Topic B: Cognitive psychology AS

Syllabus
2026
Topic
Level
AS

Learning objectives

2.1.1Multi-store model of memory2.1.1 The multi-store model of memory (Atkinson and Shiffrin, 1968), including information processing, encoding, storage, retrieval, capacity and duration.2.1.2Working memory model2.1.2 The working memory model (Baddeley and Hitch, 1974) including the phonological loop, central executive, visual- spatial sketchpad, episodic buffer.2.1.3Reconstructive memory2.1.3 Reconstructive memory (Bartlett, 1932), including schema theory.2.2.1Experiment design and conduct2.2.1 Designing and conducting experiments, including field and laboratory experiments.2.2.2Independent and dependent variables2.2.2 Independent and dependent variables.2.2.3Experimental and null hypotheses2.2.3 Experimental and null hypotheses.2.2.4Directional (one-tailed) and non-directional (two-tailed) tests2.2.4 Directional (one-tailed) and non-directional (two-tailed) tests and hypotheses.2.2.5Experimental and research designs2.2.5 Experimental and research designs: repeated measures, independent groups and matched pairs, the issues with each and possible controls.2.2.6Operationalisation and variables2.2.6 Operationalisation of variables, extraneous variables and confounding variables.2.2.7Control groups and order controls2.2.7 The use of control groups, counterbalancing, randomisation and order effects.2.2.8Situational and participant variables2.2.8 Situational and participant variables.2.2.9Objectivity, reliability and validity2.2.9 Objectivity, reliability and validity (internal, predictive and ecological).2.2.10Experimenter effects and demand characteristics2.2.10 Experimenter effects, demand characteristics and control issues.2.2.11List A quantitative and qualitative data2.2.11 List A from Topic A. 18.2.2.12Inferential statistics decisions2.2.12 (List B) Decision making and interpretation of inferential statistics:.; levels of measurement.; Wilcoxon signed ranks test of difference (also covering Spearman's rank correlation coefficient (formula) and Spearman's rank (critical values table) and Chi-squared distribution once Unit 2 has been covered).; probability and levels of significance (p≤.10 p≤.05 p≤.01).; observed and critical values, and sense checking of data.; one- or two-tailed regarding inferential testing.; type I and type II errors.2.2.13Case studies of brain-damaged patients2.2.13 Case studies of brain-damaged patients related to research into memory, including the case of Henry Molaison (HM).2.3.1Bartlett (1932) War of the Ghosts2.3.1 Bartlett (1932) War of the Ghosts.; Contemporary study.2.3.2Schmolck et al. (2002) patient HM2.3.2 Schmolck et al. (2002) Semantic knowledge in patient HM and other patients with bilateral medial and lateral temporal lobe lesions.; One contemporary study from the following two choices:.2.3.3Darling et al. (2007) visuospatial working memory2.3.3 Darling et al. (2007) Behavioural evidence for separating components within visuo-spatial working memory.2.3.4Sacchi et al. (2007) doctored photographs and memory2.3.4 Sacchi et al. (2007) Changing history: doctored photographs affect memory for past public events.2.4.1Cognitive psychology practical investigationConduct one ethical cognitive-psychology practical: design a repeated-measures laboratory experiment that gathers quantitative data. Make decisions about sampling, operationalisation, controls, hypotheses, experimenter effects, demand characteristics and order effects. Present and interpret central tendency, dispersion and appropriate graphs; consider normality where relevant; use the Wilcoxon non-parametric test of difference with significance and critical/observed values; evaluate strengths, weaknesses and improvements; and write the procedure, results and discussion. Suitable contexts include dual-task working-memory studies or acoustic similarity and short-term memory.

How information moves through the multi-store model

Atkinson and Shiffrin's multi-store model treats memory as information moving through three stores. Attention moves selected sensory input into short-term memory (STM); maintenance rehearsal keeps it active and can transfer it to long-term memory (LTM); retrieval returns stored information to STM for conscious use.

Store Typical encoding Capacity Duration
Sensory register modality-specific, such as visual or auditory very large incoming field a fraction of a second
STM mainly acoustic about 7±27\pm2 items about 15-30 seconds without rehearsal
LTM mainly semantic, but can also be visual or acoustic potentially very large potentially lifelong

Serial-position findings support separate short- and long-term contributions, and preventing rehearsal rapidly reduces STM recall. HM's intact immediate memory but severe difficulty forming new declarative long-term memories also supports separable stores.

The model is useful but simplified. KF encoded some STM material visually, the working-memory model divides STM into active components, and HM could acquire procedural skills. Rehearsal is therefore not the only route to LTM, and each store is not a single uniform system.

