(a) Describe the diversity in the disciplinary thoughts with special reference to structuralism, functionalism and behaviourism…

(a) Diversity in Disciplinary Thoughts

The evolution of psychological science reflects distinct epistemological paradigms regarding the subject matter and methods of inquiry. Structuralism, established by Wilhelm Wundt and formalized by Edward Titchener, adopted an elementalist framework. It sought to deconstruct conscious experience into basic components—sensations, images, and affective states—using trained, systematic introspection under controlled laboratory conditions.

Functionalism, developed by William James and John Dewey, arose as an evolutionary critique of structuralism's static atomism. James posited consciousness as a continuous, dynamic stream whose primary value lies in its adaptive utility for survival. Dewey extended this functional stance to the reflex arc concept, arguing that psychological activity must be viewed as an integrated, goal-directed coordination rather than discrete, artificial stimulus-response components.

Behaviourism, inaugurated by J. B. Watson’s 1913 manifesto and advanced by B. F. Skinner’s radical behaviourism, represented an ontological rupture by rejecting mentalism and introspection entirely. Watson redefined psychology as the purely objective, empirical science of observable behavior, aiming for the prediction and control of stimulus-response (S-R) relationships. Skinner elaborated this framework through operant conditioning, functional analyses, and reinforcement schedules. These three schools embody fundamentally contrasting epistemological stances: structuralism sought elemental conscious analysis, functionalism examined adaptive utility, and behaviourism enforced objective behavioural control.

(b) Emergence and Development of Cognitive Psychology

Cognitive psychology developed during the mid-20th century as behaviourism proved inadequate to explain complex human phenomena such as language, problem-solving, and attention. The cognitive revolution was catalyzed by Noam Chomsky’s (1959) critique of Skinner’s Verbal Behavior, which proved that internal syntactic mechanisms are necessary to account for linguistic generativity. Simultaneously, Claude Shannon’s information theory and the rise of digital computing provided the information-processing metaphor, framing the mind as an active computational system manipulating symbolic representations.

Landmark empirical studies established the field's foundation. George Miller (1956) demonstrated capacity constraints on immediate memory through his formulation of the "magical number seven, plus or minus two" and the process of chunking. Donald Broadbent (1958) introduced the filter model of selective attention using dichotic listening tasks. Ulric Neisser codified the discipline with his 1967 text Cognitive Psychology. Subsequent structural formulations included Atkinson and Shiffrin’s (1968) multi-store memory model and Daniel Kahneman and Amos Tversky’s empirical work on heuristics and cognitive biases in decision-making. In India, cognitive frameworks were integrated into clinical and empirical research through neurocognitive profiling at the National Institute of Mental Health and Neurosciences (NIMHANS), Bengaluru, alongside R. C. Mishra’s research on the influence of eco-cultural contexts on cognitive development and spatial processing.

(c) Two-Way ANOVA: Assumptions and Illustration

A two-way Analysis of Variance (ANOVA) evaluates the simultaneous effects of two categorical independent variables (factors) and their interaction on a single continuous dependent variable. The mathematical model relies on four core assumptions: the dependent variable is measured on an interval or ratio scale; observations are independent across and within groups; the dependent variable is normally distributed within each treatment population; and the variances across all treatment combinations are equal (homoscedasticity).

Consider a 2×2 factorial design examining Teaching Method (Factor A: Traditional vs. Interactive) and Student Gender (Factor B: Male vs. Female) on Examination Score (DV, scale 0–100):

Under the Traditional Method, Male Mean = 60 and Female Mean = 60 (Row Mean = 60). Under the Interactive Method, Male Mean = 70 and Female Mean = 90 (Row Mean = 80). The resulting Column Means are Male = 65 and Female = 75, with an overall Grand Mean of 70.

A main effect represents the direct impact of one factor collapsed across all levels of the other. Factor A shows a main effect of Method, as the Interactive method outperforms the Traditional method (80 vs. 60). Factor B shows a main effect of Gender, as female students achieve higher overall scores than male students (75 vs. 65). An interaction effect occurs when the effect of one factor depends on the specific level of the second factor. In this scenario, the Interactive method produces a modest +10 point gain for males (70 vs. 60) but a substantial +30 point gain for females (90 vs. 60). This non-parallel pattern indicates an ordinal interaction, demonstrating that pedagogical efficacy is contingent upon gender.