BSc. Psychology Semester 3 Psychological Measurement & Testing

Module 1

Lecture no 1- Introduction to measurement 

Lecture no 2- Scales of Measurement

Lecture no 3 – Scales/Levels of Measurement Part 1

Lecture no 4 – Scales/Levels of Measurement Part 2

Lecture no 5- Psychological and Physical Measurement 

Lecture no 6-Problems of Measurement 

Lecture no 7- Psychophysics 

Lecture no 8-Weber’s Law

Lecture no 9- Fechner’s Law

Lecture no 10- Signal Detection Theory

Lecture no 11-Introduction to Scaling Methods

Lecture no 12-Method of Average Error

Lecture no 14-Method of Limits

Lecture no 15- Method of Constant Stimuli

Lecture no 16- Method of Paired Comparison

Lecture no 17- Method of Rank Order

 

Module 2- Nature and Uses of Psychological Tests

Lecture no 1- Psychological Testing-History Part 1

Lecture no 2 – Psychological Testing-History Part 2

Lecture no 3 – Uses of Psychological Tests

Lecture no 4- Characteristics of a Good Test

Lecture no 5- Ethical Issues in Psychological Testing

Lecture no 6- Classification of Psychological Tests Part 1

Lecture no 7- Classification of Psychological Tests Part 2

 

Module 3

Lecture -1

Lecture 2-General steps of test construction-part 1

 Lecture 3- Item analysis

Lecture 4 Administration 

 Lecture 5 – Reliability (part 1 )

 Lecture 6 – Reliability (part 2 ) 

Lecture 7 – Reliability (part 3 ) 

Lecture 8 – Reliability (part 4 ) 

Lecture 9 – Validity ( part 1 )

Lecture 10 – Validity ( part 2 )

Lecture 11 – Validity ( part 3 )

Lecture 12 – Validity ( part 4 )

Lecture 13 – Validity ( part 5 )

Lecture 14 – Norm referencing

Lecture 15 – Criterion referencing

Lecture 16 – Type of norms

Lecture 17 – Percentile norms

Lecture 18- Standard score norms

Lecture 19- Preparation of manual

 

Module 4- Basics of psychological research 

Lecture 1- Meaning and characteristics of research 

Lecture 2- Identifying a Problem

Lecture 3 – ROL & Hypothesis

Lecture 4 – Types of hypothesis and variables

Lecture 5 – Formulating a Research Design

Lecture 6 – Data Collection Methods – Part 1

Lecture 7 – Data Collection Methods – Part 2

Lecture 8 – Data Collection Methods – Part 3

Lecture 9 – Data Collection Methods – Part 4

Lecture 10 – Sampling

Lecture 11 – Writing report – Structure & Writing style

Lecture 12 : Research process – Final stage –

Lecture 13 : Historical research

Lecture 14 : Basic vs Applied research & Experimental research

Lecture 15 : Non experimental research-