Week 6 Flashcards

1
Q

What is the General Linear Model?

A

Statistical framework showing relationship between 1 dependent variable and multiple independent variables, assuming a linear relationship and that the residuals will be normally distributed

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2
Q

What is the purpose of the General linear model?

A

Assess the strengths and directions of relationships and differences

Assess the strengths, interventions and manipulations

Analyse and Predict relationships between DV and IVs allowing for hypothesis testing and understaning patterns

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3
Q

What is ANOVA

A

Analysis of Variance
All GLM tests analyse variance but ANOVAs are for categorical differences such as different conditions and groups in a study , it looks at the mean differences to see if they are statistcially significant

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4
Q

One way ANOVA? Example?

A

Comapres means of 3 or more groups with1 IV and one continuous outcome(DV)

Which of the 3 diets leads to better weight loss

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5
Q

Factorial (Multi-way) ANOVA? Example?

A

Two or more groups; two or more categorical predictor variables(IVs) and one outcome variable(DV, what the measure is)

Which teaching method (traditional or online) and study time (short or long) causes better test scores.

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6
Q

Repeated measures (within-subjects) ANOVA? Example?

A

One group; two or more categorical predictor variables (IVs), one outcome variable (DV, what is measured)

Measuring effect of medication on blood pressure, before taking, 1 month after and 3 months after.

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7
Q

Mixed ANOVA? Example?

A

Two or more groups; one or more categorical predictor variables(IV)(can be both repeated/within subjects and between subjects -2 levels), one outcome variable (DV, what is measured)

Study how therapy type (cognitive/behavioral) and time (before, after 1 month therapy, after 3 months therapy) affects anxiety levels

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8
Q

ANOVA (t-test)? Example?

A

2 groups, One categorical predictor(IV) , one continuous outcome (DV)

T-test is 2 groups, ANOVA is 3 or more

Comapring test scores between group A and B

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9
Q

What are assumptions in (Repeated measures)ANOVA

A

Observations are independent (different people, times etc)

Variance of different groups or conditions should be equal

Residuals will be normally distributed

Difference between levels of a variable should have equal variance

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10
Q

What is MANOVA? Example?

A

Multivariate analysis of data
Used to determine difference/relationship in multiple outcome variables (DVs) across groups with one ore or more categorical independent variables
(ANOVA only tests 1 DV)

Does students, math, english and science score differ based on their study method of self study, group study etc?

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11
Q

What is logistics regression? Example?

A

Statistical method to determine discrete outcome variables (yes or no) based on one or more IVs

Can we predict whether someone will buy a product based off of their age and income

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12
Q

What is a Post-hoc test?

A

Used in One-way ANOVA after finding significant difference between 3 or more groups/conditions and is used to see which were significantly different from each other

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13
Q

What is an interaction in ANOVA results?

A

An interaction between 2 variables is when the differences in one variable are affected by the differences in another variable

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14
Q

What is ANCOVA? Example?

A

Combines ANOVA and Regression, tests for significant differences in a single dependent variable across groups while controlling effect of one or more continuous variables

Does type of exercise ( aerobic/strength) affect weight loss (DV) after controlling(accounting for) participants age?

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15
Q

What is multivariate regression? example?

A

Multivariate Regression is a statistical technique used to predict or understand the relationship between two or more dependent variables (outcomes) and one or more independent variables (predictors)

Different to multiple as multiple is only 1 DV

How do study hours and teaching style affect students’ performance in math and reading?

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