TYPES OF EXPERIMENTS (EVALUATION) Flashcards
1
Q
Name 3 strengths of a lab experiment.
A
- RELIABLE: Due to standardisation which allows results/conditions can be replicated.
- INTERNALLY VALID: Due to high control over variables, eliminating confounding variables. Causal relationship can be established
- PRECISON: Variables can be measured accuratley due to specialised equitement available in a lab setting.
RIP
2
Q
Name 3 weaknesses of a lab experiment
A
- LOW EXTERNAL VALIDITY: due to aritifical (controlled) setting, thus hard to generalise results to real world behaviour/settings.
- DEMAND CHARACTERISTIC RISK: Ppts awareness of being studied, may change behaviour, creating bias.
- EXPERIMENTER BIAS: The researchers expectations may affect behaviour or alter interpretations of results.
LDE
3
Q
Name 3 strengths of a field experiment
A
- Ecological Validity: natural settings, normal settings will reflect genuine behaviors, thus generalizing well to real life.
- Lowered Demand Characteristic risk: If ppts don’t know they are being studied.
- High mundane realism: Tasks will resemble real life situations, thus behaviours produced will be natural, inc applicability to real world.
4
Q
Name 3 weaknesses of a field experiment
A
- Low internal validity: EV can confound results due to reduced control (no causal relationships)
- Low reliability: Exact replication of environment is hard.
- Sample bias: Less control over who partcipates/ harder to randomly allocate.
5
Q
Name 3 strengths of a quasi/ natural experiment
A
1.Ethical: : Allows researchers to study variables that can’t ethically be manipulated (trauma exposure).
2.RWA: Researchers can examine effects of naturally occurring events/ pre-existing groups, provides valuable insights into real-world phenomena.
3.Ecological validity: Often occur in real-world settings, the findings are more likely to reflect real-life situations and behaviors
6
Q
Name 2 weakneses of a quasi/natural experiment
A
- No Random assignment:Ppts cannot be randomly assigned to groups, which can introduce bias and make it harder to establish clear causal relationships
- Internal validity: Many EV can’t be controlled, it’s difficult to rule out alternative explanations for the findings.