This course is an investigation of affective priming and creation of rigorously counterbalanced, fully computerized testing paradigm. Includes background readings, study design, counterbalancing, study execution, data analysis, presentation of poster, and final paper.

Students engage in hands-on, true-to-life research experiences on air quality topics chosen for personal interest through a unit composed of one lesson and five associated activities. Using a project-based learning approach suitable for secondary science classrooms and low-cost air quality monitors, students gain the background and skills needed to conduct their own air quality research projects. The curriculum provides: 1) an introduction to air quality science, 2) data collection practice, 3) data analysis practice, 4) help planning and conducting a research project and 5) guidance in interpreting data and presenting research in professional poster format. The comprehensive curriculum requires no pre-requisite knowledge of air quality science or engineering. This curriculum takes advantage of low-cost, next-generation, open-source air quality monitors called Pods. These monitors were developed in a mechanical engineering lab at the University of Colorado Boulder and are used for academic research as well as education and outreach. The monitors are made available for use with this curriculum through AQ-IQ Kits that may be rented from the university by teachers. Alternatively, nearly the entire unit, including the student-directed projects, could also be completed without an air quality monitor. For example, students can design research projects that utilize existing air quality data instead of collecting their own, which is highly feasible since much data is publically available. In addition, other low-cost monitors could be used instead of the Pods. Also, the curriculum is intentionally flexible, so that the lesson and its activities can be used individually. See the Other section for details about the Pods and ideas for alternative equipment, usage without air quality monitors, and adjustments to individually teach the lesson and activities.

The designing, collecting, analyzing, and reporting of psychological studies entail many choices that are often arbitrary. The opportunistic use of these so-called researcher degrees of freedom aimed at obtaining statistically significant results is problematic because it enhances the chances of false positive results and may inflate effect size estimates. In this review article, we present an extensive list of 34 degrees of freedom that researchers have in formulating hypotheses, and in designing, running, analyzing, and reporting of psychological research. The list can be used in research methods education, and as a checklist to assess the quality of preregistrations and to determine the potential for bias due to (arbitrary) choices in unregistered studies.

This presentation provides an introduction to methods used to identify genetic loci affecting diabetes and pre-diabetes traits. Furthermore we’ll discuss aspects that are important when choosing and considering different methods.

Course responsible: Associate Professor Signe Sørensen Torekov, MD Nicolai Wewer Albrechtsen & Professor Jens Juul Holst

In animal experiments, animals, husbandry and test procedures are traditionally standardized to maximize test sensitivity and minimize animal use, assuming that this will also guarantee reproducibility. However, by reducing within-experiment variation, standardization may limit inference to the specific experimental conditions. Indeed, we have recently shown in mice that standardization may generate spurious results in behavioral tests, accounting for poor reproducibility, and that this can be avoided by population heterogenization through systematic variation of experimental conditions. Here, we examined whether a simple form of heterogenization effectively improves reproducibility of test results in a multi-laboratory situation. Each of six laboratories independently ordered 64 female mice of two inbred strains (C57BL/6NCrl, DBA/2NCrl) and examined them for strain differences in five commonly used behavioral tests under two different experimental designs. In the standardized design, experimental conditions were standardized as much as possible in each laboratory, while they were systematically varied with respect to the animals' test age and cage enrichment in the heterogenized design. Although heterogenization tended to improve reproducibility by increasing within-experiment variation relative to between-experiment variation, the effect was too weak to account for the large variation between laboratories. However, our findings confirm the potential of systematic heterogenization for improving reproducibility of animal experiments and highlight the need for effective and practicable heterogenization strategies.

How to do science: a guide to researching human physiology has been written for students of the life sciences who are actively engaged in the scientific process. A lot of support is available for students learning scientific facts, but we found that it was harder to find resources to support students to become scientists.

This ebook introduces you to what it means to be a scientist. You will learn about the scientific method and how to do many tasks of a scientist, your roles and responsibilities as a scientist as well as possible career paths, and how to use your skills as a science graduate to get a leg up in the job market.

This text is published by the La Trobe eBureau.

Students take an in-depth look at what goes into planning a research project, which prepares them to take the lead on their own projects. Examining a case study, students first practice planning a research project that compares traditional cook stoves to improved cook stoves for use in the developing world. Then they compare their plans to one used in the real-world by professional researchers, gaining perspective and details on the thought and planning that goes into good research work. Then students are provided with example materials, a blank template and support to take them from brainstorming to completing a detailed research plan for their own air quality research projects. Conducting students’ AQ-IQ research studies requires additional time and equipment beyond this planning activity. Then after the data is collected and analyzed, teams interpret the data and present summary research posters by conducting the next associated activity Numerous student handouts and a PowerPoint® presentation are provided.