Assessing library topics using sentiment analysis in R: a discussion and code sample

Abstract

This article discusses the use of R programing language for executing a sentiment analysis of tweets pertaining to library topics. This discussion is situated within the literature of marketing and management sciences, which is employing methods of machine learning and business intelligence to make informed decision-making, and library administration, which has expressed great interest in social media engagement within its literature but has yet to adopt these types of analysis. Presented in this article is a sample code with instructions on how users may execute it within R to retrieve and analyze tweets relevant to library services. Two examples created using the code (analysis of top librarians’ tweets and analysis of posts about major book publishers) are used to demonstrate the functionality of the code. The code presented in this article may be used by libraries to analyze tweets about their library and library-related topics, which, in turn, may inform management and marketing design.     

Effects of Multimedia versus Live Professional Development on Teachers’ and Students’ Performance Related to the Question Exploration Routine

In each of two studies, teachers were randomly assigned to either a Virtual Workshop (VW) group that used a computerized professional development program or an Actual Workshop (AW) group that participated in face-to-face professional development, including discussion, feedback, and collaboration. In both studies, teachers’ posttest scores related to their knowledge of the Question Exploration Routine and their plans for using it were significantly higher than their pretest scores. In Study 2, both groups’ posttest scores with regard to implementation and planning of the routine were significantly greater than their pretest scores. There were no significant differences between the groups at posttesting on any measure. The posttest knowledge scores of the whole groups of students and the subgroups of students with LD being taught by both groups of teachers were significantly higher than their pretest scores. All teachers indicated that they were satisfied with the training and the routine. VW teachers in both studies indicated that they were satisfied with the software program.     

Libraries and Spatial Literacy: Toward Next-Generation Education

The role of the library is to assist citizens in skills development critical to national interest and empowerment as literacy ambassadors, in general. Specifically, the work by the Federal Geographic Data Committee (1994) indicates that spatial literacy is for every citizen and not just a set of workforce specialists. Hence, the use of maps in decision making and problem solving will become fundamental to all professions, including library professionals. Thus, a spatial literacy awareness and rationale for such as standard job ability is discussed as a future librarian workforce proficiency and knowledge transfer medium.     

THE CONTRIBUTION OF SCHOOL COUNSELORS’ SELF‐EFFICACY TO THEIR PROGRAMMATIC SERVICE DELIVERY

Self‐efficacy pertains to individuals’ belief about their capability to accomplish a task; consequently, school counselors’ positive self‐efficacy is a theoretically based prerequisite for their facilitation of school‐based interventions. In addition, school counselor‐led interventions and comprehensive, developmenta l guidance programs benefit students’ personal social, academic, and career development. Therefore, this investigation examined the contribution of practicing school counselors’ (N = 693) self‐efficacy in relation to the frequency of their programmatic service delivery. The findings indicate that participants’ self‐efficacy scores contributed to the frequency of their programmatic service delivery (48% of the variance explained). Implications for school counselors, supervisors, and educational researchers are discussed.     

A SYSTEMATIC FRAMEWORK FOR ADDRESSING TREATMENT INTEGRITY IN SCHOOL SETTINGS

School psychologists are tasked with ensuring treatment integrity because the level of intervention implementation affects decisions about student progress. Treatment integrity includes multiple dimensions that may impact the effectiveness of an intervention including adherence, dosage, quality, and engagement. Unfortunately, treatment integrity is not routinely monitored in consultation. A systematic framework is needed to better prepare practitioners to assess, analyze, and intervene when there are treatment integrity failures. A framework for monitoring and improving multiple dimensions of treatment integrity in natural settings is proposed to provide guidance to practitioners through two phases. The first phase focuses on improving initial treatment integrity and the second phase outlines a problem‐solving process for improving treatment integrity.     

Orthographic-Phonological Mapping and the Emergence of Visual Expertise for Print: A Developmental Event-Related Potential Study

The N1 effect is an electrophysiological marker of visual specialization for print. The phonological mapping hypothesis (Maurer & McCandliss, 2007) posits that the left-lateralized effect reflects grapheme-phoneme integration. In this event-related potential study, first (age = 7.06 years, N = 32) and third-grade readers (age = 9.29 years, N = 28) were presented with pairs of pseudowords and Armenian character strings in a novel implicit same-different paradigm. To test the phonological mapping hypothesis, stimuli were presented in visual-only and audiovisual conditions. The results demonstrated that tuning for print already emerges in first grade. Moreover, the parallel presentation of auditory stimuli enhanced the N1 effect suggesting a role of orthographic-phonological mapping in the development of specialization for print.     

Key somatic variables associated with,and differences between the 4 swimming strokes

ABSTRACT

This study identified key somatic and demographic characteristics that benefit all swimmers and, at the same time, identified further characteristics that benefit only specific swimming strokes. Three hundred sixty-three competitive-level swimmers (male [n = 202]; female [n = 161]) participated in the study. We adopted a multiplicative, allometric regression model to identify the key characteristics associated with 100 m swimming speeds (controlling for age). The model was refined using backward elimination. Characteristics that benefited some but not all strokes were identified by introducing stroke-by-predictor variable interactions. The regression analysis revealed 7 “common” characteristics that benefited all swimmers suggesting that all swimmers benefit from having less body fat, broad shoulders and hips, a greater arm span (but shorter lower arms) and greater forearm girths with smaller relaxed arm girths. The 4 stroke-specific characteristics reveal that backstroke swimmers benefit from longer backs, a finding that can be likened to boats with longer hulls also travel faster through the water. Other stroke-by-predictor variable interactions (taken together) identified that butterfly swimmers are characterized by greater muscularity in the lower legs. These results highlight the importance of considering somatic and demographic characteristics of young swimmers for talent identification purposes (i.e., to ensure that swimmers realize their most appropriate strokes).