Working memory is a coordinated system

Baddeley and Hitch's working-memory model explains short-term memory as an active, limited-capacity system whose components can process different kinds of information at the same time.

Component Main job Interference clue
Central executive directs attention, switches tasks and coordinates the other components demanding decisions or two simultaneous tasks compete for control
Phonological loop temporarily maintains speech and sound through a phonological store and articulatory rehearsal two verbal tasks interfere; longer words take more rehearsal time
Visuo-spatial sketchpad maintains and manipulates visual appearance and spatial location two visual/spatial tasks interfere more than one visual and one verbal task
Episodic buffer binds information across components and links working memory with LTM into integrated episodes supports combinations of verbal, visual, spatial and stored knowledge

Dual-task performance, the word-length effect and cases such as KF support partly separate components. The model also explains why listening to speech while writing verbal notes can overload the phonological system.

The central executive is less precisely specified than the slave systems, visual and spatial processing may themselves separate, and the model does not fully explain long-term storage or retrieval. It is a detailed model of working memory, not a complete model of all memory.

Memory is reconstructed, not replayed

Bartlett's reconstructive account proposes that recall combines incomplete memory traces with schemas - organised knowledge built from prior experience and cultural expectations. The result is a plausible reconstruction, not a literal recording.

When details are missing or ambiguous, a schema guides selection and interpretation. Information may be omitted, rationalised, transformed into a more familiar form or added through confabulation. Assimilation changes new information so that it fits an existing schema, although schemas can also be updated by experience.

Two witnesses can encode the same event yet later describe it differently because their expectations about people, places or likely actions fill different gaps. Bartlett's War of the Ghosts and office-schema research found familiar substitutions and recall of schema-consistent items that were not present.

Schema evidence shows systematic distortion, but it can be difficult to locate whether reconstruction occurred during encoding or retrieval. Context, questioning and attention also affect recall, so a schema is not a complete explanation of every memory error.

Designing laboratory and field experiments

An experiment manipulates an independent variable (IV), measures a dependent variable (DV) and controls alternatives so that a causal explanation can be tested. The laboratory-field distinction concerns the setting and degree of control, not whether an IV exists.

Method Main strength Main limitation
Laboratory experiment standardisation and control support replication and internal validity an artificial setting or task can create demand characteristics and low ecological validity
Field experiment behaviour occurs in a more natural setting, often improving ecological validity situational variables are harder to control and exact replication is harder

Design from the hypothesis: operationalise IV and DV, choose a design and sample, standardise instructions and timing, control plausible confounds, pilot the task, obtain consent and manage risk, then record data consistently. A control condition provides a baseline when one is needed.

A laboratory result is not automatically valid because it is controlled, and a field result is not automatically realistic because it occurs outside a lab. Task meaning, participant awareness and the specific uncontrolled variables determine validity.

Independent and dependent variables

The independent variable is the condition the researcher changes or compares; the dependent variable is the measured outcome expected to respond. Both must be operationalised so another researcher could reproduce exactly what was varied and recorded.

Research idea Fully operationalised variable
IV: acoustic similarity a 20-word list of rhyming words versus a 20-word list of non-rhyming words, each shown for two seconds
DV: recall number of words written correctly from the list during a one-minute test

A variable name such as 'noise', 'memory' or 'aggression' is not enough. State the conditions, dose or category for the IV and the observable score, unit, timing and scoring rule for the DV.

In a correlation, neither co-variable is manipulated, so calling one an IV and the other a DV incorrectly implies experimental causation.

Experimental and null hypotheses

An experimental hypothesis predicts that an operationalised IV will affect an operationalised DV. A null hypothesis predicts no difference or relationship in the population and states that any sample pattern is due to chance.

Hypothesis Example for a memory experiment
Experimental Participants will recall a different number of words from a 20-word acoustically similar list than from a 20-word dissimilar list.
Null There will be no difference in the number of words recalled from the two 20-word lists; any difference will be due to chance.

Both hypotheses must identify the population where relevant, the exact conditions and the measured outcome. The experimental hypothesis can be directional or non-directional; the null remains a no-effect statement.

Failing to reject the null does not prove that the two conditions are identical. It means the study did not obtain sufficient evidence against the null at the chosen significance level.

Directional and non-directional predictions

A directional hypothesis predicts which condition will score higher or whether a relationship will be positive or negative. A non-directional hypothesis predicts a difference or relationship without choosing its direction.

