Laboratory exercise using "virtual rats" to teach endocrine physiology.

1997 ◽  
Vol 273 (6) ◽  
pp. S24 ◽  
Author(s):  
C M Odenweller ◽  
C T Hsu ◽  
E Sipe ◽  
J P Layshock ◽  
S Varyani ◽  
...  
Keyword(s):  
Data Collection ◽  
Animal Rights ◽  
Laboratory Data ◽  
Animal Experimentation ◽  
Design Data ◽  
Laboratory Exercise ◽  
Ethical Concerns ◽  
Data Collection And Analysis ◽  
Limited Experience ◽  
Rights Issues

Animal experimentation is limited in many curricula due to the expense, lack of adequate animal facilities and equipment, and limited experience of the teachers. There are also ethical concerns dealing with the comfort and safety of the animals. To overcome these obstacles, we developed a "dry laboratory" using "virtual rats." The "virtual rat" eliminates the obstacles inherent in animal experimentation, such as inadequate budgets, as well as avoiding important animal rights issues. Furthermore, no special materials are required for the completion of this exercise. Our goal in developing this dry laboratory was to create an experience that would provide students with an appreciation for the value of laboratory data collection and analysis. Students are exposed to the challenge of animal experimentation, experimental design, data collection, and analysis and interpretation without the issues surrounding the use of live animals.

Science in Your Own Backyard: Using Locally Abundant Caterpillars & Plants to Teach about Herbivory

2011 ◽  
Vol 73 (8) ◽  
pp. 463-466
Author(s):  
Heather S. Mallory ◽  
Martha R. Weiss
Keyword(s):  
Data Collection ◽  
Animal Behavior ◽  
Diet Breadth ◽  
Observation Data ◽  
Science Standards ◽  
Design Data ◽  
Grade Levels ◽  
Data Collection And Analysis ◽  
Hands On ◽  
National Science Standards

National science standards require an understanding of animal behavior, diversity, and adaptations of organisms, as well as the concept of science as inquiry. We have developed a hands-on classroom activity that addresses these standards through teaching about herbivory and diet breadth, using locally abundant caterpillars and plants. This activity provides students with opportunities for careful observation, data collection and analysis, and development of testable hypotheses for further experimentation. The lesson can be adapted to different grade levels, with students taking on varied levels of responsibility for formulation of hypotheses, experimental design, data collection, and data analysis.

scholarly journals Correction to: M1 macrophage dependent-p53 regulates the intracellular survival of mycobacteria

APOPTOSIS ◽  
2019 ◽  
Vol 25 (1-2) ◽  
pp. 56-56
Author(s):  
Yun-Ji Lim ◽  
Junghwan Lee ◽  
Ji-Ae Choi ◽  
Soo-Na Cho ◽  
Sang-Hun Son ◽  
...  
Keyword(s):  
Data Collection ◽  
Study Design ◽  
Medical Science ◽  
Original Version ◽  
Research Fund ◽  
Design Data ◽  
Data Collection And Analysis ◽  
M1 Macrophage ◽  
National University ◽  
The Brain

The original version of this article unfortunately contains an error in the acknowledgement section. The text “Brain Korea 21 PLUS Project for Medical Science, Chungnam National University” was omitted by mistake. The correct and complete acknowledgment is given below: Acknowledgments This work was supported by the research fund of Chungnam National University and the Brain Korea 21 PLUS Project for Medical Science, Chungnam National University. The funders had no role in study design, data collection and analysis decision to publish, or preparation of the manuscript.

scholarly journals Naked Methodology: Baring It All for a Realistic Account of Marine Social Science

2021 ◽  
pp. 23-45
Author(s):  
Kristen Ounanian
Keyword(s):  
Data Collection ◽  
Social Science ◽  
Graduate Student ◽  
Field Research ◽  
Quantitative Approach ◽  
Fishing Communities ◽  
Factorial Survey ◽  
Design Data ◽  
Data Collection And Analysis ◽  
Survey Approach

AbstractThis chapter portrays what is often overlooked in research—that it involves not simply design, data collection, and analysis, but also failure and redesign. To demystify the process, it presents the evolution of a study of six coastal communities from a mixed methods qualitative and quantitative approach to a qualitative macroethnography. Intending to employ an innovative method, the Factorial Survey Approach, the researcher confronted serious challenges in the process, engendering reflections on (a) the limitations of the method, specifically in fishing communities, (b) the pressure to prove methodological bilingualism as an interdisciplinary graduate student, and (c) individual ontological growth. The chapter considers the collective tendency in (social) science to conceal the imperfections of field research, obscuring insights gained from situations when things do not go according to plan.

On Interdisciplinarity in Bioarchaeology

2018 ◽  
pp. 6-34
Author(s):  
Cathy Willermet
Keyword(s):  
Data Collection ◽  
Biological Anthropology ◽  
Central Research ◽  
Design Data ◽  
Interdisciplinary Work ◽  
Data Collection And Analysis ◽  
Wide Range ◽  
Research Problems ◽  
Research Questions ◽  
Interdisciplinary Theory

Bioarchaeology began as an interdisciplinary enterprise, integrating biological anthropology and archaeology, and organized around central research problems, where researchers from different fields or subfields would actively collaborate in formulating research questions, study design, data collection, and analysis. Today it has developed into its own discipline that includes perspectives from a wide range of fields. Bioarchaeology is particularly well positioned to provide a disciplinary foundation that also supports multidisciplinary or interdisciplinary questions through collaborative research. In this chapter, the author examines explicitly the value of this type of integrative, multidisciplinary or “conjunctive” approach to research. She evaluates the use of interdisciplinary theory and methodology in bioarchaeology in both migration and mobility research and ethnicity and social identity research, particularly in Mesoamerica. A review of the challenges and rewards of interdisciplinary work is provided, and concludes with a discussion of contemporary issues that would benefit from an interdisciplinary bioarchaeological approach.

Study Design, Data Collection, and Analysis in Implementation Science

2018 ◽  
Author(s):  
Marisa Sklar ◽  
Joanna C. Moullin ◽  
Gregory A. Aarons
Keyword(s):  
Data Collection ◽  
Implementation Science ◽  
Study Design ◽  
Controlled Trial ◽  
Cancer Control ◽  
Design Data ◽  
Cluster Randomized Control Trial ◽  
Data Collection And Analysis ◽  
Implementation Studies ◽  
Cluster Randomized

This chapter provides an introduction to study design, data collection, and analysis in implementation science. Although the randomized controlled trial is frequently employed in implementation science, a number of alternatives are relied on for addressing the unique challenges present. Alternatives include the cluster randomized control trial, roll-out designs such as the stepped wedge, cumulative trial, and effectiveness–implementation hybrid designs. Data collection and data analytic techniques must also address the unique challenges present in implementation science. Often, implementation occurs over time, often, across complex, multilevel contexts. Implementation scientists frequently utilize mixed, qualitative, and quantitative methodologies for collecting, analyzing, and interpreting data. Data represent the outer context of service systems and the inner context of organizations such that the data are often nested and hierarchical in nature. This chapter highlights the previously mentioned topics, particularly as they relate to currently funded implementation studies focused on the cancer control continuum.

Sign in / Sign up

Export Citation Format

Share Document