random questions

Question 1

What’s an f-value

Answer 1

A large F ratio means that the variation among group means is more than you’d expect to see by chance.

variation between sample means / variation within the samples
If the variation between the sample means is high relative to the variation within each of the samples, then the F-value will be large
F > 2.5 then we can reject the null hypothesis

Question 2

three stages of factor analysis

Answer 2

1. extraction
2. rotation
3. interpretation

Question 3

what’s factor loading

Answer 3

the effect of the latent variable on the observed variable.
High factor loadings signify that the indicator is effectively capturing the construct we are interested in
closer to 1 the better.
high factor loading-indicator is effectively capturing the construct we are interested in.
0.6 is desirable
0.3 is acceptable

Question 4

whats the assumption of an ANCOVA

Answer 4

multicollinearity
linearity
homogeneity of regression slopes

Question 5

whats internal validity

Answer 5

the degree of confidence that the causal relationship you are testing is not influenced by other factors or variables

Question 6

what are type 1 errors

Answer 6

false positives

Question 7

what are type 2 errors

Answer 7

false negatives

Question 8

extraction

Answer 8

process of determining how many factors best explain the observed covariation matrix within the data set

Question 9

What is logistic regression

Answer 9

Estimates the probability of an outcome or event occurring based on a set of predictor variables (independent variables)

Question 10

What is factor analysis

Answer 10

Technique to reduce a large number of observed variables to a smaller number of latent variables.
for measurement error- factor loading( closer to 1 means variance is due to observed variable more so than latent variable