Marketing planning for colleges and universities

History proves that institutions of higher education have been notoriously slow in adapting to changes in their environments, especially in their student-markets' needs. It is time for them to employ the techniques of strategic marketing planning used by the business sector. With adjustments made for their nonprofit nature and without comprising their cultural responsibilities, institutions of higher education could clearly better serve their students, benefactors, and communities by developing an ongoing system of environmental analysis and by acting on the insight they gain. This article demonstrates how institutions of higher education can implement strategic marketing planning. Frequent references are made to actual situations.     

It’s more than just luck: A qualitative exploration of breastfeeding in rural Australia

It’s more than just luck: A qualitative exploration of breastfeeding in rural Australia

A Latent Class Analysis of Factors Associated with Levels of Aggression among Low-Income African American Youth in Chicago

Abstract

African American youth are often stereotyped as being more aggressive than and experience more severe negative social sanctions relative to their European American peers. This cross-sectional study assessed self-reported levels of aggression among a sample of 538 low-income African American youth in Chicago, and employed latent class analysis to determine groups of aggression. Major study findings showed low, middle high aggression group. The largest number of youth fell within the low aggression group. Social factors (e.g., low student-teacher connectedness, high risky peer norms, neighborhood violence, and family conflict) were associated with inclusion in the high aggression group. Intrapersonal factors (e.g., depression, anxiety, post-traumatic stress disorder) were associated with inclusion in the middle aggression group. Future longitudinal research should examine what factors are associated with movement across aggression groups and capitalize upon knowledge gained in the current study to develop interventions.     

What does self-esteem have to do with behavioral health among low-income youth in Chicago?

Many studies have examined risk factors associated with poorer behavioral health among low-income African American youth, such as low school engagement, delinquency, mental health problems, drug use, and risky sex. However, fewer studies have examined protective factors for such behavioral health risk behaviors. This study sought to address this gap by examining whether high levels of self-esteem were associated with better behavioral health factors for this population. A survey was administered to a sample of 638 low-income African American adolescents in Chicago to examine the degree to which high self-esteem was associated with less delinquency, substance use, and sexual risk behaviors, and more school engagement, and whether such associations varied by gender. Stepwise linear and logistic regression models were estimated to assess the influence of self-esteem. Higher self-esteem for this sample of low-income African American adolescents was associated with lower rates of delinquency, drug use, and risky sexual behaviors and increased rates of school engagement. Gender moderated only a few of these relationships. These findings suggest that programs that promote high self–esteem alone or in combination with other resilience factors may promote better behavioral health factors for African American adolescents.     

A baseline summary of framing research in public relations from 1990 to 2009

The present study examines the conceptualization of a frame, theoretical origins, analytical foci, and methods in framing research in public relations from 1990 to 2009. The most dominant type of a frame is construction of reality in communication found in 95% of 40 studies. Researchers compare public relations messages with news coverage, and also analyze public relations messages. Qualitative content analysis is more popular than quantitative content analysis or experiment.