Internal mental processes

Cognitive psychologists explain behaviour through the processing that occurs between receiving information and responding.

AO1: what the cognitive approach studies

The cognitive approach explains behaviour by studying what happens between a stimulus and a response. Behaviourists tried to keep psychology focused on observable behaviour. Cognitive psychologists argue that this leaves out the most interesting part: the internal processing that shapes what a person notices, remembers, thinks, decides and does.

A simple cognitive explanation often has this shape:

1. A person receives information from the environment.
2. The mind processes that information.
3. The person produces an observable response.

For example, a student hears a fire alarm. The sound itself is the stimulus, but their behaviour depends on cognitive processing: they recognise the alarm, remember the evacuation rule, judge that it is serious and decide to leave the room. The cognitive approach is interested in those recognition, memory, judgement and decision processes.

AO2: applying the approach

Imagine Maya checks her phone, sees a message from a friend and does not reply until after the lesson. A behaviourist might focus on rewards and punishments for using the phone. A cognitive psychologist would focus on the mental steps that mediate her behaviour: Maya reads the message, remembers the school rule, predicts the consequence of replying and chooses to wait.

That word "mediate" matters. The cognitive approach does not deny that stimuli and responses exist. It argues that behaviour is shaped by the mental processes that come between them.

AO3: why this was important

The cognitive approach helped psychology study mental life scientifically without returning to vague introspection. Instead of asking people only to report what is in their mind, cognitive psychologists design tasks, measure performance and infer the likely mental processes involved.

The role of schema

Schemas organise experience into expectations that can help interpretation or bias it.

AO1: schema as mental frameworks

Schemas make thinking more efficient. You do not enter a classroom as if it is a completely new world every time. You already have expectations about desks, a teacher, lesson activities and appropriate behaviour. Those expectations help you process the situation quickly.

Schemas also shape what people notice and remember. If information fits an existing schema, it may be processed fluently. If information clashes with a schema, the person may ignore it, reinterpret it or remember it inaccurately. This is useful for understanding everyday cognition, but it also means that schemas can contribute to bias, stereotyping and distorted recall.

AO2: schema in everyday behaviour

Ravi walks into a quiet restaurant. Before anyone speaks, his "restaurant schema" helps him predict that he may wait to be seated, read a menu, order food and pay at the end. The schema saves mental effort because Ravi does not need to work out every step from scratch.

Now change the situation. Ravi walks into a restaurant where customers cook their own food at the table. If his schema is too rigid, he may feel confused or make the wrong prediction. This shows the double role of schema: they guide interpretation, but they can also mislead.

AO1 and AO3: Bartlett as an illustration, not a required named study

Frederic Bartlett's 1932 work on remembering is a useful illustration of schema. In his well-known "War of the Ghosts" research, British participants were asked to recall an unfamiliar Native American folk tale through repeated or serial reproduction. Over retellings, the story often became shorter, more conventional and more consistent with the participants' cultural expectations.

The cognitive point is that recall was not treated as a simple playback of stored information. It was reconstructive: participants seemed to use existing schemas to make sense of unfamiliar material. This supports the idea that schemas influence internal mental processes such as perception and memory.

The evaluation point is just as important. Bartlett's work was influential, but it was not as tightly controlled as later laboratory research. For AQA, the safest use is as an illustration of schema rather than as a study whose detailed procedure must be memorised for this specification point.

Models and inference

Models make a proposed mental process explicit enough to generate testable predictions.

AO1: why models are used

The updated AQA wording refers to "the use of models" rather than treating theoretical and computer models as separate requirements. In practice, cognitive models can be verbal, diagrammatic, mathematical or computer-inspired. The important point is that they are tools for thinking scientifically about processes that cannot be watched directly.

A common model in the cognitive approach is the information-processing view. It compares the mind to a system that receives input, processes and stores information, and produces output. This is not meant to mean the human mind is literally a computer. It is an analogy that helps psychologists ask precise questions, such as:

• What information entered the system?
• What was attended to?
• How was the information encoded or interpreted?
• What response was produced?

AO1: inference from observable evidence

Cognitive psychologists cannot directly observe memory, attention or decision-making. They infer these processes from measurable behaviour, such as reaction time, accuracy, recall errors, eye movements or choices in a task.

