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Crash course statistics. Fitting models is like Tetris.

Today we're going to wrap up our discussion of General Linear Models (or GLMs) by taking a closer looking at two final common models: ANCOVA (Analysis of Covariance) and RMA (Repeated Measures ANOVA). We'll show you how additional variables, known has covariates can be used to reduce error...

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Bibliographic Details
Format: Video
Language:English
Language Notes:In English.
Published: [Place of publication not identified] : Crash Course Statistics, 2018.
Series:Academic Video Online
Subjects:
Statistics > Study and teaching.
Statistics.
Mathematical models.
Statistique > Étude et enseignement.
Statistique.
Mathematical models
Statistics
Statistics > Study and teaching
Educational films
Short films
Educational films.
Short films.
Films éducatifs.
Courts métrages.
Online Access:Connect to this streaming video (Alexander Street Press)
Description
Summary:Today we're going to wrap up our discussion of General Linear Models (or GLMs) by taking a closer looking at two final common models: ANCOVA (Analysis of Covariance) and RMA (Repeated Measures ANOVA). We'll show you how additional variables, known has covariates can be used to reduce error, and show you how to tell if there's a difference between 2 or more groups or conditions. Between Regression, ANOVA, ANCOVA, and RMA you should have the tools necessary to better analyze both categorical and continuous data.
Item Description:Title from resource description page (viewed April 5, 2022).
Physical Description:1 online resource (11 minutes)
Playing Time:00:10:28