Research methods for computer science students or peopleCOM 3123-1 S1.pptx

this explains the research methods used by computer scientists across the globe.

1. RESEARCH METHODS FOR COMPUTER SCIENCE COM 3123-1

2. INTRODUCTION Definition Research refers to a detailed study of a subject, especially in order to discover new information or reach a new understanding.

3. IMPORTANCE OF RESEARCH METHODOLOGY Advancement of knowledge Helps in problem-solving Developing new technologies Builds credibility Helps in business success Discover and seize opportunities

4. TYPES OF RESEARCH Descriptive Research – incorporates surveys as well as different varieties of fact-finding investigations. Analytical Research – the researcher has to make do with the data and factual information available at their disposal and interpret this information to undertake acute data evaluation Applied Research – used when seeking to resolve issues affecting daily lives e.g. health, education etc.

5. Fundamental Research – concerned with formulation of a theory or understanding a particular phenomenon e.g. human behaviour Quantitative Research – focuses on gathering and interpreting numerical data. Qualitative Research – is interested in finding the reasons why subjects behave the way they do e.g. opinion research, motivational research etc.

6. Conceptual Research – is related to an abstract idea or theory. It’s adopted by thinkers or philosophers with the aim of developing a new concept or re-examine the existing one Empirical/Experimental Research – is undertaken to determine proof that certain variables are affecting others in a particular way

7. Other Types of Research One time research Longitudinal research Exploratory research Formal Research

8. RESEARCH PROCESS Identifying the research problem Formulation research objectives or hypotheses Conducting literature review Research design Describe the target population Data collection Data analysis Report writing

9. POPULATION VS SAMPLE Population is the entire group that the researcher wishes to draw conclusions about Sample is a specific group of individuals drawn from the population from where data is collected Sample Frame Sample Size

10. TYPES OF SAMPLING Probability/Random Sampling – involves random selection, allowing the researcher to make strong statistical inferences about the whole population Non-probability Sampling – involves non-random selection based on convenience or other criteria, allowing for easy collection of data

11. SAMPLING TECHNIQUES Probability Sampling Methods Simple random sampling Systematic random sampling Stratified random sampling Cluster sampling

12. Non-Probability Sampling Methods Convenience sampling Purposive/Judgment sampling Snowball sampling Quota sampling

13. END.