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51.
A primary argument for the widespread production of media violence is that audiences want to watch violent content. This assumption is examined in this meta-analytic review of existing research on both selective exposure to and enjoyment of violence. The results show that violence has a significant effect on both selective exposure and enjoyment, but in different directions. Specifically, violence increases selective exposure but decreases enjoyment of content. Potential explanations for these effects and moderators that could influence the results (e.g., sex, aggressive personality traits, type of content) are considered, and the practical implications of these findings are discussed.  相似文献   
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This content analysis of 15 Arabic and 3 Turkish drama serials on transnational Arab television examined the gender portrayals of characters. The analysis of 743 characters found that women were underrepresented, less likely to have recognizable jobs, and more likely than men to be portrayed in sex-typed occupations, activities, and settings. The analysis also revealed that programs with female writers were significantly less gender stereotypical. Moreover, differences were found among the producing Arab countries in terms of the portrayals of women; conservative countries had more sex-typed portrayals than the more liberal Arab countries, whereas Turkish programs had similar portrayals to Arabic programs produced in the liberal Arab states. The general findings are discussed in comparison to U.S. programming, and in relation to selective exposure, identification with characters, and potential effects on Arab viewers' gender role beliefs.  相似文献   
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A multilevel meta-analysis can combine the results of several single-subject experimental design studies. However, the estimated effects are biased if the effect sizes are standardized and the number of measurement occasions is small. In this study, the authors investigated 4 approaches to correct for this bias. First, the standardized effect sizes are adjusted using Hedges’ small sample bias correction. Next, the within-subject standard deviation is estimated by a 2-level model per study or by using a regression model with the subjects identified using dummy predictor variables. The effect sizes are corrected using an iterative raw data parametric bootstrap procedure. The results indicate that the first and last approach succeed in reducing the bias of the fixed effects estimates. Given the difference in complexity, we recommend the first approach.  相似文献   
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The use of fiction and autobiography in social science course work has been shown to enhance students' learning experience. Using the novel PUSH, by Sapphire, we designed a curriculum supplement for the social work course, human behavior and the social environment (HBSE) that encourages students to integrate course content in an innovative way and enables them to apply the material to life-like situations. The HBSE supplement allows students to explore poignant and problematic issues that push them past intrapersonal and interpersonal limits. Classes are infused with energy and the critical consciousness of the students. Final projects are a systematic case study of a chosen character (or characters) in the book and are a testament to student critical thinking and creativity. Methods, assignments, and student experiences in an introductory BSW course are described.  相似文献   
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The goal of the current study was to expand on previous work to validate the use of pressure insole technology in conjunction with linear regression models to predict the free torque at the shoe–surface interface that is generated while wearing different athletic shoes. Three distinctly different shoe designs were utilised. The stiffness of each shoe was determined with a material’s testing machine. Six participants wore each shoe that was fitted with an insole pressure measurement device and performed rotation trials on an embedded force plate. A pressure sensor mask was constructed from those sensors having a high linear correlation with free torque values. Linear regression models were developed to predict free torques from these pressure sensor data. The models were able to accurately predict their own free torque well (RMS error 3.72 ± 0.74 Nm), but not that of the other shoes (RMS error 10.43 ± 3.79 Nm). Models performing self-prediction were also able to measure differences in shoe stiffness. The results of the current study showed the need for participant–shoe specific linear regression models to insure high prediction accuracy of free torques from pressure sensor data during isolated internal and external rotations of the body with respect to a planted foot.  相似文献   
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