Semester 5

Objectives:-

• To develop understanding of the concepts of measurement and evaluation in education.

• To be acquainted with the process of Evaluation

• To be acquainted with different types of measuring instruments and their uses.

• To develop understanding of the concepts of validity and reliability and their importance in educational measurement.

• To be acquainted with the principles of test construction.

Unit: 1 = Measurement and Evaluation in Education

➢ Educational Measurement and Evaluation : Concept

➢ Scope and Need of Educational Measurement and Evaluation

➢ Relation between Measurement, Assessment and Evaluation.

➢ Scales of Measurement- Nominal, Ordinal, Interval and Ratio. click here(Bengali) click here(English)

Unit: 2 = Evaluation Process

➢ Evaluation Process: (Formative and Summative)

➢ Types and steps of evaluation

➢ Norm-Referenced Test and Criterion Referenced Test.

➢ Grading and Credit system. click here(Bengali) click here(English)

Unit: 3 = Tools and Techniques of Evaluation

➢ Concept of Tools and Techniques

➢ Testing tools

i) Educational : Essay type and Objective type, Written , Oral.

ii) Psychological: Personality Test- Types, Rorschach Ink Blot Test , Interest Test- Types , Kuder Richardson interest inventory, Intelligence Test - Types of intelligence tests , Stanford – Binet Scale,

➢ Non testing tools – Cumulative Record Card, Portfolio

➢ Techniques:

i) Self reporting : Interview , Questionnaire

ii) Observation.

Unit: 4 = Criteria of a Good Tool and its Construction

➢ Characteristics of a good tool click here(Bengali) click here(English)

(i) Objectivity- Concept

(ii) Reliability- Concept, methods of determining reliability

(iii)Validity- Concept and types

(iv) Norms- Meaning & types click here(Bengali) click here(English)

(v) Usability -Concept

➢ Steps for construction & standardization of Achievement test

Objectives:

• To develop the concept of statistics and to develop skill in analyzing descriptive measures

• To be acquainted with the concept of Normal Probability Curve and its uses in education

• To develop a concept of measures of relationship

• To develop the ability to organize relevant educational data and to represent educational data through graphs and to develop skill in analyzing and displaying data

Unit: 1 = Concept of Statistics and Descriptive Statistics

➢ Concept of Statistics. Uses of Statistics in Education, Organization and presentation of data – tabulation, graphical representation( Frequency Polygon, Histogram, Ogive, Pie) click here(Bengali) click here(English)

➢ Meaning & measures of Central Tendency- Arithmetic Mean, Median and Mode-their Properties, Calculation and Application. click here(Bengali) click here(English)

➢ Meaning & measures of Variability- Range, Standard Deviation and Quartile Deviation - their Properties, Calculation and Application click here(Bengali) click here(English)

➢ Percentile and Percentile Rank - Definition, Calculation, Application, Graphical Determination

Unit: 2 = Normal Distribution and Derived Score

➢ Concept of Normal Distribution- Properties

➢ Uses of NPC in Education

➢ Divergence from Normality- Skewness and Kurtosis.( Concept and Calculation)

➢ Derived Scores- Z-Score, T Score and Standard Score (Concept, Calculation and Uses). click here(Bengali) click here(English)

Unit: 3 = Measure of Relationship

➢ Bi-variate Distribution- Concept and types of Linear Correlation

➢ Scatter Diagram (only Concept)

➢ Uses of Correlation

➢ Computation of Co-efficient of Correlation by Rank Difference method and Product Moment method, Interpretation of Co-efficient of Correlation

Unit:4 = Statistics (Practical)

➢ Students are expected to collect relevant data (Bi-variate educational data) from their college or neighbourhood ( minimum sample size must be 50) with the objective of

- describing the nature and characteristics of the two distributions,

- comparing two distributions and

- finding association between two sets of data by applying the following:

Method: i) Tabulation of data

ii) Determination of central tendencies and variability (standard deviation)

iii) Graphical Representation- Bar graph, Frequency Polygon, Cumulative frequency graph.

iv) Determination of the type of association between two sets of data by drawing scatter diagram