Choice Wording Inferential consequence
Directional / one-tailed 'Participants will recall more words in silence than in noise.' the rejection region is placed in the predicted tail; use only with a justified prior direction
Non-directional / two-tailed 'There will be a difference in words recalled in silence and noise.' the rejection region is divided across both possible directions

Choose the tail before seeing the results. A well-supported theory or consistent previous evidence can justify one-tailed testing; uncertainty or credible effects in either direction calls for two-tailed testing.

A one-tailed test is not simply an easier route to significance. A result in the unpredicted direction cannot be treated as support for the directional hypothesis.

Choosing an experimental design

Experimental design determines which participants provide data in each condition. The best choice controls the most serious alternative explanation without creating a larger one.

Design Strength Main issue and control
Repeated measures the same people complete every condition, controlling participant differences order effects and aim guessing; counterbalance condition order and use equivalent materials
Independent groups each person completes one condition, avoiding order effects groups may differ before the IV; randomly allocate and use a sufficiently large sample
Matched pairs different people are paired on relevant characteristics matching is slow and never covers every difference; match only variables likely to affect the DV

Repeated measures does not remove all participant variables: ability can still interact with a condition. Independent groups does not automatically produce independent equivalent groups unless allocation and sampling are sound.

Operational, extraneous and confounding variables

Operationalisation turns an abstract construct into a replicable manipulation or measure. Control then protects the comparison from variables other than the IV.

Variable Meaning Example
Operationalised variable exact procedure or score representing a construct memory = number of 20 words recalled in one minute
Extraneous variable any unplanned factor that could affect the DV one condition uses longer or less familiar words
Confounding variable an extraneous factor that changes systematically with the IV, so its effect cannot be separated the noisy condition is always tested late when participants are tired

Before data collection, list plausible situational, participant and material variables. Hold them constant, randomise them, match them or measure them, and standardise instructions and scoring. A pilot can reveal unclear items or ceiling and floor effects.

An extraneous variable becomes a confound only when it offers a credible alternative explanation for the condition difference. Statistical significance cannot repair a confounded design.

Control groups, counterbalancing and randomisation

Controls create a fair comparison by holding an influence constant, distributing it unpredictably or providing a baseline against which the experimental condition can be interpreted.

Control Function
Control group/condition omits the active manipulation and estimates the baseline outcome
Counterbalancing gives different participants different condition orders, such as AB and BA, so practice and fatigue are spread across conditions
Randomisation uses chance for allocation, presentation order or material order, reducing systematic researcher selection
Standardisation keeps instructions, timing, setting and scoring consistent

Practice can improve later performance; fatigue or boredom can reduce it; carry-over means one condition changes response to the next. Counterbalancing estimates and distributes order effects, while independent groups avoids repeated exposure.

Random allocation is not random sampling. Allocation balances conditions within the sample; sampling determines who enters the study and therefore affects population generalisability.

Situational and participant variables

Situational variables arise from the environment or procedure; participant variables are stable or pre-existing differences between the people studied. Either can obscure an IV's effect on the DV.

Source Examples Appropriate control
Situational noise, light, temperature, time, device, experimenter wording standardise the setting and instructions, randomise unavoidable variation, record deviations
Participant age, prior practice, language, cognitive ability, health, sleep repeated measures, random allocation, matched pairs, inclusion criteria or measurement for analysis

If one memory group has previously played the computer task, prior practice can raise its scores. If one condition is tested in a noisy room, setting can lower its scores. Both become confounds when aligned systematically with the IV.

Not every difference must be eliminated. Control variables that plausibly affect the DV, and avoid restrictions so severe that the sample or task no longer represents the intended population or behaviour.

Objectivity, reliability and three kinds of validity

Research quality has distinct dimensions. Objectivity concerns freedom from researcher judgement; reliability concerns consistency; validity concerns whether the evidence supports the intended interpretation.

Criterion Question to ask Strengthening move
Objectivity would another scorer apply the same rule operational definitions, blind scoring, inter-rater checks
Reliability would repetition produce a consistent result standardisation, test-retest or inter-rater agreement
Internal validity did the IV, rather than a confound, cause the DV change control, random allocation, valid operationalisation
Predictive validity does the measure accurately forecast a relevant later criterion compare scores with later behaviour or outcomes
Ecological validity does the task and setting represent behaviour in the intended real context use meaningful tasks and settings without losing necessary control

A procedure can be highly reliable but consistently measure the wrong construct. Ecological validity is not identical to 'outside a laboratory', and objectivity does not guarantee an unbiased sample.

Experimenter effects and demand characteristics

Experimenter effects occur when a researcher's expectations or behaviour alter procedures, scoring or participant responses. Demand characteristics occur when participants infer the aim and change their behaviour.

