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Psychological statistics is application of formulas, theorems, numbers and laws to psychology. Statistical methods for psychology include development and application statistical theory and methods for modeling psychological data. These methods include psychometrics, factor analysis, experimental designs, and Bayesian statistics. The article ...
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Audience effect; Baader–Meinhof effect; Barnum effect; Bezold effect; Birthday-number effect; Boomerang effect; Bouba/kiki effect; Bystander effect; Cheerleader effect; Cinderella effect; Cocktail party effect; Contrast effect; Coolidge effect; Crespi effect; Cross-race effect; Curse of knowledge; Diderot effect; Dunning–Kruger effect ...
An orographic map of Eastern Siberia from 1875 by Peter Kropotkin. Orography is the study of the topographic relief of mountains, [1] and can more broadly include hills, and any part of a region's elevated terrain. [2] Orography (also known as oreography, orology, or oreology) falls within the broader discipline of geomorphology. [3]
Causal analysis is the field of experimental design and statistics pertaining to establishing cause and effect. [1] Typically it involves establishing four elements: correlation, sequence in time (that is, causes must occur before their proposed effect), a plausible physical or information-theoretical mechanism for an observed effect to follow from a possible cause, and eliminating the ...
Orographic or relief rainfall is caused when masses of air are forced up the side of elevated land formations, such as large mountains or plateaus (often referred to as an upslope effect). The lift of the air up the side of the mountain results in adiabatic cooling with altitude, and ultimately condensation and precipitation.
Expository writing is a type of writing where the purpose is to explain or inform the audience about a topic. [13] It is considered one of the four most common rhetorical modes. [14] The purpose of expository writing is to explain and analyze information by presenting an idea, relevant evidence, and appropriate discussion.
In statistics, a floor effect (also known as a basement effect) arises when a data-gathering instrument has a lower limit to the data values it can reliably specify. [1] This lower limit is known as the "floor". [2] The "floor effect" is one type of scale attenuation effect; [3] the other scale attenuation effect is the "ceiling effect".