Regularized Structural Equation Modeling

A new method is proposed that extends the use of regularization in both lasso and ridge regression to structural equation models. The method is termed regularized structural equation modeling (RegSEM). RegSEM penalizes specific parameters in structural equation models, with the goal of creating easier to understand and simpler models. Although regularization has gained wide adoption in regression, very little has transferred to models with latent variables. By adding penalties to specific parameters in a structural equation model, researchers have a high level of flexibility in reducing model complexity, overcoming poor fitting models, and the creation of models that are more likely to generalize to new samples. The proposed method was evaluated through a simulation study, two illustrative examples involving a measurement model, and one empirical example involving the structural part of the model to demonstrate RegSEM’s utility.     

Auditory Context and Memory Retrieval in Young Infants

Three-month-old infants were trained to move an overhead crib mobile while 1 of 2 musical selections was played. Retention was assessed 1 or 7 days later in the presence of either the same music or a different musical selection. in Experiment 1, the musical selections were very different (classical versus jazz); in Experiment 2, they were much more similar (two classical pieces). Infants in both experiments displayed 1 day retention regardless of wich music was played during the retention test. At 7 days, retention was seen only when the music played during the retention test matched the training music. These data are consistent with similar findings showing that 3-month-old infants'memory is disrupted at long retention intervals when the context present during retention testing does not match the learning context. As the infant's memory wanes, context appears to function as a necessary cue for the retrieval of acquired expectancies.     

Navigating Windows Into Past Human Minds: A Framework of Shifting Selves in Historical Perspective Taking

This article presents a framework for understanding historical perspective taking (HPT), the effort to use historical material to explore the internal states of past people. It addresses gaps in HPT research by (a) linking HPT to theories and research from the social science disciplines on perspective taking and the self and (b) proposing a way to analyze how different tasks may elicit different kinds of HPT. The framework is grounded in a study in which 4 young adults thought aloud while taking the perspective of a victim or a perpetrator at the Salem Witch Trials and in a Holocaust-era massacre. Four shifting self perspectives were identified, whereby participants thought as their present-day selves, constructed hypothetical and imagined past selves, and made timeless generalizations about humans. To demonstrate the utility of the framework, I then use it to consider how task characteristics may elicit differential use of the self perspectives. It is argued that close attention to these self perspectives is a novel and crucial way to bring nuance to the concept of HPT, and implications for multiple learning environments are discussed.     

Social Justice,Sport and Racism: A Position Statement

ABSTRACT

Despite common claims that society is “post-racial” and that sport is apolitical, issues of racial injustice continue to permeate sport and recreational institutions. Drawing insight from critical race theory, we articulate a vision of social justice oriented toward illuminating and addressing issues of racial injustice in sport and recreation. In particular, we highlight pressing matters of racial injustice in sport at the elite, competitive levels, as well as community and recreational settings. We also discuss contemporary examples and strategies for resisting racial injustice, noting the challenges and difficulties associated with various approaches. In doing so, we hope to provide direction for scholars and activists in fighting for social justice with respect to racism and racial inequality in sport.     

MEASURING SCHOOL PSYCHOLOGY TRAINEE SELF‐EFFICACY

There is an ever‐increasing need for school psychology training programs to demonstrate their ability to produce competent practitioners. One method of addressing this need is through the assessment of self‐efficacy. However, little research on self‐efficacy in school psychology exists likely due to the lack of a psychometrically sound measure of this construct. To address this gap, we examined the construct validity of the Huber Inventory of Self‐Efficacy for School Psychologists Research Version (HIS‐SP‐RV), a preexisting measure of self‐efficacy, with a sample of 520 school psychology graduate students. Results suggest that the HIS‐SP‐RV is not a valid measure of trainee self‐efficacy. We then created and conducted a psychometric evaluation of a shortened measure, the Huber Inventory of Trainee Self‐Efficacy (HITS). Results supported the validity of a five‐factor model. Implications for the use of the HITS for program evaluation, to improve trainee competence, and for future research are discussed.     

Thin film electro-osmotic pumps for biomicrofluidic applications

Electro-osmotic flow (EOF) pumps are attractive for fluid manipulation in microfluidic channels. Open channel EOF pumps can produce high pressures and flow rates, and are relatively easy to fabricate on-chip or integrate with other microfluidic or electrical components. An EOF pump design that is conducive to on-chip fabrication consists of multiple small channel arms feeding into a larger flow channel. We have fabricated this type of pump design using a thin film deposition process that avoids wafer bonding. We have evaluated pumps fabricated on both silicon and glass substrates. Consistent flow rate versus electric field were obtained. For the range of 40–400 V, flow rates of 0.19–2.30 μL∕min were measured. Theoretical calculations of pump efficiency were made, as well as calculations of the mechanical power generated by various pump shapes, to investigate design parameters that should improve future pumps.     

Does Maximizing Information at the Cut Score Always Maximize Classification Accuracy and Consistency?

A common suggestion made in the psychometric literature for fixed‐length classification tests is that one should design tests so that they have maximum information at the cut score. Designing tests in this way is believed to maximize the classification accuracy and consistency of the assessment. This article uses simulated examples to illustrate that one can obtain higher classification accuracy and consistency by designing tests that have maximum test information at locations other than at the cut score. We show that the location where one should maximize the test information is dependent on the length of the test, the mean of the ability distribution in comparison to the cut score, and, to a lesser degree, whether or not one wants to optimize classification accuracy or consistency. Analyses also suggested that the differences in classification performance between designing tests optimally versus maximizing information at the cut score tended to be greatest when tests were short and the mean of ability distribution was further away from the cut score. Larger differences were also found in the simulated examples that used the 3PL model compared to the examples that used the Rasch model.     

A Framework for Measuring the Amount of Adaptation of Rasch‐based Computerized Adaptive Tests

A key consideration when giving any computerized adaptive test (CAT) is how much adaptation is present when the test is used in practice. This study introduces a new framework to measure the amount of adaptation of Rasch‐based CATs based on looking at the differences between the selected item locations (Rasch item difficulty parameters) of the administered items and target item locations determined from provisional ability estimates at the start of each item. Several new indices based on this framework are introduced and compared to previously suggested measures of adaptation using simulated and real test data. Results from the simulation indicate that some previously suggested indices are not as sensitive to changes in item pool size and the use of constraints as the new indices and may not work as well under different item selection rules. The simulation study and real data example also illustrate the utility of using the new indices to measure adaptation at both a group and individual level. Discussion is provided on how one may use several of the indices to measure adaptation of Rasch‐based CATs in practice.     

Mandatory voice: Implementation of a district‐led student‐voice program in urban high schools

This qualitative case study explores how urban high schools implement a district‐initiated student‐voice program, referred to as Student Advisory Committees, intended to improve school climate. The study uses an implementation science framework to analyze interview data from principals and advisors in 22 urban high schools. An iterative, top–down thematic analytic procedure was used for analysis and interpretation of the data. The results suggest wide variation in how the program was implemented in terms of fidelity, dosage, quality, program reach, and adaptation, with contextual school factors—namely, principal and school characteristics—that help to explain this variation. In addition, the findings indicate that these contextual factors had a significant influence on how the school district implemented the student advisory committees. The authors discuss the implications for program implementation in the context of urban school districts and for school psychologists.