Experimental Methodology
Experimental Methodology - Related Videos
01:35
Introduction to New Approach Methodologies (NAMs)
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2026
All animal procedures described here must be conducted in accordance with institutional animal ethics guidelines and approved by IACUC. All procedures must follow the principles of the 3Rs—Replacement, Reduction, and Refinement—and must be performed by trained personnel. New approach methodologies (NAMs) are innovative scientific approaches that generate biological data while reducing reliance on traditional vertebrate animal models. As part of the broader effort to implement the principles of...
10:31
An Experimental Model of Diet-Induced Metabolic Syndrome in Rabbit: Methodological Considerations, Development, and Assessment
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Cited by 12 •
2018
We describe methods to develop an experimental model of diet-induced metabolic syndrome (MetS) in rabbits using a high-fat, high-sucrose diet. Animals developed central obesity, mild hypertension, pre-diabetes, and dyslipidemia, thus reproducing the main components of human MetS. This chronic model will allow acquisition of knowledge underlying mechanisms of disease progression.
10:29
Experimental Methodology for Estimation of Local Heat Fluxes and Burning Rates in Steady Laminar Boundary Layer Diffusion Flames
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Cited by 14 •
2016
We describe the use of micro-thermocouples to estimate local temperature gradients in steady laminar boundary layer diffusion flames. By extension of the Reynolds Analogy, local temperature gradients can be further used to estimate the local mass burning rates and heat fluxes in such flames with high accuracy.
07:07
Synthetic Methodology for Asymmetric Ferrocene Derived Bio-conjugate Systems via Solid Phase Resin-based Methodology
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Cited by 2 •
2015
The synthesis of asymmetric species of ferrocene is challenging using solution techniques. This report focuses on the methods carried out to produce a ferrocene-biotin bioconjugate using facile and clean reactions accomplished via solid-phase synthesis. Incorporation of a thiolate moiety is shown to impart the ability for immobilization on gold surfaces.
08:05
Multiplexed Fluorometric ImmunoAssay Testing Methodology and Troubleshooting
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Cited by 19 •
2011
Using Luminex Corporation’s xMAP microsphere technology, we have developed the Multiplexed Fluorometric ImmunoAssay (MFIA) for serosurveillance of various laboratory animal species. The MFIA is a suspension microarray where antigen, tissue control or immunoglobulins are covalently linked to color-coded polystyrene microspheres. The MFIA testing method as well as various troubleshooting topics is addressed.
FAQs
Random assignment helps distribute participant characteristics across comparison groups, reducing the influence of potential confounding factors. This makes differences in the dependent variable more plausibly attributable to the manipulated independent variable rather than to preexisting group differences. As a result, psychologists can evaluate causal relationships more convincingly in studies of learning, memory, perception, emotion, and social behavior.
Standardized instructions keep the study experience consistent across participants and conditions. When researchers deliver procedures in the same way, differences in outcomes are less likely to reflect variations in explanation or researcher interaction. This control supports reliable measurement and improves the validity and reproducibility of conclusions drawn from psychological experiments.
Reliable measurement produces results that consistently represent the dependent variable, while appropriate statistical analysis helps researchers evaluate patterns in the collected evidence. Together, they strengthen the validity of an experiment and support more defensible conclusions about a hypothesis. These practices also improve reproducibility, allowing findings to contribute more effectively to psychological theory development.
A typical study begins with a hypothesis, followed by deliberate manipulation of an independent variable and measurement of a dependent variable. Researchers then use comparison groups, random assignment, standardized instructions, and controls for potential confounds before analyzing the evidence. This sequence connects the research question to an interpretable test of a proposed causal relationship.
The approach is especially useful when researchers need to test whether changing one factor produces a measurable effect. Psychological experiments can examine questions involving learning, memory, perception, emotion, and social behavior. By controlling relevant conditions and comparing outcomes, investigators can move beyond describing associations and assess causal explanations for observed psychological effects.
Findings from carefully designed psychological experiments can support evidence-based applications in clinical, educational, and organizational settings. Reliable measurements, ethical treatment of participants, controlled procedures, and suitable statistical analysis help determine whether conclusions are sufficiently trustworthy for theory development or practical use. The same framework therefore connects laboratory evidence with decisions about human behavior and performance.