Chapter 3: The Measurement of Behaviour Flashcards

1
Q

Psychometrics

A

The study of psychological measurement.

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

Converging Operations

A

Measuring a construct in several different ways (e.g. combining observational, physiological, and self-report measures).

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

Nominal Scale

A

Numbers assigned are simply labels for characteristics or behaviour (e.g. Males = 1, Females = 2).

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

Ordinal Scale

A

The rank ordering of people’s behaviours or characteristics (students’ ranking from lowest to highest in a class). An ordinal scale does not tell us the distance between participants on the variable being measured.

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

Interval Scale

A

Equal differences between the numbers reflect equal differences between participants, but there is no true zero point (e.g. scores on an IQ test).

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

Ratio Scale

A

Equal differences between the numbers reflect equal differences between participants, and there is a true zero point (e.g. weight).

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

Observed Score

A

True Score + Measurement Error

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

True Score

A

The score that a participant would have obtained if the measure were perfect and we were able to measure without error.

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

Measurement Error

A

Variability in scores due to factors that distort the true score.

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

Five Sources of Measurement Error

A
  1. Transient States: A temporary, unstable state of the participant (e.g. mood).
  2. Stable Attributes: Enduring traits of the participant (e.g. illiteracy).
  3. Situational Factors (e.g. characteristics of the researcher or research setting).
  4. Characteristics of Measure (e.g. ambiguous wording).
  5. Mistakes in Recording a Participant’s Score
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

Reliability

A

The consistency or dependability of a measuring technique. Usually expressed as a correlation coefficient.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

Correlation Coefficient

A

Expresses the strength of the relationship between two measures.

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

Test-Retest Reliability

A

Consistency of participants’ responses on a measure over time.

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

Interitem Reliability

A

Assesses the degree of consistency among the items on a scale. Tells us whether all of the items on a scale are measuring the same thing. If not, summing scores across the items creates measurement error and lowers reliability.

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

Item-Total Correlation

A

The correlation between a particular item and the sum of all the other items on the scale (ideally > .30).

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

Split-Half Reliability

A

Divide the items on a sccale into two sets and examine the correlation between the sets.

17
Q

Cronbach’s Alpha Coefficient

A

Equivalent to the average of all possible split-half reliabilities (adequate if > .70).

18
Q

Interrater Reliability

A

The consistency among two or more researchers who observe and record participants’ behaviour.

19
Q

How can we increase the reliability of measures?

A
  1. Standardize administration of the measure.
  2. Clarify instructions and questions.
  3. Train observers.
  4. Minimize error in coding data.
20
Q

Validity

A

The degree to which a measurement procedure actually measures what it is intended to measure rather than measuring something else (or nothing other than error).

21
Q

Face Validity

A

The extent to which a measure appears to measure what it’s supposed to measure.

22
Q

Construct Validity

A

The extent to which a measure of a hypothetical construct relates as it should to other measures.

23
Q

Convergent Validity

A

A type of construct validity that assesses the extent to which a measure correlates with other measures that it should correlate with (e.g. embarrassability should be positively associated with shyness but negatively correlated with self-confidence).

24
Q

Discriminant Validity

A

A type of construct validity that assesses whether a measure does not correlate with other measures that it should not correlate with (e.g. embarrassability should not correlate with IQ).

25
Q

Criterion-Related Validity

A

The extent to which a measure allows us to distinguish among participants on the basis of a particular behavioural criterion. Researchers examine whether behavioural outcomes are related to scores on the measure as expected.

26
Q

Concurrent Validity

A

A type of criterion-related validity that assesses the extent to which scores on a measure are related as expected to a criterion that is assessed at the time the measure is administered (e.g. an embarrassability scale administered today predicts blushing in the current situation).

27
Q

Predictive Validity

A

A type of criterion-related validity that assesses the extent to which scores on a measure are related as expected to a criterion that is assessed in the future (e.g. an embarrassability scale administered today predicts whether students sign-up for public speaking classes next semester).

28
Q

Test Bias

A

Occurs when a particular measure is not equally valid for everyone.