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INFO3315 Reflective Summary 2 Cheat Sheet (DRAFT) by

Data gathering techniques

This is a draft cheat sheet. It is a work in progress and is not finished yet.

Data Gathering Techniques

Data gathering techniques encompass diverse methods of data collection from various sources to allow research, analysis and discus­sion. Each technique features unique advantages and disadv­ant­ages, allowing for seamless alignment to research goals.
The following techniques are ranked in order of import­ance.

1. Interviews

Direct commun­ication between an interv­iewer and interv­iewee.

Interviews can be versatile and apply to various project stages to gauge partic­ipant insights as project progre­ssion continues.

Interv­iewers will present with a script, outline or list of topics to guide the conver­sation along, based on if the interview is unstru­ctured, semi-s­tru­ctured or fully structured.

Body language of the interv­iewer may influence dishonest or skewed answers from the interv­iewee.

Types

Unstru­ctured interviews engage a free-f­lowing route of dialogue and allows interv­iewee’s to explore their opinions, experi­ences and concerns.
Semi-S­tru­ctured interviews designate a set of questions while also allowing open-ended discussion to occur.
Fully Structured interviews feature a predet­ermined script to present questions in an organised manner.

Advantages & Disadv­antages

Advantages
Disadv­antages
Data collected is rich
High amount of resources required
Interview experience can be tailored
Limited sample size
Allows explor­ation of ideas and experi­ences
Prestige response bias
 

2. Observ­ations

 

3. Survey

 

4. Contextual Inquiry

 

5. Focus Groups

 

6. Ethnog­raphy

 

7. Studying Docume­ntation