Experimental Designs

Paper Code: 
PSY 222
Credits: 
4
Contact Hours: 
60.00
Max. Marks: 
100.00
Objective: 

COURSE OUTCOMES

Course Outcomes

Learning and teaching strategies

Assessment Strategies

 
 

On completion of this course, the students will be able to:

CO51: Demonstrate ability to plan simple experiments and state its requirements. Also, to develop awareness of the critical components of experimental design and its conduction.

CO52: Evaluate competing causal explanations through experimental designs.

CO53: Evaluate hypotheses for consistency with scientific methods and results.

CO54: Evaluate the appropriateness of scientific procedures for investigating a question of Causation and appropriateness of statistical procedures for a given hypothesis and data set.

CO55: Apply research design concepts to novel contexts.

Approach in teaching:

Interactive Lectures, Discussion, Tutorials, Reading assignments, Demonstration, Team teaching

Learning activities for the students:

Self-learning assignments, Effective questions, Simulation, Seminar presentation, Giving tasks, Field practical

Class test, Semester end examinations, Quiz, Solving problems in tutorials, Assignments, Presentation, Individual and group projects

 

 

12.00
Unit I: 
Experimental Design

Experimental Design as Variance Control; Randomized Group Design; Randomized Block Design

 

12.00
Unit II: 
Nested Design

Latin Square and Greco-Latin Square Designs

 

12.00
Unit III: 
Repeated Measure Design

Factorial Designs: Two Factors Only; Nested Design: Two Factors Only; Crossover Design-Replication Within the Same Square

 

12.00
Unit IV: 
A Priori and Post Hoc Comparisons

Dunnett, Duncan & Tukey Test.

 

12.00
Unit V: 
Analysis of Covariance

Single Factor

 

Essential Readings: 
  • Broota, K.D. (1989). Experimental Design in Behavioural Research. New Delhi: Wiley Eastern.
  • Guilford J.P. (1954). Psychometric Method. New York: McGraw Hill.
  • Kerlinger, F.N. (2017). Foundations of Behavioural Research. New Delhi: Surjeet Publications.
  • Minium, E.W., King, B.M. & Bear, G. (2011). Statistical Reasoning in Psychology and Education. New York: John Wiley& Sons.

 

References: 

Suggested Readings

  • Edward A.L. (1976). Experimental Design in Psychological Research. New York: Holt Rinehart Winston.
  • Garrett, H.E. (2005). Statistics in Psychology and Education. New Delhi: Paragon International Publications.
  • Maxwell, A.E. (1968). Experimental Design for behavioural and Medical Sciences. New York: Holt Rinehart Winston.
  • McNemar (1989). Experimental Design. New York: McGraw Hill.
  • Singh, A.K. (2017). Tests Measurements and Research Methods in Behavioural Science. Patna: Bharti Bhavan.
  • Winer, B.J. (1971). Statistical Principles in Experimental Designs. New York: McGraw Hill.

E-Resources

  • ResearchGate
  • JSTOR
  • Proquest
  • Shodhganga
  • Delnet
  • Google Scholar
  • National Digital Library (NPTEL)
  • Academia

Journals

  • Perspectives on Psychological Science
  • International Journal of Distributed Sensor Networks
  • Psychological Bulletin
  • Quarterly Journal of Experimental Psychology
  • Psychological Sciences
  • Journal of Computational and Graphical Statistics

 

Academic Year: