REDUCING TRANSFER SHOCK THROUGH FACULTY COLLABORATION: A CASE STUDY

This study examined the teaching techniques used by community college faculty and the student learning outcomes that faculty sought to accomplish. Data were collected through a survey designed to assess the degree to which a variety of techniques were used and the related student learning outcomes that were intended. Participants (N = 197) were career and transfer faculty at a large metropolitan community college in the midwestern United States. Analysis of the data included determining the frequency of use of each technique and examining the relationships between frequency of use, intended learning outcomes and four independent variables (gender, years of experience, rank, and teaching area). Results indicated that the lecture was the predominant technique used, although a majority of the faculty also used other techniques. When faculty used techniques other than lecture a majority of the time, they did so to accomplish higher order learning outcomes. Significant relationships were found between frequency of use, intended learning outcomes, and teaching area. Faculty teaching in the transfer curriculum were more likely to lecture a majority of the time and to intend higher order learning outcomes than career faculty who lectured to impart information.     

Unconstrained Structural Equation Models of Latent Interactions: Contrasting Residual- and Mean-Centered Approaches

Little, Bovaird and Widaman (2006) proposed an unconstrained approach with residual centering for estimating latent interaction effects as an alternative to the mean-centered approach proposed by Marsh, Wen, and Hau (2004, 2006). Little et al. also differed from Marsh et al. in the number of indicators used to infer the latent interaction factor and how they were represented, but this issue is separate from the mean versus residual centering distinction that was their primary focus. However, their implementation of the Marsh et al. mean-centered approach failed to incorporate the mean structure that Marsh et al. argued was necessary to obtain unbiased estimates. One might suppose that their new approach would suffer this same problem, an issue not addressed by Little et al. However, we demonstrate here why the Little et al. approach obviates this requirement that heretofore was thought to be necessary for all constrained, partially constrained, and unconstrained approaches. Both the Marsh et al. and Little et al. unconstrained approaches typically result in similar results and are much easier to implement than traditional constrained approaches. They differ primarily in that the Little et al. approach is a 2-step approach involving a potentially large number of separate analyses prior to estimating the structural equation model that apparently does not require the estimation of a mean structure, whereas the Marsh et al. approach is a 1-step approach that includes a mean structure.     

General Growth Mixture Analysis of Adolescents' Developmental Trajectories of Anxiety: The Impact of Untested Invariance Assumptions on Substantive Interpretations

Substantively, this study investigates potential heterogeneity in the developmental trajectories of anxiety in adolescence. Methodologically, this study demonstrates the usefulness of general growth mixture analysis (GGMA) in addressing these issues and illustrates the impact of untested invariance assumptions on substantive interpretations. This study relied on data from the Montreal Adolescent Depression Development Project (MADDP), a 4-year follow-up of more than 1,000 adolescents who completed the Beck Anxiety Inventory each year. GGMA models relying on different invariance assumptions were empirically compared. Each of these models converged on a 5-class solution, but yielded different substantive results. The model with class-varying variance–covariance matrices was retained as providing a better fit to the data. These results showed that although elevated levels of anxiety might fluctuate over time, they clearly do not represent a transient phenomenon. This model was then validated in relation to multiple predictors (mostly related to school violence) and outcomes (grade-point average, school dropout, depression, loneliness, and drug-related problems).     

Disentangling Shape from Level Effects in Person-Centered Analyses: An Illustration Based on University Teachers’ Multidimensional Profiles of Effectiveness

This study compares alternative ways of disentangling the effects of level (the tendency for a person to be high, medium, or low across all factors) and shape (the tendency for a person to have a distinct pattern of factors on which they are high, medium, or low) in profile analyses. This issue is particularly relevant to performance appraisals where it is often useful to identify specific strengths and weaknesses over and above a person global performance, but also to person-centered analyses more generally where the observation of qualitative (shape) differences between profiles is often used as justification for the added value of profiles. Substantively, this study illustrates these issues in the identification of profiles of teachers based on multidimensional students’ ratings of their effectiveness, using an archival data set of 31,951 class-average ratings based on the Students’ Evaluations of Educational Quality (SEEQ) instrument collected over a 13-year period. The results show the superiority of a factor mixture operationalization of teaching effectiveness in which a global effectiveness factor was used to control for unnecessary level effects in the profiles.     

Cats,Comics, and Knausgård: Promoting Student Reading at a U.K. Academic Library with a Leisure Reading Collection

This case study describes the creation of a leisure reading collection in the Clifford Whitworth library at the University of Salford. It briefly surveys existing literature on leisure reading collections and looks at the growing interest among U.K. academic libraries in recreational reading. It considers the reasons for promoting reading as a leisure activity to students and describes the processes of selecting, purchasing, and marketing the collection at Salford. It also considers possible future developments for the collection and the evaluation of the library's attempts to encourage a culture of reading among Salford students. The positive response to the collection suggests the development of leisure reading is a worthwhile activity for academic libraries to focus on and the study contains useful information for others who are interested in creating a similar collection.     

Gender-Specific Linkages of Affective Social Competence With Peer Relations in Preschool Children

Research Findings: We examined whether affective social competence, or the ability to effectively send and receive emotional signals and to manage one's own emotional experience, contributes to preschool children's peer relations. Forty-two previously unacquainted preschoolers were observed while participating in a week-long playschool. Greater nonstereotypical emotion knowledge was related to girls' popularity and boys' likelihood of having a reciprocal friendship. Girls with greater skill at sending emotional communications and managing emotions were more likely to have a reciprocal friendship. Boys who were better at managing emotions compared to others in their group were less popular. The role of social context in the influence of affective social competence on children's peer relations is discussed. Practice or Policy: Results have implications for early childhood educators' promotion of children's socioemotional skills.     

The Big-fish–little-pond-effect Stands Up to Critical Scrutiny: Implications for Theory, Methodology, and Future Research

The big-fish–little-pond effect (BFLPE) predicts that equally able students have lower academic self-concepts (ASCs) when attending schools where the average ability levels of classmates is high, and higher ASCs when attending schools where the school-average ability is low. BFLPE findings are remarkably robust, generalizing over a wide variety of different individual student and contextual level characteristics, settings, countries, long-term follow-ups, and research designs. Because of the importance of ASC in predicting future achievement, coursework selection, and educational attainment, the results have important implications for the way in which schools are organized (e.g., tracking, ability grouping, academically selective schools, and gifted education programs). In response to Dai and Rinn (Educ. Psychol. Rev., 2008), we summarize the theoretical model underlying the BFLPE, minimal conditions for testing the BFLPE, support for its robust generalizability, its relation to social comparison theory, and recent research extending previous implications, demonstrating that the BFLPE stands up to scrutiny. Quotations (associated page numbers) to the Dai and Rinn (2008) article are based on a prepublication version of the article available to the authors of this article that may have changed during the final preparation for publication. The authors would also like to express thanks to David Dai and Anne Rinn for their encouragement and assistance to us in preparation of our article, whilst still acknowledging that they might not agree will all the views expressed here.     

Selecting Books for Children Birth Through Four: A Developmental Approach

The selection of books to read to young children matters enormously in the role books play for enriching children’s lives. This paper reviews the scientific evidence for the appropriate selection of books, and argues that care in selecting books targeted to children’s developing skills will enhance the power and the pleasures of reading to young children.