Computing Variances from Data with Complex Sampling Designs: A Comparison of Stata and SPSS

Most of the data sets available through the National Center for Education Statistics (NCES) are based on complex sampling designs involving multi-stage sampling, stratification, and clustering. These complex designs require appropriate statistical techniques to calculate the variance. Stata employs specialized methods that appropriately adjust for the complex designs, while SPSS does not. Researchers using SPSS must obtain the design effects through NCES and adjust the standard errors generated by SPSS with these values. This presentation addresses the pros and cons of recommending Stata or SPSS to novice researchers. The first presenter teaches research methods to doctoral students and uses Stata to conduct research with NCES data. She uses SPSS to teach her research methods course, due to its user-friendly interface. The second presenter is a doctoral student conducting dissertation research with NCES data. In his professional life as an institutional researcher, he uses SPSS. NCES data sets are a rich resource, but the complex sampling designs create conceptual issues beyond the immediate grasp of most doctoral candidates in the field. The session considers and invites comment on the best approaches to introducing new researchers to complex sampling designs in order to enable them to use NCES data.

Feasibility study ASCS remote sensing/compliance determination system

A short-term technical study was performed by the MSC Earth Observations Division to determine the feasibility of the proposed Agricultural Stabilization and Conservation Service Automatic Remote Sensing/Compliance Determination System. For the study, the term automatic was interpreted as applying to an automated remote-sensing system that includes data acquisition, processing, and management

Gamma-ray bursts and X-ray melting of material as a potential source of chondrules and planets

The intense radiation from a gamma-ray burst (GRB) is shown to be capable of melting stony material at distances up to 300 light years which subsequently cool to form chondrules. These conditions were created in the laboratory for the first time when millimeter sized pellets were placed in a vacuum chamber in the white synchrotron beam at the European Synchrotron Radiation Facility (ESRF). The pellets were rapidly heated in the X-ray and gamma-ray furnace to above 1400 C melted and cooled. This process heats from the inside unlike normal furnaces. The melted spherical samples were examined with a range of techniques and found to have microstructural properties similar to the chondrules that come from meteorites. This experiment demonstrates that GRBs can melt precursor material to form chondrules that may subsequently influence the formation of planets. This work extends the field of laboratory astrophysics to include high power synchrotron sources.Comment: 8 pages, 10 figures. Proceedings of the 5th INTEGRAL Workshop, Munich 16-20 February 2004. High resolution figures available at http://bermuda.ucd.ie/%7Esmcbreen/papers/duggan_01.pd

The influence of goal-state access cost on planning during problem solving

Two problem-solving experiments investigated the relationship between planning and the cost of accessing goal-state information using the theoretical framework of the soft constraints hypothesis (Gray & Fu, 2004; Gray, Simms, Fu, & Schoelles, 2006). In Experiment 1, 36 participants were allocated to low, medium, and high access cost conditions and completed a problem-solving version of the Blocks World Task. Both the nature of planning (memory based or display based) and its timing (before or during action) changed with high goal-state access cost (a mouse movement and a 2.5-s delay). In this condition more planning before action was observed, with less planning during action, evidenced by longer first-move latencies, more moves per goal-state inspection, and more short (≤0.8 s) and long (>8 s) “preplanned” intermove latencies. Experiment 2 used an eight-puzzle-like transformation task and replicated the effect of goal-state access cost when more complex planning was required, also confirmed by sampled protocol data. Planning before an episode of move making increased with higher goal-state access cost, and planning whilst making moves increased with lower access cost. These novel results are discussed in the context of the soft constraints hypothesis

Race, ethnicity, and racism in the nutrition literature: an update for 2020

Social disparities in the US and elsewhere have been terribly highlighted by the current COVID-19 pandemic but also an outbreak of state-sponsored violence. The field of nutrition, like other areas of science, has commonly used ‘race’ to describe research participants and populations, without the recognition that race is a social, not a biologic, construct. We review the limitations of classifying participants by race, and recommend a series of steps for authors, researchers and policymakers to consider when producing and reading the nutrition literature. We recommend that biomedical researchers, especially those in the field of nutrition, abandon the use of racial categories to explain biologic phenomena but instead rely on a more comprehensive framework of ethnicity; that authors consider not just race and ethnicity but many social determinants of health, including experienced racism; that race and ethnicity not be conflated; that dietary pattern descriptions inform ethnicity descriptions; and that depersonalizating language be avoided

Examining ‘digital disruption’ as problem and purpose in Australian education policy

Young people’s relationship to the digital economy is a key site of popular and policy attention within the context of shifts in labour market conditions globally. The massification of digital media and rapid growth of digital markets globally have brought significant challenges for policy makers in what counts as work, and how best to prepare young people to engage with it. This has manifest in a proliferation of initiatives and policy orientations across much of the global north which have tended to focus on the importance of science, technology, engineering, and mathematics occupations, and in particular, computing aimed at preparing young people for ‘jobs of the future’. The formalisation of learn to code programs in school curriculum has been one such initiative. Despite the proliferation of coding and computational thinking curriculum across many countries, there remains a relative paucity of scholarship examining their embedding in educational policy debates. This article follows the announcement of ‘coding in schools’ policy in Australia since its formal announcement by Opposition Leader Bill Shorten in his Budget Reply speech in May 2015. The announcement followed similar moves in other countries and has cemented ‘coding in schools’ as a literacy of ‘the future’ in the Australian political landscape. This article suggests that while a policy focus on technical and instrumental skills such as computer coding may help young people to interact with dominant technologies of the present, they also risk weakening a more substantive conversation around educational participation and purpose in the present, and for the future