has on self-efficacy, respectively.
In the article "Race and Gender Differences in Self-efficacy: Assessing the Role of Gender Role Attitudes and Family Background", Tom Buchanan and Nikesha Salmon conduct a study which attempts to identify a correlation between gender roles/attitudes and levels of self-efficacy. The researchers initiate the methods portion of the article by addressing the participants and viable variables. A total of 606 participants completed the survey and there was a 77% response rate. Multiple survey samples were observed due to several responses from the initial survey being dropped. This was a result of the initial feedback received. The final sample tallied up to 486 student which completed the survey. The majority of respondents were female, and more whites than black completed the survey. One of the main variables observed was the work status of the respondents' mothers. Global self-efficacy was measured through the GSE-Scale, which analyzes individuals views on their capacity to effort to complete complicated missions. A total of eight hypotheses were formed, each attempting to define the correlation between self-efficacy and race, gender, the role of a mother's work status in a family, and liberal gender roles. Contributing factor were measured and numerous tests were performed in order to identify differences between each of them. Chi-squared tests were performed in order to observe differences between gender and race. Findings revealed no distinctive relationship between sex-role liberalism and levels of self-efficacy in white males, however it was found with white females. Black females display the highest levels of self-efficacy compared to the other gender-ethnic groups. Nothing too significant was found for black males other than fathers playing a small role in their literalistic thinking. It was also discovered that the work status of a mother, single family or not, indeed plays a role in the respondents' self-efficacy levels. Race and gender roles too had a relationship with -self-efficacy levels.
In the article "Teens' social media use and collective action", a group of researchers attempt to to identify a relationship between teenagers' addiction to social media and their participation on social gatherings, a flash mob in particular. Vital variables in this study included social-self efficacy, collective-self esteem, and the urge to being in a social setting. These variables were used to forecast teen's addiction to social media. An online survey was created and was provided to 208 teens(ages 13-19) from Kansas City. Respondents under the legal age of 18 were given consent forms for parents to sign. Psychological variables such as self-esteem issues were taken into consideration during the study. Findings of the study show that 89.7% of respondents were high school students, 4.1% were K-12 graduates, and 6.2% were college students. With 68% being female, and 32% male. Blacks made up more than half of respondents with 53.3%, Hispanics 24.2%, and Caucasians 15.4%. A whopping 80% of respondents claimed to be heavily active on social media. The social media sites with highest amount of teenage traffic include Facebook, YouTube, and Twitter. Over half of total participants claimed to be familiar with flash mobs, yet only 38.3% would proudly participate in one. Final results show that social self-efficacy and collective self-esteem levels are not useful in predicting teens' addiction to social media. There was no relationship found between teens willingness to attend a flash mob and the total time they spend on social websites.
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