Practical Research I

It is written in the methodology section of the research paper. It starts with the description of the approach to be used whether it is quantitative or qualitative.

• Participants

• Research Design

• Sampling Plan

• Data Analysis

It is the part of methodology which provides the details as to who, and how samples are determined in the study.

• Participants

• Data Gathering

• Sampling Plan

• Data Analysis

They are chosen based on their experience of the reality being investigated. The richness and quality of information depend on the depths of their experience

• Participants

• Data Gathering

• Sampling Plan

• Data Analysis

In practice, the participants of the study are selected for a specific reason.

• Theoretical Sampling

• Convenience Sampling

• Purposive Sampling

• Snowball Sampling

It describes exactly who will qualify to take part in a given study. This is included in purposive sampling.

The initial participants will be determined by testing the waters through volunteer samples. This is an economical way to begin the study but not the most preferred way.

• Theoretical Sampling

• Convenience Sampling

• Purposive Sampling

• Snowball Sampling

The sample may start from one person with whom the researcher has established rapport and trust. The one person who is well informed of the experience may know somebody who has the same experience.

• Theoretical Sampling

• Convenience Sampling

• Purposive Sampling

• Snowball Sampling

In the case of a study that aims to build a theory from human experiences like in grounded theory (GT), it intentionally selects more participants who have experiences that would satisfy the requirements of the theory being formed.

• Theoretical Sampling

• Convenience Sampling

• Purposive Sampling

• Snowball Sampling

It examines personal stories and life experiences to understand how individuals construct meaning.

• Content Analysis

• Narrative Analysis

• Discourse Analysis

• Thematic Analysis

It identifies, analyzes, and reports patterns (themes) within qualitative data. It involves coding the data, searching for themes, and interpreting meanings.

• Content Analysis

• Narrative Analysis

• Discourse Analysis

• Thematic Analysis