Glossary:D-Factor: Difference between revisions
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;<span id="D-Factor">D-Factor</span> | ;<span id="D-Factor">D-Factor</span> | ||
:decline of [[Glossary:O-Factor|O-Factors]] with successive [[Glossary:Repetition|repetitions]] can be approximated with a power curve that begins at O-Factor that equals [[Glossary:A-Factor|A-Factor]]. When a power regression is used to compute [[Glossary:O-Factor|O-Factors]] on the basis of [[Glossary:R-Factor|R-Factors]] for successive [[Glossary:Repetition|repetitions]] in a single A-Factor category, the decay constant of the resulting function is called a '''D-Factor'''. You can see individual '''D-Factors''' for all [[Glossary:A-Factor|A-Factors]] in '''[[ | :decline of [[Glossary:O-Factor|O-Factors]] with successive [[Glossary:Repetition|repetitions]] can be approximated with a power curve that begins at O-Factor that equals [[Glossary:A-Factor|A-Factor]]. D-Factors are no longer used in [[SuperMemo Algorithm]]. When a power regression is used to compute [[Glossary:O-Factor|O-Factors]] on the basis of [[Glossary:R-Factor|R-Factors]] for successive [[Glossary:Repetition|repetitions]] in a single A-Factor category, the decay constant of the resulting function is called a '''D-Factor'''. You can see individual '''D-Factors''' for all [[Glossary:A-Factor|A-Factors]] in '''[[Toolkit menu|Toolkit]] : [[Toolkit menu#Statistics|Statistics]] : [[Analysis]] : [[Analysis#Graphs|Graphs]] : D-Factor vs. A-Factor'''. The larger the '''D-Factor''' the faster the decline of [[Glossary:O-Factor|O-Factors]] with each [[Glossary:Repetition|repetition]]. This means that large '''D-Factors''' imply more frequent [[Glossary:Repetition|repetitions]] in a given difficulty category. Naturally, over time, '''D-Factors''' tend to be lower for easy item categories (unless [[Glossary:O-Factor|O-Factors]] hit their minimum value of 1.2 for very difficult [[Glossary:Item|items]]). ''D'' in D-Factor stands for ''decay'' (it is a decay constant of the negative power function) | ||
Latest revision as of 13:07, 6 March 2019
- D-Factor
- decline of O-Factors with successive repetitions can be approximated with a power curve that begins at O-Factor that equals A-Factor. D-Factors are no longer used in SuperMemo Algorithm. When a power regression is used to compute O-Factors on the basis of R-Factors for successive repetitions in a single A-Factor category, the decay constant of the resulting function is called a D-Factor. You can see individual D-Factors for all A-Factors in Toolkit : Statistics : Analysis : Graphs : D-Factor vs. A-Factor. The larger the D-Factor the faster the decline of O-Factors with each repetition. This means that large D-Factors imply more frequent repetitions in a given difficulty category. Naturally, over time, D-Factors tend to be lower for easy item categories (unless O-Factors hit their minimum value of 1.2 for very difficult items). D in D-Factor stands for decay (it is a decay constant of the negative power function)