Using a college human sexuality course to combat homophobia

The present study seeks to identify factors among university students that may be associated with homophobic attitudes and whether homophobia may be reduced by educational interventions, such as knowledge-based curricula found in college sexuality courses. Participants were 128 undergraduate students attending a small, private university in the northwestern region of the United States. At the beginning and end of the fall semester 2004, survey packets consisting of a demographic questionnaire, the Sexual Opinion Survey, the Homophobia Scale, a sexual knowledge survey, and the Bem Sex Role Inventory were administered to students attending a human sexuality class and a comparison group of students enrolled in professional and social science introductory courses. Relative to the comparison group, homophobia levels significantly decreased over the course of the semester among students attending the sexuality class. The effect of attending the class on reducing homophobia was partially mediated by an increase in self-reported knowledge about sexual matters. Taken together, these results suggest that the knowledge-based curriculum of sexuality courses may play an important role in affecting broader attitudes about sexuality among college students, including attitudes about homosexuality.     

Connecting to the Good Life through outdoor adventure leadership experiences designed for Indigenous youth

Indigenous voices are largely silent in the outdoor education and adventure therapy literature. The purpose of this research collaboration was to understand how a 10-day outdoor adventure leadership experience (OALE) may promote resilience and well-being for Indigenous youth through their participation in the program. The process was examined through a community-based participatory research project that sought insight from the perspectives of one First Nations community in Canada. The OALE was implemented with six different groups for a total of 43 youth participants (ages 11.9–18.7 years) from Wikwemikong Unceded Indian Reserve in northeastern Ontario. Field data were collected from multiple sources including participant interviews, journals, focus groups, and talking circles. Using a critical ethnographic lens, we analyzed the data inductively to understand how the OALE promoted resilience and well-being. We listened to Indigenous voices, adhered to principles of Indigenous coding for thematic content and respected Indigenous ways of knowing for interpreting results. The process of connecting to the Good Life (Anishinaabe Bimaadziwin) or waking up (nsidwaaswok) to the Good Life emerged as the dominant theme. Connecting to the Good Life may offer a simple yet compelling way to understand the net impact of the OALE.     

Ecological dynamics as a theoretical framework for development of sustainable behaviours towards the environment

This paper proposes how the theoretical framework of ecological dynamics can provide an influential model of the learner and the learning process to pre-empt effective behaviour changes. Here we argue that ecological dynamics supports a well-established model of the learner ideally suited to the environmental education context because of its emphasis on the learner–environment relationship. The model stems from perspectives on behaviour change in ecological psychology and dynamical systems theory. The salient points of the model are highlighted for educators interested in manipulating environmental constraints in the learning process, with the aim of designing effective learning programmes in environmental education. We conclude by providing generic principles of application which might define the learning process in environmental education programmes.     

Learning Processes in Chemistry: Drawing Upon Cognitive Resources to Learn About the Particulate Structure of Matter

This article explores 11- to 16-year-old students' explanations for phenomena commonly studied in school chemistry from an inclusive cognitive resources or knowledge-in-pieces perspective that considers that student utterances may reflect the activation of knowledge elements at a range of levels of explicitness. We report 5 themes in student explanations that we consider to derive from implicit knowledge elements activated in cognition. Student thinking in chemistry has commonly been examined from a misconceptions or alternative conceptions/frameworks perspective, in which the focus has been on the status of learners' explicit conceptions. This approach has been valuable, but it fails to explain the origins or nature of the full range of alternative ideas reported. In physics education, the cognitive resources perspective has led to work to characterize implicit knowledge elements—described as phenomenological primitives (p-prims)—that provide learners with an intuitive sense of mechanism. School chemistry offers a complementary knowledge domain because of its focus on the nature of materials and its domination by theoretical models that explain observable phenomena in terms of emergent properties of complex ensembles of “quanticles” (molecules, ions, electrons, atoms, etc.) The themes reported in this study suggest a need to recognize primitive knowledge elements beyond those reported from physics education and suggest that some previously characterized p-prims may be better considered to derive from more broadly applicable intuitive knowledge elements.     

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.     

Residual Structures in Latent Growth Curve Modeling

This article presents relevant research on Bayesian methods and their major applications to modeling in an effort to lay out differences between the frequentist and Bayesian paradigms and to look at the practical implications of these differences. Before research is reviewed, basic tenets and methods of the Bayesian approach to modeling are presented and contrasted with basic estimation results from a frequentist perspective. It is argued that Bayesian methods have become a viable alternative to traditional maximum likelihood-based estimation techniques and may be the only solution for more complex psychometric data structures. Hence, neither the applied nor the theoretical measurement community can afford to neglect the exciting new possibilities that have opened up on the psychometric horizon.     

Structural Equations and Causal Explanations: Some Challenges for Causal SEM

One common application of structural equation modeling (SEM) involves expressing and empirically investigating causal explanations. Nonetheless, several aspects of causal explanation that have an impact on behavioral science methodology remain poorly understood. It remains unclear whether applications of SEM should attempt to provide complete explanations or partial explanations. Moreover, it remains unclear what sorts of things researchers can best take as causes and effects. Finally, the meaning of causal assertions itself remains poorly understood. Attempting to clarify the use of structural equations as causal explanations by addressing these issues has implications for behavioral science methodology because applications of SEM typically remain vague about causation and thus about their substantive conclusions. Research aimed at clarifying these issues can lead to a sharper and more refined use of SEM for causal explanation, and by extension, clarify behavioral science methodology more generally.     

Lexical Quality and Reading Comprehension in Primary School Children

In a cross-sectional study, we examined the relationship between the quality of lexical representations and text comprehension skill in German primary school children (Grades 1–4). We measured the efficiency and accuracy of orthographical, phonological, and meaning representations by means of computerized tests. Text comprehension skill was assessed with a standardized reading test with questions requiring recognition of text information and inferencing. Both the accuracy of and the efficiency of access to the three types of lexical representations contributed to explaining interindividual variation in text comprehension skill. Results from a path-analytic model suggest a specific causal order of the three components of lexical quality with the quality of meaning representations partly mediating the effects of form representations.     

Summer School and Summer Learning: An Examination of the Short- and Longer Term Changes in Student Literacy

Research Findings: Multiple student cohorts were longitudinally tracked and student participation in a summer program bridging the 1st- and 2nd-grade academic years was recorded to examine selection and efficacy issues related to a summer school implementation in the Pacific Northwest. The estimation of regression discontinuity models uncovered evidence of a local average treatment effect. At the cutscore for program admission, participating students had estimated summer oral reading fluency gains approximately 0.40 SD larger than those of nonparticipants. Further examination of the literacy outcomes among the sample of cutscore eligible students revealed that struggling readers who participated in the summer program increased their level of reading fluency relative to struggling readers who declined an invitation to participate. However, the advantage gained by cutscore eligible participants was not sustained over the subsequent academic year. Practice or Policy: These results suggest that supplemental summer instruction delivered to at-risk students may promote literacy gains during the otherwise challenging summer months and thereby serve as a useful intermediary tool for K–12 stakeholders seeking to keep struggling readers on track toward proficiency.