(a) Why is selective attention important? Discuss the theories of selective attention. (20 marks) (b) Which method is most…

Selective attention Selective attention is important because sensory input exceeds processing capacity; it filters overload, allocates limited cognitive resources to relevant stimuli, and has survival value by prioritising threats and task-relevant cues. In Indian traffic, a driver must attend to signals while ignoring chatter. Theories explain how this selection occurs. Broadbent’s filter model proposes that all stimuli enter a sensory register/buffer, then a filter selects one channel on physical characteristics such as pitch or location before semantic analysis; unattended information is dropped. Cherry’s cocktail-party problem and dichotic-listening studies showed people can shadow one message, but Moray (1959) found the own name can be detected in the unattended stream, suggesting early selection is not absolute. Treisman’s attenuation model modifies this: the filter attenuates rather than blocks unattended input, allowing meaningful or personally relevant words to reach consciousness; this explains shadowing and own-name effects. Deutsch and Norman’s late-selection model argues that all stimuli are processed physically and semantically, with selection occurring at response selection; McKay’s priming studies, where an unattended word facilitated responding to a related attended word, support late semantic processing. Multimodal integration extends the debate: visual search shows feature-based pop-out and serial search, while the Stroop effect shows automatic semantic processing and response conflict. Early selection is economical but cannot explain meaning; late selection explains meaning but is costly. A balanced view sees attention as a flexible bottleneck shaped by stimulus salience, task demands, and goals.

Workplace aggression To investigate gender differences in aggressive behaviour at the workplace, the most appropriate method is structured naturalistic observation, embedded in a field quasi-experimental design and supplemented by validated self-report and peer/supervisor ratings. Laboratory experiments can establish causality but are artificial and ethically limited; pure meta-analysis is useful but cannot capture context. In a field study, workplaces are matched on size, sector, shift, hierarchy and task conflict; gender is the grouping variable, while aggression is operationalised as physical, verbal, relational and cyber aggression, direct and indirect. Observers code incidents using behavioural anchors, and questionnaires measure frequency, intent and perceived harm. Controls include job role, authority, education, age, caste/class and organisational culture. Ethical safeguards require informed consent, confidentiality, anonymisation, no retaliation, and referral to Internal Complaints Committees under the Sexual Harassment of Women at Workplace (Prevention, Prohibition and Redressal) Act, 2013, where relevant. Gender-sensitive issues are central: Indian workplaces have power asymmetries, caste/class intersectionality, and response bias—women may underreport due to stigma, men may overreport or minimise. Peer ratings and incident logs reduce self-report distortion.

Schemas and mnemonics Schemas are organised knowledge structures that guide perception, recall and problem-solving. Bartlett’s reconstructive memory showed recall is shaped by schemas, not passive storage. Expertise depends on domain-specific schemas: chess masters, studied by Chase and Simon, recognise chunks and patterns rather than memorising moves; medical diagnosis, as in Patel and Groen, relies on illness scripts and diagnostic schemas that compress symptoms into probable causes. Mnemonic devices enhance encoding and retrieval: the method of loci links items to spatial locations, peg-word systems attach words to fixed images, and chunking groups information into meaningful units. Exceptional memory cases illustrate this: Rajan’s large digit span reflects chunking and retrieval practice, while Luria’s study of Shereshevskii showed extraordinary associative memory but also rigidity. Skilled memory theory, proposed by Chase and Ericsson, explains expertise as domain-specific long-term memory structures built through practice; Ericsson and Kintsch’s long-term working memory model shows how retrieval cues and chunking extend working memory in experts. Together, schemas provide the structure and mnemonics provide the retrieval routes.

Attention, schema activation and research method are linked: selective attention determines which cues enter schema-based processing; field methods validate memory theories in real workplaces. Applied relevance in India includes traffic management, competitive-exam preparation through chunking and loci, and workplace DEI policies that use evidence-based observation to reduce gendered aggression.