Applications of Statistics in Psychology

DESCRIPTION& OBJECTIVES

This Course Provides students an overview of the terms and concepts to learn the scientific methods. To introduce statistical techniques employed within contemporary psychology. Main objectives of this course are: 

To learn basic data analysis techniques using statistics.

To have a broad view of the application of computers in wide range of areas.

To make them capabale for doing statistical analysis of data pf their own research through SPSS.  

COURSE CODE: PSYC-6211

CREDIT HOURS: 03

PREREQUISITES: None

CONTENTS:

  1. Regression
  2.  Inferential Statistics: Parametric Tests
  3.  Analysis of Variance (ANOVA)
  4. One Way ANOVA, Two way ANOVA
  5. Inferential Statistics: Non Parametric Tests
  6. Chi Square Tests of Assosiation, Chi Square Goodness of Fit Test
  7. Chi Square with Two way Classification 
  8. Mann Whitney U Test
  9. Wilcoxon test, Kruskal Wallis H Test

BOOKS RECOMMENDED  & Suggested Readings

  1. Andy Field (2013). Discovering statistics using IBM SPSS Statistics (4th edition). Sage Publications.
  2. Neuman, W. L. (2014). Social Research Methods: Qualitatives and Quantitative Approaches (7th Ed.). Pearson
  3. Gravetter, F. J. & Wallnau, L. B. (2009). Essentials of statistics for behavioral sciences. (8th ed.). New York: Thomson/Wadsworth.
  4. Guilford, J. P. & F. Frenchter, R. (1995). Fundamental statistics in psychology and education.
  5. Hays, W. (1992). Statistics for psychologists. New York,
  6. HoltMiller, S. (1987). Experimental design and statistics. New York: Mathew and Company
  7. Moore, D. S. & Mcable, G. P. (1999). Introduction to the practice of statistics. (3rd ed.). New York: Freeman

ASSESSMENT CRITERIA

In class discussions and on assignments and exams, students will be asked to describe and discuss the key concepts and designs of research methods. Student will be asked to not only submit written assignment but present and discuss their findings in the class

  • Final Term Exam: 50 Marks
  • Mid Term Exam: 30 Marks
  • Sessional: 20 Marks
    • Quiz: 04 Marks
    • Assignment: 05 Marks
    • Presentation: 10 Marks
    • Attendance: 03 Marks
    • Participation

CLASS TIMING: MSc 2nd  (Tues: 11:00 - 12:30 PM) (Wed: 8:00 - 9:30 AM)

                           

Course Material

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