Genetic Counseling Practice Analysis

The American Board of Genetic Counseling (ABGC) performed a genetic counseling practice analysis (PA) to determine the content of the certification examination. The ABGC-appointed PA Advisory Committee worked with psychometricians to develop a survey which was distributed to 2,038 genetic counselors in the United States and Canada. The survey was also accessible on the ABGC website. Multiple criteria were used to establish the significance of the tasks included in the survey. A total of 677 responses were used in the analysis, representing a 37.1% corrected response rate. Five major content domains with 143 tasks were identified in the PA. New certification test specifications were developed on the basis of PA results and will be used in developing future examination forms. In keeping with credentialing standards, ABGC plans to conduct a PA on a regular basis so that the content of the examination reflects current practice.     

Measuring preschool cognitive growth while it's still happening: The Learning Express

Educators need accurate assessments of preschool cognitive growth to guide curriculum design, evaluation, and timely modification of their instructional programs. But available tests do not provide content breadth or growth sensitivity over brief intervals. This article details evidence for a multiform, multiscale test criterion-referenced to national standards for alphabet knowledge, vocabulary, listening comprehension and mathematics, developed in field trials with 3433 3–5¹/₂-year-old Head Start children. The test enables repeated assessments (20–30 min per time point) over a school year. Each subscale is calibrated to yield scaled scores based on item response theory and Bayesian estimation of ability. Multilevel modeling shows that nearly all score variation is associated with child performance rather than examiner performance and individual growth-curve modeling demonstrates the high sensitivity of scores to child growth, controlled for age, sex, prior schooling, and language and special needs status.     

The interplay of individual differences,norms, and group identification in predicting prejudiced behavior in online video game interactions

Despite the increasing popularity of video games and the diversity of people who play, prejudice remains common in online gaming. In the current study, we use structural equation modeling to test the role of social norms, individual differences, and gamer identification as predictors of how likely someone is to report engaging in prejudiced behavior while playing online video games. We also test the relative importance of these predictors to assess how likely people are to confront prejudice when it occurs in online video games. Participants (N = 384) completed a series of questionnaires to assess their attitudes and perceptions of online gaming norms, as well as to report their own prejudiced and confrontation behavior in video games. We found that both social norms and individual differences are significant predictors of behavior in online gaming. The more normative people report prejudice to be, the more they report making prejudiced comments. Similarly, the more normative confrontation of prejudice is reported to be, the more likely people are to report confronting prejudice. The more people endorsed generally prejudiced attitudes, the more likely they were to report making prejudiced remakes in online gaming and the less likely they were to report confronting prejudiced remarks. These results provide a foundation to inform interventions to reduce prejudice in gaming and indicate that both individual differences and norms are important to consider when designing interventions.     

Community group membership protects the well‐being of adults experiencing socio‐economic disadvantage

The present research examined the mechanisms through which community groups improve well‐being in adults (N = 156) experiencing socio‐economic disadvantage. Analysis showed that joining a group improved outcomes by enhancing people's group identification and wider sense of belonging to multiple groups and that this effect was stronger for more socio‐economically disadvantaged participants.     

A low-cost, accurate method of producing large quantities of digitally filtered images

We demonstrate how to produce complex image transformations of bitmap files for vision experiments using the Cogimatic Vision Starter Kit (VSK) library of mathematical routines along with Visual Basic, C++, or the Delphi Pascal compiler. Implementing this system on an IBM-compatible PC running Windows 95, 98, or NT4 enables researchers to quickly and economically manipulate images for vision research. The VSK includes a simple stand-alone image-processing application. In addition, VSK has the ability to automate image transformations and to fully integrate image processing into new experimental software on the PC platform.     

Magnitude: An Important Dimension of Self‐Efficacy1

According to Bandura (1977a. 1977b). self‐efficacy for a particular task varies along 3 dimensions: magnitude, strength, and generality. Although the magnitude of a task influences one's degree of self‐efficacy, researchers have seldom tapped this dimension. We explicitly examined the magnitude dimension, and whether magnitude and confidence represent operationally distinct dimensions. A sample of undergraduates (n= 221) rated how confident they were that they could perform 22 behaviors comprising 3 domains of protective sexual behaviors (refusing sexual intercourse, questioning potential sexual partners, using condoms). Each participant also rank‐ordered the difficulty of performing each item within each domain. Data analyses revealed considerable overlap between the dimensions of confidence and magnitude, but also substantial differences. Thus, researchers may want to include this dimension when including self‐efficacy.