Vocabulary Assessment of Deaf and Hard-of-Hearing Children From Infancy Through the Preschool Years

The purpose of this article is to inform researchers and practitioners about potential challenges in the selection, administration, and interpretation of results of measures of vocabulary assessment when working with deaf and hard-of-hearing children. This article reviews methods that can be used to assess vocabulary of children through the age of 5 years, including naturalistic observation, parent report measures, and standardized vocabulary tests. The authors also describe procedures to assess word-learning processes available to children to facilitate vocabulary acquisition. General cautions regarding the use of assessment tools with deaf and hard-of-hearing children are reviewed, as well as cautions for specific assessment measures. Finally, based on available research, suggestions are offered regarding what each assessment test can tell us about deaf and hard-of-hearing children's vocabulary development.     

Using Internet delivered video cases,to support pre-service teachers' understanding of effective early literacy instruction: An exploratory study

This preliminary study explores the effects ofusing CTELL (Case Technologies EnhancingLiteracy Learning) cases on preserviceteachers' learning. Students participated inone of three instructional treatments:traditional, traditional plus video, andtraditional plus CTELL cases. A pre-postconcept web, describing students' understandingof effective reading instruction, served as themajor outcome measure. This was supplementedwith a unidimensional confidence measure,journal entries, and student interviews. Nosignificant differences were found for any ofthe three treatment conditions on the conceptmapping task or the confidence measure.However, the journal entries and interview datahighlight important issues, challenges andbenefits, with respect to the use of multimediacases. Implications for teacher education areexplored.     

Multidimensional Linking: Four Practical Approaches

This paper introduces and evaluates four practical multidimensional linking procedures that are based on the theoretical framework recently proposed by Davey, Oshima, and Lee (1996): (a) the Direct method, (b) the Equated Function method, (c) the Test Characteristic Function (TCF) method, and (d) the Item Characteristic Function (ICF) method. The evaluation was conducted using simulated data. As anticipated, the competing procedures yielded different linking parameter estimates. The TCF and ICF methods were found to be more stable and recovered the true linking parameters better than the other two methods. Furthermore, all procedures were found to be acceptable under almost any of the minimization criteria and offered dramatic improvement over not linking at all. It is recommended that the choice of a linking procedure should depend on the purpose of linking.     

Psychological Expertise and the Role of Individual Differences: An Exploration of Issues

Cognitive scientists have suggested that individual differences are relatively unimportant in predicting who will become an expert in any particular domain. This stance is at variance with the admissions screening practices of graduate programs in professional psychology as well as with counseling psychology's individual differences tradition. The purpose of this article was to consider some of the issues involved on both sides of this apparent contradiction, with particular emphasis on expertise in professional psychology. I first examine some of the possible operational definitions of expertise in this domain. I then consider salient literature and conclude that there almost certainly are threshold levels of intellectual and interpersonal skills that trainees in professional psychology should have. Beyond these levels, though, it may be that motivation and persistence are the most important variables in predicting the eventual attainment of expertise in professional psychology.     

Latent Markov Factor Analysis for Exploring Measurement Model Changes in Time-Intensive Longitudinal Studies

When time-intensive longitudinal data are used to study daily-life dynamics of psychological constructs (e.g., well-being) within persons over time (e.g., by means of experience sampling methodology), the measurement model (MM)—indicating which constructs are measured by which items—can be affected by time- or situation-specific artifacts (e.g., response styles and altered item interpretation). If not captured, these changes might lead to invalid inferences about the constructs. Existing methodology can only test for a priori hypotheses on MM changes, which are often absent or incomplete. Therefore, we present the exploratory method “latent Markov factor analysis” (LMFA), wherein a latent Markov chain captures MM changes by clustering observations per subject into a few states. Specifically, each state gathers validly comparable observations, and state-specific factor analyses reveal what the MMs look like. LMFA performs well in recovering parameters under a wide range of simulated conditions, and its empirical value is illustrated with an example.     

