Week 2: Standardisation Flashcards

(35 cards)

1
Q

Choose two methods of measuring behaviour and/or psychological traits/states. Outline the advantages and disadvantages of each.

A

Two methods of measuring behaviour/traits/states are using observational measures and questionnaires/interviews. The advantages of using observational measures include, it measuring actual behaviour/detailed information, and the fact that those being measured are unaware they are being monitored (less opportunity to change behaviour). The disadvantages include the level of detail of information can be limited depending on the experimental procedure and design, and that experimental control can be difficult. The advantages of questionnaires/interviews include very good experimental control, having detailed information collected easily, and it being both an easy and cheap method for collecting large samples of data. The disadvantages include it needing to be validated, it can be harder to use dynamic, complex stimuli, and that it sometimes relies on participant insight and honesty (which isn’t really reliable – for example self-reporting).

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

Define psychometrics and psychological test.

A

Psychometrics is the science of psychological measurement. Psychological tests are a measuring device or procedure designed to measure psychology-related variables.

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

Describe different categories of psychological test, giving examples of each.

A

There are two main categories of psychological tests – personality-type tests and ability tests. Personality-type tests are tests with no correct answer – there is no definitive correct answer. Ability tests are measuring actual ability, whether it can be done or not. Ability tests can be further split into achievement tests – tests of previous learning (e.g. educational tests) – and aptitude tests – tests of general ability and potential for learning (e.g. IQ tests).

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

Where at UQ can you find more information about psychological and educational tests specifically (full URL not required)?

A

The UQ library website – they have pages about tests.

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

Describe how you might go about finding information on a particular psychological test.

A

Through the Mental Measurements Yearbook.

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

List five sources of information on psychological tests.

A

ETS test collection, books about individual tests or textbooks on psychological testing (through UQ library), academic journals, or publishers catalogues.

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

What’s the point of standardising a score?

A

To help us interpret a score. Raw scores are difficult to interpret and compare.

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

Give an example of a situation where it would be useful to standardise a score.

A

Height – height for a baby v adult would be different -> need to standardise to compare

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

What is age norming?

A

Age norming is when a sample of people come from a certain age group (e.g. sample of 3-year olds).

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

Give three examples of typical populations we might use as the basis of standardisation samples for psychological tests.

A

University students, drivers, school students

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

What’s the advantage of having a big standardisation sample?

A

Bigger samples give a more accurate representation of the population and are more stable (less affected by sampling error).

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

What’s the Law of Large Numbers?

A

The Law of Large Numbers is the fact that as a sample size grows, its mean gets closer to the true average of the population.

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

Give some examples of the sort of populations that could make up a standardisation sample under different contexts.

A

Mental health in Aboriginal and Torres Strait Islander peoples – sample made up of Aboriginal and Torres Straight Islander peoples. Loneliness levels in uni students – sample made up of uni students. New therapy targeting bipolar I – sample consisting of diagnosed bipolar I.

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

Discuss the issues we might need to consider when recruiting a standardisation sample.

A

What the context is of the design, if random sampling is able to be done correctly.

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

What is “stratified sampling” and when might we want to use it?

A

Stratified sampling is where you deliberately recruit to get particular ratios of subgroups. It may be wanted to be used when achieving true random sampling is difficult.

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

What strategies could you use to get a representative sample?

A

Random sampling or stratified sampling (if random sampling is difficult).

17
Q

How do you calculate a z score in Microsoft Excel?

A

(Raw score – AVERAGE) / STDEV

18
Q

How do you calculate a percentile rank in Microsoft Excel?

A

PERCENTRANK function

19
Q

What are the advantages and disadvantages of using percentile ranks?

A

The advantages are that it is easy to understand for laypeople, and it is easy to calculate. The disadvantages include the confusion between percentile rank and percentage correct, and that percentile ranks have a non-linear relationship with raw scores (differences between percentile ranks may have different interpretations depending on where you are on the scale.

20
Q

How do you calculate a T score in Microsoft Excel?

A

Calculate z score first, then multiple z score by 10, and add 50.

21
Q

An adult completes an intelligence test and their raw score is converted into a z score of -1. If their raw score were instead converted into an IQ score, what would it be?

22
Q

How do you calculate an IQ score in Microsoft Excel?

A

Calculate z score, and then multiple the z score by 15 and add 100

23
Q

If a child scores 7 on an age-normed test that uses a stanine scale (where higher scores = better reading), then what does this mean?

A

The child would be in the 78-89 percentile rank, with 12% of people in their stanine.

24
Q

What are the properties of the stanine scale?

A

Stanine scales have 9 divisions, each based on .5 SD wide.

25
How could you assign stanines easily in Microsoft Excel when you have hundreds of people in your sample?
Compute the percentile rank. Then select the data and sort by percentile rank. Stanines in order can then be entered manually.
26
True or False: Previous learning can be described as aptitude.
False – previous learning can be described as achievement
27
True or False: Aptitude and achievement tests are both types of personality test.
False – they are types of ability tests
28
True or False: In a normal distribution, percentile bands occupy a smaller range of raw scores closer to the mean.
True – more people stacked up on each other -> more people with same scores, therefore each percentile band of people take up less space
28
True or False: The raw score is the score that is yielded by a test before standardisation.
True
29
True or False: In psychology, we generally need a normative sample in order to standardise raw scores.
True
30
True or False: If we assume a normal distribution, then the number of people between the 50th and 55th percentile rank is the same as between the 90th and 95th percentile rank.
True – in both cases it is 5% of people
31
True or False: If I convert the scores from two variables into T scores, then the magnitude of the Pearson correlation between the two variables will change.
False – T scores are a linear transformation, and do not affect the outcome of statistics such as correlations and t-tests
32
True or False: A nine-year-old boy completes a test of reading comprehension and his raw score is converted into a z score of +0.95 compared with other children his own age (where a higher score = better comprehension). This means he is performing within the middle 68% of children his age, assuming a normal distribution.
True
33
True or False: The number of people from a representative standardisation sample who would score 6 on a test using a stanine scale will be the same as the number of people scoring 8.
False
34
True or False: