This course will enable students to understand and apply statistical methods and psychological research techniques, including data analysis, test construction, and the use of both qualitative and quantitative methods.
COURSE |
Learning Outcomes |
Learning and teaching strategies |
Assessment Strategies |
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Course Code |
Course Title |
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24CPSY401 |
Statistical Methods and Psychological Research (Theory)
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CO31: Analyse the statistics necessary to solve problems including descriptive statistics tests. CO32: Examine 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. CO33: Appraise the basic principles and need of psychological measurement. CO34: Develop an understanding of functions of tests as well as test construction and standardization. CO35: Acquire knowledge to effectively understand the psychometric strengths and weaknesses of tests. CO36: Contribute effectively in course-specific interaction. |
Approach in teaching: Interactive Lectures, Discussion, Learning activities for the students: Self-learning assignments, application based questions, Seminar presentation, |
Class test, Semester end examinations, Quiz, Assignments, Presentation, |
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)
Characteristics of Normal Distribution and NPC
Correlation: Pearson Method and Rank order correlation (Properties and Computation)
Nature, scope and history of Psychological Testing, Reliability, Validity, Norms
Types of tests, Steps in test construction, item analysis (speed test and power test).
Interview, questionnaire, Survey, Observation, Experimental, Ex post facto
Quantitative Methods: Rating Scale, Q-sort, Sociometry, Sematic Differential Scale.
Suggested Readings :
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