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Evidence-based clinical practice

This class was created by Brainscape user Karolina Green. Visit their profile to learn more about the creator.

By: Karolina Green
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Decks in this class (6)

Lecture 1: General Linear Model
What are the assumptions of a t test,
Why is there a translational prob...,
How does the t distribution chang...
33  cards
Lecture 2: Effect sizes and a-priori power analyses
What is the main limitation of st...,
What are effect sizes,
What is cohen s d
23  cards
Lecture 3: T-test, one way ANCOVA and mixed ANOVA
• Understanding that differences between groups can be tested with both regression analysis and ANOVA. • Understanding in which cases controlling for a covariate (ANCOVA) is the appropriate method. • Understanding in which cases a mixed ANOVA is the appropriate method and which follow-up analyses are required. • Being able to perform the above methods in SPSS, interpret its results, and to report them.
18  cards
Lecture 4: Linear and logistic regression
• Gaining further insight into setting up a General Linear Model (GLM) and giving an interpretation of its parameters. • Explain for which cases linear or logistic regression is the appropriate method to answer a research question. • Explain the similarities and differences between linear rand logistic regression. • Perform these methods in SPSS, interpret the results, and report them.
29  cards
Lecture 5: Moderation and mediation analysis
Gaining further insight into setting up a General Linear Model (GLM) and giving an interpretation of its parameters. Being able to explain for which cases moderation analysis or mediation analysis is an appropriate method to answer a research question. Being able to identify what is important in a research design for mediation analysis. Perform both methods in SPSS, interpret the results, and report them.
28  cards
Lecture 6: Meta-analysis, meta-regression and limitations of meta-analyses
• Being able to explain the advantages of a meta-analysis compared to a narrative review. • Being able to explain the difference between fixed-effect and random-effect meta-analysis. • Being able to perform a simple fixed- and random-effect meta-analysis and to report and interpret the results. • Being able to interpret a meta-analysis article. • Being able to interpret the results of a meta-regression. • Explain the limitations of meta-analysis.
13  cards

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Evidence-based clinical practice

  • Class purpose General learning

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