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Psychophysics is a branch of psychology that investigates the relationship between physical stimuli and the sensations and perceptions they produce. It uses methods such as threshold measurement, ideal observer analysis, and signal detection theory to analyze perceptual processes and has practical applications in fields such as digital signal processing.
Psychoacoustics is the scientific study of how humans perceive and respond to sound, including noise, speech, and music. Learn about the limits of hearing, sound localization, masking effects, and the interdisciplinary nature of psychoacoustics.
Noise curve is a way to characterize background noise in unoccupied spaces. It produces a single-value rating based on the lowest curve that is not touched by the measured spectrum at any frequency. Learn about different methods and standards for noise curves.
Design of experiments (DOE) is the design of any task that aims to describe and explain the variation of information under conditions that are hypothesized to reflect the variation. DOE involves selecting and planning the delivery of the experiment under statistically optimal conditions, and addressing concerns such as validity, reliability, and replicability.
Sensory threshold is the weakest stimulus that an organism can sense. Learn about different types of sensory thresholds, methods to measure them, and factors that affect them.
Learn about the psychophysical concept of JND, the amount of change in a stimulus that is noticeable at least half the time. Find out how JND varies across sensory modalities, such as sound, light, and touch, and how it affects music, speech, and marketing.
Item response theory (IRT) is a paradigm for designing, analyzing, and scoring tests and questionnaires based on the relationship between individuals' performances and their levels of ability. IRT models the response of each examinee to each item as a function of person and item parameters, such as difficulty, discrimination, and guessing.
Learn how to use instrumental variables (IV) to estimate causal relationships when controlled experiments are not feasible or when a treatment is not successfully delivered to every unit in a randomized experiment. Find out the requirements, examples, history and theory of IV methods in statistics, econometrics and related disciplines.