3 SEMESTER M.COM
Credit points:3
Hours per week:3
Internal:20
External:80
Number of modules:5
Number of Chapters:7
Course Aim:
- To help the students to become competent researchers and to acquaint students with process and methodology of research.
Course Objectives:
- To enable students for acquiring basic knowledge in research methods and to develop basic skills in them to conduct survey researches and case studies.
- To enable students to identify research problems, collect and analyze data and present results.
- To familiarize students with data collection methods, sampling techniques and data analysis procedures.
CONTENTS:
Syllabus
Module 1: Research: Basic concepts - Meaning Objectives Types -Approaches Significance of research in social sciences - Process of research - Formulating problem - Literature Survey - Hypothesis - Research Design - Types - Exploratory, Descriptive, Diagnostic, Experimental - Sample Design - Collecting, analyzing, testing, interpreting and presenting result. 15 hours
Module 2: Population Survey and Sample Study: Population & Sample-Sampling theories - Techniques of sampling - Random and Non random techniques - Sample Size Determination of sample size Sampling Errors - Non sampling Errors - Factors influencing sample size - Optimum sample size - Case Study - Pilot Survey. 20 hours
Module 3: Data collection: collection of Primary Data - Methods of Data Collection Observation - Field Survey Questionnaire - Interview Schedule - Preparation of Questionnaire - Process of Interviewing - Collection of secondary data Sources of secondary data. 10 hours
Module 4: Measurement and Scaling: Variables - Attributes - Process of measurement Attitude Measurement - Scaling - Scaling Techniques - Graphic Rating - Likert Thurstone - Semantic Differential - Stapel - Dichotomous - Scales - Types of Scales Scale Values - Validity and Reliability of Scales - Errors in measurement. 20 hours
Module 5: Data Processing and Presentation: Field Work - Editing Classification - Coding-Tabulation - Summarization - Analysis of data -One way ANOVA - Univariate, Bivariate and Multi variable methods - Tools of Analysis - Descriptive Analysis - Inferential analysis - Interpretation - Presentation - Report Writing - Types of Reports - Contents of Reports - Format of Reports - Documentation Styles. Plagiarism (Theory only) 15 hours
Theory 60% Problem 40%
- Teacher: Safeeda kv FACULTY