SWK 606 cumulative review

The average change in DV for a 1 point increase in IV

what is the percentage change for an OR of 1.77?

all IVs should be centered before creating a product variable

simultaneous MR estimates what type of effects?

Which is the mediating variable in the diagram below?

a__relationship isn't 2 variables related by 1 affecting other,but a 3rd variable affects both

the IV affecting the direction and/or strength of relationship between DV and focal variable

If you're interested in understanding why two variables are related: use multiple regression to

model misspecification occurs if common causes are excluded from the model.

tolerance is the amount of variance in an IV accounted for other IVs

Non-normality biases regression coefficients

Leaving out a mediating variable in a regression model will bias results.

Helps clarify the mechanism by which 1 variable causes another

Lagrange multiplier test assess for what?

The image below is a model of:

a scatterplot with predicted values of the DV on X axis and residuals on Y axis checks what?

an intervening variable that in whole or part transmits the effect of 1 variable to another

the natural logarithm of an exposure variable

a histogram of residuals examines what assumption

conversion of IV to z-scores changes all but:

used for detection, strength, and form of curvilinear relationships

increment of variance proportion in DV accounted for by 1 or more IVs beyond  already estimated

Centering IV will change which of these:

Statistical analyses used to rule out alternative causal explanations is____control.

means that the variance equals the mean

the test statistic for the B and beta hypothesis test will be identical.

sum of the direct effect and all indirect effects of 1 variable on another

you want to find an interaction effect in ANCOVA

the amount of variance in DV accounted for jointly and non-redundantly by IVs

The effect of one variable is different depending on the value of another variable:

average change in the DV in SD units for a 1SD increase in the IV when controlling for other IV

Name 3 ways to enter IVs into a regression model:

ANCOVA controls for covariates

The amount of variance in the DV accounted for jointly & non-redundantly by IVs

unreliability in what variable can lead to a reduction in statistical power

sequential MR estimates what type of effects

Opportunity for event to occur.

Using random assignment to rule out alternative causal explanations is an example of __control.

when are weighted and unweighted effects codes equal?

unordered, mutually exclusive and exhaustive categories: characteristics of what?

Variable selection is much more important when you are interested in:

IRR value is equivalent to_______on the output.

The average change in SD units in DV for a 1 SD increase in the IV

What is the % of change for and IRR of 1.474

sum of direct effect and all indirect effects of 1 variable on another

Which model specification errors are most problematic

It is the primary moderator of interest

quantifies the direction & strength of relationship between IVs and a count DV

what is a way a researcher can identify common causes?

The relationship between linear predictor and logits is:

The average change in the DV is different depending on the level of the IV

What is not a benefit of ANCOVA

the effect of 1 variable on another without an intervening influence of any other variables

Multiple regression is used with ___DV & ___IVs of any level of measurement.

interaction effects are also known as what?

In negative binomial regression an ancillary parameter=0 is overdispersion.

when is unweighted effects coding most useful?

model misspecification can result in an underestimate of the effect of one variable on another

multiple regression can involve categorical, ordinal, continuous, or count DVs

in multiple regression r² and R² are equal

ANOVA & t-test are separate analyses that you'd have to run with multiple regression.