Week 2 Flashcards

You may prefer our related Brainscape-certified flashcards:
1
Q

In a study, what are yes/no responses influenced by?

A

bias and
sensitivity

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

how do you measure test sensitivity?

A

calculate d prime (d’)

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

What statistical information is d prime based on?

A

the z-scores of the
proportion of “yes” responses

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

why do we trim data?

A

to remove outliers

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

what is a tests power?

A

the likelihood that the test will produce a statistically significant result

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

Power is a function of which factors?

A
  1. the significance criterion (p-value)
  2. the sample size
  3. the population effect size
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

Can any given test have more than one power value?

A

yes - power is computed for a potential population effect

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

what is observed power?

A

the power of a test assuming the population effect size = observed current sample’s effect size

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

Why is calculating the observed power not useful?

A

Because if we find insignificant results, the power will be low

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

when are post hoc power analyses useful?

A

when they are based on population effect size of independent interest

meaning, if your estimated power is lower than that of other literature on the topic, you can use the power referenced in that literature

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

Whay conclusions can you not make if your analysis finds a nonsignificant result?

A
  • the population effect size = 0
  • null hypothesis = true
  • larger N =significant result
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

What is the implicit association test (IAT)?

A

a measure of implicit attitudes

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

The association between which measures is assessed in the IAT?

A

the association between target-concept discrimination and attitude discrimination

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

explain the 5 steps of the IAT

A
  1. initial target-concept discrimination
  2. initial attribute discrimination
  3. initial combinedtask
  4. reversed target-concept discrimination
  5. reversed combined task
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

how do you measure an IAT effect?

A

noncompatible task RT - compatible task RT

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

What was the main conclusion in Greenwad et al.’s article (1998) regarding the IAT?

A

that the IAT might be more resistant to self-presentational factors than explicit attitude measures

17
Q

what is an effect?

A

the difference between two levels of an independent variable