Threat Example Control
Experimenter expectancy warmer encouragement in the predicted high-score condition scripted instructions, automated presentation, blind allocation or scoring
Observer/scoring bias ambiguous responses coded toward the hypothesis explicit coding rules and independent inter-rater checks
Demand characteristics repeated tasks reveal that memory, not learning, is being tested credible cover information where ethical, independent groups, filler tasks and post-study checks
Social desirability self-reports shift toward an approved answer anonymity, neutral wording and indirect measures

Deception can conceal an aim but requires justification, minimal risk and debriefing. Standardisation reduces researcher variation but cannot remove demand characteristics if the task itself makes the hypothesis obvious.

List A: describing quantitative and qualitative data

List A analysis matches the summary to the data rather than reporting every available statistic. Quantitative data show amounts; qualitative data show meanings and are analysed through systematic coding and themes.

Analytical job Appropriate choice
Typical quantitative score mean for balanced interval data; median for ordered or skewed data; mode for the most frequent value/category
Spread range for total span; standard deviation for dispersion around the mean
Organise frequency table for counts; summary table for condition statistics
Display bar chart for separate categories; histogram for continuous intervals
Express part-whole fraction, ratio or percentage with the denominator stated
Interpret qualitative responses code relevant extracts, develop and review themes, report anonymised evidence

The mean and standard deviation are not automatically appropriate for ordinal or strongly skewed data. A theme is a patterned meaning, not merely a frequently repeated word, and a graph does not compensate for missing labels or an unsuitable statistic.

Choosing and interpreting inferential statistics

Inferential statistics ask whether an observed pattern is unlikely under the null hypothesis. Choose a test from the research question, design and lowest level of measurement: nominal categories, ordinal ranks, or interval/ratio equal units.

Test Question and design Data Significant when
Wilcoxon signed ranks difference between two related/repeated conditions at least ordinal observed TT is equal to or below the critical value
Spearman's rank correlation between paired co-variables at least ordinal rs|r_s| is equal to or above the critical value
Chi-squared association between categorical variables using independent frequency counts nominal observed χ2\chi^2 is equal to or above the critical value

r_s=1-\frac{6\sum D^2}{n(n^2-1)}

For Wilcoxon, calculate paired differences, remove zero differences, rank absolute differences with tied ranks averaged, restore signs, total positive and negative ranks, and use the smaller total as TT. Select the critical value using NN, the chosen pp level and one- or two-tailed prediction.

At p.05p\le .05, a result this extreme would occur by chance no more than 5% of the time if the null were true. A stricter pp reduces Type I risk - rejecting a true null - but increases Type II risk - failing to reject a false null. Sense-check impossible values, coding errors, outliers, sample size and whether the direction matches the hypothesis before concluding.

A significant result is evidence against the null, not proof of the theory, causation or practical importance. A non-significant result is not proof of no effect.

What brain-damaged case studies reveal about memory

A case study investigates one unusual person or a small group in depth, often combining interviews, observations, memory tasks, records and brain imaging over time. Naturally occurring brain damage provides evidence that could not ethically be created experimentally.

After surgery involving the medial temporal region to treat epilepsy, Henry Molaison (HM) retained immediate memory and older memories but could not form normal new declarative long-term memories. Yet his mirror-drawing skill improved without conscious recollection, separating STM from LTM and procedural from declarative memory.

Strength Limitation
detailed longitudinal and triangulated evidence can reveal dissociations unique damage, treatment and life history limit generalisation
generates and tests models of otherwise inaccessible memory systems no random allocation and multiple damaged regions weaken causal localisation
repeated objective tasks can track stable patterns researcher relationships and interpretation can create bias

Memory impairment can limit continuing informed consent, and recognisable cases challenge anonymity. Researchers need capacity-sensitive consent, assent and proxy procedures where justified, privacy, minimal burden, withdrawal safeguards and sensitive handling of distressing information.

Bartlett (1932): War of the Ghosts

Bartlett tested how cultural schemas shape recall of an unfamiliar Native American story. Cambridge participants read War of the Ghosts and reproduced it after delays, either repeatedly themselves or through a chain of different people.

Across reproductions, accounts became shorter, more coherent and more conventional to the participants. Unfamiliar details were omitted or transformed: for example, canoes became boats and supernatural material faded. The pattern supports reconstructive memory because recall moved systematically toward familiar schemas.

Using the same unusual story helped reveal schema-driven changes, and the findings apply to eyewitness accounts and transmission of stories. However, the small culturally narrow sample, inconsistent recall intervals and limited procedural detail reduce generalisability and replicability; an unfamiliar story is also unlike many everyday memories.

