Session 11 Quizziz

Session 11 Quizziz

University

10 Qs

quiz-placeholder

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Session 11 Quizziz

Session 11 Quizziz

Assessment

Quiz

Health Sciences

University

Medium

Created by

Julia Rossi

Used 1+ times

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10 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Fill in the blank: The ____ will always be the exposure to the intervention -- with 2 levels or sometimes 3.

Primary IV

Dependent Variable (Outcome)

Covariate: Baseline outcome level

Covariates identified in prep analyses

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

To minimize confounding, researchers include the ____ as a covariate, even though it is not interpreted.

Covariates identified in prep analyses

Baseline level of the outcome

Primary IV

Dependent Variable (Outcome)

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Fill in the blank: The ____ is the knowledge, attitude, or behavior we are interested in.  It is ALWAYS the post-intervention measure.  There can only be ONE in each model.

Covariate: Baseline outcome level

Covariates identified in prep analyses

Primary IV

Dependent Variable (Outcome)

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Fill in the blank: You should include as independent variables in your model any characteristic variables that were found to be statistically significantly different between the intervention and comparison groups in your prep analyses. These are referred to as: ____.

Primary IV

Dependent Variable (Outcome)

Covariate: Baseline outcome level

Covariates identified in prep analyses

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In ordinary least squares (OLS) regression, R-squared is about...

About the whole model. The % variability in DV explained by the IVs.

Not about the whole model. There is one for each IV in the model, null hypothesis is B=0

About the whole model. H0: taken together, all IVs explain none of the DV variability

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In ordinary least squares (OLS) regression, the t-test is about...

About the whole model. The % variability in DV explained by the IVs.

About the whole model. Ho: taken together, all IVs explain none of the DV variability.

Not about the whole model. There is one for each IV in the model, null hypothesis is B=0.

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In ordinary least squares (OLS) regression, the F-statistic is about...

About the whole model. The % variability in DV explained by the IVs.

About the whole model. Ho: taken together, all IVs explain none of the DV variability.

Not about the whole model. There is one for each IV in the model, null hypothesis is B=0

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