Experimental Methods
Experimental Methods - Related Videos
01:30
Scientific Method & Experimental Design
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2026
The scientific method provides a structured framework for conducting rigorous research and evaluating the reliability of scientific findings. By progressing systematically from observation to analysis and communication, researchers generate evidence that can be critically assessed and replicated. A clear understanding of these steps enables readers to evaluate the validity and strength of the reported conclusions. Observation and Hypothesis Formation Scientific inquiry begins with an...
10:36
Advanced Experimental Methods for Low-temperature Magnetotransport Measurement of Novel Materials
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Cited by 2 •
2016
We describe the methodology of mechanical exfoliation and deposition of flakes of novel materials with micron-sized dimensions onto substrate, fabrication of experimental device structures for transport experimentation, and the magnetotransport measurement in a dry helium close-cycle cryostat at temperatures down to 0.300 K and magnetic fields up to 12 T.
08:12
Experimental Methods to Study Human Postural Control
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Cited by 25 •
2019
This article presents an experimental/analytic framework to study human postural control. The protocol provides step-by-step procedures for performing standing experiments, measuring body kinematics and kinetics signals, and analyzing the results to provide insight into the mechanisms underlying human postural control.
11:02
Methods for Experimental Manipulations after Optic Nerve Transection in the Mammalian CNS
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Cited by 10 •
2011
Optic Nerve transection is a widely used model of adult CNS injury. This model is ideal for performing a number of experimental manipulations that target the retina globally or directly target the injured neuronal population of retinal ganglion cells.
11:45
Experimental Methods for Trapping Ions Using Microfabricated Surface Ion Traps
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Cited by 19 •
2017
This paper presents a microfabrication methodology for surface ion traps, as well as a detailed experimental procedure for trapping ytterbium ions in a room-temperature environment.
FAQs
Random assignment distributes participants across experimental and control conditions by chance rather than according to preexisting characteristics. This reduces the likelihood that group differences unrelated to the manipulation will explain the outcome. In psychology, the resulting comparison helps investigators judge whether a change in cognition, emotion, behavior, learning, or social interaction is associated with the condition itself.
A control condition provides a baseline against which researchers can compare participants exposed to the experimental condition. If the groups differ in their measured outcomes, that contrast offers evidence about the manipulation’s contribution rather than merely describing change in one group. This design is especially useful when many influences could affect behavior or psychological responses.
The independent variable identifies the condition researchers deliberately vary, while the dependent variable records the resulting psychological outcome. Keeping these roles distinct allows investigators to connect a planned change with a measurable response. For example, the approach can examine whether an altered condition corresponds with differences in cognition, emotion, behavior, learning, or social interaction.
Standardized procedures keep instructions, conditions, and measurements as consistent as possible across participants and groups. Consistency limits the influence of procedural differences that could otherwise become confounds, meaning alternative explanations for an observed result. It also makes findings easier to interpret because outcome differences can be considered alongside the intended manipulation rather than uncontrolled variations in implementation.
A typical workflow begins by varying an independent variable and assigning participants to experimental or control conditions, commonly through randomization. Researchers then apply standardized procedures, measure a dependent variable, and analyze the resulting data statistically. Together, these stages create a structured comparison that can test whether the manipulation produced an observed change.
Researchers compare measured outcomes across the conditions and use statistical analysis to evaluate whether the observed difference is consistent with an effect of the manipulation. Because the design controls conditions and potential confounds, it can provide stronger evidence about causation than a correlation alone. The interpretation still depends on the measured outcome and the study’s procedures.
These methods are useful when researchers need to evaluate psychological theories, distinguish causal relationships from correlations, or assess whether an intervention changes an outcome. Applications span clinical, educational, developmental, and applied settings, as well as research on cognition, emotion, behavior, learning, and social interaction. Their results can guide both scientific explanation and practical decision-making.