Glossary M

Multiple regression is defined as a statistical procedure in which the scores from more than one criterion-valid test are weighted according predicts to how each test score predicts the criterion. Multiple regression, moreover is a statistical technique used for studying multivariate relationships. The statistical process of finding the linear equation that produces the most accurate predicted values for Y using more than one predictor variable; multivariate data analysis method that considers the relationship between a continuous outcome variable and the linear combination of two or more predictor variables. .

Multiple regression equation refers to the resulting equation from a Multiple regression analysis.

Multiple schedule is defined as a complex schedule consisting of two (2) or more independent schedules presented in sequence, each resulting in reinforcement and each having a distinctive SD.

Multiple sclerosis or MS refers to a disorder in which myelin is replaced by hard fibrous tissue that impedes neural transmission.

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Multiple Sleep Latency Test or MSLT refers to a standardized procedure used to measure daytime sleepiness. During the test, the patient is asked to stay awake for certain lengths of

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Deutsch: Mehrfachzeitreihen-Designs / Español: Diseños de series temporales múltiples / Português: Desenhos de séries temporais múltiplas / Français: Conceptions de séries temporelles multiples / Italiano: Disegni di serie temporali multiple /

Multiple time-series designs refer to the use of more than one set of data that were collected over time, as in accident rates over time in several states or cities, so that comparison can be made.

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Multiple-alternative questions refer to kind of questions written such that the possible response alternatives are restricted.

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Multiple-baseline across behaviors refers to a Multiple-baseline design in which the initial Baseline phases correspond to two (2) separate behaviors for the same participant.

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