PolarityRank: Finding an equilibrium between followers and contraries in a network

In this paper we present the relevance ranking algorithm named PolarityRank. This algorithm is inspired in PageRank, the webpage relevance calculus method used by Google, and generalizes it to deal with graphs having not only positive but also negative weighted arcs. Besides the definition of our algorithm, this paper includes the algebraic justification, the convergence demonstration and an empirical study in which PolarityRank is applied to two unrelated tasks where a graph with positive and negative weights can be built: the calculation of word semantic orientation and instance selection from a learning dataset.     

Cultural Orientation Trajectories and Substance Use: Findings From a Longitudinal Study of Mexican‐Origin Youth

Cultural adaptation may influence Latino youth substance use (SU) development, yet few longitudinal studies have examined cultural change over time and adolescent SU outcomes. Using longitudinal data collected annually across ages 10–16 from 674 Mexican‐origin youth (50% female), the authors characterized cultural adaptation patterns for language use (English and Spanish use), values (American values and familism values), and identity (ethnic pride), and examined whether these cultural adaptation patterns were associated with differential SU risk. Youth with increasing bilingualism and high/stable family values had lower SU risk compared to youth who primarily spoke English and endorsed decreasing family values, respectively. Ethnic pride trajectories were not associated with SU. Findings highlight the importance of considering cultural change related to Latino youth SU.     

Intentional integration of diversity ideals in academic libraries: A literature review

Diversity is a cornerstone of the library profession and the Association of College and Research Libraries (ACRL) has recently announced a renewed emphasis on diversity and inclusion. In response to this initiative, this paper will review the current academic literature relating to diversity initiatives in academic libraries. Specifically, it will discuss diversity as it pertains to staffing, culture, collections, services and programming. These five areas are good starting points for libraries to reflect on the current state of diversity at their institutions and plan for meaningful change.     

Critical Community-Engaged Scholarship: Communities and Universities Striving for Racial Justice

The goal of this article is to clarify how current dominant understandings of community-engaged scholarship (CES) can be strengthened to incorporate lessons from critical theory and to focus on justice more explicitly. A prior analysis of how CES is defined across multiple disciplinary literatures revealed that scholars define CES as partnerships between universities and communities that collaboratively develop and apply knowledge to address public issues. Six components of CES were frequently recommended for practice within this scholarship as well. However, neither the goal of CES—to support the “public good”—nor the six recommended CES components consistently included an explicit focus on justice and critical theory. By explicitly naming and defining the goal of justice—as opposed to the “public good” —I aim to highlight the importance of conducting routine analyses in CES of whose interests motivate conceptions of the public good and how dominant cultural structures, values, and traditions negatively impact minoritized community members' lives. Thus, this article employs teachings from critical theory—such as race-conscious analyses, asset-based understandings of community, and privileging subaltern experiences—to envision how critical CES could support university and community partnerships in producing knowledge that more effectively dismantles systemic sources of racial and social injustice.     

Building the mentoring relationship: humanism and the importance of storytelling between mentor and mentee

ABSTRACT

In this paper, we describe a mentoring program designed to help prepare high school seniors at Arizona State University Preparatory Academy for postsecondary education. Specifically, we address the usefulness of ‘humanistic mentoring,’ a form of mentoring that stresses the importance of reciprocity, mutuality, and empathy in the mentor/mentee relationship. We further describe how sharing stories was useful in developing such humanistic relationships. Based on etic-thematic coding of interviews from 13 of the mentees, a humanistic lens for mentoring and sharing personal stories is productive for both developing relationships and passing on knowledge.     

Influence of family and socio‐demographic variables on students with low academic achievement

In this study we compare the distribution of parental educational styles and the scores reported both by parents and students for various family characteristics (acceptance, control, involvement, and expectations) and socio‐demographic factors (socio‐economic status, family structure, number of children, and order of birth of the children) in a group of adolescents with normal achievement (n?=?105) and in a group which present low achievement (n?=?205). Likewise, we examine which variables best predict academic achievement in the two groups and of adolescents. The results indicate differences in the distribution of parental styles in the two groups for the majority of the variables analysed. We also observed a differential pattern in the prediction of academic success. In the group of adolescents with normal academic achievement, socio‐demographic variables better predict achievement; for students with low achievement, family variables play a more important role in predicting achievement.     

Detecting and assessing statistical interactions with multiple regression

This paper focuses on the treatment of statistical interactions (i.e., non‐additivity) within the framework of multiple regression. The nature of statistical interactions in relation to other types of effects and the implications of interactions for analysis and interpretation are discussed. We argue that researchers using regression analyses (1) often either fail to test for interactions (2) or use inadequate methods for testing for interactions (3) and, consequently may make faulty conclusions about their data. We outline several methods of dealing with interactions with regression and discuss the strengths and weaknesses of each. Recommendations are made for the detection and treatment of interactions within regression.     

Identification of Effective Strategies to Promote Language in Deaf Children With Cochlear Implants

Parental involvement and communication are essential for language development in young children. However, hearing parents of deaf children face challenges in providing language input to their children. This study utilized the largest national sample of deaf children receiving cochlear implants, with the aim of identifying effective facilitative language techniques. Ninety‐three deaf children (≤ 2 years) were assessed at 6 implant centers prior to and for 3 years following implantation. All parent–child interactions were videotaped, transcribed, and coded at each assessment. Analyses using bivariate latent difference score modeling indicated that higher versus lower level strategies predicted growth in expressive language and word types predicted growth in receptive language over time. These effective, higher level strategies could be used in early intervention programs.     

Bayesian student modeling and the problem of parameter specification

In this paper, the application of Bayesian networks to student modeling is discussed. A review of related work is made, and then the structural model is defined. Two of the most commonly cited reasons for not using Bayesian networks in student modeling are the computational complexity of the algorithms and the difficulty of the knowledge acquisition process . We propose an approach to simplify knowledge acquisition. Our approach applies causal independence to factor the conditional probabilities and decrease the parameters required for each question to a number linear in the number of concepts. This also provides the new parameters with an intuitive meaning that makes their specification easier. Finally, we present an example to illustrate the use of our approach.