Girls Helping Girls: Assessing the Influence of College Student Mentors in an Afterschool Engineering Program

Current data suggest fewer females than males continue to be interested in engineering and that this gender gap is first evidenced during middle school years. One might expect that female engineering role models would encourage adolescent girls to pursue future careers in engineering and thereby increase the girls’ interests in and attitudes towards science and mathematics. This study sought to correlate middle school girls’ overall confidence in science and mathematics with a year-long, afterschool mentoring program led by female engineering students from a local university. The results demonstrated that there was a significant correlation between the quality of the mentoring relationship and the girls’ confidence in mathematics. The relationship between female role models and young girls’ attitudes toward science and mathematics is discussed.     

Community Consultation in Developing Museum Projects: A Case Study Using the Repertory Grid Technique

Good community consultation is a powerful tool in developing new museum projects and exhibitions, facilitating a more effective delivery of service to a diverse public. Existing techniques for both user and community consultation are limited with front end evaluation particularly undeveloped in the sector, often providing no meaningful base by which to compare project outcomes. Tension exists between government, which values quantitative data, and researchers who argue qualitative methods are more appropriate for evaluating community projects. This article reports a pilot study using the repertory grid technique to examine a ‘socially excluded’, ethnically diverse local community's perceptions, expectations and previous experiences of similar projects, to provide a benchmark against which to compare outcomes. This research formed part of the front end evaluation for a New Deal for Community's Project run by Sheffield Galleries and Museums Trust. The repertory grid technique was developed in psychological studies as a means of understanding respondents' own world views, and is particularly helpful in working with people with poor language skills. Although this study only used the technique qualitatively, it can be used to combine both quantitative and qualitative data, providing more robust data for evidence-based policy decisions. Using the repertory grid technique, respondents were able to list both perceived and practical barriers to participation in projects. The technique also enabled them to articulate what would motivate them to become involved in future projects. The repertory grid technique has significant potential for use in community consultation and project evaluation as a means of understanding local residents' perceptions and its visual representation means that its findings can be easily understood by participants, policy-makers and practitioners.     

Information processing deficits in children with attention-deficit/hyperactivity disorder, inattentive type, and children with reading disability

We examined the information processing capabilities of children diagnosed with the inattentive subtype of attention-deficit/hyperactivity disorder (ADHD) who had been characterized as having a sluggish cognitive tempo. Children referred for school-related problems (n = 81) and nonreferred community controls (n = 149) participated. Of the referred children, 24 met criteria for ADHD, 42 met criteria for reading disability (RD), and 9 of these were comorbid for RD and ADHD. Children with ADHD differed from those without ADHD on a visual search task but not on an auditory processing task; the reverse was true for children with RD. Decomposition of the visual search task into component operations demonstrated that children in the ADHD group had a slow processing rate that was not attributable to inattention. The children with ADHD were not globally poor at information processing or inattentive, but they demonstrated diminished speed of visual processing.     

Unpacking the career aspirations of Australian school students: towards an evidence base for university equity initiatives in schools

Demand for higher education in Australia has doubled since 1989, increasing the number of students from diverse social, economic and academic backgrounds. Equity targets have seen a proliferation of programs and interventions aimed at encouraging school students, particularly those from low socio-economic status backgrounds, to participate in higher education. However, little is known about the specific occupational interests of school students upon which targeted strategies might effectively be designed and implemented. This paper examines school students’ aspirations for specific careers that require a university education, in relation to student background and school-related variables. The analysis draws from a study of 6492 students from Years 3 to 12 in 64 New South Wales public schools. We found a complex array of factors relating to interest in different careers. Year level at school, gender and prior achievement were stronger predictors across many careers than factors such as SES, Indigenous status and school location. We argue that rather than taking a one-size-fits-all approach to encouraging participation in higher education, outreach activities should be targeted to take account of student diversity and inequalities that foster differing aspirations.     

Transforming SIBTEST to Account for Multilevel Data Structures

SIBTEST is a differential item functioning (DIF) detection method that is accurate and effective with small samples, in the presence of group mean differences, and for assessment of both uniform and nonuniform DIF. The presence of multilevel data with DIF detection has received increased attention. Ignoring such structure can inflate Type I error. This simulation study examines the performance of newly developed multilevel adaptations of SIBTEST in the presence of multilevel data. Data were simulated in a multilevel framework and both uniform and nonuniform DIF were assessed. Study results demonstrated that naïve SIBTEST and Crossing SIBTEST, ignoring the multilevel data structure, yield inflated Type I error rates, while certain multilevel extensions provided better error and accuracy control.     

Comparison of Factor Simplicity Indices for Dichotomous Data: DETECT R,Bentler's Simplicity Index,and the Loading Simplicity Index

A primary assumption underlying several of the common methods for modeling item response data is unidimensionality, that is, test items tap into only one latent trait. This assumption can be assessed several ways, using nonlinear factor analysis and DETECT, a method based on the item conditional covariances. When multidimensionality is identified, a question of interest concerns the degree to which individual items are related to the latent traits. In cases where an item response is primarily associated with one of these traits it is said that (approximate) simple structure exists, whereas when the item response is related to both traits, the structure is complex. This study investigated the performance of three indices designed to assess the underlying structure present in item response data, two of which are based on factor analysis and one on DETECT. Results of the Monte Carlo simulations show that none of the indices works uniformly well in identifying the structure underlying item responses, although the DETECT r-ratio might be promising in differentiating between approximate simple and complex structures under certain circumstances.