The document outlines the meaning and significance of research design, describing it as a blueprint for research studies. It categorizes various qualitative research designs, such as case studies, ethnography, historical research, phenomenology, and grounded theory, detailing their objectives and methodologies. Additionally, it explains sampling techniques, including both probability and non-probability methods, and delineates the process of conducting research from defining a problem to reporting findings.

1. By: DR. REYNALDO A. NAMA

2. 1. Explain the meaning of research
design;
2. Familiarize oneself with the nature of
each qualitative research design;
3. Compare and contrast various
qualitative research design.

3. Definition
Design is a word which means a
plan or something that is conceptualized
by the mind.
Design in the field of research
serves as a blueprint or a skeletal
framework of your research study.

4. Types of Research Design
1. Case Study – research design to
describe a person, a thing, or any
creature on Earth for the purpose of
explaining the reasons behind the nature
of its existence.

5. 2. Ethnography – involves a study of a
certain cultural group or organization.
Participation of researcher in the
activities of the group is necessary.
3. Historical – the scope or coverage of
the a historical study refers to the
number of years covered.

6. 4. Phenomenology – something you
experience on earth as a person. It is a
sensory experience that makes you
perceive or understand things that
naturally occur in your life.
5. Grounded Theory – aims to develop
theory to increase understanding of
something.

7. Sampling Techniques
1. Probability Sampling or
Unbiased sampling
Equal chance of participation in the
sampling or selection is given to every
member.

8. Types
A. Simple random sampling – pure
chance selection, every member of the
groups has equal chances.
B. Systematic Sampling – chance and
system are the ones to determine who
should compose the sample.

9. C. Stratified Sampling – there is a
subdivision during the course of data
analysis stage.
D. Cluster Sampling – This is a
probability sampling that makes you
isolate a set of persons instead of
individual members to serve as a sample
members.

10. 2. Non - Probability Sampling
Non-probability sampling disregards
random selection of subjects. The
subjects are chosen based on the
availability or the purpose of the study,
and in some cases, on the sole
discretion of the researcher.

11. Types
A. Quota Sampling– when a researcher
know the characteristics of the target
population very well.
B. Purposive Sampling – choosing
people you believe corresponds to the
research study.

12. C. Availability Sampling– the
willingness of a person to be part of the
study.
D. Snowball Sampling – recruitment of
participants/respondents to the study.
E. Multiple Variation sampling –
different respondents.

13. Process of Conducting a Research
Define
research
problem
Review the
Literature
Formulate
Hypothesis
Design
Resear
ch
Collect
Data
Analyze
Data
Interpret
and Report

14. Chapter III
Research Design
1. Research Design
2. Locale and Population of the
Study
3. Description of the Respondents
4. Date Gathering Procedure