Equivalence of Population Variances: Synchronizing the Objective and Analysis

Researchers are often interested in establishing equivalence of population variances. Traditional difference-based procedures are appropriate to answer questions about differences in some statistic (e.g., variances, etc.). However, if a researcher is interested in evaluating the equivalence of population variances, it is more appropriate to use a procedure designed to determine equivalence. A simulation study was used to compare novel equivalence-based tests to traditional variance homogeneity tests under common data conditions. Results demonstrated that traditional difference-based tests assess equality of variances from the wrong perspective and that the proposed Levene-Wellek-Welch test for equivalence of group variances the best performing test for detecting equivalence. An R function is provided in order to facilitate use of this test for equivalence of population variances.     

Teaching Life Narratives in the Classroom: Strategies Based on Indigenous Traditions

The life narrative is an oral genre grounded in Indigenous tradition and teaching practice. In Canadian Indigenous communities, the expertise and content transmitted by life narratives are a part of their oral heritage. Drawing from their personal and professional experiences in Indigenous school environments, as well as the results from exploratory studies, the authors have developed an educational model for teaching life narratives in the classroom. This paper begins with an overview on the pedagogical use of life narratives for historical reconciliation, knowledge and expertise preservation, and ethical education. This enables the authors to propose a definition supported by the existing scientific literature. An analysis of the data collected from Innu, Algonquin, and Mohawk communities revealed the main strategies commonly used by their teachers and Elders. A pedagogical model dividing these strategies into planning, integration, and implementation phases for using life narratives is finally presented.     

Accuracy and Feasibility of Video Analysis for Assessing Hamstring Flexibility and Validity of the Sit-and-Reach Test

The accuracy of video analysis of the passive straight-leg raise test (PSLR) and the validity of the sit-and-reach test (SR) were tested in 60 men and women. Computer software measured static hip-joint flexion accurately. High within-session reliability of the PSLR was demonstrated (R > .97). Test-retest (separate days) reliability for SR was high in men (R = .97) and women R = .98) moderate for PSLR in men (R = .79) and women (R = .89). SR validity (PSLR as criterion) was higher in women (Day 1, r = .69; Day 2, r = .81) than men (Day 1, r = .64; Day 2, r = .66). In conclusion, video analysis is accurate and feasible for assessing static joint angles, PSLR and SR tests are very reliable methods for assessing flexibility, and the SR validity for hamstring flexibility was found to be moderate in women and low in men.     

Long-term impacts of two secondary school environmental studies programs on environmental behaviour: the shadows of patriarchy and neoliberalism

Abstract

A survey of alumni of two longstanding interdisciplinary secondary school environmental studies programs revealed that the vast majority of alumni reported being engaged in pro-environmental behaviours, which they attributed to participation in the programs five to twenty-three years prior. That finding in itself is worth sharing. Digging deeper, however, revealed that most reported behaviours were in the private rather than public sphere. Women alumni reported engaging in more household and marketplace-oriented behaviours. Further, a small number of men from the rural school expressed hostility towards environmental concerns using aggressively sexist and homophobic discourse. A feminist analysis takes into account structural forces such as patriarchy and neoliberalism to interpret the findings and illuminates gendered dimensions of pro- and anti-environmental behaviours.     

Evaluating metacognitive scaffolding in Guided Invention Activities

Invention and Productive Failure activities ask students to generate methods that capture the important properties of some given data (e.g., uncertainty) before being taught the expert solution. Invention and Productive Failure activities are a class of scientific inquiry activities in that students create, implement, and evaluate mathematical models based on data. Yet, lacking sufficient inquiry skills, students often do not actualize the full potential of these activities. We identified key invention strategies in which students often fail to engage: exploratory analysis, peer interaction, self-explanation, and evaluation. A classroom study with 134 students evaluated the effect of supporting these skills on the quality and outcomes of the invention process. Students in the Unguided Invention condition received conventional Invention Activities; students in the Guided Invention condition received complementary metacognitive scaffolding. Students were asked to invent methods for calculating uncertainties in best-fitting lines. Guided Invention students invented methods that included more conceptual features and ranked the given datasets more accurately, although the quality of their mathematical expressions was not improved. At the process level, Guided Invention students revised their methods more frequently and had more and better instances of unprompted self-explanations even on components of the activity that were not supported by the metacognitive scaffolding. Classroom observations are used to demonstrate the effect of the scaffolding on students’ learning behaviours. These results suggest that process guidance in the form of metacognitive scaffolding augments the inherent benefits of Invention Activities and can lead to gains at both domain and inquiry levels.     

Hierarchical Mentoring: A Transformative Strategy for Improving Diversity and Retention in Undergraduate STEM Disciplines

In the United States, less than half of the students who enter into science, technology, engineering, and mathematics (STEM) undergraduate curricula as freshmen will actually graduate with a STEM degree. There is even greater disparity in the national STEM graduation rates of students from underrepresented groups with approximately three-fourths of minority students leaving STEM disciplines at the undergraduate level. A host of programs have been designed and implemented to model best practices in retaining students in STEM disciplines. The Howard Hughes Medical Institute (HHMI) Professors Program at Louisiana State University, under leadership of HHMI Professor Isiah M. Warner, represents one of these programs and reports on a mentoring model that addresses the key factors that impact STEM student attrition at the undergraduate level. By integrating mentoring and strategic academic interventions into a structured research program, an innovative model has been developed to guide STEM undergraduate majors in adopting the metacognitive strategies that allow them to excel in their programs of study, as they learn to appreciate and understand science more completely. Comparisons of the persistence of participants and nonparticipants in STEM curricular, at the host university and with other national universities and colleges, show the impact of the model’s salient features on improving STEM retention through graduation for all students, particularly those from underrepresented groups.     

JOINT CONFIRMATORY FACTOR ANALYSIS OF THE WOODCOCK‐JOHNSON TESTS OF COGNITIVE ABILITIES,THIRD EDITION,AND THE STANFORD‐BINET INTELLIGENCE SCALES,FIFTH EDITION,WITH A PRESCHOOL POPULATION

This study examined the underlying constructs measured by the Woodcock‐Johnson Tests of Cognitive Abilities, Third Edition (WJ‐III COG) and the Stanford‐Binet Intelligence Scales, Fifth Edition (SB5), based on the Cattell‐Horn‐Carrol (CHC) theory of cognitive abilities. This study reports the results of the first joint confirmatory factor analysis of the WJ‐III COG and SB5 with an independently collected preschool‐aged sample. The WJ‐III COG and SB5 were administered to 200 preschool‐aged children of 4 to 5 with no known disorders or disabilities. Confirmatory factor analyses using maximum likelihood estimation were conducted to evaluate three models of increasing complexity and two alternative models to determine which model best describe the underlying constructs measured by the WJ‐III COG and the SB5. Though none of the models displayed a good fit to the data, results showed that the underlying construct of the two tests was best represented by a Three‐Stratum alternative CHC model in which the Gf factor and subtests were omitted. Exploratory factor analysis was conducted to provide further insights into the actual latent structure underlying the data. Implications of findings to guide school‐based practitioners in using cross‐battery assessment with preschool children were addressed.