Vocabulary Flashcards

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

Consequentialism

A

Argues that rightness or wrongness depends on consequences or outcomes of behaviours. So, in simple terms, the end justifies the means. These outcomes can be very broad, for example, freedom, equality of opportunity and so on.

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

Deontology

A

Argues that some things are right and wrong in themselves regardless of the outcome. It is this perspective that leads to the production of rules and rule-following behaviour. For example, is it good to be kind even if the outcome is rather cruel?

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

Causal

A

whether one thing causes a change in another thing

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

Correlational

A

Whether two or more things change in relation to each other

It is important that the conclusions you draw from correlation studies do not make claims about causal relationships.

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

Operationalisation

A

The process of turning an abstract idea into a measurable concept

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

Social Facilitation

A
  1. How individual performance is impacted by the presence of others.
  2. The tendency of people to perform better on a simple task when they are in the presence of others.
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

Nominal level

A

Definition: Measurement involves naming an attribute of the participants or their responses.
Example: This is when you have categories or classifications; for example, gender or group membership.

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

Ordinal level

A

Definition: Measurement is on a scale that allows data to be put in an order (or ranked) but where the differences between adjacent points on the scale are not equivalent.
Example:
Low/Medium/High
Agree/Neither agree nor disagree/Disagree
Never/Rarely/Sometimes/Often/Always.

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

Interval level

A

Definition: Measurement is on a scale where the difference or intervals between adjacent points are the same or standardised.
Example: Temperature provides interval data. An increase of one degree represents the same underlying amount of heat, regardless of where it occurs on the scale (e.g. between 2º–3º, 15º–16º or 30º–31º).

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

fMRI

Book1, Chap. 4, p. 142

A

functional magnetic resonance imaging

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

Electroencephalography (EEG)

Book1, Chap. 4, p. 142

A

A technique used to explore brain activity by measuring electrical fluctuations along the scalp that arise as a result of neural processes

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

Salience

online definition

A

The term salient refers to anything (person, behavior, trait, etc.) that is prominent, conspicuous, or otherwise noticeable compared with its surroundings. Salience is usually produced by novelty or unexpectedness, but can also be brought about by shifting one’s attention to that feature.

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

Inferential Statistics

Week 5 methods and skills

A

Statistical tests that permit inferences to be made and conclusions to be drawn from quantitative data generated by research

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

Descriptive Statistics

week 4, Methods and skills

A

These are used to describe features of a data set; for example, the mean and the standard deviation.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q
Experimental Design (Study)
(Week 5, Methods and skills)
A

A type of research design that systematically manipulates one or more variables to see whether this impacts another variable. This allows researchers to establish cause and effect.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q
Correlational Design (Study)
(Week 5, methods and skills)
A

A type of research design that looks at the relationship (or association) between naturally-occurring variables, without making statements about cause and effect.

17
Q

Confounding Variables

Week 5, methods and skills

A

A variable that is not controlled by the researcher but that can affect the results.

18
Q

Research or Experimental Hypothesis

Week 5, methods and skills

A

The prediction made by researchers when they speculate about the probable outcome of their research.

19
Q

One-tailed Hypothesis

week 5, methods and skills

A

A one-tailed hypothesis predicts the direction of the relationship between two variables or groups.

20
Q

Two-tailed Hypothesis

Week 5, Methods and skills

A

A two-tailed hypothesis predicts a difference between groups (or a relationship between variables), but it makes no reference to the direction of the effect.

21
Q

Generalisability

week 5, methods and skills

A

The extent to which research findings can be applied to people or settings beyond those included in the original study.

22
Q

Null Hypothesis

week 5, methods and skills

A

The opposite of your research hypothesis. It predicts that there will be no significant effect or relationship between your variables.

23
Q

Standard Error

week 5, methods and skills

A

The standard deviation of the sampling distribution. It gives an estimate of the variability of in different samples that can be drawn from the same population.

24
Q

Standard Error Formula

Week 5, methods and skills

A

The standard error (SE) can be calculated by dividing the standard deviation (SD) of a sample by the square root of the sample size (n):

SE = SD / √n