Month 1: Foundations of Psychological Measurement and Data Analysis

1. Nature of Psychological Measurement

1. Definition and Importance
2. Scales of Measurement (Nominal, Ordinal, Interval, Ratio)
3. Frequency and Distribution

2. Graphic Representation of Data

1. Bar Graphs, Histograms, and Frequency Polygons
2. Pie Charts and Scatterplots

3. Measures of Central Tendency

1. Mean: Definition, Calculation, and Uses
2. Median: Definition, Calculation, and Uses
3. Mode: Definition, Calculation, and Uses

 

Month 2: Advanced Statistical Techniques in Psychology

4. Measures of Variability

1. Range and Interquartile Range
2. Standard Deviation and Variance
3. Percentiles and Cumulative Distributions
4. Standard Scores (z-scores): Meaning and Application

5. Normal Distribution Curve (NPC)

1. Characteristics of the NPC
2. Applications of NPC in Psychological Research
3. Skewness and Kurtosis: Concepts and Interpretation
4. Problems and Solutions in NPC Analysis

6. Correlation

1. Meaning and Significance
2. Methods and Techniques:
   • Pearson’s Product-Moment Correlation
   • Spearman’s Rank Correlation

 

Month 3: Applied Psychological Statistics

7. Inferential Statistics

1. Standard Error of the Mean
2. t-Test: Significance of Differences Between Means
3. Applications in Psychological Research

8. Chi-Square (χ²) Test

1. Computation: Simple and Contingency Methods
2. Uses and Properties of Chi-Square

 

9. Psychological Test Construction

1. Nature and Types of Psychological Tests
2. Steps in Test Construction:
   • Item Analysis
   • Determination of Item Difficulty
   • Item Discrimination
   • Discrimination Index

 

10. Reliability and Validity of Test Scores

1. Meaning and Importance
2. Types of Reliability and Validity
3. Statistical Techniques for Determining Coefficients