Building Relationships through a Digital Branch Library: Finding the Community in Community College Library Websites

This study evaluates whether or not community college libraries have in place the characteristics necessary to develop digital branch libraries to meet the expanding and changing needs of their publics. Using Hon and Grunig’s (1999) relationship building criteria as a framework, 98 community college library websites were analyzed to determine if they can be considered digital branch libraries (King, 2009). Digital branches go beyond offering mere functionality to embody relational aspects that are critical to the success of service-based organizations. That is, they provide at least the same level of services as their brick and mortar counterparts through real staff, real collection, real building, and real community. Findings indicate that while aspects of all of King’s criteria were present, representation was inconsistent and often weak; further, the emphasis was on functional features, suggesting a need for greater relationship building practices in order to engage with their publics. Collective results are discussed, and recommendations for improvement and areas of future research are offered.     

A Multilevel Factor Analysis of Third-Party Evaluations of Noncognitive Constructs Used in Admissions Decision Making

The assessment of noncognitive traits is challenging due to possible response biases, “subjectivity” and “faking.” Standardized third-party evaluations where an external evaluator rates an applicant on their strengths and weaknesses on various noncognitive traits are a promising alternative. However, accurate score-based inferences from third-party evaluations requires disentangling score variance due to raters versus applicants by utilizing a multilevel factor analysis (MFA). To date, MFA is highly underutilized in the measurement field. In this study, we apply the MFA to analyze third-party evaluations using data from the Personal Potential Index (PPI). The PPI is a third-party measure used to evaluate graduate school applicants noncognitive traits to help inform admissions decisions. We analyzed 12,693 ratings of 6,249 applicants divided into two randomly selected subgroups. We conducted multilevel exploratory factor analysis with one subgroup and tested the hypothesized structure with the other subgroup. This work illustrates the advantages and challenges of using MFA approach to support the meaningful and valid interpretation of scores from third-party evaluations.     

Approaches to studying and academic performance in short-essay exams

Previous research has generallyfailed to find a relation between the waystudents approach the task of studying andtheir exam grades. The present studyinvestigated why it is that a deep approach tostudying, which has been shown to result in ahigher quality of learning, does notconsistently result in higher exam grades. Theparticipants in the study were 49 third-yearpsychology students. They completedquestionnaires that assessed approaches tostudying, motivation, and intelligence. Theirfinal exam marks, along with indicators of thequality of their final exam responses and thequantity of information reproduced in the finalexam were used as indicators of academicperformance. The results showed that the deepstudy approach was linearly related to thequality of exam responses, but quadraticallyrelated to the quantity of informationreproduced. The use of the deep approach was nomore effective in facilitating high exam marksfor questions that emphasised understanding ofthe study material than for questions thatemphasised reproduction of it. Taken together,these findings suggest that students who usehigh levels of the deep approach fail toconsistently achieve higher exam grades becauseof deficiencies in the quantity of theirresponses, rather than because of theinsensitivity of exams to students'understanding of the study material.