SUPPLEMENTARY EXAM MARKING SCHEME.
1. (a)
Pure research Applied research
Studies any problem. Studies problems with important social consequences
Aims at contributing to theory and techniques of the discipline Aims at solving problems.
Requires mainly technicaljudgments. Requires a sense of what the situation and personalities can bear.
Concludes in generalization Studies individual cases without the objective to generalize
Reports in technical language of the discipline Reports in common language.
(b)
Should express the relationship between two or more variables.
Possibilities for empirical verification and testing.
The problem should be related and unambiguously in the form of questions.
The research problem should neither too narrow nor vague.
Should add knowledge to improve current practices.
(c) Non-availability of sufficient data.
Availability of resources
Knowledge and skill of the researcher
Availability of time
External and uncontrollable factors
(d)
Suggesting theories.
Testing theories
Describing social phenomena
(e)
less expensive than census
Less time consuming
Creates suitability in most situations
Reliable.
It is scientific in nature.
2( a)
Defining the population or universe to be surveyed
Specifying the sampling frame
Specifying sampling unit
Specifying the sampling methods
Determining the sample size
Specifying the sampling plan
Selection of the sample.
(b)
empirical problems
Analytical problems
Normative problems.
(3)
introduction
Statement of the problem
Review of the previous studies
Scope of the study
Objectives of the study
Hypothesis of the study
Chapter arrangement
Finding , suggestions and conclusions
4(a)
Religion and customs
Personal experience and individual reaction
Exception of an accepted theory
Folk wisdom or current popular beliefs and practices.
Analogies.
(b)
saves the researchers time and energy
Ensures a proper time schedule
Builds confidence and hope in the mind of the researcher,
5 (a)
interviews
Questionnaire
schedule
Diaries.
(b)
Data collection.
Data editing
Checking reliability and validity
Data analysis