The study shows that prior knowledge can organise and distort recall. It does not show that every changed detail was caused by culture alone, or precisely whether reconstruction occurred during encoding, storage or retrieval.

Schmolck et al. (2002): temporal damage and semantic knowledge

Schmolck et al. examined whether the extent of temporal-lobe damage predicted loss of semantic knowledge. Six memory-impaired patients - including HM and people with damage extending into lateral temporal cortex - were compared with eight controls.

Participants completed nine tests using common objects and drawings, including naming, pointing, category judgements and verbal definitions. Responses were scored quantitatively; fourteen raters checked definition quality in one task, reducing subjective coding.

Patients whose damage was limited mainly to the hippocampal formation performed normally on semantic tests, while extensive lateral temporal damage was associated with severe, consistent semantic deficits. HM's modest language weakness was judged more consistent with interrupted education than the lesion pattern.

Multiple converging tasks and inter-rater checks strengthen reliability and the link between lesion extent and semantic performance. Yet six unique patients cannot represent all brain damage; lesion groups differed in more than one respect, and picture categorisation is an artificial sample of everyday semantic use.

The study associates wider lateral temporal damage with poorer semantic knowledge; it does not prove that one isolated location alone stores all semantic memory.

Darling et al. (2007): two visuospatial systems

Darling, Della Sala and Logie tested whether visual appearance and spatial location rely on separable parts of visuo-spatial working memory. Seventy-two adults from a volunteer panel were randomly allocated across combinations of memory and interference tasks.

Participants remembered either the visual appearance of a target on a black-and-white display or its spatial location. During retention they completed selective secondary tasks intended to interfere with appearance or location processing; response latency and accuracy indexed memory performance.

Interference showed an experimental double dissociation: appearance interference selectively disrupted appearance memory, while spatial interference selectively disrupted location memory. This supports separate visual and spatial subsystems rather than one undifferentiated sketchpad.

Random allocation, standardised displays and selective dual-task interference support internal validity and replication. However, a volunteer sample and simplified screen task limit population and ecological validity, and slower responses may reflect task coordination as well as memory storage.

A double dissociation supports functional separation under these tasks; it does not mean visual and spatial systems never interact.

Sacchi et al. (2007): doctored photographs reshape memory

Sacchi, Agnoli and Loftus tested whether altered photographs change memory for public events. Italian participants saw original or digitally doctored photographs of the 1989 Tiananmen Square protest and a 2003 anti-war protest in Rome, then answered questions about the events.

The Beijing image was altered to show a larger crowd; the peaceful Rome scene was altered to show confrontation. Photograph combinations were randomised and counterbalanced before participants completed event-memory and attitude questions.

The enlarged Beijing image led to estimates of more participants. The altered Rome image produced memories of greater violence, confrontation, damage and injuries, more negative ratings, and less willingness to join a future protest. Both younger and older adults were affected.

Real public events and media-like images give the misinformation effect practical relevance, while controlled versions support causal comparison. However, the student-heavy, female-skewed sample limits population validity; questionnaires invite social desirability, and some responses may reflect changed beliefs or source judgements rather than a detailed episodic false memory.

The study shows that doctored images can bias later reports and intentions. It does not show that viewers forget every original detail or that all edited photographs create false memories.

The cognitive psychology laboratory practical

The practical is an ethical repeated-measures laboratory experiment that collects quantitative cognitive data and tests a difference with Wilcoxon signed ranks. Every decision must connect the hypothesis, manipulation, measurement and conclusion.

Stage Required evidence
Aim and hypothesis operationalise two related conditions and one measured outcome; choose a justified direction
Design recruit and describe a sample; use repeated measures; standardise instructions, timing and materials; counterbalance equivalent condition orders
Control and ethics manage participant, situational and material variables; reduce experimenter effects and demand characteristics; obtain consent, protect withdrawal, privacy and wellbeing
Descriptive results choose suitable centre and dispersion; present a labelled table and bar chart, histogram or frequency graph; comment on normality where relevant
Inference calculate Wilcoxon differences and signed ranks; state NN, tail and pp; compare observed TT with the critical value
Report write a replicable procedure, factual results and a discussion with a bounded conclusion, strengths, weaknesses and targeted improvements

Suitable designs include a dual-task test of phonological or visuospatial working memory, or recall of acoustically similar versus dissimilar words. Use equivalent word lists and a counterbalanced order so practice, fatigue and material difficulty do not become confounds.

A significant Wilcoxon result supports a condition difference in this sample; it does not by itself establish the memory mechanism, practical importance or generalisability. Improvements must target a demonstrated limitation rather than merely change the method.