Exploring the Usefulness of Kelly's Personal Construct Theory in Assessing Student Learning in Science Courses

We explore the utility of George Kelly's Personal Construct Theory, specifically his repertory grid technique, to the assessment of student learning in undergraduate science courses. We provide an in-depth review of the assumptions underlying Personal Construct Theory and how these were reflected in the repertory grid technique Kelly developed. We explain how an adapted version of the repertory grid, sharing some yet not all of Kelly's assumptions, was utilised as a research tool in a recent study involving science instructors and their students. We argue that as well as having applicability as an innovative research tool, an adapted version of Kelly's repertory grid is a useful heuristic for university teachers when used as a classroom assessment technique (CAT) and indicate several features it shares with the more widely-known conceptual mapping technique, which has been used in the study of science teaching and learning for many years. We conclude by highlighting several advantages the use of repertory grids has for both students and instructors.     

The mentoring dilemma: guidance and/or direction?

Abstract

How effective is your mentoring programme? How does the nature of a mentoring programme influence outcomes? By looking beneath the process and practice, an examination, analysis and classification of the nature of current real‐life mentoring practice is made and a template for the identification of your own project is presented.     

A Three-State Study of English Learner Progress

In this three-state study, the authors estimate the magnitudes of achievement gaps between English learner (EL) students and their non-EL peers, while avoiding typical caveats in cross-sectional studies. The authors further compare the observed achievement gaps across three distinct dimensions (content areas, grades, and states) and report patterns of EL–non-EL achievement gaps within and across states. The study findings suggest that linguistic barriers and long-term EL designation may contribute to the observed achievement gaps. The findings further suggest that the differences in the stringency of state reclassification criteria may influence the reported size of the EL and non-EL achievement gaps between states.     

A Multidimensional Assessment of Teachers’ Knowledge of Algebra for Teaching: Developing an Instrument and Supporting Valid Inferences

Numerous researchers have suggested that there are multiple mathematical knowledge and skill areas needed by teachers in order for them to be effective teachers of mathematics: knowledge of the mathematics that are the goals of instruction, advanced mathematics beyond the instructional material, and mathematical knowledge that is specific to what is needed to teach students. The research reported here is about the development of a test of teachers’ knowledge in these three areas related to the teaching of algebra. The test development process is described and the results of several analyses are reported that had the goal of checking whether valid inferences can be made about the hypothesized components of teacher knowledge.     

Binomial index of model fit: An elaboration

This article is an elaboration on the use of the binomial test of model fit value, which in this article will be referred to as the binomial index of model fit value, to gauge the degree that the data fit a path analytic or structural equation model. In addition, this article responds to the criticisms and comments made by Hsu (this issue), Drezner and Drezner (this issue), and Raykov and Penev (this issue) regarding the use of this approach to measuring the degree of model fit. We appreciate the comments provided by these authors. Their comments have assisted us in clarifying our reason for developing the binomial index of model fit procedure as well as our perception of its use.     

A Structural Equation Model at the Individual and Group Level for Assessing Faking-Related Change

This article proposes a comprehensive approach based on structural equation modeling for assessing the amount of trait-level change derived from faking-motivating situations. The model is intended for a mixed 2-wave 2-group design, and assesses change at both the group and the individual level. Theoretically the model adopts an integrative approach that relates the 2 main current conceptualizations of faking, and models the amount of trait change as an individual-differences variable. The model and procedures are used in an empirical study based on 512 participants. Some of the results are interesting and warrant further research. Overall, the methodology that is proposed provides new resources for the theoretical and applied assessment of faking. In particular, it provides the practitioner with new tools for clearly assessing faking at the individual level.     

Impact of a Statewide Collaborative on Strengthening Families Through Early Care and Education

Research Findings: Research suggests that early care and education programs are most effective when they include strong components of family involvement. The Center for the Study of Social Policy recommended that early care and education programs build family-centered practices to strengthen families and reduce the incidence of child abuse and neglect. This article summarizes a statewide effort to implement this strategy, called Strengthening Families through Early Care and Education. We analyzed program self-assessments submitted by 186 early care and education programs. Analyses revealed that Head Start programs had better support systems in place for families than did “mainstream” (non–Head Start, non-accredited) early care and education programs. Results also showed that a small amount of state and local funding provided enough incentive for programs to improve their family-strengthening practices. Commitment and collaboration at the state level led to a sustainable impact by infusing “strengthening families” concepts into the early care and education field statewide.