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Faculty of Behavioral Sciences

Paper 2.3: Statistical Techniques in Psychology

Unit

Contents

Teaching Hrs.

Domain

I Introduction to Statistics in Psychology

Concept, scope and purpose of statistics in psychology.

Sample and population, sampling methods.

Variables and scales of measurement, hypotheses, tools of data collection.

Types of statistics: descriptive vs inferential, parametric vs non-parametric. 

Values and scores

Levels of measurement

13

3

3

3

4

 

Must know

 

 

Desirable to know

Nice to know

II Descriptive statistics

Representation of data: frequency distribution, cumulative curve, pie charts, line graphs, bar diagrams,.

Mean, median, mode: properties, calculation from grouped and ungrouped data.

Variance, standard deviation, normal curve, z-scores, standard error.

Percentiles, quartiles, confidence intervals.

 Box plots

Outliers,

10

 

3

 3

 

2

 

2

 

Must know

 

Desirable to know

Nice to know

 

 

III Inferential Statistics

Statistical inference and tests of significance, t-test, p-level,Type I and Type II errors.

Correlation: pearson, biserial and Spearman; regression: linear and multiple.

ANOVA: One-way, two-way; ANCOVA.

Mann-Whitney U Test, chi square test.

 MANOVA.

Kruskall-Wallis test.

17

5

 

4

 

4

4

 

Must know

 

 

Desirable to know

Nice to know

 

 

Syllabus Books:

  1. Coladarci, T. Cobb, C. Minium, E. & Clarke, R. (2011). Fundamentals of Statistical Reasoning in Education. John Wiley.
  2. Bluman, A. (2009). Elementary Statistics – A step by step approach. McGraw Hill: New York.

Reference Books:

  1. Cowles. (2001). Statistics in Psychology: A Historical Perspective.Lawrence Erlbaum Associates.
  2. P. Bakeman. (1992). Understanding Social Science Statistics: A Spreadsheet Approach.  Lawrence Erlbaum Associates.
  3. J. Reichmann. (1961). Use and Abuse of Statistics,Oxford University Press.
  4. Kault. (2003). Statistics with Common Sense.Greenwood Press.

 

Admission 2017