Lecture 1 Flashcards

1
Q

How psychological tests differ

A
  1. Content
  2. Response required
  3. Method of administration (group, individual)
  4. Use (Criterion or norm)
  5. Timing (power vs speed)
  6. Meaning of indicators (reflective vs formative)
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

Reflective measurment

A

Construct is assumed to cause differences in test scores. Item responses are indicators of the construct.
Items are necessarily correlated.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

Formative measurement

A

Item responses define the construct. Items not necessarily correlated

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

Challenges in Psychological research

A
  1. Complexity
  2. Reactivity
  3. Observer bias
  4. Composite scores
  5. Sensitivity
  6. Awareness about the test
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

Factor analysis

A

A statistical method to study dimensionality of a test

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

Steps in exploratory factor analysis

A
  1. Correlation matrix
  2. Check Eigenvalues
  3. Select number of factors
  4. Interpret factors
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

Orthogonal rotation results in

A

Rotated factor matrix
Factors are uncorrelated

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

Oblique rotation results in

A

Pattern matrix
Structure matrix
Factors are correlated

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

Pattern matrix

A

Factor loadings controlled for the correlation between the factors (best interpretable)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

Structure matrix

A

Correlation between item and factor (more difficult to interpret)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

Characteristics of covariance

A
  1. It doesn’t convey magnitude
  2. It is a measure of linear association
  3. Gives info on the direction of the association
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

When to use normalization transformation to obtain normalized scores

A

When raw test scores are not normally distributed

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

Assumption for linking z scores to percentile rank

A

Individual differences have to be normally distributed

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

Why eigenvalue-greater-than-one rule is bad

A

Likely overestimating the number of factors

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

For what test is it meaningful to compute total test score

A

Multi-dimensional with higher order factor

How well did you know this?
1
Not at all
2
3
4
5
Perfectly