Causality
Understanding cause and effect relationships in psychology
Definition
Causation is the relationship between cause and effect, where changes in one variable (cause) directly result in changes in another (effect). Causality in psychology is about understanding how and why one variable influences another, while asking how confident we can be that the relationship is truly causal. This depends on whether researchers have isolated variables, controlled extraneous factors, and ruled out alternative explanations in the face of complex, interacting, and often hidden variables.
Conditions for Establishing Causation
Covariation
The cause and effect must vary together. When the cause is present, the effect is more likely to occur; when absent, the effect is less likely.
Temporal Precedence
The cause must occur before the effect. Establishing the correct time sequence is essential to rule out reverse causality.
No Plausible Alternative Explanations
Other variables must be ruled out as explanations for the observed relationship. This requires controlling for confounding variables and considering third-variable problems.
Establishing Causality Through Experimental Manipulation
Well-Constructed Operationalisation
Both independent and dependent variables need to be clearly measurable and capture the essence of the construct. Variables need to be clearly isolated.
Control Groups
A group of participants that does not receive the experimental treatment, allowing researchers to compare outcomes with the experimental group.
Random Assignment
Process of allocating participants to different groups entirely by chance. Ensures each participant has equal likelihood of being in any group, reducing bias and controlling for individual differences.
Standardised Procedures
Consistent methods and instructions used across all participants. Ensures everyone experiences the experiment the same way, increasing reliability and reducing extraneous variables.
Double-Blind Design
Neither participants nor researchers directly interacting with them know which condition participants are in. Reduces both participant bias (social desirability) and researcher bias (expectancy effects).
Experimental Controls
Placebo
A treatment with no therapeutic effect given to participants to assess effects of active treatment by comparing it to non-active placebo.
Wait-Listing
Participants placed on waiting list to receive treatment later. Allows comparison between those receiving intervention and those who have not yet received it.
Validity in Causal Research
Internal Validity
The extent that a measurement conducted within a study accurately measures or assesses what it claims to measure.
External Validity
The extent to which findings from a study can be generalized to a different setting or population.
Mundane Realism
The degree to which a research study, experimental materials, procedures and setting resemble real-life situations and experiences. Impacts external validity.
Replication
Findings should be consistent across different studies, samples, and contexts to establish robust causality.
Complexity in Establishing Causation
Mediators
Factors that explain how or why one variable affects another. The "mechanism" that explains the effect of multiple interacting variables.
Moderators
Factors that influence the strength or direction of a relationship. The "condition" that changes the relationship and explains context dependency.
Bidirectional Ambiguity and Feedback Loops
When the direction of cause and effect between two variables is unclear. Challenging to determine which variable influences the other or if there is mutual interaction.
Third Variable Problem
A statistically observed relationship between two variables that are not directly or causally linked, but appear connected due to a third, unobserved variable or coincidence.
Reductionism vs Holism
Reductionism breaks phenomena into simpler components to establish cause-and-effect, but risks overlooking broader social and cultural context. Holism emphasizes that behavior is more than the sum of its parts.
Non-Experimental Research Limitations
Only true experiments can conclude causal relationships. Not all topics can be studied through experimental methods, making it difficult to rule out alternative explanations.
Ethical Limitations
Ethics ensure research protects participants, but psychologists must rely on creative, indirect methods like natural experiments, longitudinal studies, or statistical modeling instead of experimental testing.
Agency and Motivation in Causality
Agency
An individual's capacity to act independently and make their own free choices. Often seen as opposite of being caused by external forces. Most psychologists adopt a compatibilist perspective, arguing that agency and causality are not mutually exclusive.
Determinism
The argument that events, including human actions and choices, are predetermined and inevitable. Explaining causal mechanisms behind decision-making explains how agency works.
Motivation
The impetus that gives purpose or direction to behaviour, operating at conscious or unconscious levels. Explains the internal mechanism through which external factors translate into behavior.
Typical Exam Question Types
"Discuss how well psychologists can establish causality in research."
"Discuss the challenges in establishing causal relationships in psychology."
Step-by-Step Answer Strategy
- 1. Restate the claim
- 2. State challenges and limitations in establishing causality
- 3. Use examples of research methods (experiments, correlational studies, longitudinal designs)
- 4. Analyse strengths/limitations (Experiments establish causality but may lack external validity; correlational studies lack internal validity)
- 5. Bring in own knowledge (Confounding variables, third-variable problem, bidirectional causality, moderators and mediators)
- 6. Balance the argument (Multiple methods combined provide stronger evidence; causality is complex and context-dependent)
- 7. Conclude (Psychologists can establish causality through rigorous experimental design, but must acknowledge limitations and complexity)