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]]. D-Factors are no longer used in [[Algorithm|Algorithm SM-17]]. 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 '''[[Tools menu|Tools]] : [[Tools 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]])
: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 [[Algorithm SM-17]]. 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 '''[[Tools menu|Tools]] : [[Tools 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]])

Revision as of 04:39, 12 September 2016

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 Algorithm SM-17. 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 Tools : 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)