For example, suppose participants are slower to name the ink colour of the word "red" when it is printed in blue ink than when the word and ink colour match. A cognitive psychologist cannot see "attention conflict" directly. They infer it from the slower response and the pattern of errors. The inference is stronger if the task is well controlled and the result is replicated.

AO2: using a model to explain behaviour

Consider a driving lesson. Sam sees a hazard, remembers the instructor's rule, predicts what another driver may do and brakes. A cognitive model might break this into input, attention, interpretation, memory, decision and output. This helps explain behaviour more precisely than simply saying "Sam braked because there was a hazard."

AO3: what models can and cannot prove

Models are useful because they turn invisible mental processes into testable explanations. However, a model is not the same as direct proof. Different models can sometimes explain the same behaviour, and a neat diagram may oversimplify messy human cognition. Good cognitive psychology therefore treats models as hypotheses to be tested and refined, not as final pictures of the mind.

Evaluating the cognitive approach

The value of a cognitive explanation depends on its testability, evidence and ability to explain behaviour beyond a single task.

AO3: scientific strength

One strength of the cognitive approach is that it studies mental processes using controlled, scientific methods. Variables can be carefully manipulated, and responses such as speed, accuracy or recall can be measured objectively. This makes many cognitive studies replicable and helps psychology move beyond speculation about the mind.

This is especially strong when cognitive explanations lead to clear predictions. If a model predicts that a harder memory task will increase errors, researchers can test that prediction. If the prediction fails, the model can be changed or rejected.

AO3: useful applications

The cognitive approach has practical value. It has influenced therapies such as cognitive behaviour therapy, educational strategies based on memory and attention, and the design of technology that supports decision-making. These applications suggest that cognitive concepts are not just abstract ideas; they can help solve real problems.

For this particular AQA lesson, do not drift into the detailed cognitive approach to depression or addiction. Those are separate specification points. Here, the useful application is a general evaluation point: studying cognition can improve explanations and interventions in other areas of psychology.

AO3: limits of inference

A key limitation is that internal mental processes are inferred rather than directly observed. If a person is slow in a task, the researcher may infer that attention was divided or memory load was high. But other explanations may be possible, such as boredom, anxiety, misunderstanding the instructions or lack of motivation.

This does not make cognitive research worthless. It means researchers need careful controls, converging evidence and cautious conclusions.

AO3: machine reductionism and ecological validity

Some cognitive models can be accused of machine reductionism. They may explain human beings as if they were information-processing machines, which can underplay emotion, motivation, culture, social context and biological processes.

Laboratory tasks can also lack ecological validity. Remembering a list of words or pressing a key in response to a stimulus may not fully represent complex real-life cognition. On the other hand, laboratory control is often what allows cognitive psychologists to isolate one process at a time. This creates a common evaluation balance: control improves scientific precision, but may reduce real-world realism.

AO3: issue and debate links

The cognitive approach is often described as soft determinist. It suggests behaviour is influenced by schemas and mental processes, but people can sometimes reflect on and change their thinking.

It can also be reductionist, because it breaks behaviour into separate processes such as attention, memory and decision-making. This is useful for precise research, but it may miss the whole person acting in a rich social and emotional context.

Interpreting cognitive evidence

Observable results support a cognitive explanation when the pattern fits its prediction, but interpreting that pattern requires both a comparison and a cautious inference.

Suppose a model predicts that reading a word automatically interferes with naming a conflicting ink colour. The following invented results illustrate the reasoning; they are not published study data.

The conflicting condition is 160 ms slower. This is a descriptive difference: it summarises these observations. The researcher can infer that conflicting word information adds processing demands or competes for attention. The measured variable is response time; the inferred process is interference. Neither the table nor a brain-like flow chart lets the researcher watch interference directly.

A convincing interpretation links the direction of the result to the model's prediction. “The times differ” is weaker than “the longer time for conflicting words supports the prediction that competing information delays the response.” The difference alone does not establish statistical significance: sample size, variation and an appropriate test would be needed. No statistical test is required for the descriptive comparison here.

A rival explanation could be that the conflicting words were printed smaller and therefore harder to see. Keeping font size constant removes that particular alternative. This illustrates control: keeping task features comparable makes the inferred mental process a more plausible explanation. It still does not prove that one model is uniquely correct, because another model could predict the same pattern.

When explaining a result, separate what was measured, the pattern, the inference and its limits. When applying schemas to everyday behaviour, use the same discipline: an expectation can plausibly bias recall, but a single error does not prove that schema was its only cause.