Statistical Methods and Psychological Research

Paper Code: 
CPSY 401
Credits: 
04
Contact Hours: 
60.00
Max. Marks: 
100.00
Objective: 

Learning Outcomes

Learning and teaching strategies

Assessment Strategies

 
 

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

CO16: Calculate the statistics necessary to solve problems including descriptive statistics tests.

CO17: Explain the basic properties of normal probability curves. Explain the logic and appropriate applications of statistical analyses for univariate or bivariate research designs, problems, or hypotheses.

CO18: Understand the basic principles and need of psychological measurement.

CO19: Acquiring knowledge about various parameters of assessment technique.

CO20: Develop an understanding of functions of tests as well as test construction and standardization.

CO21: Acquiring knowledge to effectively understand the psychometric strengths and weaknesses of tests. 

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: 
Introduction:

 Scales of measurement, graphical representation of data- Histogram, Bar graph, Frequency polygon. Introduction to Parametric and Non-Parametric test;

Data Analysis: Measures of central tendency: Mean, median, mode (properties and computation). Measure of Dispersion: Range, Quartile Deviation, Standard deviation (properties and computation)

12.00
Unit II: 
Normal Probability Curve & Correlation:

 Normal Probability Curve:Characteristics

Correlation: Pearson Method and Rank order correlation (Properties and Computation)

12.00
Unit III: 
Psychological Testing:

Nature, scope and history of Psychological Testing, Reliability, Validity, Norms

12.00
Unit IV: 
Principles of Psychological test construction:

Types of tests, Steps in test construction, item analysis (speed test and power test).

12.00
Unit V: 
Qualitative & Quantitative methods

Qualitative Methods: Interview, questionnaire, Survey, Observation, Experimental, Ex post facto

Quantitative Methods: Rating Scale, Q-sort, Sociometry, Sematic Differential Scale.

Essential Readings: 

·       Minium, E.W., King, B.M., & Bear G. (1993). Statistical Reasoning in Psychology and Education. New York: John Wiley Publication.

·       Garrett, H. E. (2004). Statistics in Psychology and Education. New Delhi : Paragon International Publishers.

·       Mangal, S.K. (2002). Statistics in Psychology and Education(2nd Edition). Delhi : McGraw Hill Publication.

References: 

●      Broota, K.D. (1992). Experimental Design in Behavioral Research.  New Delhi : Wiley Eastern Publication.

●      Siegel, S. (1994). Non-Parametric Statistics. New York : McGraw Hill Publication.

●      Guilford, J.P. Fundamental Statistics in Psychology and Education. New York : McGraw Hill Publication.

●      Sen, A.K. (1976). Sandlers ‘A’ Test. A Simple Statistics for correlated samples. Journal of Psychological Researches. 20, 16-20.

●      Welkowitz, J., Ewen, R.B., and Cohen, J. (1982). Introduction to Statistics for Behavioral Sciences. New York : Academic Press.

●      Winer, B.J. (1971).  Statistical Principles in Experimental Design. New York : McGraw Hill Publication.

●      Fergusen, G.A. (1971). Statistical Analysis in Psychology and Education. 3rdEdition. New Delhi : McGraw Hill Publication.

E Resources :  

●      World Digital Library.

●      World E- Book Library.

●      California Digital Library.

●      ResearchGate

●      JSTOR

●      Proquest

●      Shodhganga

●      Delnet

●      Google Scholar

●      National Digital Library (NPTEL)

●      Academia

●      Planet EReadings.

●       

Journals:

●      Journal of Official Statistics. Access from https://sciendo.com/journal/jos

●      REVSTAT. Access from https://en.wikipedia.org/wiki/REVSTAT

●      Statistics Surveys. Access from https://imstat.org/journals-and-publications/statistics-surveys/

Academic Year: