Examining Changing Attitudes in Secondary School Science

This study, carried out in England, examined the variation of attitudes towards science over the first three years of secondary schooling and with gender. The study in question was part of an evaluation of the “Lab in a Lorry” project, and involved 932 pupils completing a pre‐measure questionnaire containing items looking at six separate attitude constructs. From these data, two main patterns emerged; pupils’ attitudes towards science declined as they progressed through secondary school, and this decline was more pronounced for female pupils. These conclusions are largely in agreement with previous studies in this field. However, in examining separate attitude constructs, we were also able to identify that the sharpest decline occurred specifically for pupils’ attitude towards learning science in school. Furthermore, using linear regression, we identified that, as pupils progress through school, this construct becomes a greater influence on attitudes towards future participation in science. Therefore, we also concluded that learning science in school is a particular area that needs to be concentrated upon, if we are to improve children’s attitudes towards science. In the final part of the paper, we drew on interview data obtained from 44 pupils involved in the Lab in a Lorry study. Pupils’ comments in these interviews provided further insight into why pupils are “switched off” by school science. We drew out the most prevalent themes that emerged in the interviews, in order to provide further insight into why pupils do not enjoy science in school.     

Queer theory: Under construction

This article outlines how the concepts of queer and queer theory have been applied to qualitative studies. The multiple definitions of queer are examined, to foster an understanding of the positions from which theorists have utilized the concept to examine a number of disciplines. The advancement of the tenets of queer theory is outlined chronologically, to display the evolution of the theory through intradisciplinary applications. The body of qualitative works utilizing queer theory is categorized (language, literature, and arts; history; life histories / life stories; and queer theory as praxis) and juxtaposed. In addition, efforts to define and enact a "queer pedagogy" are analyzed. Suggestions for further application of queer theory in education, ethnography, and qualitative studies conclude the article.     

Information Functions of Rank-2PL Models for Forced-Choice Questionnaires

This paper presents the item and test information functions of the Rank two-parameter logistic models (Rank-2PLM) for items with two (pair) and three (triplet) statements in forced-choice questionnaires. The Rank-2PLM model for pairs is the MUPP-2PLM (Multi-Unidimensional Pairwise Preference) and, for triplets, is the Triplet-2PLM. Fisher's information and directional information are described, and the test information for Maximum Likelihood (ML), Maximum A Posterior (MAP), and Expected A Posterior (EAP) trait score estimates is distinguished. Expected item/test information indexes at various levels are proposed and plotted to provide diagnostic information on items and tests. The expected test information indexes for EAP scores may be difficult to compute due to a typical test's vast number of item response patterns. The relationships of item/test information with discrimination parameters of statements, standard error, and reliability estimates of trait score estimates are discussed and demonstrated using real data. Practical suggestions for checking the various expected item/test information indexes and plots are provided.     

Tasks and trajectories in learning to teach

University‐based teacher‐education programmes in the USA confront mounting pressure to demonstrate that graduates will have a significant and positive impact on student achievement. Such pressure has forced teacher educators to wrestle with the question of what constitutes compelling evidence that teacher candidates will indeed have such an impact. This paper presents the deliberations and resulting investigation of a team of university faculty members seeking to account for preservice elementary‐school teachers’ learning and development. It offers a preliminary articulation of a trajectory of learning, and a critique of the tasks and the programmatic experiences from which this trajectory is constructed.     

Data-Division–Specific Robustness and Power of Randomization Tests for ABAB Designs

This study deals with the statistical properties of a randomization test applied to an ABAB design in cases where the desirable random assignment of the points of change in phase is not possible. To obtain information about each possible data division, the authors carried out a conditional Monte Carlo simulation with 100,000 samples for each systematically chosen triplet. The authors studied robustness and power under several experimental conditions—different autocorrelation levels and different effect sizes as well as different phase lengths determined by the points of change. Type I error rates were distorted by the presence of autocorrelation for the majority of data divisions. The authors obtained satisfactory Type II error rates only for large treatment effects. The relation between the lengths of the four phases appeared to be an important factor for the robustness and power of the randomization test.     

Causal Modeling and Research on Teacher Education

Causal modeling was applied to data collected in a naturalistic setting in an attempt to validate a conceputal model of teaching. These data, collected on 44 student teachers, included supervisory ratings of the variables: specifying performance objectives, diagnosing learners, selecting instructional strategies, and interacting with learners. Additionally, the mean number of objectives achieved by the classes of each of the student teachers was used as a measure of the fifth variable in the model, evaluating the effectiveness of instruction. A recursive causal model which described the relationship of these variables was developed and analyzed, using four linear equations. Examination of the path coefficients from these equations revealed that the variables, specification of performance objectives, and diagnosing learners account for over one-half the variance in selecting instructional strategies. Other results indicated there were low to moderate amounts of variance shared by the variables in the model. This study illustrates the application of causal modeling techniques in testing theoretical models in education using data collected in naturalistic, nonexperimental settings.     

Education data in conflict-affected countries: The fifth failure?

Poor-quality, or completely absent, data deny millions of children the right to an education. This is often the case in conflict-ridden areas. The 2011 Education for All Global Monitoring Report (UNESCO 2011b) identified four failures that are holding back progress in education and damaging millions of children’s lives: failures of protection, provision, reconstruction, and peace-building. Thus, the critical lack, and the varying quality, of data on education and on human rights violations against children during and after armed conflicts amount to what can be termed the fifth failure of the international community. This article examines how currently available data, and monitoring and evaluation systems, can be used and improved to better estimate the situation of children in conflict-affected countries, in particular with respect to education. In the light of international standards for data dissemination and data quality, it highlights the need for governments and the international community to expand our current capacity to provide general information on the impact that conflict has on education, children, parents, and schools, to ensure the right to education for millions of children living in conflict-affected countries. Such an effort would include specific steps to ensure higher data quality in terms of completeness and accuracy, timeliness, serviceability, and methodological soundness.