RESEARCH METHODOLOGY

Paper Code: 
24GEO 141
Credits: 
4
Contact Hours: 
60.00
Max. Marks: 
100.00
Course Outcomes: 

Course

Course Outcomes (Cos)

Learning & Teaching Strategies

Assessment Strategies

Paper

Code

Paper Title

 

 

 

 

 

 

 

 

 

 

 

 

24

GEO 141

 

 

 

 

 

 

 

 

 

 

 

 

Research Methodology

On completion of this course, the students will be able to:

CO1: Candidates will be able to understand the meaning, need, design    and    significance    of research and will be able to formulate   a    research   design format, problem and hypothesis. CO2: Candidates will be able to differentiate    between   variable and types of research and will be able     to     select     appropriate sampling method for their work. They will be able to understand different types of data collections for research and format of report writing.

CO3: They will be able to apply the appropriate statistical techniques for their research.

CO4: Apart from statistical techniques RS and GIS techniques are also beneficial for research so that they can apply such techniques after completion of this course.

CO5: Candidates will be able to understand the Introduction to RS & GIS and Network Analysis.

CO6: Contribute effectively in course-specific interaction.

Approach in Teaching:

 

Interactive lectures, Discussion, Tutorials, Reading assignments, Demonstrations, Summative and Formative assessments workshops, Mini video lessons, Digital modules

 

 

Learning activities for the students:

 

Self-            learning assignments, effective questions, Seminar presentation.

Class        Test,

Semester    end examinations, Quiz,    Solving problems      in Tutorials, Assignments, Presentation, Individual and Group projects.

 

15.00
  • Research : meaning, Definition and Objectives of research,
  • Types of Research- Descriptive Vs Analytical, Applied Vs Fundamental,
  • Quantitative Vs Qualitative, Conceptual Vs Empirical Research,
  • Significance of Research
  • Research Design: Meaning, concept, need, designs for different type of research, library, laboratory and field research; advantages of designing research
  • Research problem and developing research proposal: selection of research area and topic, statement of the research problem, its scope, steps involved in defining the problems.
  • Defining concepts, objectives, basic assumptions, delimitation and limitations of the problem, statement of hypothesis

 

15.00
  • Variables: independent and dependent variables, Quantitative and Qualitative variables, discrete and continuous variables, confounding variables, methods of controlling variables, measurement of variables.
  • Sampling: meaning, characteristics of a good sample design, step in sampling design, types, advantages
  • Techniques of Primary data collection: Questionnaire, schedules, interview, observation and other methods;
  • Secondary data Criterion: reliability, suitability and adequacy of data.
  • Processing and analysis of data: processing operation: editing, coding, classification and tabulation of data, Cartographic Presentation of Data, elements of data analysis, role of statistics in data analysis, statistical tables
  • Report writing: types and format

 

15.00

·         Probability: basic aspects, probability of combination of events, probability of random variables, distribution of random variables.

·           Measures of central tendency- mean, median, mode

·         Common distribution functions: binomial probability distribution and normal distribution curve.

·         Measures of dispersion: range, mean deviation, variance, standard deviation, coefficient of variation.

Regression and correlation: least square methods of fitting a regression line, curvilinear regression, correlation methods, correlation coefficient.

15.00
  • Selected techniques of spatial analysis: concentration & dispersal of economic activities,
  • Combinational analysis
  • Methods of measuring regional disparities & inequalities

 

15.00
  • Network analysis,
  • Use of software for quantitative geographical analysis,
  • Introduction to RS & GIS
  • Integrated area development planning, methods of delimiting regions

 

Essential Readings: 
  • Elhance, D.N., Fundamentals of Statistics, Kitab Mehal, Allahabad, 1972.
  • Peter, J. Taylor, Quantitative Methods in Geography, Houghton Mifflin Company, Boston, 1977.
  • Robert Hammond and Patrik Mc Cullagh, Quantitative Methods in Geography, Clarendon Press, Oxford, 1974.
  • Gupta, C.B., an Introduction to Statistical Methods, Ram Prasad and Sons, Agra, 1971.
  • Peter Haggett, Andrew D. Cliff and Allan Frey, Locational Models, Vols. I and II, Arnold Heinemann, New Delhi, 1977.

 

Academic Year: 
2024-2025