Signal Change Measurement
Signal Change Measurement - Related Videos
08:04
Measuring Sensitivity to Viewpoint Change with and without Stereoscopic Cues
0 Views •
Cited by 1 •
2013
We discuss a novel method forviewpoint-rotation of visual stimuli, and demonstrate using a mirror stereoscopethe three-dimensional percept of rotation-in-depth. The technique can be used to investigate the role of stereoscopic cues in encoding viewpoint-rotated figures.
03:13
Lymphedema Ultrasonography: A Technique to Measure the Change in Thickness of an Affected Tissue
0 Views •
2023
This video utilizes ultrasonography for diagnosis and follow-up tests to determine treatment efficacy of Progressive Resistance Exercise (PRE) in breast cancer-related lymphedema (BCRL). Ultrasonography can be applied effectively to ensure diagnosis and treatment of lymphedema.
08:14
Climate Change - Student Protocol
0 Views •
2019
Melting Land and Sea Ice ExpandNOTE: This activity is a simulation of land- and sea-ice melting and their effects on water levels. First, label one graduated cylinder as 'Sea Ice' and the other graduated cylinder as 'Land Ice.' Hypotheses: the experimental hypothesis might be that the land ice melting will cause the water level to rise more than the melting sea ice. The null hypothesis would be that there will be no difference in the change in water level between the two containers. Add 10 ice...
04:34
Climate Change - Concepts
0 Views •
2019
The certainty of climate change remains a public controversy despite the consensus among approximately 97% of active climate researchers, who not only agree that the Earth’s climate is changing but also state that this change is intensified by human activity, predominantly carbon emissions 1. The disconnect between the public and the experts is partly due to poor understanding of the mechanisms involved in climate change as well as the differences among essential concepts such as weather and...
09:19
Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging
0 Views •
Cited by 2 •
2025
This protocol covers a four-step large-area imaging survey methodology used to extract metrics of structural complexity, community composition, and population demographics for coral reef communities. The quality of imagery collected and integrated access to the source imagery are prioritized within each step of the protocol.
FAQs
Meaningful responses are identified through comparison, not from a single unusual reading. Researchers first establish a baseline, then examine how the signal differs under defined conditions. Accounting for noise and measurement variability helps separate changes associated with the condition from fluctuations that may occur even when the relevant psychological process has not changed.
Signal size is only one possible feature of a change. Magnitude indicates how much the signal differs, while timing, frequency, and pattern describe when it occurs, how often it varies, and how its structure unfolds. Examining these dimensions can produce a more informative account of responses than relying on signal size alone.
Noise and measurement variability can obscure or imitate a meaningful response. Their influence matters because observed differences may reflect the measurement process rather than the condition being studied. Treating these factors explicitly improves reliability and supports more cautious links between a measured signal and a psychological process.
A typical workflow begins by establishing a baseline, followed by signal collection under defined conditions. Researchers then compare the resulting values or patterns across conditions, time points, or individuals. Interpretation requires attention to noise and measurement variability, so the final comparison reflects the quality and limits of the measurement rather than an isolated observation.
Researchers can compare changes in magnitude, timing, frequency, or pattern across individuals and conditions. These comparisons help determine whether responses differ between participants, situations, or time periods. The approach is useful when a study needs to connect measurable variation with a hypothesized psychological response rather than simply describe one observation.
Psychologists can apply it to behavioral performance, brain activity, and physiological responses when studying attention, emotion, learning, or responses to interventions. The resulting comparisons support hypothesis testing and help relate observable signals to psychological processes. In clinical contexts, reliable measurement also strengthens interpretation of experimental and clinical outcomes.