2. Objectives
Definition of Generalization and Interpretation
Consideration for Generalization of Results
Interpretation of Data
Expected vs.
Unexpected Results
Topic Outline
3. Explain how to generalize research results;
identify the dos and don't in making
generalizations;
interpret research data; and
deal with expected and unexpected results
Objectives
4. Generalization - is a statement that seems to be
true in most situations or for most people, but
that may not be completely true in all cases. -Collins
English Dictionary-
Interpretation-is a communication process,
designed to reveal meanings and relationships of
our cultural and natural heritage, through
involvement with objects, artifacts, landscapes
and sites. -John A. Veverka-
Definition of Generalization and
Interpretation
5. Sampling procedure is essential in order to
arrive at a valid and reliable generalization
Generalization of research results are based
from the samples of the study
If a sample bias exist, we cannot obtain a valid
and acceptable generalization
Generalization of findings should be based only
on the population of interest
Consideration for Generalization of
Results
6. Consideration for Generalization of
Results
Broad generalization not adequately supported
by research data should be avoided
Should be drawn only for the population and
circumstances for which the evidences have
been collected
7. Consideration for Generalization of
Results
Making generalization of the Research Findings
Speculations or Assumptions not
supported by findings must be
avoided
Opinionated statements or inconclusive
and sweeping statements not supported
by research evidence must also be avoided
8. Interpretation of Data
According to Calderon & Gonzalez (1993), interpretation
involves making “inferences pertinent to the research
relation” investigated from where generalization are
drawn.
It reflects the researcher's own understanding of the
research results which are guided by logic and reason,
established theories, and previous findings.