Week 3: Experimental Designs & Controls Flashcards

1
Q

Experimental research designs

A

Aims to establish cause & effect relationships between IV and DV via manipulation & control.

Relies on randomisation of participants into test conditions.

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

Quasi-experimental research design

A

The same as an experimental research designs by aiming to establish cause and effect relationship between IV and DV.

Key difference: participants are assigned into groups based on non-random criteria.

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

Non-experimental research design

A

Aims to establish a relationship without inferring cause & effect.

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

Naturalistic observation

A

A non-experimental research method where behaviour is observed and recorded in real-world settings.

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

Case Studies

A

And intensive study of an individual subject.

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

Survey research

A

A non-experimental research design which primarily uses surveys as its method for collecting data.

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

Evaluation research

A

A non-experimental research design which examines the effects of intervention (policy or practice)

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

Internal validity

A

how strongly can we assert that changes in our DV are down to our IV and not extraneous variables

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

External Validity

A

how generalisable are our findings - can we relate findings in sample back to population

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

Experimental manipulation of the IV

A

experimenter determines which level of the IV a participant is tested at

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

Individual difference manipulation

A

a characteristic of the participant determines the level of the IV at which they are tested

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

Repeated measures experimental design

A

each participant is tested at each level of the IV

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

Between groups experimental research design

A

each participant is only tested at one level of the IV

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

Mixed experimental research design

A

more than one IV with at least one IV manipulated between groups and at least one within groups

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

Factorial research design

A

Used to manipulate more than one IV at the same time.
Measures the interaction effects between IVs.
Split into main effects and interaction effects.
May include both repeated measures & between groups designs.

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

Separation

A

maximise the variation between groups/levels of the IV

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
17
Q

Compression

A

minimise the variation within groups/levels of the IV

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
18
Q

Self-assignment

A

Participants assign themselves

19
Q

Experimenter assignment

A

Experimenter assigns participants to conditions

20
Q

Arbitrary assignment

A

Participant selection based on seemingly non-relevant criteria.

Potential for bias & confounding variables.

21
Q

Random assignment

A

No criteria for selection
Every member equal chance of being assigned to any group
Ensures groups are equal
Eliminates systematic differences between groups
Randomly distributes extraneous variables over groups

22
Q

Matching assignment

A

matches participants to treatment groups on specific variables

23
Q

Individual/Precision Matching assignment

A

pair participants who have identical scores on matching variables

24
Q

Practice effect

A

An order effect problem where participants becomes better at task due to prior exposure.

Overcome by counterbalancing.

25
Fatigue effect
An order effect problem where participants may become worse as task due to prior exposure. Overcome by counterbalancing.
26
Counterbalancing
Used to overcome order effects when using a repeated measures design. Participant sample is divided in half. One half completes two conditions in order and the other half completing the conditions in reverse order.
27
Intra-subject counterbalancing
All participant to all conditions multiple times and in different orders.
28
Simple Carry Over Effect
when performance on the DV in one condition is contaminated by the effects of the previous condition
29
Differential carryover effects
where carryover effects of one condition of the IV differ depending on the order in which the conditions are completed
30
Maturation (internal development)
A repeated measure design issue. | Changes due to natural development and expected improvement over time.
31
History (external events)
A repeated measure design issue. | External events which affect the participants during the study.
32
Statistical regression
An issue with repeated measure designs. Refers to the tendency to move up or down towards the mean over time. E.g. someone scoring below or above par on a measure - potentially likely to move towards the mean of that variables over repeated measurements
33
Mortality
An issue with repeated measure designs. | Refers to participants leaving the study before it has run for its intended duration.
34
Measurement issues & how to control for them
Refers to problems with equipment or errors in manual recording of data. Controlled by training researchers, multiple data recorders, or observed participant data entry.
35
Attribute effect and how to control for it
Refers to participants responding differently to different experimenters. Controlled by using the same experimenters in all treatment conditions or standardising how experimenter interacts (e.g. script).
36
Rosenthal effect vs Golem effect
Rosenthal effect: participants expected to respond MOST favourably to study are treated differently Golem effect: participants expected to respond LEAST favourably to study are treated differently Controlled for by: double blind, partial blind, or automation
37
Demand Characteristics
Refers to how participants knowledge of the aims of study will cause them to perform in ways that conform to the study's expectations. Controlled for with: single-blind, double-blind, & deception
38
Social desirability
Refers to participant performing in ways that paint them in the best possible light, or the experimenter will find most pleasing. controlled by: single-blind, double-blind, & deception
39
Hawthorn effect
Refers to participant performing better for the attention received for being in a study and not as a function of the nature of the manipulations of the IV. Controlled by: single-blind, double-blind, & deception
40
single-blind
participant is not made aware of true purpose of study
41
double-blind
neither experimenter and participant aware of treatment condition
42
Deception
omission of or altering the truth of information given to the participant during a research study
43
Situational effects
refers to environmental effects on study e.g time of day, weather conditions