The myth of equality in science classrooms

An analysis of the 1976-1977 NAEP survey of science attitudes showed that, by age nine, females, although expressing similar or greater desires to participate in science activities, had consistently fewer experiences in science than boys of the same age. Science activities surveyed included use of common experimental materials and instruments, observation of scientific phenomena, and field trips. At ages 13 and 17, girls again reported fewer classroom and extracurricular science activities than boys. Their responses indicated narrow perceptions of science and of the usefulness of scientific research. In addition, they displayed generally negative attitudes toward science classes and careers. Suggestions to eliminate the inequalities found are offered.     

Promoting elementary students’ epistemology of science through computer-supported knowledge-building discourse and epistemic reflection

This study examined the role of computer-supported knowledge-building discourse and epistemic reflection in promoting elementary-school students’ scientific epistemology and science learning. The participants were 39 Grade 5 students who were collectively pursuing ideas and inquiry for knowledge advance using Knowledge Forum (KF) while studying a unit on electricity; they also reflected on the epistemic nature of their discourse. A comparison class of 22 students, taught by the same teacher, studied the same unit using the school’s established scientific investigation method. We hypothesised that engaging students in idea-driven and theory-building discourse, as well as scaffolding them to reflect on the epistemic nature of their discourse, would help them understand their own scientific collaborative discourse as a theory-building process, and therefore understand scientific inquiry as an idea-driven and theory-building process. As hypothesised, we found that students engaged in knowledge-building discourse and reflection outperformed comparison students in scientific epistemology and science learning, and that students’ understanding of collaborative discourse predicted their post-test scientific epistemology and science learning. To further understand the epistemic change process among knowledge-building students, we analysed their KF discourse to understand whether and how their epistemic practice had changed after epistemic reflection. The implications on ways of promoting epistemic change are discussed.     

The impact of learning difficulties and socioemotional and behavioural problems on transition to postsecondary education or work life in Finland: a five-year follow-up study

Learning difficulties have been found to dilute the possibilities that young adults have in their educational careers. However, during the last few decades, education has become increasingly important for employment and overall life satisfaction. In the present study, we were interested in the effects of mathematical and reading difficulties and socioemotional and behavioural problems (measured at age 16) on three educational situations at age 21: delayed graduation from upper secondary education, short educational trajectory and not being engaged in education, employment or training (NEET). The participants (N = 597; 304 females, 293 males) were one age cohort of ninth graders in general education classes, who were followed for five years after completion of compulsory education. This time frame included two different transition phases: first, from comprehensive education to upper secondary education, and second, from upper secondary education to further studies or to working life. Structural equation modelling was used as analysis method. The findings show that mathematical and reading difficulties as well as socioemotional and behavioural problems had significant long-term effects on the participants’ educational careers. New in part was that these learning difficulties seemed to have somewhat divergent emphases on the three investigated life situations: (1) mathematical difficulties, more strongly than reading difficulties, caused the students to attain lower levels of education, (2) mathematical difficulties and socioemotional problems predicted a student ending up in the NEET group and (3) reading difficulties and behavioural problems predicted delayed graduation from upper secondary education.     

What Can Institutional Research do to Help Colleges Meet the Workforce Needs of States and Nations?

Institutions of higher education are looked to by society as the training grounds and gatekeepers for college-trained workers. However, despite a long history of being viewed by many as unresponsive to labor force needs, the academy has not found ways of effectively meeting these demands, nor articulating why it is that they have difficulty doing so. This paper discusses how institutional researchers can help explain to campus administrators and others the role that institutions play in training individuals for the workplace, and why they cannot always quickly respond to and solve shortages of college-trained workers. The first section outlines what economic theory and research has to say regarding labor markets, how labor market shortages arise, and how students make decisions about which major to pursue. The last section describes problems institutional researchers face when using their skills with data to identify solutions to this problem. Using data from the state of New Hampshire, it will be shown that the data available to institutional decisionmakers can be out of date, inaccurate, and not particularly useful for designing policies that would enable an institution to respond to the labor needs of the economy.